Maximum power transfer tracking for a photovoltaic-supercapacitor energy system. - Younghyun Kim 001; Naehyuck Chang; Yanzhi Wang 001; Massoud Pedram (ISLPED, 2010)

Hybrid electrical energy storage systems. - Massoud Pedram; Naehyuck Chang; Younghyun Kim 001; Yanzhi Wang 001 (ISLPED, 2010)

Charge allocation for hybrid electrical energy storage systems. - Qing Xie 001; Yanzhi Wang 001; Younghyun Kim 001; Naehyuck Chang; Massoud Pedram (CODES+ISSS, 2011)

Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification. - Yanzhi Wang 001; Qing Xie 001; Ahmed Chiheb Ammari; Massoud Pedram (DAC, 2011)

Battery-supercapacitor hybrid system for high-rate pulsed load applications. - Donghwa Shin; Younghyun Kim 001; Jaeam Seo; Naehyuck Chang; Yanzhi Wang 001; Massoud Pedram (DATE, 2011)

Balanced reconfiguration of storage banks in a hybrid electrical energy storage system. - Younghyun Kim 001; Sangyoung Park; Yanzhi Wang 001; Qing Xie 001; Naehyuck Chang; Massimo Poncino; Massoud Pedram (ICCAD, 2011)

Versatile high-fidelity photovoltaic module emulation system. - Woojoo Lee; Younghyun Kim 001; Yanzhi Wang 001; Naehyuck Chang; Massoud Pedram; Soohee Han (ISLPED, 2011)

Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems. - Yanzhi Wang 001; Younghyun Kim 001; Qing Xie 001; Naehyuck Chang; Massoud Pedram (ISLPED, 2011)

Charge replacement in hybrid electrical energy storage systems. - Qing Xie 001; Yanzhi Wang 001; Massoud Pedram; Younghyun Kim 001; Donghwa Shin; Naehyuck Chang (ASP-DAC, 2012)

Networked architecture for hybrid electrical energy storage systems. - Younghyun Kim 001; Sangyoung Park; Naehyuck Chang; Qing Xie 001; Yanzhi Wang 001; Massoud Pedram (DAC, 2012)

Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects. - Xue Lin 001; Yanzhi Wang 001; Siyu Yue; Donghwa Shin; Naehyuck Chang; Massoud Pedram (DAC, 2012)

Multiple-source and multiple-destination charge migration in hybrid electrical energy storage systems. - Yanzhi Wang 001; Qing Xie 001; Massoud Pedram; Younghyun Kim 001; Naehyuck Chang; Massimo Poncino (DATE, 2012)

State of health aware charge management in hybrid electrical energy storage systems. - Qing Xie 001; Xue Lin 001; Yanzhi Wang 001; Massoud Pedram; Donghwa Shin; Naehyuck Chang (DATE, 2012)

Online fault detection and tolerance for photovoltaic energy harvesting systems. - Xue Lin 001; Yanzhi Wang 001; Di Zhu 002; Naehyuck Chang; Massoud Pedram (ICCAD, 2012)

Reinforcement learning based dynamic power management with a hybrid power supply. - Siyu Yue; Di Zhu 002; Yanzhi Wang 001; Massoud Pedram (ICCD, 2012)

Power conversion efficiency characterization and optimization for smartphones. - Woojoo Lee; Yanzhi Wang 001; Donghwa Shin; Naehyuck Chang; Massoud Pedram (ISLPED, 2012)

Battery management for grid-connected PV systems with a battery. - Sangyoung Park; Yanzhi Wang 001; Younghyun Kim 001; Naehyuck Chang; Massoud Pedram (ISLPED, 2012)

Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles. - Yanzhi Wang 001; Xue Lin 001; Naehyuck Chang; Massoud Pedram (ISLPED, 2012)

Enhancing efficiency and robustness of a photovoltaic power system under partial shading. - Yanzhi Wang 001; Xue Lin 001; Younghyun Kim 001; Naehyuck Chang; Massoud Pedram (ISQED, 2012)

Profit maximization for utility companies in an oligopolistic energy market with dynamic prices. - Tiansong Cui; Yanzhi Wang 001; Hadi Goudarzi; Shahin Nazarian; Massoud Pedram (OnlineGreenComm, 2012)

Dynamic Power Management of a Computer with Self Power-Managed Components. - Maryam Triki; Yanzhi Wang 001; Ahmed Chiheb Ammari; Massoud Pedram (PATMOS, 2012)

Online estimation of the remaining energy capacity in mobile systems considering system-wide power consumption and battery characteristics. - Donghwa Shin; Kitae Kim; Naehyuck Chang; Woojoo Lee; Yanzhi Wang 001; Qing Xie 001; Massoud Pedram (ASP-DAC, 2013)

An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems. - Qing Xie 001; Di Zhu 002; Yanzhi Wang 001; Massoud Pedram; Younghyun Kim 001; Naehyuck Chang (ASP-DAC, 2013)

Maximizing return on investment of a grid-connected hybrid electrical energy storage system. - Di Zhu 002; Yanzhi Wang 001; Siyu Yue; Qing Xie 001; Massoud Pedram; Naehyuck Chang (ASP-DAC, 2013)

An optimal control policy in a mobile cloud computing system based on stochastic data. - Xue Lin 001; Yanzhi Wang 001; Massoud Pedram (CloudNet, 2013)

An energy and deadline aware resource provisioning, scheduling and optimization framework for cloud systems. - Yue Gao; Yanzhi Wang 001; Sandeep K. Gupta 001; Massoud Pedram (CODES+ISSS, 2013)

Designing a residential hybrid electrical energy storage system based on the energy buffering strategy. - Di Zhu 002; Siyu Yue; Yanzhi Wang 001; Younghyun Kim 001; Naehyuck Chang; Massoud Pedram (CODES+ISSS, 2013)

Capital cost-aware design and partial shading-aware architecture optimization of a reconfigurable photovoltaic system. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram; Jaemin Kim; Naehyuck Chang (DATE, 2013)

Optimal control of a grid-connected hybrid electrical energy storage system for homes. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram; Sangyoung Park; Naehyuck Chang (DATE, 2013)

Reinforcement Learning-Based Dynamic Power Management of a Battery-Powered System Supplying Multiple Active Modes. - Maryam Triki; Ahmed Chiheb Ammari; Yanzhi Wang 001; Massoud Pedram (EMS, 2013)

A semi-Markovian decision process based control method for offloading tasks from mobile devices to the cloud. - Shuang Chen 001; Yanzhi Wang 001; Massoud Pedram (GLOBECOM, 2013)

Variability-aware design of energy-delay optimal linear pipelines operating in the near-threshold regime and above. - Qing Xie 001; Yanzhi Wang 001; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2013)

Joint sizing and adaptive independent gate control for FinFET circuits operating in multiple voltage regimes using the logical effort method. - Xue Lin 001; Yanzhi Wang 001; Massoud Pedram (ICCAD, 2013)

Dynamic thermal management in mobile devices considering the thermal coupling between battery and application processor. - Qing Xie 001; Jaemin Kim; Yanzhi Wang 001; Donghwa Shin; Naehyuck Chang; Massoud Pedram (ICCAD, 2013)

Semi-analytical current source modeling of near-threshold operating logic cells considering process variations. - Qing Xie 001; Tiansong Cui; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ICCD, 2013)

A game-theoretic price determination algorithm for utility companies serving a community in smart grid. - Tiansong Cui; Yanzhi Wang 001; Siyu Yue; Shahin Nazarian; Massoud Pedram (ISGT, 2013)

A sequential game perspective and optimization of the smart grid with distributed data centers. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (ISGT, 2013)

A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting. - Xue Lin 001; Yanzhi Wang 001; Siyu Yue; Naehyuck Chang; Massoud Pedram (ISLPED, 2013)

Maximum power transfer tracking in a solar USB charger for smartphones. - Sangyoung Park; Bumkyu Koh; Yanzhi Wang 001; Jaemin Kim; Younghyun Kim 001; Massoud Pedram; Naehyuck Chang (ISLPED, 2013)

SIMES: A simulator for hybrid electrical energy storage systems. - Siyu Yue; Di Zhu 002; Yanzhi Wang 001; Massoud Pedram; Younghyun Kim 001; Naehyuck Chang (ISLPED, 2013)

Resource allocation and consolidation in a multi-core server cluster using a Markov decision process model. - Yanzhi Wang 001; Shuang Chen 001; Hadi Goudarzi; Massoud Pedram (ISQED, 2013)

Hierarchical dynamic power management using model-free reinforcement learning. - Yanzhi Wang 001; Maryam Triki; Xue Lin 001; Ahmed Chiheb Ammari; Massoud Pedram (ISQED, 2013)

A nested game-based optimization framework for electricity retailers in the smart grid with residential users and PEVs. - Yang Li; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (OnlineGreenComm, 2013)

A Nested Two Stage Game-Based Optimization Framework in Mobile Cloud Computing System. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (SOSE, 2013)

Computer-Aided Design and Optimization of Hybrid Energy Storage Systems. - Younghyun Kim 001; Yanzhi Wang 001; Naehyuck Chang; Massoud Pedram (Found. Trends Electron. Des. Autom., 2013)

Accurate Modeling of the Delay and Energy Overhead of Dynamic Voltage and Frequency Scaling in Modern Microprocessors. - Sangyoung Park; Jaehyun Park 005; Donghwa Shin; Yanzhi Wang 001; Qing Xie 001; Massoud Pedram; Naehyuck Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment. - Xue Lin 001; Yanzhi Wang 001; Qing Xie 001; Massoud Pedram (IEEE CLOUD, 2014)

Semi-analytical current source modeling of FinFET devices operating in near/sub-threshold regime with independent gate control and considering process variation. - Tiansong Cui; Yanzhi Wang 001; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ASP-DAC, 2014)

Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique. - Shuang Chen 001; Mahboobeh Ghorbani; Yanzhi Wang 001; Paul Bogdan; Massoud Pedram (BigData Congress, 2014)

Prediction and control of bursty cloud workloads: A fractal framework. - Mahboobeh Ghorbani; Yanzhi Wang 001; Yuankun Xue; Massoud Pedram; Paul Bogdan (CODES+ISSS, 2014)

Cost-effective design of a hybrid electrical energy storage system for electric vehicles. - Di Zhu 002; Siyu Yue; Sangyoung Park; Yanzhi Wang 001; Naehyuck Chang; Massoud Pedram (CODES+ISSS, 2014)

Concurrent placement, capacity provisioning, and request flow control for a distributed cloud infrastructure. - Shuang Chen 001; Yanzhi Wang 001; Massoud Pedram (DATE, 2014)

An energy-aware fault tolerant scheduling framework for soft error resilient cloud computing systems. - Yue Gao; Sandeep K. Gupta 001; Yanzhi Wang 001; Massoud Pedram (DATE, 2014)

FEPMA: Fine-grained event-driven power meter for android smartphones based on device driver layer event monitoring. - Kitae Kim; Donghwa Shin; Qing Xie 001; Yanzhi Wang 001; Massoud Pedram; Naehyuck Chang (DATE, 2014)

VRCon: Dynamic reconfiguration of voltage regulators in a multicore platform. - Woojoo Lee; Yanzhi Wang 001; Massoud Pedram (DATE, 2014)

Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles. - Yanzhi Wang 001; Xue Lin 001; Qing Xie 001; Naehyuck Chang; Massoud Pedram (DATE, 2014)

Optimal design and management of a smart residential PV and energy storage system. - Di Zhu 002; Yanzhi Wang 001; Naehyuck Chang; Massoud Pedram (DATE, 2014)

Energy optimal sizing of FinFET standard cells operating in multiple voltage regimes using adaptive independent gate control. - Yue Fu; Yanzhi Wang 001; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2014)

Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2014)

7nm FinFET standard cell layout characterization and power density prediction in near- and super-threshold voltage regimes. - Tiansong Cui; Qing Xie 001; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (IGCC, 2014)

An optimization framework for data centers to minimize electric bill under day-ahead dynamic energy prices while providing regulation services. - Majid Ghasemi-Gol; Yanzhi Wang 001; Massoud Pedram (IGCC, 2014)

Optimal offloading control for a mobile device based on a realistic battery model and semi-markov decision process. - Shuang Chen 001; Yanzhi Wang 001; Massoud Pedram (ICCAD, 2014)

Reinforcement learning based power management for hybrid electric vehicles. - Xue Lin 001; Yanzhi Wang 001; Paul Bogdan; Naehyuck Chang; Massoud Pedram (ICCAD, 2014)

Power supply and consumption co-optimization of portable embedded systems with hybrid power supply. - Xue Lin 001; Yanzhi Wang 001; Naehyuck Chang; Massoud Pedram (ICCD, 2014)

Low write-energy STT-MRAMs using FinFET-based access transistors. - Alireza Shafaei; Yanzhi Wang 001; Massoud Pedram (ICCD, 2014)

Variation-aware joint optimization of the supply voltage and sleep transistor size for the 7nm FinFET technology. - Qing Xie 001; Yanzhi Wang 001; Shuang Chen 001; Massoud Pedram (ICCD, 2014)

Resource allocation optimization in a data center with energy storage devices. - Shuang Chen 001; Yanzhi Wang 001; Massoud Pedram (IECON, 2014)

Model-free learning-based online management of hybrid electrical energy storage systems in electric vehicles. - Siyu Yue; Yanzhi Wang 001; Qing Xie 001; Di Zhu 002; Massoud Pedram; Naehyuck Chang (IECON, 2014)

An electricity trade model for microgrid communities in smart grid. - Tiansong Cui; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ISGT, 2014)

Coordination of the smart grid and distributed data centers: A nested game-based optimization framework. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (ISGT, 2014)

Fast photovoltaic array reconfiguration for partial solar powered vehicles. - Jaemin Kim; Yanzhi Wang 001; Massoud Pedram; Naehyuck Chang (ISLPED, 2014)

Dynamic thermal management for FinFET-based circuits exploiting the temperature effect inversion phenomenon. - Woojoo Lee; Yanzhi Wang 001; Tiansong Cui; Shahin Nazarian; Massoud Pedram (ISLPED, 2014)

An efficient semi-analytical current source model for FinFET devices in near/sub-threshold regime considering multiple input switching and stack effect. - Tiansong Cui; Shuang Chen 001; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ISQED, 2014)

An improved logical effort model and framework applied to optimal sizing of circuits operating in multiple supply voltage regimes. - Xue Lin 001; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ISQED, 2014)

Stack sizing analysis and optimization for FinFET logic cells and circuits operating in the sub/near-threshold regime. - Xue Lin 001; Yanzhi Wang 001; Massoud Pedram (ISQED, 2014)

FinCACTI: Architectural Analysis and Modeling of Caches with Deeply-Scaled FinFET Devices. - Alireza Shafaei; Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (ISVLSI, 2014)

5nm FinFET Standard Cell Library Optimization and Circuit Synthesis in Near-and Super-Threshold Voltage Regimes. - Qing Xie 001; Xue Lin 001; Yanzhi Wang 001; Mohammad Javad Dousti; Alireza Shafaei; Majid Ghasemi-Gol; Massoud Pedram (ISVLSI, 2014)

Negotiation-based task scheduling to minimize user's electricity bills under dynamic energy prices. - Ji Li 006; Yanzhi Wang 001; Tiansong Cui; Shahin Nazarian; Massoud Pedram (OnlineGreenComm, 2014)

Designing Fault-Tolerant Photovoltaic Systems. - Xue Lin 001; Yanzhi Wang 001; Massoud Pedram; Jaemin Kim; Naehyuck Chang (IEEE Des. Test, 2014)

Designing soft-edge flip-flop-based linear pipelines operating in multiple supply voltage regimes. - Qing Xie 001; Yanzhi Wang 001; Massoud Pedram (Integr., 2014)

Optimizing the Power Delivery Network in a Smartphone Platform. - Woojoo Lee; Yanzhi Wang 001; Donghwa Shin; Naehyuck Chang; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems. - Yanzhi Wang 001; Xue Lin 001; Younghyun Kim 001; Naehyuck Chang; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (IEEE Trans. Smart Grid, 2014)

Single-Source, Single-Destination Charge Migration in Hybrid Electrical Energy Storage Systems. - Yanzhi Wang 001; Xue Lin 001; Younghyun Kim 001; Qing Xie 001; Massoud Pedram; Naehyuck Chang (IEEE Trans. Very Large Scale Integr. Syst., 2014)

A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center. - Shuang Chen 001; Yanzhi Wang 001; Massoud Pedram (CLOUD, 2015)

Hierarchical Deployment and Control of Energy Storage Devices in Data Centers. - Shuo Wang 009; Yanzhi Wang 001; Xue Lin 001; Massoud Pedram (CLOUD, 2015)

Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. - Ji Li 006; Yanzhi Wang 001; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ASP-DAC, 2015)

A cross-layer framework for designing and optimizing deeply-scaled FinFET-based SRAM cells under process variations. - Alireza Shafaei; Shuang Chen 001; Yanzhi Wang 001; Massoud Pedram (ASP-DAC, 2015)

Reinforcement learning-based control of residential energy storage systems for electric bill minimization. - Chenxiao Guan; Yanzhi Wang 001; Xue Lin 001; Shahin Nazarian; Massoud Pedram (CCNC, 2015)

Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation. - Tiansong Cui; Yanzhi Wang 001; Shuang Chen 001; Qi Zhu 002; Shahin Nazarian; Massoud Pedram (DAC, 2015)

Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles. - Yanzhi Wang 001; Xue Lin 001; Massoud Pedram; Naehyuck Chang (DAC, 2015)

Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique. - Ji Li 006; Qing Xie 001; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (DATE, 2015)

Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles. - Xue Lin 001; Yanzhi Wang 001; Massoud Pedram; Jaemin Kim; Naehyuck Chang (DATE, 2015)

Efficiency-driven design time optimization of a hybrid energy storage system with networked charge transfer interconnect. - Qing Xie 001; Younghyun Kim 001; Donkyu Baek; Yanzhi Wang 001; Massoud Pedram; Naehyuck Chang (DATE, 2015)

Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies. - Alireza Shafaei Bejestan; Yanzhi Wang 001; Srikanth Ramadurgam; Yuankun Xue; Paul Bogdan; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2015)

Layout Characterization and Power Density Analysis for Shorted-Gate and Independent-Gate 7nm FinFET Standard Cells. - Tiansong Cui; Bowen Chen; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2015)

Multi-source energy harvesting management and optimization for non-volatile processors. - Soroush Heidari; Caiwen Ding; Yongpan Liu; Yanzhi Wang 001; Jingtong Hu (IGSC, 2015)

Design and optimization of a reconfigurable power delivery network for large-area, DVS-enabled OLED displays. - Woojoo Lee; Yanzhi Wang 001; Donghwa Shin; Shahin Nazarian; Massoud Pedram (ISLPED, 2015)

Reconfigurable three dimensional photovoltaic panel architecture for solar-powered time extension. - Donghwa Shin; Naehyuck Chang; Yanzhi Wang 001; Massoud Pedram (ISLPED, 2015)

Optimal choice of FinFET devices for energy minimization in deeply-scaled technologies. - Mohammad Saeed Abrishami; Alireza Shafaei; Yanzhi Wang 001; Massoud Pedram (ISQED, 2015)

Design optimization of sense amplifiers using deeply-scaled FinFET devices. - Alireza Shafaei; Yanzhi Wang 001; Antonio Petraglia; Massoud Pedram (ISQED, 2015)

Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model. - Xue Lin 001; Yanzhi Wang 001; Paul Bogdan; Naehyuck Chang; Massoud Pedram (Intelligent Vehicles Symposium, 2015)

Hierarchical power management of a system with autonomously power-managed components using reinforcement learning. - Maryam Triki; Yanzhi Wang 001; Ahmed Chiheb Ammari; Massoud Pedram (Integr., 2015)

Optimizing a Reconfigurable Power Distribution Network in a Multicore Platform. - Woojoo Lee; Yanzhi Wang 001; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries. - Qing Xie 001; Xue Lin 001; Yanzhi Wang 001; Shuang Chen 001; Mohammad Javad Dousti; Massoud Pedram (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment. - Xue Lin 001; Yanzhi Wang 001; Qing Xie 001; Massoud Pedram (IEEE Trans. Serv. Comput., 2015)

A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types. - Xue Lin 001; Massoud Pedram; Jian Tang 008; Yanzhi Wang 001 (CLOUD, 2016)

Optimal co-scheduling of HVAC control and battery management for energy-efficient buildings considering state-of-health degradation. - Tiansong Cui; Shuang Chen 001; Yanzhi Wang 001; Qi Zhu 002; Shahin Nazarian; Massoud Pedram (ASP-DAC, 2016)

Optimal energy allocation and storage control for distributed estimation with sensor collaboration. - Sijia Liu 001; Yanzhi Wang 001; Makan Fardad; Pramod K. Varshney (CISS, 2016)

Charging state aware optimal auction design for sensor selection in crowdsourcing based sensor networks. - Nianxia Cao; Yanzhi Wang 001; Swastik Brahma; Pramod K. Varshney (FUSION, 2016)

Neural Network-based Prediction Algorithms for In-Door Multi-Source Energy Harvesting System for Non-Volatile Processors. - Ning Liu 007; Caiwen Ding; Yanzhi Wang 001; Jingtong Hu (ACM Great Lakes Symposium on VLSI, 2016)

Area-Efficient Error-Resilient Discrete Fourier Transformation Design using Stochastic Computing. - Bo Yuan 001; Yanzhi Wang 001; Zhongfeng Wang 001 (ACM Great Lakes Symposium on VLSI, 2016)

A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers. - Xue Lin 001; Yanzhi Wang 001; Massoud Pedram (IC2E, 2016)

Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting. - Caiwen Ding; Hongjia Li 003; Jingtong Hu; Yongpan Liu; Yanzhi Wang 001 (ICCD, 2016)

Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles. - Caiwen Ding; Hongjia Li 003; Weiwei Zheng; Yanzhi Wang 001; Naehyuck Chang; Xue Lin 001 (ICCD, 2016)

DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Yanzhi Wang 001; Bo Yuan 001 (ICCD, 2016)

Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. - Xue Lin 001; Yuankun Xue; Paul Bogdan; Yanzhi Wang 001; Siddharth Garg; Massoud Pedram (ICCD, 2016)

Designing reconfigurable large-scale deep learning systems using stochastic computing. - Ao Ren; Zhe Li 001; Yanzhi Wang 001; Qinru Qiu; Bo Yuan 001 (ICRC, 2016)

Multi-source in-door energy harvesting for non-volatile processors. - Caiwen Ding; Soroush Heidari; Yanzhi Wang 001; Yongpan Liu; Jingtong Hu (ISCAS, 2016)

Area-efficient scaling-free DFT/FFT design using stochastic computing. - Bo Yuan 001; Yanzhi Wang 001; Zhongfeng Wang 001 (ISCAS, 2016)

Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. - Ji Li 006; Yanzhi Wang 001; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ISQED, 2016)

Maximizing the performance of NoC-based MPSoCs under total power and power density constraints. - Alireza Shafaei; Yanzhi Wang 001; Lizhong Chen; Shuang Chen 001; Massoud Pedram (ISQED, 2016)

Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency. - Ruizhe Cai; Ao Ren; Yanzhi Wang 001; Bo Yuan 001 (ISVLSI, 2016)

High-Accuracy FIR Filter Design Using Stochastic Computing. - Bo Yuan 001; Yanzhi Wang 001 (ISVLSI, 2016)

A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. - Ruizhe Cai; Ao Ren; Yanzhi Wang 001; Sucheta Soundarajan; Qinru Qiu; Bo Yuan 001; Paul Bogdan (SoCC, 2016)

Design of high-speed low-power polar BP decoder using emerging technologies. - Ao Ren; Bo Yuan 001; Yanzhi Wang 001 (SoCC, 2016)

Standard cell library based layout characterization and power analysis for 10nm gate-all-around (GAA) transistors. - Luhao Wang; Tiansong Cui; Shahin Nazarian; Yanzhi Wang 001; Massoud Pedram (SoCC, 2016)

Model-Free Reinforcement Learning and Bayesian Classification in System-Level Power Management. - Yanzhi Wang 001; Massoud Pedram (IEEE Trans. Computers, 2016)

Concurrent Task Scheduling and Dynamic Voltage and Frequency Scaling in a Real-Time Embedded System With Energy Harvesting. - Xue Lin 001; Yanzhi Wang 001; Naehyuck Chang; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. - Caiwen Ding; Ji Li 006; Weiwei Zheng; Naehyuck Chang; Xue Lin 001; Yanzhi Wang 001 (ASP-DAC, 2017)

Towards acceleration of deep convolutional neural networks using stochastic computing. - Ji Li 006; Ao Ren; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang 001 (ASP-DAC, 2017)

Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. - Ao Ren; Sijia Liu 001; Ruizhe Cai; Wujie Wen; Pramod K. Varshney; Yanzhi Wang 001 (ASP-DAC, 2017)

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. - Ao Ren; Zhe Li 001; Caiwen Ding; Qinru Qiu; Yanzhi Wang 001; Ji Li 006; Xuehai Qian; Bo Yuan 001 (ASPLOS, 2017)

Deep Reinforcement Learning for Building HVAC Control. - Tianshu Wei; Yanzhi Wang 001; Qi Zhu 002 (DAC, 2017)

Structural design optimization for deep convolutional neural networks using stochastic computing. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Bo Yuan 001; Jeffrey Draper; Yanzhi Wang 001 (DATE, 2017)

Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems. - Huimei Cheng; Ji Li 006; Jeffrey T. Draper; Shahin Nazarian; Yanzhi Wang 001 (ACM Great Lakes Symposium on VLSI, 2017)

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. - Zihao Yuan; Ji Li 006; Zhe Li 001; Caiwen Ding; Ao Ren; Bo Yuan 001; Qinru Qiu; Jeffrey Draper; Yanzhi Wang 001 (ACM Great Lakes Symposium on VLSI, 2017)

Ultra-fast robust compressive sensing based on memristor crossbars. - Sijia Liu 001; Ao Ren; Yanzhi Wang 001; Pramod K. Varshney (ICASSP, 2017)

A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs. - Zhiyuan Xu; Yanzhi Wang 001; Jian Tang 008; Jing Wang 075; Mustafa Cenk Gursoy (ICC, 2017)

Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. - Hongjia Li 003; Tianshu Wei; Ao Ren; Qi Zhu 002; Yanzhi Wang 001 (ICCAD, 2017)

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. - Siyu Liao; Zhe Li 001; Xue Lin 001; Qinru Qiu; Yanzhi Wang 001; Bo Yuan 001 (ICCAD, 2017)

Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators. - Ruizhe Cai; Ao Ren; Luhao Wang; Massoud Pedram; Yanzhi Wang 001 (ICCD, 2017)

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. - Ning Liu 007; Zhe Li 001; Jielong Xu; Zhiyuan Xu; Sheng Lin 001; Qinru Qiu; Jian Tang 008; Yanzhi Wang 001 (ICDCS, 2017)

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data. - Ying Liu; Brent Logan; Ning Liu 007; Zhiyuan Xu; Jian Tang 008; Yanzhi Wang 001 (ICHI, 2017)

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. - Liang Zhao 002; Siyu Liao; Yanzhi Wang 001; Zhe Li 001; Jian Tang 008; Bo Yuan 001 (ICML, 2017)

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Caiwen Ding; Ao Ren; Qinru Qiu; Jeffrey Draper; Yanzhi Wang 001 (IJCNN, 2017)

Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach. - Jing Wang 075; Jian Tang 008; Zhiyuan Xu; Yanzhi Wang 001; Guoliang Xue; Xing Zhang 001; Dejun Yang (INFOCOM, 2017)

Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. - Donkyu Baek; Caiwen Ding; Sheng Lin 001; Donghwa Shin; Jaemin Kim; Xue Lin 001; Yanzhi Wang 001; Naehyuck Chang (ISLPED, 2017)

Fast and energy-aware resource provisioning and task scheduling for cloud systems. - Hongjia Li 003; Ji Li 006; Wang Yao; Shahin Nazarian; Xue Lin 001; Yanzhi Wang 001 (ISQED, 2017)

Data center power management for regulation service using neural network-based power prediction. - Ning Liu 007; Xue Lin 001; Yanzhi Wang 001 (ISQED, 2017)

A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting. - Chen Pan; Mimi Xie; Yongpan Liu; Yanzhi Wang 001; Chun Jason Xue; Yuangang Wang; Yiran Chen 001; Jingtong Hu (LCTES, 2017)

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang 001; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (MICRO, 2017)

Memristor crossbar-based ultra-efficient next-generation baseband processors. - Geng Yuan; Caiwen Ding; Ruizhe Cai; Xiaolong Ma; Ziyi Zhao; Ao Ren; Bo Yuan 001; Yanzhi Wang 001 (MWSCAS, 2017)

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. - Liang Zhao 002; Siyu Liao; Yanzhi Wang 001; Jian Tang 008; Bo Yuan 001 (CoRR, 2017)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang 001; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (CoRR, 2017)

Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations. - Hongjia Li 003; Tianshu Wei; Ao Ren; Qi Zhu 002; Yanzhi Wang 001 (CoRR, 2017)

A Memristor-Based Optimization Framework for AI Applications. - Sijia Liu 001; Yanzhi Wang 001; Makan Fardad; Pramod K. Varshney (CoRR, 2017)

Multisource Indoor Energy Harvesting for Nonvolatile Processors. - Caiwen Ding; Ning Liu 007; Yanzhi Wang 001; Ji Li 006; Soroush Heidari; Jingtong Hu; Yongpan Liu (IEEE Des. Test, 2017)

Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model. - Pu Zhao 001; Xue Lin 001; Yanzhi Wang 001; Shuang Chen 001; Massoud Pedram (IET Cyper-Phys. Syst.: Theory & Appl., 2017)

An optimal energy co-scheduling framework for smart buildings. - Tiansong Cui; Shuang Chen 001; Yanzhi Wang 001; Qi Zhu 002; Shahin Nazarian; Massoud Pedram (Integr., 2017)

Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing. - Yi Xie 001; Siyu Liao; Bo Yuan 001; Yanzhi Wang 001; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Optimal Control of PEVs with a Charging Aggregator Considering Regulation Service Provisioning. - Tiansong Cui; Shuang Chen 001; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ACM Trans. Cyber Phys. Syst., 2017)

TEI-power: Temperature Effect Inversion-Aware Dynamic Thermal Management. - Woojoo Lee; Kyuseung Han; Yanzhi Wang 001; Tiansong Cui; Shahin Nazarian; Massoud Pedram (ACM Trans. Design Autom. Electr. Syst., 2017)

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Yanzhi Wang 001; Caiwen Ding; Zhe Li 001; Geng Yuan; Siyu Liao; Xiaolong Ma; Bo Yuan 001; Xuehai Qian; Jian Tang 008; Qinru Qiu; Xue Lin 001 (AAAI, 2018)

Security analysis and enhancement of model compressed deep learning systems under adversarial attacks. - Qi Liu 017; Tao Liu 023; Zihao Liu; Yanzhi Wang 001; Yier Jin; Wujie Wen (ASP-DAC, 2018)

A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. - Pu Zhao 001; Yanzhi Wang 001; Naehyuck Chang; Qi Zhu 002; Xue Lin 001 (ASP-DAC, 2018)

VIBNN: Hardware Acceleration of Bayesian Neural Networks. - Ruizhe Cai; Ao Ren; Ning Liu 007; Caiwen Ding; Luhao Wang; Xuehai Qian; Massoud Pedram; Yanzhi Wang 001 (ASPLOS, 2018)

DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. - Zihao Liu; Tao Liu 023; Wujie Wen; Lei Jiang 001; Jie Xu 001; Yanzhi Wang 001; Gang Quan (DAC, 2018)

FFT-based deep learning deployment in embedded systems. - Sheng Lin 001; Ning Liu 007; Mahdi Nazemi; Hongjia Li 003; Caiwen Ding; Yanzhi Wang 001; Massoud Pedram (DATE, 2018)

An energy-efficient stochastic computational deep belief network. - Yidong Liu; Yanzhi Wang 001; Fabrizio Lombardi; Jie Han 001 (DATE, 2018)

A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Kaiqi Zhang 003; Jian Tang 008; Wujie Wen; Makan Fardad; Yanzhi Wang 001 (ECCV (8), 2018)

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. - Shuo Wang 009; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang 001; Yun Liang 001 (FPGA, 2018)

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. - Pu Zhao 001; Kaidi Xu; Tianyun Zhang; Makan Fardad; Yanzhi Wang 001; Xue Lin 001 (GlobalSIP, 2018)

Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. - Caiwen Ding; Ao Ren; Geng Yuan; Xiaolong Ma; Jiayu Li; Ning Liu 007; Bo Yuan 001; Yanzhi Wang 001 (ACM Great Lakes Symposium on VLSI, 2018)

Low Power and Trusted Machine Learning. - Avesta Sasan; Qi Zhu 002; Yanzhi Wang 001; Jae-sun Seo; Tinoosh Mohsenin (ACM Great Lakes Symposium on VLSI, 2018)

Design automation methodology and tools for superconductive electronics. - Massoud Pedram; Yanzhi Wang 001 (ICCAD, 2018)

Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. - Zhe Li 001; Shuo Wang 009; Caiwen Ding; Qinru Qiu; Yanzhi Wang 001; Yun Liang 001 (ICLR (Workshop), 2018)

Learning Topics Using Semantic Locality. - Ziyi Zhao; Krittaphat Pugdeethosapol; Sheng Lin 001; Zhe Li 001; Caiwen Ding; Yanzhi Wang 001; Qinru Qiu (ICPR, 2018)

Experience-driven Networking: A Deep Reinforcement Learning based Approach. - Zhiyuan Xu; Jian Tang 008; Jingsong Meng; Weiyi Zhang 001; Yanzhi Wang 001; Chi Harold Liu; Dejun Yang (INFOCOM, 2018)

An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. - Xiaolong Ma; Yipeng Zhang; Geng Yuan; Ao Ren; Zhe Li 001; Jie Han 001; Jingtong Hu; Yanzhi Wang 001 (ISQED, 2018)

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. - Zhe Li 001; Ji Li 006; Ao Ren; Caiwen Ding; Jeffrey Draper; Qinru Qiu; Bo Yuan 001; Yanzhi Wang 001 (ISVLSI, 2018)

A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-negative Matrices. - Chenghong Wang; Zeinab S. Jalali; Caiwen Ding; Yanzhi Wang 001; Sucheta Soundarajan (ISVLSI, 2018)

An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. - Pu Zhao 001; Sijia Liu 001; Yanzhi Wang 001; Xue Lin 001 (ACM Multimedia, 2018)

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. - Zihao Liu; Qi Liu 017; Tao Liu 023; Yanzhi Wang 001; Wujie Wen (CoRR, 2018)

Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. - Fuxun Yu; Zirui Xu; Yanzhi Wang 001; Chenchen Liu; Xiang Chen 010 (CoRR, 2018)

Adversarial Meta-Learning. - Chengxiang Yin 001; Jian Tang 008; Zhiyuan Xu; Yanzhi Wang 001 (CoRR, 2018)

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. - Tianyun Zhang; Kaiqi Zhang 003; Shaokai Ye; Jiayu Li; Jian Tang 008; Wujie Wen; Xue Lin 001; Makan Fardad; Yanzhi Wang 001 (CoRR, 2018)

Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Kaidi Xu; Sijia Liu 001; Pu Zhao 001; Pin-Yu Chen; Huan Zhang 001; Deniz Erdogmus; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2018)

Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. - Fuxun Yu; Chenchen Liu; Yanzhi Wang 001; Liang Zhao 002; Xiang Chen 010 (CoRR, 2018)

Progressive Weight Pruning of Deep Neural Networks using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Kaidi Xu; Yunfei Yang; Fuxun Yu; Jian Tang 008; Makan Fardad; Sijia Liu 001; Xiang Chen 010; Xue Lin 001; et al. (CoRR, 2018)

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Jiaming Xie; Yun Liang 001; Sijia Liu 001; Xue Lin 001; Yanzhi Wang 001 (CoRR, 2018)

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. - Ao Ren; Tianyun Zhang; Shaokai Ye; Jiayu Li; Wenyao Xu; Xuehai Qian; Xue Lin 001; Yanzhi Wang 001 (CoRR, 2018)

Reconfigurable Photovoltaic Systems for Electric Vehicles. - Caiwen Ding; Hongjia Li 003; Weiwei Zheng; Yanzhi Wang 001; Xue Lin 001 (IEEE Des. Test, 2018)

An Energy-Efficient Online-Learning Stochastic Computational Deep Belief Network. - Yidong Liu; Yanzhi Wang 001; Fabrizio Lombardi; Jie Han 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars. - Ruizhe Cai; Ao Ren; Sucheta Soundarajan; Yanzhi Wang 001 (Nano Commun. Networks, 2018)

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. - Hongjia Li 003; Ruizhe Cai; Ning Liu 007; Xue Lin 001; Yanzhi Wang 001 (Nano Commun. Networks, 2018)

Model-free Control for Distributed Stream Data Processing using Deep Reinforcement Learning. - Teng Li 021; Zhiyuan Xu; Jian Tang 008; Yanzhi Wang 001 (Proc. VLDB Endow., 2018)

A Stochastic Computational Multi-Layer Perceptron with Backward Propagation. - Yidong Liu; Siting Liu 001; Yanzhi Wang 001; Fabrizio Lombardi; Jie Han 001 (IEEE Trans. Computers, 2018)

An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes. - Tiansong Cui; Ji Li 006; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (IEEE Trans. Emerg. Top. Comput., 2018)

Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. - Jaemin Kim; Donkyu Baek; Caiwen Ding; Sheng Lin 001; Donghwa Shin; Xue Lin 001; Yanzhi Wang 001; Youngjin Cho; Sang Hyun Park; Naehyuck Chang (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. - Yanzhi Wang 001; Zheng Zhan 001; Liang Zhao 002; Jian Tang 008; Siyue Wang; Jiayu Li; Bo Yuan 001; Wujie Wen; Xue Lin 001 (AAAI, 2019)

A system-level perspective to understand the vulnerability of deep learning systems. - Tao Liu 023; Nuo Xu; Qi Liu 017; Yanzhi Wang 001; Wujie Wen (ASP-DAC, 2019)

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. - Pu Zhao 001; Kaidi Xu; Sijia Liu 001; Yanzhi Wang 001; Xue Lin 001 (ASP-DAC, 2019)

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. - Ao Ren; Tianyun Zhang; Shaokai Ye; Jiayu Li; Wenyao Xu; Xuehai Qian; Xue Lin 001; Yanzhi Wang 001 (ASPLOS, 2019)

A Sparse-Adaptive CNN Processor with Area/Performance balanced N-Way Set-Associate PE Arrays Assisted by a Collision-Aware Scheduler. - Zhe Yuan; Jingyu Wang 004; Yixiong Yang; Jinshan Yue; Zhibo Wang 004; Xiaoyu Feng; Yanzhi Wang 001; Xueqing Li 002; Huazhong Yang; Yongpan Liu (A-SSCC, 2019)

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. - Zihao Liu; Qi Liu 017; Tao Liu 023; Nuo Xu; Xue Lin 001; Yanzhi Wang 001; Wujie Wen (CVPR, 2019)

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. - Zihao Liu; Xiaowei Xu 004; Tao Liu 023; Qi Liu 017; Yanzhi Wang 001; Yiyu Shi 001; Wujie Wen; Meiping Huang; Haiyun Yuan; Jian Zhuang (CVPR, 2019)

Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. - Hao Tang 005; Dan Xu 002; Nicu Sebe; Yanzhi Wang 001; Jason J. Corso; Yan Yan 002 (CVPR, 2019)

A Fault-Tolerant Neural Network Architecture. - Tao Liu 023; Wujie Wen; Lei Jiang 001; Yanzhi Wang 001; Chengmo Yang; Gang Quan (DAC, 2019)

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. - Pu Zhao 001; Siyue Wang; Cheng Gongye; Yanzhi Wang 001; Yunsi Fei; Xue Lin 001 (DAC, 2019)

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. - Caiwen Ding; Shuo Wang 009; Ning Liu 007; Kaidi Xu; Yanzhi Wang 001; Yun Liang 001 (FPGA, 2019)

A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Olivia Chen; Ao Ren; Ning Liu 007; Caiwen Ding; Nobuyuki Yoshikawa; Yanzhi Wang 001 (ACM Great Lakes Symposium on VLSI, 2019)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. - Hongjia Li 003; Ning Liu 007; Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Tianyun Zhang; Xue Lin 001; Wenyao Xu; Yanzhi Wang 001 (ACM Great Lakes Symposium on VLSI, 2019)

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. - Mengshu Sun; Pu Zhao 001; Yanzhi Wang 001; Naehyuck Chang; Xue Lin 001 (ACM Great Lakes Symposium on VLSI, 2019)

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. - Zhe Li 001; Caiwen Ding; Siyue Wang; Wujie Wen; Youwei Zhuo; Chang Liu; Qinru Qiu; Wenyao Xu; Xue Lin 001; Xuehai Qian; Yanzhi Wang 001 (HPCA, 2019)

A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Olivia Chen; Ao Ren; Ning Liu 007; Nobuyuki Yoshikawa; Yanzhi Wang 001 (ICCD, 2019)

Adversarial Robustness vs. Model Compression, or Both? - Shaokai Ye; Xue Lin 001; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang 001 (ICCV, 2019)

Generation of Low Distortion Adversarial Attacks via Convex Programming. - Tianyun Zhang; Sijia Liu 001; Yanzhi Wang 001; Makan Fardad (ICDM, 2019)

Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. - Zhe Li 001; Xiaolong Ma; Ji Li 006; Qinru Qiu; Yanzhi Wang 001 (ICESS, 2019)

Evaluating Fault Resiliency of Compressed Deep Neural Networks. - Majid Sabbagh; Cheng Gongye; Yunsi Fei; Yanzhi Wang 001 (ICESS, 2019)

Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Kaidi Xu; Sijia Liu 001; Pu Zhao 001; Pin-Yu Chen; Huan Zhang 001; Quanfu Fan; Deniz Erdogmus; Yanzhi Wang 001; Xue Lin 001 (ICLR (Poster), 2019)

Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. - Xiao Wang 028; Siyue Wang; Pin-Yu Chen; Yanzhi Wang 001; Brian Kulis; Xue Lin 001; Sang Chin 001 (IJCAI, 2019)

Interpreting and Evaluating Neural Network Robustness. - Fuxun Yu; Zhuwei Qin; Chenchen Liu; Liang Zhao 002; Yanzhi Wang 001; Xiang Chen 010 (IJCAI, 2019)

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. - Ruizhe Cai; Ao Ren; Olivia Chen; Ning Liu 007; Caiwen Ding; Xuehai Qian; Jie Han 001; Wenhui Luo; Nobuyuki Yoshikawa; Yanzhi Wang 001 (ISCA, 2019)

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. - Geng Yuan; Xiaolong Ma; Caiwen Ding; Sheng Lin 001; Tianyun Zhang; Zeinab S. Jalali; Yilong Zhao; Li Jiang 002; Sucheta Soundarajan; Yanzhi Wang 001 (ISLPED, 2019)

A 65nm 0.39-to-140.3TOPS/W 1-to-12b Unified Neural Network Processor Using Block-Circulant-Enabled Transpose-Domain Acceleration with 8.1 × Higher TOPS/mm2and 6T HBST-TRAM-Based 2D Data-Reuse Architecture. - Jinshan Yue; Ruoyang Liu; Wenyu Sun; Zhe Yuan; Zhibo Wang 004; Yung-Ning Tu; Yi-Ju Chen; Ao Ren; Yanzhi Wang 001; Meng-Fan Chang; Xueqing Li 002; Huazhong Yang; et al. (ISSCC, 2019)

IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Xiaolong Ma; Olivia Chen; Ao Ren; Ning Liu 007; Nobuyuki Yoshikawa; Yanzhi Wang 001 (ISVLSI, 2019)

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. - Hongjia Li 003; Sheng Lin 001; Ning Liu 007; Caiwen Ding; Yanzhi Wang 001 (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

GraphQ: Scalable PIM-Based Graph Processing. - Youwei Zhuo; Chao Wang 051; Mingxing Zhang; Rui Wang 014; Dimin Niu; Yanzhi Wang 001; Xuehai Qian (MICRO, 2019)

ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Zhengang Li 001; Hao Sun; Yanzhi Wang 001 (NANOARCH, 2019)

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. - Yilan Li; Hongjia Li 003; Zhe Li 001; Haowen Fang; Amit K. Sanyal; Yanzhi Wang 001; Qinru Qiu (RTCSA, 2019)

Autonomous UAV with Learned Trajectory Generation and Control. - Yilan Li; Mingyang Li; Amit K. Sanyal; Yanzhi Wang 001; Qinru Qiu (SiPS, 2019)

CircConv: A Structured Convolution with Low Complexity. - Siyu Liao; Zhe Li 001; Liang Zhao 002; Qinru Qiu; Yanzhi Wang 001; Bo Yuan 001 (CoRR, 2019)

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. - Shaokai Ye; Xiaoyu Feng; Tianyun Zhang; Xiaolong Ma; Sheng Lin 001; Zhengang Li 001; Kaidi Xu; Wujie Wen; Sijia Liu 001; Jian Tang 008; Makan Fardad; Xue Lin 001; et al. (CoRR, 2019)

Second Rethinking of Network Pruning in the Adversarial Setting. - Shaokai Ye; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2019)

ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Zhengang Li 001; Hao Sun; Yanzhi Wang 001 (CoRR, 2019)

26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone. - Wei Niu 002; Xiaolong Ma; Yanzhi Wang 001; Bin Ren 002 (CoRR, 2019)

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. - Sheng Lin 001; Xiaolong Ma; Shaokai Ye; Geng Yuan; Kaisheng Ma; Yanzhi Wang 001 (CoRR, 2019)

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. - Adnan Siraj Rakin; Zhezhi He; Li Yang 009; Yanzhi Wang 001; Liqiang Wang 001; Deliang Fan (CoRR, 2019)

Non-structured DNN Weight Pruning Considered Harmful. - Yanzhi Wang 001; Shaokai Ye; Zhezhi He; Xiaolong Ma; Linfeng Zhang 001; Sheng Lin 001; Geng Yuan; Sia Huat Tan; Zhengang Li 001; Deliang Fan; Xuehai Qian; Xue Lin 001; et al. (CoRR, 2019)

AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. - Ning Liu 007; Xiaolong Ma; Zhiyuan Xu; Yanzhi Wang 001; Jian Tang 008; Jieping Ye (CoRR, 2019)

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. - Ruizhe Cai; Ao Ren; Olivia Chen; Ning Liu 007; Caiwen Ding; Xuehai Qian; Jie Han 001; Wenhui Luo; Nobuyuki Yoshikawa; Yanzhi Wang 001 (CoRR, 2019)

Reweighted Proximal Pruning for Large-Scale Language Representation. - Fu-Ming Guo; Sijia Liu 001; Finlay S. Mungall; Xue Lin 001; Yanzhi Wang 001 (CoRR, 2019)

Evading Real-Time Person Detectors by Adversarial T-shirt. - Kaidi Xu; Gaoyuan Zhang; Sijia Liu 001; Quanfu Fan; Mengshu Sun; Hongge Chen; Pin-Yu Chen; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2019)

DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang 001 (CoRR, 2019)

Normalization and dropout for stochastic computing-based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Ao Ren; Caiwen Ding; Jeffrey Draper; Shahin Nazarian; Qinru Qiu; Bo Yuan 001; Yanzhi Wang 001 (Integr., 2019)

Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning. - Zhiyuan Xu; Jian Tang 008; Chengxiang Yin 001; Yanzhi Wang 001; Guoliang Xue (IEEE J. Sel. Areas Commun., 2019)

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. - Zhe Li 001; Ji Li 006; Ao Ren; Ruizhe Cai; Caiwen Ding; Xuehai Qian; Jeffrey Draper; Bo Yuan 001; Jian Tang 008; Qinru Qiu; Yanzhi Wang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. - Siyu Liao; Yi Xie 001; Xue Lin 001; Yanzhi Wang 001; Min Zhang 005; Bo Yuan 001 (IEEE Trans. Sustain. Comput., 2019)

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. - Ning Liu 007; Xiaolong Ma; Zhiyuan Xu; Yanzhi Wang 001; Jian Tang 008; Jieping Ye (AAAI, 2020)

Embedding Compression with Isotropic Iterative Quantization. - Siyu Liao; Jie Chen 007; Yanzhi Wang 001; Qinru Qiu; Bo Yuan 001 (AAAI, 2020)

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. - Xiaolong Ma; Fu-Ming Guo; Wei Niu 002; Xue Lin 001; Jian Tang 008; Kaisheng Ma; Bin Ren 002; Yanzhi Wang 001 (AAAI, 2020)

DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang 001 (AAAI, 2020)

Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. - Xiaolong Ma; Zhe Li 001; Hongjia Li 003; Qiyuan An; Qinru Qiu; Wenyao Xu; Yanzhi Wang 001 (ASP-DAC, 2020)

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Caiwen Ding; Fuxun Yu; Tao Liu 023; Wujie Wen; Xiang Chen 010; Yanzhi Wang 001 (ASP-DAC, 2020)

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. - Wei Niu 002; Xiaolong Ma; Sheng Lin 001; Shihao Wang; Xuehai Qian; Xue Lin 001; Yanzhi Wang 001; Bin Ren 002 (ASPLOS, 2020)

PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. - Chaoqun Chu; Yanzhi Wang 001; Yilong Zhao; Xiaolong Ma; Shaokai Ye; Yunyan Hong; Xiaoyao Liang; Yinhe Han 001; Li Jiang 002 (DAC, 2020)

AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. - Fuxun Yu; Chenchen Liu; Di Wang 003; Yanzhi Wang 001; Xiang Chen 010 (DATE, 2020)

When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing. - Yawen Zhang; Sheng Lin 001; Runsheng Wang; Yanzhi Wang 001; Yuan Wang 001; Weikang Qian; Ru Huang 001 (DATE, 2020)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Sheng Lin 001; Hongjia Li 003; Wujie Wen; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren 002; Yanzhi Wang 001 (ECCV (13), 2020)

Adversarial T-Shirt! Evading Person Detectors in a Physical World. - Kaidi Xu; Gaoyuan Zhang; Sijia Liu 001; Quanfu Fan; Mengshu Sun; Hongge Chen; Pin-Yu Chen; Yanzhi Wang 001; Xue Lin 001 (ECCV (5), 2020)

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. - Yifan Gong 004; Zheng Zhan 001; Zhengang Li 001; Wei Niu 002; Xiaolong Ma; Wenhao Wang 001; Bin Ren 002; Caiwen Ding; Xue Lin 001; Xiaolin Xu 001; Yanzhi Wang 001 (ACM Great Lakes Symposium on VLSI, 2020)

Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. - Adnan Siraj Rakin; Zhezhi He; Li Yang 009; Yanzhi Wang 001; Liqiang Wang 001; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2020)

ASAP: An Analytical Strategy for AQFP Placement. - Yi-Chen Chang; Hongjia Li 003; Olivia Chen; Yanzhi Wang 001; Nobuyuki Yoshikawa; Tsung-Yi Ho (ICCAD, 2020)

Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators. - Qi Liu 017; Wujie Wen; Yanzhi Wang 001 (ICCAD, 2020)

Learn-Prune-Share for Lifelong Learning. - Zifeng Wang 002; Tong Jian; Kaushik R. Chowdhury; Yanzhi Wang 001; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2020)

CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. - Runbin Shi; Peiyan Dong; Tong Geng; Yuhao Ding; Xiaolong Ma; Hayden Kwok-Hay So; Martin C. Herbordt; Ang Li 006; Yanzhi Wang 001 (ICS, 2020)

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. - Wei Niu 002; Pu Zhao 001; Zheng Zhan 001; Xue Lin 001; Yanzhi Wang 001; Bin Ren 002 (IJCAI, 2020)

Accurate and Energy-Efficient Implementation of Non-Linear Adder in Parallel Stochastic Computing using Sorting Network. - Yawen Zhang; Runsheng Wang; Yixuan Hu; Weikang Qian; Yanzhi Wang 001; Yuan Wang 001; Ru Huang 001 (ISCAS, 2020)

NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting. - Qin Li 016; Sheng Lin 001; Changlu Liu; Yidong Liu; Fei Qiao; Yanzhi Wang 001; Huazhong Yang (ISLPED, 2020)

Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. - Jiansong Li; Zihan Jiang; Fangxin Liu; Xiao Dong; Guangli Li; Xueying Wang 003; Wei Cao 010; Lei Liu 030; Yanzhi Wang 001; Tao Li 022; Xiaobing Feng 002 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. - Mohammad Saeed Abrishami; Amir Erfan Eshratifar; David Eigen; Yanzhi Wang 001; Shahin Nazarian; Massoud Pedram (ISQED, 2020)

One for Many: Transfer Learning for Building HVAC Control. - Shichao Xu; Yixuan Wang 001; Yanzhi Wang 001; Zheng O'Neill; Qi Zhu 002 (BuildSys, 2020)

3D Capsule Networks for Object Classification With Weight Pruning. - Burak Kakillioglu; Ao Ren; Yanzhi Wang 001; Senem Velipasalar (IEEE Access, 2020)

Editorial for the special issue on disruptive computing technologies. - Yiran Chen 001; Deliang Fan; Yanzhi Wang 001; Shigeru Yamashita (CCF Trans. High Perform. Comput., 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li 003; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren 002; Yanzhi Wang 001 (CoRR, 2020)

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. - Xiaolong Ma; Zhengang Li 001; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Jian Tang 008; Xue Lin 001; Bin Ren 002; Yanzhi Wang 001 (CoRR, 2020)

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. - Zhengang Li 001; Yifan Gong 004; Xiaolong Ma; Sijia Liu 001; Mengshu Sun; Zheng Zhan 001; Zhenglun Kong; Geng Yuan; Yanzhi Wang 001 (CoRR, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li 001; Yifan Gong 004; Bin Ren 002; Xue Lin 001; Yanzhi Wang 001; Dingwen Tao (CoRR, 2020)

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. - Zheng Zhan 001; Yifan Gong 004; Zhengang Li 001; Pu Zhao 001; Xiaolong Ma; Wei Niu 002; Xiaolin Xu 001; Bin Ren 002; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2020)

CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. - Shaoshan Liu; Bin Ren 002; Xipeng Shen; Yanzhi Wang 001 (CoRR, 2020)

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Fei Sun; Yen-Kuang Chen; Caiwen Ding; Makan Fardad; Yanzhi Wang 001 (CoRR, 2020)

AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks. - Fangxin Liu; Wenbo Zhao 005; Yanzhi Wang 001; Changzhi Dai; Li Jiang 002 (CoRR, 2020)

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li 001; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang 001; Xue Lin 001; Bin Ren 002 (CoRR, 2020)

ESMFL: Efficient and Secure Models for Federated Learning. - Sheng Lin 001; Chenghong Wang; Hongjia Li 003; Jieren Deng; Yanzhi Wang 001; Caiwen Ding (CoRR, 2020)

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. - Wei Niu 002; Zhenglun Kong; Geng Yuan; Weiwen Jiang; Jiexiong Guan; Caiwen Ding; Pu Zhao 001; Sijia Liu 001; Bin Ren 002; Yanzhi Wang 001 (CoRR, 2020)

MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. - Sung-En Chang; Yanyu Li; Mengshu Sun; Weiwen Jiang; Runbin Shi; Xue Lin 001; Yanzhi Wang 001 (CoRR, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang 001; Bin Ren 002; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li 001; Geng Yuan; Wei Niu 002; Yanyu Li; Pu Zhao 001; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CoRR, 2020)

Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Wujie Wen; Sijia Liu 001; Xipeng Shen; Bin Ren 002; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2020)

A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology. - Yukui Luo; Wenhao Wang 001; Scott Best; Yanzhi Wang 001; Xiaolin Xu 001 (IEEE Trans. Circuits Syst., 2020)

Memory Augmented Deep Recurrent Neural Network for Video Question Answering. - Chengxiang Yin 001; Jian Tang 008; Zhiyuan Xu; Yanzhi Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. - Yuxuan Cai 001; Hongjia Li 003; Geng Yuan; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren 002; Yanzhi Wang 001 (AAAI, 2021)

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. - Yuxuan Cai 001; Geng Yuan; Hongjia Li 003; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren 002; Yanzhi Wang 001 (AAAI, 2021)

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li 001; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang 001; Sijia Liu 001; Xue Lin 001; Bin Ren 002 (AAAI, 2021)

Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application. - Qin Li 016; Peiyan Dong; Zijie Yu; Changlu Liu; Fei Qiao; Yanzhi Wang 001; Huazhong Yang (ASP-DAC, 2021)

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. - Hongjia Li 003; Geng Yuan; Wei Niu 002; Yuxuan Cai 001; Mengshu Sun; Zhengang Li 001; Bin Ren 002; Xue Lin 001; Yanzhi Wang 001 (ASP-DAC, 2021)

An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI. - Jun Liu 075; Feng Deng; Geng Yuan; Xue Lin 001; Houbing Song; Yanzhi Wang 001 (CECNet, 2021)

Teachers Do More Than Teach: Compressing Image-to-Image Models. - Qing Jin; Jian Ren 005; Oliver J. Woodford; Jiazhuo Wang; Geng Yuan; Yanzhi Wang 001; Sergey Tulyakov (CVPR, 2021)

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li 001; Geng Yuan; Wei Niu 002; Pu Zhao 001; Yanyu Li; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CVPR, 2021)

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Caiwen Ding; Makan Fardad; Yanzhi Wang 001 (DAC, 2021)

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. - Pu Zhao 001; Geng Yuan; Yuxuan Cai 001; Wei Niu 002; Qi Liu 017; Wujie Wen; Bin Ren 002; Yanzhi Wang 001; Xue Lin 001 (DAC, 2021)

Towards AQFP-Capable Physical Design Automation. - Hongjia Li 003; Mengshu Sun; Tianyun Zhang; Olivia Chen; Nobuyuki Yoshikawa; Bei Yu 001; Yanzhi Wang 001; Yibo Lin (DATE, 2021)

TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. - Geng Yuan; Payman Behnam; Yuxuan Cai 001; Ali Shafiee; Jingyan Fu; Zhiheng Liao; Zhengang Li 001; Xiaolong Ma; Jieren Deng; Jinhui Wang; Mahdi Nazm Bojnordi; Yanzhi Wang 001; et al. (DATE, 2021)

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. - Sung-En Chang; Yanyu Li; Mengshu Sun; Runbin Shi; Hayden K. H. So; Xuehai Qian; Yanzhi Wang 001; Xue Lin 001 (HPCA, 2021)

ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. - Weizheng Xu; Ashutosh Pattnaik; Geng Yuan; Yanzhi Wang 001; Youtao Zhang; Xulong Tang (ICCAD, 2021)

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. - Zheng Zhan 001; Yifan Gong 004; Pu Zhao 001; Geng Yuan; Wei Niu 002; Yushu Wu; Tianyun Zhang; Malith Jayaweera; David R. Kaeli; Bin Ren 002; Xue Lin 001; Yanzhi Wang 001 (ICCV, 2021)

RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. - Sung-En Chang; Yanyu Li; Mengshu Sun; Weiwen Jiang; Sijia Liu 001; Yanzhi Wang 001; Xue Lin 001 (ICCV, 2021)

Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. - Fangxin Liu; Wenbo Zhao 005; Zhezhi He; Yanzhi Wang 001; Zongwu Wang; Changzhi Dai; Xiaoyao Liang; Li Jiang 002 (ICCV, 2021)

Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang 001 (ICML, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang 001; Bin Ren 002; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

A Compression-Compilation Framework for On-mobile Real-time BERT Applications. - Wei Niu 002; Zhenglun Kong; Geng Yuan; Weiwen Jiang; Jiexiong Guan; Caiwen Ding; Pu Zhao 001; Sijia Liu 001; Bin Ren 002; Yanzhi Wang 001 (IJCAI, 2021)

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. - Xuan Shen; Geng Yuan; Wei Niu 002; Xiaolong Ma; Jiexiong Guan; Zhengang Li 001; Bin Ren 002; Yanzhi Wang 001 (IJCAI, 2021)

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. - Geng Yuan; Payman Behnam; Zhengang Li 001; Ali Shafiee; Sheng Lin 001; Xiaolong Ma; Hang Liu 001; Xuehai Qian; Mahdi Nazm Bojnordi; Yanzhi Wang 001; Caiwen Ding (ISCA, 2021)

MC2-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding. - Zhiyu Chen 003; Qing Jin; Jingyu Wang 003; Yanzhi Wang 001; Kaiyuan Yang 001 (ISLPED, 2021)

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. - Geng Yuan; Zhiheng Liao; Xiaolong Ma; Yuxuan Cai 001; Zhenglun Kong; Xuan Shen; Jingyan Fu; Zhengang Li 001; Chengming Zhang 006; Hongwu Peng; Ning Liu 007; Ao Ren; et al. (ISQED, 2021)

EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads. - Teng Li 021; Zhiyuan Xu; Jian Tang 008; Kun Wu 001; Yanzhi Wang 001 (IWQoS, 2021)

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. - Husheng Han; Kaidi Xu; Xing Hu 001; Xiaobing Chen; Ling Liang; Zidong Du; Qi Guo 001; Yanzhi Wang 001; Yunji Chen (NeurIPS, 2021)

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? - Xiaolong Ma; Geng Yuan; Xuan Shen; Tianlong Chen 001; Xuxi Chen; Xiaohan Chen 001; Ning Liu 007; Minghai Qin; Sijia Liu 001; Zhangyang Wang; Yanzhi Wang 001 (NeurIPS, 2021)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. - Geng Yuan; Xiaolong Ma; Wei Niu 002; Zhengang Li 001; Zhenglun Kong; Ning Liu 007; Yifan Gong 004; Zheng Zhan 001; Chaoyang He 001; Qing Jin; Siyue Wang; Minghai Qin; et al. (NeurIPS, 2021)

DNNFusion: accelerating deep neural networks execution with advanced operator fusion. - Wei Niu 002; Jiexiong Guan; Yanzhi Wang 001; Gagan Agrawal; Bin Ren 002 (PLDI, 2021)

Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. - Jinliang Xie; Jie Tang 003; Yanzhi Wang 001; Qi Zhu 002; Shaoshan Liu (RTAS, 2021)

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li 001; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren 002; Xulong Tang; Yanzhi Wang 001 (RTAS, 2021)

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Shaoshan Liu; Sijia Liu 001; Xipeng Shen; Bin Ren 002; Yanzhi Wang 001; Xue Lin 001 (RTAS, 2021)

JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. - Malith Jayaweera; Kaustubh Shivdikar; Yanzhi Wang 001; David R. Kaeli (SEED, 2021)

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. - Hui Guan 001; Shaoshan Liu; Xiaolong Ma; Wei Niu 002; Bin Ren 002; Xipeng Shen; Yanzhi Wang 001; Pu Zhao 001 (Commun. ACM, 2021)

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang 001 (CoRR, 2021)

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. - Sheng Lin 001; Wei Jiang 001; Wei Wang 311; Kaidi Xu; Yanzhi Wang 001; Shan Liu 001; Songnan Li (CoRR, 2021)

Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Bin Ren 002; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2021)

Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Shaoshan Liu; Bin Ren 002; Yanzhi Wang 001; Xipeng Shen (CoRR, 2021)

ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. - Sung-En Chang; Yanyu Li; Mengshu Sun; Yanzhi Wang 001; Xue Lin 001 (CoRR, 2021)

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Bin Ren 002; Minghai Qin; Hao Tang 005; Yanzhi Wang 001 (CoRR, 2021)

PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking. - Zhiyuan Xu; Kun Wu 001; Weiyi Zhang 001; Jian Tang 008; Yanzhi Wang 001; Guoliang Xue (IEEE J. Sel. Areas Commun., 2021)

CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. - Zhiyu Chen 003; Zhanghao Yu; Qing Jin; Yan He 002; Jingyu Wang 003; Sheng Lin 001; Dai Li; Yanzhi Wang 001; Kaiyuan Yang 001 (IEEE J. Solid State Circuits, 2021)

STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. - Jinshan Yue; Yongpan Liu; Ruoyang Liu; Wenyu Sun; Zhe Yuan; Yung-Ning Tu; Yi-Ju Chen; Ao Ren; Yanzhi Wang 001; Meng-Fan Chang; Xueqing Li 002; Huazhong Yang (IEEE J. Solid State Circuits, 2021)

NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. - Qin Li 016; Changlu Liu; Peiyan Dong; Yanming Zhang; Tong Li; Sheng Lin 001; Minda Yang; Fei Qiao; Yanzhi Wang 001; Li Luo; Huazhong Yang (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. - Yidong Liu; Siting Liu 001; Yanzhi Wang 001; Fabrizio Lombardi; Jie Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking. - Zhiyuan Xu; Dejun Yang; Jian Tang 008; Yinan Tang; Tongtong Yuan; Yanzhi Wang 001; Guoliang Xue (IEEE/ACM Trans. Netw., 2021)

NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols. - Nasim Soltani; Yanyu Li; Deniz Erdogmus; Yanzhi Wang 001; Kaushik R. Chowdhury (CCNC, 2022)

DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization. - Zhiyu Chen 003; Qing Jin; Zhanghao Yu; Yanzhi Wang 001; Kaiyuan Yang 001 (CICC, 2022)

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li 001; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang 001 (DAC, 2022)

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. - Peiyan Dong; Yanyue Xie; Hongjia Li 003; Mengshu Sun; Olivia Chen; Nobuyuki Yoshikawa; Yanzhi Wang 001 (DAC, 2022)

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Xuan Shen; Geng Yuan; Bin Ren 002; Hao Tang 005; Minghai Qin; Yanzhi Wang 001 (ECCV (11), 2022)

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. - Yushu Wu; Yifan Gong 004; Pu Zhao 001; Yanyu Li; Zheng Zhan 001; Wei Niu 002; Hao Tang 005; Minghai Qin; Bin Ren 002; Yanzhi Wang 001 (ECCV (19), 2022)

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. - Geng Yuan; Sung-En Chang; Qing Jin; Alec Lu; Yanyu Li; Yushu Wu; Zhenglun Kong; Yanyue Xie; Peiyan Dong; Minghai Qin; Xiaolong Ma; Xulong Tang; et al. (ECCV (12), 2022)

Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. - Mengshu Sun; Sheng Lin 001; Shan Liu 001; Songnan Li; Yanzhi Wang 001; Wei Jiang 001; Wei Wang 311 (FCCM, 2022)

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. - Yifan Gong 004; Zheng Zhan 001; Pu Zhao 001; Yushu Wu; Chao Wu 006; Caiwen Ding; Weiwen Jiang; Minghai Qin; Yanzhi Wang 001 (ICCAD, 2022)

Quantum Neural Network Compression. - Zhirui Hu; Peiyan Dong; Zhepeng Wang 001; Youzuo Lin; Yanzhi Wang 001; Weiwen Jiang (ICCAD, 2022)

Pruning Adversarially Robust Neural Networks without Adversarial Examples. - Tong Jian; Zifeng Wang 002; Yanzhi Wang 001; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2022)

F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. - Qing Jin; Jian Ren 005; Richard Zhuang; Sumant Hanumante; Zhengang Li 001; Zhiyu Chen 003; Yanzhi Wang 001; Kaiyuan Yang 001; Sergey Tulyakov (ICLR, 2022)

Effective Model Sparsification by Scheduled Grow-and-Prune Methods. - Xiaolong Ma; Minghai Qin; Fei Sun; Zejiang Hou; Kun Yuan 001; Yi Xu 008; Yanzhi Wang 001; Yen-Kuang Chen; Rong Jin 001; Yuan Xie 001 (ICLR, 2022)

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. - Tianlong Chen 001; Xuxi Chen; Xiaolong Ma; Yanzhi Wang 001; Zhangyang Wang (ICML, 2022)

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. - Minghai Qin; Tianyun Zhang; Fei Sun; Yen-Kuang Chen; Makan Fardad; Yanzhi Wang 001; Yuan Xie 001 (ICTAI, 2022)

Real-Time Portrait Stylization on the Edge. - Yanyu Li; Xuan Shen; Geng Yuan; Jiexiong Guan; Wei Niu 002; Hao Tang 005; Bin Ren 002; Yanzhi Wang 001 (IJCAI, 2022)

Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. - Yanyu Li; Pu Zhao 001; Geng Yuan; Xue Lin 001; Yanzhi Wang 001; Xin Chen (IJCAI, 2022)

Reliability Improvement in RRAM-based DNN for Edge Computing. - Md. Oli-Uz-Zaman; Saleh Ahmad Khan; Geng Yuan; Yanzhi Wang 001; Zhiheng Liao; Jingyan Fu; Caiwen Ding; Jinhui Wang (ISCAS, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li 001; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Ning Liu 007; Jian Tang 008; Xue Lin 001; Bin Ren 002; et al. (ISQED, 2022)

GCD2: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. - Wei Niu 002; Jiexiong Guan; Xipeng Shen; Yanzhi Wang 001; Gagan Agrawal; Bin Ren 002 (MICRO, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren 002; Stratis Ioannidis; Yanzhi Wang 001; Jennifer G. Dy (NeurIPS, 2022)

EfficientFormer: Vision Transformers at MobileNet Speed. - Yanyu Li; Geng Yuan; Yang Wen; Ju Hu; Georgios Evangelidis 002; Sergey Tulyakov; Yanzhi Wang 001; Jian Ren 005 (NeurIPS, 2022)

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. - Geng Yuan; Yanyu Li; Sheng Li 019; Zhenglun Kong; Sergey Tulyakov; Xulong Tang; Yanzhi Wang 001; Jian Ren 005 (NeurIPS, 2022)

Advancing Model Pruning via Bi-level Optimization. - Yihua Zhang; Yuguang Yao; Parikshit Ram; Pu Zhao 001; Tianlong Chen 001; Mingyi Hong 001; Yanzhi Wang 001; Sijia Liu 001 (NeurIPS, 2022)

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Bin Ren 002; Yanzhi Wang 001; Shaoshan Liu; Xipeng Shen (RTAS, 2022)

Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles. - Liangkai Liu; Zheng Dong 002; Yanzhi Wang 001; Weisong Shi (RTSS, 2022)

Design and Implementation of Stochastic Neural Networks Using Superconductor Quantum-Flux-Parametron Devices. - Olivia Chen; Yanzhi Wang 001; Renyuan Zhang; Nobuyuki Yoshikawa (SOCC, 2022)

Optimizing Data Layout for Training Deep Neural Networks. - Bingyao Li; Qi Xue; Geng Yuan; Sheng Li 019; Xiaolong Ma; Yanzhi Wang 001; Xulong Tang (WWW (Companion Volume), 2022)

Automated deep learning-based wide-band receiver. - Bahar Azari; Hai Cheng; Nasim Soltani; Haoqing Li 001; Yanyu Li; Mauro Belgiovine; Tales Imbiriba; Salvatore D'Oro; Tommaso Melodia; Yanzhi Wang 001; Pau Closas; Kaushik R. Chowdhury; et al. (Comput. Networks, 2022)

VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. - Mengshu Sun; Haoyu Ma; Guoliang Kang; Yifan Jiang 001; Tianlong Chen 001; Xiaolong Ma; Zhangyang Wang; Yanzhi Wang 001 (CoRR, 2022)

Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. - Anu Jagannath; Jithin Jagannath; Yanzhi Wang 001; Tommaso Melodia (CoRR, 2022)

EfficientFormer: Vision Transformers at MobileNet Speed. - Yanyu Li; Geng Yuan; Yang Wen; Eric Hu; Georgios Evangelidis 002; Sergey Tulyakov; Yanzhi Wang 001; Jian Ren 005 (CoRR, 2022)

Continual Few-Shot Learning with Adversarial Class Storage. - Kun Wu 001; Chengxiang Yin 001; Jian Tang 008; Zhiyuan Xu; Yanzhi Wang 001; Dejun Yang (CoRR, 2022)

Understanding Time Variations of DNN Inference in Autonomous Driving. - Liangkai Liu; Yanzhi Wang 001; Weisong Shi (CoRR, 2022)

PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems. - Qing Jin; Zhiyu Chen 003; Jian Ren 005; Yanyu Li; Yanzhi Wang 001; Kaiyuan Yang 001 (CoRR, 2022)

DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices. - Chao Wu 006; Cheng Ji 002; Geng Yuan; Riwei Pan; Weichao Guo; Chao Yu; Zongwei Zhu; Yanzhi Wang 001 (CoRR, 2022)

The Lottery Ticket Hypothesis for Vision Transformers. - Xuan Shen; Zhenglun Kong; Minghai Qin; Peiyan Dong; Geng Yuan; Xin Meng; Hao Tang 005; Xiaolong Ma; Yanzhi Wang 001 (CoRR, 2022)

Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. - Nasim Soltani; Hai Cheng; Mauro Belgiovine; Yanyu Li; Haoqing Li 001; Bahar Azari; Salvatore D'Oro; Tales Imbiriba; Tommaso Melodia; Pau Closas; Yanzhi Wang 001; Deniz Erdogmus; et al. (IEEE Internet Things Mag., 2022)

GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. - Wei Niu 002; Zhengang Li 001; Xiaolong Ma; Peiyan Dong; Gang Zhou 002; Xuehai Qian; Xue Lin 001; Yanzhi Wang 001; Bin Ren 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs. - Jingyu Wang 004; Songming Yu; Zhuqing Yuan; Jinshan Yue; Zhe Yuan; Ruoyang Liu; Yanzhi Wang 001; Huazhong Yang; Xueqing Li 002; Yongpan Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. - Fuxun Yu; Zirui Xu; Chenchen Liu; Dimitrios Stamoulis; Di Wang 003; Yanzhi Wang 001; Xiang Chen 010 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Radio Frequency Fingerprinting on the Edge. - Tong Jian; Yifan Gong 004; Zheng Zhan 001; Runbin Shi; Nasim Soltani; Zifeng Wang 002; Jennifer G. Dy; Kaushik R. Chowdhury; Yanzhi Wang 001; Stratis Ioannidis (IEEE Trans. Mob. Comput., 2022)

ReCARL: Resource Allocation in Cloud RANs With Deep Reinforcement Learning. - Zhiyuan Xu; Jian Tang 008; Chengxiang Yin 001; Yanzhi Wang 001; Guoliang Xue; Jing Wang 075; Mustafa Cenk Gursoy (IEEE Trans. Mob. Comput., 2022)

Bridging the Gap Between Semantic Segmentation and Instance Segmentation. - Chengxiang Yin 001; Jian Tang 008; Tongtong Yuan; Zhiyuan Xu; Yanzhi Wang 001 (IEEE Trans. Multim., 2022)

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? - Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Zhezhi He; Linfeng Zhang 001; Geng Yuan; Sia Huat Tan; Zhengang Li 001; Deliang Fan; Xuehai Qian; Xue Lin 001; Kaisheng Ma; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. - Tianyun Zhang; Shaokai Ye; Xiaoyu Feng; Xiaolong Ma; Kaiqi Zhang 003; Zhengang Li 001; Jian Tang 008; Sijia Liu 001; Xue Lin 001; Yongpan Liu; Makan Fardad; Yanzhi Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. - Yifan Gong 004; Geng Yuan; Zheng Zhan 001; Wei Niu 002; Zhengang Li 001; Pu Zhao 001; Yuxuan Cai 001; Sijia Liu 001; Bin Ren 002; Xue Lin 001; Xulong Tang; Yanzhi Wang 001 (ACM Trans. Design Autom. Electr. Syst., 2022)

Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. - Cheng Gong; Ye Lu 004; Kunpeng Xie; Zongming Jin; Tao Li 022; Yanzhi Wang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li 001; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren 002; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

Floating Gate Transistor-Based Accurate Digital In-Memory Computing for Deep Neural Networks. - Runze Han; Peng Huang 004; Yachen Xiang; Hong Hu; Sheng Lin 001; Peiyan Dong; Wensheng Shen; Yanzhi Wang 001; Xiaoyan Liu; Jinfeng Kang (Adv. Intell. Syst., 2022)

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. - Zhenglun Kong; Haoyu Ma; Geng Yuan; Mengshu Sun; Yanyue Xie; Peiyan Dong; Xin Meng; Xuan Shen; Hao Tang 005; Minghai Qin; Tianlong Chen 001; Xiaolong Ma; et al. (AAAI, 2023)

Towards Real-Time Segmentation on the Edge. - Yanyu Li; Changdi Yang; Pu Zhao 001; Geng Yuan; Wei Niu 002; Jiexiong Guan; Hao Tang 005; Minghai Qin; Qing Jin; Bin Ren 002; Xue Lin 001; Yanzhi Wang 001 (AAAI, 2023)

Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices. - Olivia Chen; Zhengang Li 001; Tomoharu Yamauchi; Yanzhi Wang 001; Nobuyuki Yoshikawa (AICAS, 2023)

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. - Xuan Shen; Yaohua Wang; Ming Lin 002; Yilun Huang 004; Hao Tang 005; Xiuyu Sun; Yanzhi Wang 001 (CVPR, 2023)

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. - Shengkun Tang; Yaqing Wang 001; Zhenglun Kong; Tianchi Zhang 004; Yao Li 015; Caiwen Ding; Yanzhi Wang 001; Yi Liang; Dongkuan Xu (CVPR, 2023)

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. - Changdi Yang; Pu Zhao 001; Yanyu Li; Wei Niu 002; Jiexiong Guan; Hao Tang 005; Minghai Qin; Bin Ren 002; Xue Lin 001; Yanzhi Wang 001 (CVPR, 2023)

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. - Yifan Gong 004; Pu Zhao 001; Zheng Zhan 001; Yushu Wu; Chao Wu 006; Zhenglun Kong; Minghai Qin; Caiwen Ding; Yanzhi Wang 001 (DAC, 2023)

Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. - Zhengang Li 001; Yanyue Xie; Peiyan Dong; Olivia Chen; Yanzhi Wang 001 (DAC, 2023)

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li 001; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang 001 (DATE, 2023)

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. - Peiyan Dong; Mengshu Sun; Alec Lu; Yanyue Xie; Kenneth Liu; Zhenglun Kong; Xin Meng; Zhengang Li 001; Xue Lin 001; Zhenman Fang; Yanzhi Wang 001 (HPCA, 2023)

MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. - Yushu Wu; Yifan Gong 004; Zheng Zhan 001; Geng Yuan; Yanyu Li; Qi Wang; Chao Wu 006; Yanzhi Wang 001 (ICCAD, 2023)

Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. - Changdi Yang; Yi Sheng; Peiyan Dong; Zhenglun Kong; Yanyu Li; Pinrui Yu; Lei Yang 018; Xue Lin 001; Yanzhi Wang 001 (ICCAD, 2023)

Rethinking Vision Transformers for MobileNet Size and Speed. - Yanyu Li; Ju Hu; Yang Wen; Georgios Evangelidis 002; Kamyar Salahi; Yanzhi Wang 001; Sergey Tulyakov; Jian Ren 005 (ICCV, 2023)

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. - Sizhe Chen; Geng Yuan; Xinwen Cheng; Yifan Gong 004; Minghai Qin; Yanzhi Wang 001; Xiaolin Huang (ICLR, 2023)

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. - Sheng Li 019; Geng Yuan; Yue Dai 005; Youtao Zhang; Yanzhi Wang 001; Xulong Tang (ICLR, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang 001; Jennifer G. Dy (ICML, 2023)

SpeedDETR: Speed-aware Transformers for End-to-end Object Detection. - Peiyan Dong; Zhenglun Kong; Xin Meng; Peng Zhang; Hao Tang 005; Yanzhi Wang 001; Chih-Hsien Chou (ICML, 2023)

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks. - Hongyu Li 003; Zhengang Li 001; Neset Ünver Akmandor; Huaizu Jiang; Yanzhi Wang 001; Taskin Padir (ICRA, 2023)

Data Level Lottery Ticket Hypothesis for Vision Transformers. - Xuan Shen; Zhenglun Kong; Minghai Qin; Peiyan Dong; Geng Yuan; Xin Meng; Hao Tang 005; Xiaolong Ma; Yanzhi Wang 001 (IJCAI, 2023)

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. - Chuxu Zhang; Dongkuan Xu; Mojan Javaheripi; Subhabrata Mukherjee; Lingfei Wu 001; Yinglong Xia; Jundong Li; Meng Jiang 001; Yanzhi Wang 001 (KDD, 2023)

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. - Zhengang Li 001; Geng Yuan; Tomoharu Yamauchi; Masoud Zabihi; Yanyue Xie; Peiyan Dong; Xulong Tang; Nobuyuki Yoshikawa; Devesh Tiwari; Yanzhi Wang 001; Olivia Chen (MICRO, 2023)

Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology. - Olivia Chen; Yanzhi Wang 001; Fei Ke; Nobuyuki Yoshikawa (NEWCAS, 2023)

HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception. - Peiyan Dong; Zhenglun Kong; Xin Meng; Pinrui Yu; Yifan Gong 004; Geng Yuan; Hao Tang 005; Yanzhi Wang 001 (NeurIPS, 2023)

PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile. - Peiyan Dong; Lei Lu; Chao Wu 006; Cheng Lyu; Geng Yuan; Hao Tang 005; Yanzhi Wang 001 (NeurIPS, 2023)

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. - Yanyu Li; Huan Wang 014; Qing Jin; Ju Hu; Pavlo Chemerys; Yun Fu 001; Yanzhi Wang 001; Sergey Tulyakov; Jian Ren 005 (NeurIPS, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 001; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang 001; Jennifer G. Dy (CoRR, 2023)

A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits. - Masoud Zabihi; Yanyue Xie; Zhengang Li 001; Peiyan Dong; Geng Yuan; Olivia Chen; Massoud Pedram; Yanzhi Wang 001 (CoRR, 2023)

Survey: Exploiting Data Redundancy for Optimization of Deep Learning. - Jou-An Chen; Wei Niu 002; Bin Ren 002; Yanzhi Wang 001; Xipeng Shen (ACM Comput. Surv., 2023)

AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions. - Yinan Tang; Tongtong Yuan; Zhiyuan Xu; Weiyi Zhang 001; Jian Tang 008; Guoliang Xue; Yanzhi Wang 001 (IEEE Netw., 2023)

A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware. - Zhiyuan Xu; Dejun Yang; Chengxiang Yin 001; Jian Tang 008; Yanzhi Wang 001; Guoliang Xue (IEEE Trans. Mob. Comput., 2023)

Memristor-Based Spectral Decomposition of Matrices and Its Applications. - Zeinab S. Jalali; Chenghong Wang; Griffin Kearney; Geng Yuan; Caiwen Ding; Yinan Zhou; Yanzhi Wang 001; Sucheta Soundarajan (IEEE Trans. Computers, 2023)

ELIXIR: An Expedient Connection Paradigm for Self-Powered IoT Devices. - Chen Pan; Wen Zhang; Yanzhi Wang 001; Mimi Xie (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. - Yushuo Guan; Ning Liu 007; Pengyu Zhao; Zhengping Che; Kaigui Bian; Yanzhi Wang 001; Jian Tang 008 (IEEE Trans. Neural Networks Learn. Syst., 2023)

AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces. - Sara Garcia Sanchez; Guillem Reus Muns; Carlos Bocanegra; Yanyu Li; Ufuk Muncuk; M. Yousof Naderi; Yanzhi Wang 001; Stratis Ioannidis; Kaushik Roy Chowdhury (IEEE/ACM Trans. Netw., 2023)

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. - Xuan Shen; Peiyan Dong; Lei Lu; Zhenglun Kong; Zhengang Li 001; Ming Lin 002; Chao Wu 006; Yanzhi Wang 001 (AAAI, 2024)

Energy-Aware Tile Size Selection for Affine Programs on GPUs. - Malith Jayaweera; Martin Kong; Yanzhi Wang 001; David R. Kaeli (CGO, 2024)

HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. - Haoyu Ma; Chengming Zhang 006; Lizhi Xiang; Xiaolong Ma; Geng Yuan; Wenkai Zhang; Shiwei Liu 003; Tianlong Chen 001; Dingwen Tao; Yanzhi Wang 001; Zhangyang Wang; Xiaohui Xie (CPAL, 2024)

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. - Zhengang Li 001; Yan Kang; Yuchen Liu 002; Difan Liu; Tobias Hinz; Feng Liu 015; Yanzhi Wang 001 (CVPR, 2024)

TextCraftor: Your Text Encoder can be Image Quality Controller. - Yanyu Li; Xian Liu; Anil Kag; Ju Hu; Yerlan Idelbayev; Dhritiman Sagar; Yanzhi Wang 001; Sergey Tulyakov; Jian Ren 005 (CVPR, 2024)

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. - Yifan Gong 004; Yushu Wu; Zheng Zhan 001; Pu Zhao 001; Liangkai Liu; Chao Wu 006; Xulong Tang; Yanzhi Wang 001 (DAC, 2024)

Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search. - Zhengang Li 001; Xuan Shen; Geng Yuan; Masoud Zabihi; Tomoharu Yamauchi; Yanzhi Wang 001; Olivia Chen (DAC, 2024)

SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. - Yanyue Xie; Peiyan Dong; Geng Yuan; Zhengang Li 001; Masoud Zabihi; Chao Wu 006; Sung-En Chang; Xufeng Zhang; Xue Lin 001; Caiwen Ding; Nobuyuki Yoshikawa; Olivia Chen; et al. (DATE, 2024)

Efficient Training with Denoised Neural Weights. - Yifan Gong 004; Zheng Zhan 001; Yanyu Li; Yerlan Idelbayev; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang 001; Jian Ren 003 (ECCV (83), 2024)

InstructGIE: Towards Generalizable Image Editing. - Zichong Meng; Changdi Yang; Jun Liu 075; Hao Tang 005; Pu Zhao 001; Yanzhi Wang 001 (ECCV (88), 2024)

DiffClass: Diffusion-Based Class Incremental Learning. - Zichong Meng; Jie Zhang; Changdi Yang; Zheng Zhan 001; Pu Zhao 001; Yanzhi Wang 001 (ECCV (87), 2024)

Rethinking Token Reduction for State Space Models. - Zheng Zhan 001; Yushu Wu; Zhenglun Kong; Changdi Yang; Yifan Gong 004; Xuan Shen; Xue Lin 001; Pu Zhao 001; Yanzhi Wang 001 (EMNLP, 2024)

Pruning Foundation Models for High Accuracy without Retraining. - Pu Zhao 001; Fei Sun; Xuan Shen; Pinrui Yu; Zhenglun Kong; Yanzhi Wang 001; Xue Lin 001 (EMNLP (Findings), 2024)

SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. - Geng Yang 001; Yanyue Xie; Zhong Jia Xue; Sung-En Chang; Yanyu Li; Peiyan Dong; Jie Lei 001; Weiying Xie; Yanzhi Wang 001; Xue Lin 001; Zhenman Fang (FPL, 2024)

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. - Chao Wu 006; Yifan Gong 004; Liangkai Liu; Mengquan Li; Yushu Wu; Xuan Shen; Zhimin Li; Geng Yuan; Weisong Shi; Yanzhi Wang 001 (ICCAD, 2024)

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. - Sheng Li 019; Chao Wu 006; Ao Li 004; Yanzhi Wang 001; Xulong Tang; Geng Yuan (ICLR, 2024)

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. - Yifan Gong 004; Zheng Zhan 001; Qing Jin; Yanyu Li; Yerlan Idelbayev; Xian Liu; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang 001; Jian Ren 005 (ICML, 2024)

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. - Zhengang Li 001; Alec Lu; Yanyue Xie; Zhenglun Kong; Mengshu Sun; Hao Tang 005; Zhong Jia Xue; Peiyan Dong; Caiwen Ding; Yanzhi Wang 001; Xue Lin 001; Zhenman Fang (ICS, 2024)

Digital Avatars: Framework Development and Their Evaluation. - Timothy Rupprecht; Sung-En Chang; Yushu Wu; Lei Lu; Enfu Nan; Chih-hsiang Li; Caiyue Lai; Zhimin Li; Zhijun Hu; Yumei He; David R. Kaeli; Yanzhi Wang 001 (IJCAI, 2024)

FasterVD: On Acceleration of Video Diffusion Models. - Pinrui Yu; Dan Luo; Timothy Rupprecht; Lei Lu; Zhenglun Kong; Pu Zhao 001; Yanyu Li; Octavia I. Camps; Xue Lin 001; Yanzhi Wang 001 (IJCAI, 2024)

DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware. - Malith Jayaweera; Yanyu Li; Yanzhi Wang 001; Bin Ren 002; David R. Kaeli (IPDPS, 2024)

HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. - Lei Lu; Yanyue Xie; Wei Jiang 001; Wei Wang 311; Xue Lin 001; Yanzhi Wang 001 (ACM Multimedia, 2024)

Exploring Token Pruning in Vision State Space Models. - Zheng Zhan 001; Zhenglun Kong; Yifan Gong 004; Yushu Wu; Zichong Meng; Hangyu Zheng; Xuan Shen; Stratis Ioannidis; Wei Niu 002; Pu Zhao 001; Yanzhi Wang 001 (NeurIPS, 2024)

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. - Zheng Zhan 001; Yushu Wu; Yifan Gong 004; Zichong Meng; Zhenglun Kong; Changdi Yang; Geng Yuan; Pu Zhao 001; Wei Niu 002; Yanzhi Wang 001 (NeurIPS, 2024)

Search for Efficient Large Language Models. - Xuan Shen; Pu Zhao 001; Yifan Gong 004; Zhenglun Kong; Zheng Zhan 001; Yushu Wu; Ming Lin 002; Chao Wu 006; Xue Lin 001; Yanzhi Wang 001 (NeurIPS, 2024)

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. - Yifan Gong 004; Zheng Zhan 001; Qing Jin; Yanyu Li; Yerlan Idelbayev; Xian Liu; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang 001; Jian Ren 005 (CoRR, 2024)

EdgeOL: Efficient in-situ Online Learning on Edge Devices. - Sheng Li 019; Geng Yuan; Yawen Wu; Yue Dai 005; Chao Wu 006; Alex K. Jones; Jingtong Hu; Yanzhi Wang 001; Xulong Tang (CoRR, 2024)

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. - Xuan Shen; Zhenglun Kong; Changdi Yang; Zhaoyang Han; Lei Lu; Peiyan Dong; Cheng Lyu; Chih-hsiang Li; Xuehang Guo; Zhihao Shu; Wei Niu 002; Miriam Leeser; et al. (CoRR, 2024)

Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. - Jun Liu 075; Chao Wu 006; Changdi Yang; Hao Tang 005; Haoye Dong; Zhenglun Kong; Geng Yuan; Wei Niu 002; Dong Huang; Yanzhi Wang 001 (CoRR, 2024)

Efficient Training with Denoised Neural Weights. - Yifan Gong 004; Zheng Zhan 001; Yanyu Li; Yerlan Idelbayev; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang 001; Jian Ren 005 (CoRR, 2024)

Brain Tumor Classification on MRI in Light of Molecular Markers. - Jun Liu 075; Geng Yuan; Weihao Zeng; Hao Tang 005; Wenbin Zhang 002; Xue Lin 001; Xiaolin Xu 001; Dong Huang; Yanzhi Wang 001 (CoRR, 2024)

MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. - Yanyue Xie; Zhi Zhang; Ding Zhou; Cong Xie; Ziang Song; Xin Liu; Yanzhi Wang 001; Xue Lin 001; An Xu (CoRR, 2024)

Open-Source Acceleration of Stable-Diffusion.cpp. - Jingxu Ng; Cheng Lv; Pu Zhao 001; Wei Niu 002; Juyi Lin; Minzhou Pan; Yun Liang 001; Yanzhi Wang 001 (CoRR, 2024)

Fully Open Source Moxin-7B Technical Report. - Pu Zhao 001; Xuan Shen; Zhenglun Kong; Yixin Shen; Sung-En Chang; Timothy Rupprecht; Lei Lu; Enfu Nan; Changdi Yang; Yumei He; Xingchen Xu; Yu Huang; et al. (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 002; Tong Yu 001; Xiang Chen 010; Yufan Zhou 001; Tong Sun 005; et al. (CoRR, 2024)

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs. - Lei Lu; Zhepeng Wang 001; Runxue Bao; Mengbing Wang; Fangyi Li; Yawen Wu; Weiwen Jiang; Jie Xu 001; Yanzhi Wang 001; Shangqian Gao (CoRR, 2024)

Extremely Energy-Efficient Non-Linear Function Approximation Framework Using Stochastic Superconductor Devices. - Olivia Chen; Renyuan Zhang; Wenhui Luo; Yanzhi Wang 001; Nobuyuki Yoshikawa (IEEE Trans. Emerg. Top. Comput., 2024)

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. - Husheng Han; Xing Hu 001; Yifan Hao 001; Kaidi Xu; Pucheng Dang; Ying Wang 001; Yongwei Zhao; Zidong Du; Qi Guo 001; Yanzhi Wang 001; Xishan Zhang; Tianshi Chen 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. - Peiyan Dong; Jinming Zhuang; Zhuoping Yang; Shixin Ji; Yanyu Li; Dongkuan Xu; Heng Huang; Jingtong Hu; Alex K. Jones; Yiyu Shi 001; Yanzhi Wang 001; Peipei Zhou 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Changdi Yang; Xuan Shen; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang 001 (AAAI, 2025)

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Yanyu Li; Yifan Gong 004; Kai Zhang 045; Hao Tan 002; Jason Kuen; Henghui Ding; Zhihao Shu; Wei Niu 002; et al. (AAAI, 2025)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 005; Tong Yu 001; Xiang Chen 010; Yufan Zhou 001; Tong Sun 005; et al. (AAAI, 2025)

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. - Xuan Shen; Weize Ma; Jing Liu 001; Changdi Yang; Rui Ding; Quanyi Wang; Henghui Ding; Wei Niu 002; Yanzhi Wang 001; Pu Zhao 001; Jun Lin; Jiuxiang Gu (CVPR, 2025)

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. - Yushu Wu; Zhixing Zhang; Yanyu Li; Yanwu Xu 003; Anil Kag; Yang Sui; Huseyin Coskun; Ke Ma; Aleksei Lebedev; Ju Hu; Dimitris N. Metaxas; Yanzhi Wang 001; et al. (CVPR, 2025)

MedFS: Pursuing Low Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Device. - Chao Wu 006; Cheng Ji 002; Li-Pin Chang; Zongwei Zhu; Congming Gao; Weichao Guo; Chao Yu; Yanzhi Wang 001 (FAST, 2025)

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. - Ci Zhang; Chence Yang; Qitao Tan; Jun Liu 075; Ao Li 004; Yanzhi Wang 001; Jin Lu 001; Jinhui Wang; Geng Yuan (ACM Great Lakes Symposium on VLSI, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang 001 (ICASSP, 2025)

Sparse Learning for State Space Models on Mobile. - Xuan Shen; Hangyu Zheng; Yifan Gong 004; Zhenglun Kong; Changdi Yang; Zheng Zhan 001; Yushu Wu; Xue Lin 001; Yanzhi Wang 001; Pu Zhao 001; Wei Niu 002 (ICLR, 2025)

Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices. - Zhengang Li 001; Hongwu Peng; Xuan Shen; Masoud Zabihi; Xi Xie; Geng Yuan; Yanzhi Wang 001; Olivia Chen; Caiwen Ding (ICS, 2025)

FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. - Changdi Yang; Zheng Zhan 001; Ci Zhang; Yifan Gong 004; Yize Li; Zichong Meng; Jun Liu 075; Xuan Shen; Hao Tang 005; Geng Yuan; Pu Zhao 001; Xue Lin 001; et al. (IJCAI, 2025)

Can Adversarial Examples be Parsed to Reveal Victim Model Information? - Yuguang Yao; Jiancheng Liu; Yifan Gong 004; Xiaoming Liu 002; Yanzhi Wang 001; Xue Lin 001; Sijia Liu 001 (WACV, 2025)

Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. - Pinrui Yu; Zhenglun Kong; Pu Zhao 001; Peiyan Dong; Hao Tang 005; Fei Sun; Xue Lin 001; Yanzhi Wang 001 (WACV, 2025)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang 001 (Intell. Syst. Appl., 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

Efficient Reasoning with Hidden Thinking. - Xuan Shen; Yizhou Wang; Xiangxi Shi; Yanzhi Wang 001; Pu Zhao 001; Jiuxiang Gu (CoRR, 2025)

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning. - Qitao Tan; Jun Liu 075; Zheng Zhan 001; Caiwei Ding; Yanzhi Wang 001; Jin Lu 001; Geng Yuan (CoRR, 2025)

Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. - Qitao Tan; Sung-En Chang; Rui Xia; Huidong Ji; Chence Yang; Ci Zhang; Jun Liu 075; Zheng Zhan 001; Zhou Zou; Yanzhi Wang 001; Jin Lu 001; Geng Yuan (CoRR, 2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Weihao Zeng; Hao Tang 005; Xuan Shen; Changdi Yang; Wenbin Zhang 002; Geng Yuan; Wei Niu 002; Xue Lin 001; Yanzhi Wang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Structured Agent Distillation for Large Language Model. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Tianqi Li; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance. - Xuan Shen; Chenxia Han; Yufa Zhou 001; Yanyue Xie; Yifan Gong 004; Quanyi Wang; Yiwei Wang 001; Yanzhi Wang 001; Pu Zhao 001; Jiuxiang Gu (CoRR, 2025)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. - Xuan Shen; Weize Ma; Yufa Zhou 001; Enhao Tang; Yanyue Xie; Zhengang Li 001; Yifan Gong 004; Quanyi Wang; Henghui Ding; Yiwei Wang 001; Yanzhi Wang 001; Pu Zhao 001; et al. (CoRR, 2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. - Zhenglun Kong; Zheng Zhan 001; Shiyue Hou; Yifan Gong 004; Xin Meng; Pengwei Sui; Peiyan Dong; Xuan Shen; Zifeng Wang 002; Pu Zhao 001; Hao Tang 005; Stratis Ioannidis; et al. (CoRR, 2025)

Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement. - Qihui Fan; Enfu Nan; Wenbo Li; Lei Lu; Pu Zhao 001; Yanzhi Wang 001 (CoRR, 2025)

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection. - Zheng Zhan 001; Liliang Ren; Shuohang Wang; Liyuan Liu; Yang Liu; Yeyun Gong; Yanzhi Wang 001; Yelong Shen (CoRR, 2025)

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting. - Juyi Lin; Amir Taherin; Arash Akbari; Arman Akbari; Lei Lu; Guangyu Chen; Taskin Padir; Xiaomeng Yang; Weiwei Chen; Yiqian Li; Xue Lin 001; David R. Kaeli; et al. (CoRR, 2025)

CIMUS: 3D-Stacked Computing-in-Memory Under Image Sensor Architecture for Efficient Machine Vision. - Lixia Han; Yiyang Chen; Siyuan Chen; Haozhang Yang; Ao Shi; Guihai Yu; Jiaqi Li; Zheng Zhou; Yijiao Wang; Yanzhi Wang 001; Xiaoyan Liu; Jinfeng Kang; et al. (IEEE Trans. Computers, 2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. - Jun Liu 075; Zhenglun Kong; Changdi Yang; Fan Yang; Tianqi Li; Peiyan Dong; Joannah Nanjekye; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; et al. (CoRR, 2025)

Cross-Platform Scaling of Vision-Language-Action Models from Edge to Cloud GPUs. - Amir Taherin; Juyi Lin; Arash Akbari; Arman Akbari; Pu Zhao 001; Weiwei Chen; David R. Kaeli; Yanzhi Wang 001 (CoRR, 2025)

RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing. - Timothy Rupprecht; Enfu Nan; Arash Akbari; Arman Akbari; Lei Lu; Priyanka Maan; Sean Duffy; Pu Zhao 001; Yumei He; David R. Kaeli; Yanzhi Wang 001 (CoRR, 2025)

Collaborative Compression for Large-Scale MoE Deployment on Edge. - Yixiao Chen; Yanyue Xie; Ruining Yang; Wei Jiang 001; Wei Wang 311; Yong He; Yue Chen; Pu Zhao 001; Yanzhi Wang 001 (CoRR, 2025)

AutoViT: Achieving Real-Time Vision Transformers on Mobile via Latency-aware Coarse-to-Fine Search. - Zhenglun Kong; Dongkuan Xu; Zhengang Li 001; Peiyan Dong; Hao Tang 005; Yanzhi Wang 001; Subhabrata Mukherjee (Int. J. Comput. Vis., 2025)

Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li 001; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Jun Liu 075; Mei Zhang; Yanzhi Wang 001; Xue Lin 001; Bin Ren 002 (ACM Trans. Archit. Code Optim., 2025)

LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation. - Yang Xiao; Gen Li 012; Kaiyuan Deng; Yushu Wu; Zheng Zhan 001; Yanzhi Wang 001; Xiaolong Ma; Bo Hui 001 (CoRR, 2025)