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

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

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

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

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

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

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

A sequential game perspective and optimization of the smart grid with distributed data centers. - Yanzhi Wang; 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; Siyu Yue; Naehyuck Chang; Massoud Pedram (ISLPED, 2013)

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

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

Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment. - Xue Lin 001; Yanzhi Wang; 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; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ASP-DAC, 2014)

Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles. - Yanzhi Wang; Xue Lin 001; Qing Xie 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; 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; Xue Lin 001; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2014)

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

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

FinCACTI: Architectural Analysis and Modeling of Caches with Deeply-Scaled FinFET Devices. - Alireza Shafaei; Yanzhi Wang; 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; Mohammad Javad Dousti; Alireza Shafaei; Majid Ghasemi-Gol; Massoud Pedram (ISVLSI, 2014)

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

Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems. - Yanzhi Wang; 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; Xue Lin 001; Massoud Pedram (IEEE Trans. Smart Grid, 2014)

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

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

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

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

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

Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. - Xue Lin 001; Paul Bogdan; Naehyuck Chang; Massoud Pedram (ICCAD, 2015)

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

Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries. - Qing Xie 001; Xue Lin 001; Yanzhi Wang; 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; 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 (CLOUD, 2016)

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

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

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

Concurrent Task Scheduling and Dynamic Voltage and Frequency Scaling in a Real-Time Embedded System With Energy Harvesting. - Xue Lin 001; Yanzhi Wang; 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 (ASP-DAC, 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; Bo Yuan 001 (ICCAD, 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; Naehyuck Chang (ISLPED, 2017)

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

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

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; 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)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; 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)

CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing. - Ji Li 006; Xue Lin 001; Shahin Nazarian; Massoud Pedram (IET Cyper-Phys. Syst.: Theory & Appl., 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; Shuang Chen 001; Massoud Pedram (IET Cyper-Phys. Syst.: Theory & Appl., 2017)

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Yanzhi Wang; 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)

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

Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. - Hanchen Yang; Feiyang Kang; Caiwen Ding; Ji Li 006; Jaemin Kim; Donkyu Baek; Shahin Nazarian; Xue Lin 001; Paul Bogdan; Naehyuck Chang (DATE, 2018)

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. - Siyue Wang; Xiao Wang 028; Shaokai Ye; Pu Zhao 001; Xue Lin 001 (GlobalSIP, 2018)

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

Defensive dropout for hardening deep neural networks under adversarial attacks. - Siyue Wang; Xiao Wang 028; Pu Zhao 001; Wujie Wen; David R. Kaeli; Peter Chin 001; Xue Lin 001 (ICCAD, 2018)

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

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

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. - Hongjia Li; Ruizhe Cai; Ning Liu 007; Xue Lin 001; Yanzhi Wang (Nano Commun. Networks, 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; 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; Zheng Zhan 001; Liang Zhao 002; Jian Tang 008; Siyue Wang; Jiayu Li; Bo Yuan 001; Wujie Wen; Xue Lin 001 (AAAI, 2019)

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. - Pu Zhao 001; Kaidi Xu; Sijia Liu 001; Yanzhi Wang; 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 (ASPLOS, 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; Wujie Wen (CVPR, 2019)

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

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

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. - Pu Zhao 001; Sijia Liu 001; Pin-Yu Chen; Nghia Hoang; Kaidi Xu; Bhavya Kailkhura; Xue Lin 001 (ICCV, 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; 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; Brian Kulis; Xue Lin 001; Sang Chin 001 (IJCAI, 2019)

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. - Kaidi Xu; Hongge Chen; Sijia Liu 001; Pin-Yu Chen; Tsui-Wei Weng; Mingyi Hong 001; Xue Lin 001 (IJCAI, 2019)

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. - Xiangyi Chen; Sijia Liu 001; Kaidi Xu; Xingguo Li; Xue Lin 001; Mingyi Hong 001; David D. Cox (NeurIPS, 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; 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; Xue Lin 001 (CoRR, 2019)

Interpreting Adversarial Examples by Activation Promotion and Suppression. - Kaidi Xu; Sijia Liu 001; Gaoyuan Zhang; Mengshu Sun; Pu Zhao 001; Quanfu Fan; Chuang Gan 001; Xue Lin 001 (CoRR, 2019)

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

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

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

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; Yanzhi Wang (AAAI, 2020)

Towards Certificated Model Robustness Against Weight Perturbations. - Tsui-Wei Weng; Pu Zhao 001; Sijia Liu 001; Pin-Yu Chen; Xue Lin 001; Luca Daniel (AAAI, 2020)

Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. - Pu Zhao 001; Pin-Yu Chen; Siyue Wang; Xue Lin 001 (AAAI, 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; Bin Ren (ASPLOS, 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; Yifan Gong 004; Bin Ren; Xue Lin 001; Dingwen Tao (DAC, 2020)

3D CNN Acceleration on FPGA using Hardware-Aware Pruning. - Mengshu Sun; Pu Zhao 001; Mehmet Güngör; Massoud Pedram; Miriam Leeser; Xue Lin 001 (DAC, 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; Xue Lin 001 (ECCV (5), 2020)

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

AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. - Xiao Wang 028; Siyue Wang; Pin-Yu Chen; Xue Lin 001; Peter Chin 001 (ICASSP, 2020)

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. - Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Mengshu Sun; Caiwen Ding; Bhavya Kailkhura; Xue Lin 001 (ICASSP, 2020)

New Passive and Active Attacks on Deep Neural Networks in Medical Applications. - Cheng Gongye; Hongjia Li; Xiang Zhang; Majid Sabbagh; Geng Yuan; Xue Lin 001; Thomas Wahl; Yunsi Fei (ICCAD, 2020)

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. - Pu Zhao 001; Pin-Yu Chen; Payel Das; Karthikeyan Natesan Ramamurthy; Xue Lin 001 (ICLR, 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; Bin Ren (IJCAI, 2020)

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. - Kaidi Xu; Zhouxing Shi; Huan Zhang 001; Yihan Wang; Kai-Wei Chang; Minlie Huang; Bhavya Kailkhura; Xue Lin 001; Cho-Jui Hsieh (NeurIPS, 2020)

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

Block Switching: A Stochastic Approach for Deep Learning Security. - Xiao Wang 028; Siyue Wang; Pin-Yu Chen; Xue Lin 001; Peter Chin 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; Yifan Gong 004; Bin Ren; Xue Lin 001; Yanzhi Wang; Dingwen Tao (CoRR, 2020)

Defending against Backdoor Attack on Deep Neural Networks. - Hao Cheng 015; Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (CoRR, 2020)

Automatic Perturbation Analysis on General Computational Graphs. - Kaidi Xu; Zhouxing Shi; Huan Zhang 001; Minlie Huang; Kai-Wei Chang; Bhavya Kailkhura; Xue Lin 001; Cho-Jui Hsieh (CoRR, 2020)

Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jack Jia; Xue Lin 001; Qi Alfred Chen (CoRR, 2020)

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

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

Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jack Jia; Xue Lin 001; Qi Alfred Chen (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 (CoRR, 2020)

Learned Fine-Tuner for Incongruous Few-Shot Learning. - Pu Zhao 001; Sijia Liu 001; Parikshit Ram; Songtao Lu; Djallel Bouneffouf 001; Xue Lin 001 (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; 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)

Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. - Pranay Sharma; Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Xue Lin 001; Pramod K. Varshney (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; Yanzhi Wang; Xue Lin 001 (CoRR, 2020)

Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. - Shi Dong 002; Pu Zhao 001; Xue Lin 001; David R. Kaeli (Parallel Comput., 2020)

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

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

Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. - Siyue Wang; Pu Zhao 001; Xiao Wang 028; Sang Chin 001; Thomas Wahl; Yunsi Fei; Qi Alfred Chen; Xue Lin 001 (BMVC, 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 (CECNet, 2021)

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; 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)

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; Yanzhi Wang; Xue Lin 001 (DAC, 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; Xue Lin 001 (HPCA, 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; Xue Lin 001; Yanzhi Wang (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; Xue Lin 001 (ICCV, 2021)

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. - Kaidi Xu; Huan Zhang 001; Shiqi Wang 002; Yihan Wang; Suman Jana; Xue Lin 001; Cho-Jui Hsieh (ICLR, 2021)

Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. - Siyue Wang; Xiao Wang 028; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (IJCAI, 2021)

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. - Shiqi Wang 002; Huan Zhang 001; Kaidi Xu; Xue Lin 001; Suman Jana; Cho-Jui Hsieh; J. Zico Kolter (NeurIPS, 2021)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. - Geng Yuan; Xiaolong Ma; Wei Niu 002; Zhengang Li; Zhenglun Kong; Ning Liu 007; Yifan Gong 004; Zheng Zhan 001; Chaoyang He 001; Qing Jin; Siyue Wang; Minghai Qin; et al. (NeurIPS, 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; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; Yanzhi Wang (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; Yanzhi Wang; Xue Lin 001 (RTAS, 2021)

Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jack Jia; Xue Lin 001; Qi Alfred Chen (SP (Workshops), 2021)

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jia; Xue Lin 001; Qi Alfred Chen (USENIX Security Symposium, 2021)

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. - Shiqi Wang 002; Huan Zhang 001; Kaidi Xu; Xue Lin 001; Suman Jana; Cho-Jui Hsieh; J. Zico Kolter (CoRR, 2021)

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. - Hao Cheng 015; Kaidi Xu; Chenan Wang; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (CoRR, 2021)

High-Robustness, Low-Transferability Fingerprinting of Neural Networks. - Siyue Wang; Xiao Wang 028; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (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; Yanzhi Wang; Xue Lin 001 (CoRR, 2021)

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

Editorial: Safe and Trustworthy Machine Learning. - Bhavya Kailkhura; Pin-Yu Chen; Xue Lin 001; Bo Li 026 (Frontiers Big Data, 2021)

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. - Danlin Jia; Geng Yuan; Xue Lin 001; Ningfang Mi (CLOUD, 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; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DAC, 2022)

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. - Mengshu Sun; Zhengang Li; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (DAC, 2022)

Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. - Siyue Wang; Geng Yuan; Xiaolong Ma; Yanyu Li; Xue Lin 001; Bhavya Kailkhura (DATE, 2022)

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. - Mengshu Sun; Zhengang Li; Alec Lu; Yanyu Li; Sung-En Chang; Xiaolong Ma; Xue Lin 001; Zhenman Fang (FPGA, 2022)

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. - Zhengang Li; Mengshu Sun; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (FPL, 2022)

Reverse Engineering of Imperceptible Adversarial Image Perturbations. - Yifan Gong 004; Yuguang Yao; Yize Li; Yimeng Zhang; Xiaoming Liu 002; Xue Lin 001; Sijia Liu 001 (ICLR, 2022)

FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. - Zhengang Li; Sheng Lin 001; Shan Liu 001; Songnan Li; Xue Lin 001; Wei Wang 311; Wei Jiang 001 (ICME Workshops, 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; Xin Chen (IJCAI, 2022)

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. - Pu Zhao 001; Parikshit Ram; Songtao Lu; Yuguang Yao; Djallel Bouneffouf 001; Xue Lin 001; Sijia Liu 001 (IJCAI, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li; 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; et al. (ISQED, 2022)

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. - Hao Cheng 015; Kaidi Xu; Zhengang Li; Pu Zhao 001; Chenan Wang; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (WACV (Workshops), 2022)

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. - Hao Cheng 015; Pu Zhao 001; Yize Li; Xue Lin 001; James Diffenderfer; Ryan A. Goldhahn; Bhavya Kailkhura (CoRR, 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; Xiaolong Ma; Peiyan Dong; Gang Zhou; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren (IEEE Trans. Pattern Anal. Mach. Intell., 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; 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; Jian Tang 008; Sijia Liu 001; Xue Lin 001; Yongpan Liu; Makan Fardad; Yanzhi Wang (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; Pu Zhao 001; Yuxuan Cai 001; Sijia Liu 001; Bin Ren; Xue Lin 001; Xulong Tang; Yanzhi Wang (ACM Trans. Design Autom. Electr. 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; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

Less is More: Data Pruning for Faster Adversarial Training. - Yize Li; Pu Zhao 001; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (SafeAI@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; Xue Lin 001; Yanzhi Wang (AAAI, 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; Xue Lin 001; Yanzhi Wang (CVPR, 2023)

Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. - Changdi Yang; Yi Sheng; Peiyan Dong; Zhenglun Kong; Yanyu Li; Pinrui Yu; Lei Yang 018; Xue Lin 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; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (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; Xue Lin 001; Zhenman Fang; Yanzhi Wang (HPCA, 2023)

Machine Learning Across Network-Connected FPGAs. - Dana Diaconu; Yanyue Xie; Mehmet Güngör; Suranga Handagala; Xue Lin 001; Miriam Leeser (HPEC, 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 (ICCAD, 2023)

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. - Minzhou Pan; Yi Zeng 005; Lingjuan Lyu; Xue Lin 001; Ruoxi Jia 001 (USENIX Security Symposium, 2023)

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Pu Zhao 001; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Pursing the Sparse Limitation of Spiking Deep Learning Structures. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Le Yang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation. - Paul D. S. Fink; Stacy A. Doore; Xue Lin 001; Matthew Maring; Pu Zhao 001; Aubree Nygaard; Grant Beals; Richard R. Corey; Raymond J. Perry; Katherine Freund; Velin Dimitrov; Nicholas A. Giudice (Int. J. Hum. Comput. Stud., 2023)

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; Masoud Zabihi; Chao Wu 006; Sung-En Chang; Xufeng Zhang; Xue Lin 001; Caiwen Ding; Nobuyuki Yoshikawa; Olivia Chen; et al. (DATE, 2024)

Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection. - Minzhou Pan; Zhenting Wang; Xin Dong 009; Vikash Sehwag; Lingjuan Lyu; Xue Lin 001 (ECCV (33), 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 (EMNLP, 2024)

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

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

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

Adaptive Homogeneity-Based Client Selection Policy for Federated Learning. - Yiming Xie; Pinrui Yu; Geng Yuan; Xue Lin 001; Ningfang Mi (ISNCC, 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 (ACM Multimedia, 2024)

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

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. - Chenan Wang; Pu Zhao 001; Siyue Wang; Xue Lin 001 (CoRR, 2024)

JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits. - Minzhou Pan; Yi Zeng 005; Xue Lin 001; Ning Yu; Cho-Jui Hsieh; Peter Henderson 002; Ruoxi Jia 001 (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 (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; Xue Lin 001; An Xu (CoRR, 2024)

Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks. - Yuguang Yao; Xiao Guo; Vishal Asnani; Yifan Gong 004; Jiancheng Liu; Xue Lin 001; Xiaoming Liu 002; Sijia Liu 001 (Found. Trends Priv. Secur., 2024)

Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. - Mengshu Sun; Kaidi Xu; Xue Lin 001; Yongli Hu; Baocai Yin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. - Danlin Jia; Geng Yuan; Yiming Xie; Xue Lin 001; Ningfang Mi (ACM Trans. Archit. Code Optim., 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 (AAAI, 2025)

LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. - Yanyue Xie; Zhengang Li; Dana Diaconu; Suranga Handagala; Miriam Leeser; Xue Lin 001 (ASP-DAC, 2025)

Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. - Yize Li; Yihua Zhang; Sijia Liu 001; Xue Lin 001 (ICASSP, 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 (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; Pu Zhao 001; Wei Niu 002 (ICLR, 2025)

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

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 (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)

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)