An Adaptive Invasive Weed Optimization Algorithm. - Shuo Peng; Aijia Ouyang; Jeff Jun Zhang (Int. J. Pattern Recognit. Artif. Intell., 2015)

Synergistic timing speculation for multi-threaded programs. - Atif Yasin; Jeff Jun Zhang; Hu Chen; Siddharth Garg; Sanghamitra Roy; Koushik Chakraborty (DAC, 2016)

BandiTS: Dynamic timing speculation using multi-armed bandit based optimization. - Jeff Jun Zhang; Siddharth Garg (DATE, 2017)

Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. - Jeff Zhang 001; Kartheek Rangineni; Zahra Ghodsi; Siddharth Garg (DAC, 2018)

FATE: fast and accurate timing error prediction framework for low power DNN accelerator design. - Jeff Jun Zhang; Siddharth Garg (ICCAD, 2018)

Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator. - Jeff Jun Zhang; Tianyu Gu; Kanad Basu; Siddharth Garg (VTS, 2018)

ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators. - Jeff Zhang 001; Kartheek Rangineni; Zahra Ghodsi; Siddharth Garg (CoRR, 2018)

Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. - Jeff Jun Zhang; Kang Liu 017; Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Theocharis Theocharides; Alessandro Artussi; Muhammad Shafique 001; Siddharth Garg (DAC, 2019)

Fault-Tolerant Systolic Array Based Accelerators for Deep Neural Network Execution. - Jeff Jun Zhang; Kanad Basu; Siddharth Garg (IEEE Des. Test, 2019)

Split Manufacturing-Based Register Transfer-Level Obfuscation. - Xiaotong Cui; Jeff Jun Zhang; Kaijie Wu 001; Siddharth Garg; Ramesh Karri (ACM J. Emerg. Technol. Comput. Syst., 2019)

CompAct: On-chip Compression of Activations for Low Power Systolic Array Based CNN Acceleration. - Jeff Jun Zhang; Parul Raj; Shuayb Zarar; Amol Ambardekar; Siddharth Garg (ACM Trans. Embed. Comput. Syst., 2019)

Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems. - Jeff Zhang 001; Sameh Elnikety; Shuayb Zarar; Atul Gupta; Siddharth Garg (HotCloud, 2020)

Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators. - Jeff Zhang 001; Zahra Ghodsi; Siddharth Garg; Kartheek Rangineni (IEEE Des. Test, 2020)

OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. - Cheng Tan 002; Nicolas Bohm Agostini; Jeff Zhang 001; Marco Minutoli; Vito Giovanni Castellana; Chenhao Xie 001; Tong Geng; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ASAP, 2021)

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. - Jeff Jun Zhang; Nicolas Bohm Agostini; Shihao Song; Cheng Tan 002; Ankur Limaye; Vinay Amatya; Joseph B. Manzano; Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Gu-Yeon Wei; David Brooks 001 (ASAP, 2021)

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). - Sizhe Zhang; Ruixuan Wang; Jeff Jun Zhang; Abbas Rahimi; Xun Jiao (ASAP, 2021)

SAC: A Novel Multi-hop Routing Policy in Hybrid Distributed IoT System based on Multi-agent Reinforcement Learning. - Wen Zhang; Tao Liu 023; Mimi Xie; Jeff Jun Zhang; Chen Pan (ISQED, 2021)

RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. - Udit Gupta; Samuel Hsia; Jeff Zhang 001; Mark Wilkening; Javin Pombra; Hsien-Hsin Sean Lee; Gu-Yeon Wei; Carole-Jean Wu; David Brooks 001 (MICRO, 2021)

Can We Trust Machine Learning for Electronic Design Automation? - Kang Liu 017; Jeff Jun Zhang; Benjamin Tan 001; Dan Feng 001 (SoCC, 2021)

Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification. - Mingsheng Yin; Akshaj Kumar Veldanda; Amee Trivedi; Jeff Zhang 001; Kai Pfeiffer; Yaqi Hu; Siddharth Garg; Elza Erkip; Ludovic Righetti; Sundeep Rangan (CoRR, 2021)

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. - Sizhe Zhang; Ruixuan Wang; Dongning Ma; Jeff Jun Zhang; Xunzhao Yin; Xun Jiao (DATE, 2022)

M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems. - Wen Zhang; Jeff Zhang 001; Mimi Xie; Tao Liu 023; Wenlu Wang; Chen Pan (DATE, 2022)

A 12nm Agile-Designed SoC for Swarm-Based Perception with Heterogeneous IP Blocks, a Reconfigurable Memory Hierarchy, and an 800MHz Multi-Plane NoC. - Tianyu Jia; Paolo Mantovani; Maico Cassel dos Santos; Davide Giri; Joseph Zuckerman; Erik Jens Loscalzo; Martin Cochet; Karthik Swaminathan; Gabriele Tombesi; Jeff Jun Zhang; Nandhini Chandramoorthy; John-David Wellman; et al. (ESSCIRC, 2022)

From High-Level Frameworks to custom Silicon with SODA. - Serena Curzel; Nicolas Bohm Agostini; Reece Neff; Ankur Limaye; Jeff Jun Zhang; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Fabrizio Ferrandi; et al. (HCS, 2022)

A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. - Maico Cassel dos Santos; Tianyu Jia; Martin Cochet; Karthik Swaminathan; Joseph Zuckerman; Paolo Mantovani; Davide Giri; Jeff Jun Zhang; Erik Jens Loscalzo; Gabriele Tombesi; Kevin Tien; Nandhini Chandramoorthy; et al. (ICCAD, 2022)

ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. - Cheng Tan 002; Thierry Tambe; Jeff Jun Zhang; Bo Fang 002; Tong Geng; Gu-Yeon Wei; David Brooks 001; Antonino Tumeo; Ganesh Gopalakrishnan; Ang Li 006 (ICS, 2022)

Bridging Python to Silicon: The SODA Toolchain. - Nicolas Bohm Agostini; Serena Curzel; Jeff Jun Zhang; Ankur Limaye; Cheng Tan 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Antonino Tumeo (IEEE Micro, 2022)

Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. - Mingsheng Yin; Akshaj Kumar Veldanda; Amee Trivedi; Jeff Zhang 001; Kai Pfeiffer; Yaqi Hu; Siddharth Garg; Elza Erkip; Ludovic Righetti; Sundeep Rangan (IEEE Open J. Commun. Soc., 2022)

End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Vito Giovanni Castellana; Marco Minutoli; Ankur Limaye; Joseph B. Manzano; Jeff Zhang 001; David Brooks 001; Gu-Yeon Wei; Fabrizio Ferrandi; Antonino Tumeo (IEEE Trans. Computers, 2022)

VecPAC: A Vectorizable and Precision-Aware CGRA. - Cheng Tan 002; Deepak Patil; Antonino Tumeo; Gabriel Weisz; Steven K. Reinhardt; Jeff Zhang 001 (ICCAD, 2023)

Path Planning Under Uncertainty to Localize mmWave Sources. - Kai Pfeiffer; Yuze Jia; Mingsheng Yin; Akshaj Kumar Veldanda; Yaqi Hu; Amee Trivedi; Jeff Zhang 001; Siddharth Garg; Elza Erkip; Sundeep Rangan; Ludovic Righetti (ICRA, 2023)

A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. - Thierry Tambe; Jeff Zhang 001; Coleman Hooper; Tianyu Jia; Paul N. Whatmough; Joseph Zuckerman; Maico Cassel dos Santos; Erik Jens Loscalzo; Davide Giri; Kenneth L. Shepard; Luca P. Carloni; Alexander M. Rush; et al. (ISSCC, 2023)

Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis. - Kiran Thorat; Jiahui Zhao; Yaotian Liu; Hongwu Peng; Xi Xie; Bin Lei; Jeff Zhang 001; Caiwen Ding (CoRR, 2023)

COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems. - Chengyu Sun; Huizhang Luo; Hong Jiang 001; Jeff Zhang 001; Kenli Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. - Zhenyu Wang; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Yaotian Liu; Jae-Sun Seo; Chaitali Chakrabarti; Ümit Y. Ogras; Vidya A. Chhabria; Jeff Zhang 001; Yu Cao 001 (ASPDAC, 2024)

zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM. - Dong Yin; Huizhang Luo; Jeff Zhang 001; Mingxing Duan; Wangdong Yang; Zhuo Tang; Kenli Li 001 (DAC, 2024)

SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. - Ziang Yin; Nicholas Gangi; Meng Zhang 023; Jeff Zhang 001; Z. Rena Huang; Jiaqi Gu 002 (ICCAD, 2024)

A 16nm Heterogeneous Accelerator for Energy-Efficient Sparse and Dense AI Computing. - Gopikrishnan Raveendran Nair; Fengyang Jiang; Jeff Zhang 001; Yu Cao 001 (ISLPED, 2024)

Fused Functional Units for Area-Efficient CGRAs. - Ron Jokai; Cheng Tan 002; Jeff Jun Zhang (ISQED, 2024)

14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration. - Maico Cassel dos Santos; Tianyu Jia; Joseph Zuckerman; Martin Cochet; Davide Giri; Erik Jens Loscalzo; Karthik Swaminathan; Thierry Tambe; Jeff Jun Zhang; Alper Buyuktosunoglu; Kuan-Lin Chiu; Giuseppe Di Guglielmo; et al. (ISSCC, 2024)

ICED: An Integrated CGRA Framework Enabling DVFS-Aware Acceleration. - Cheng Tan 002; Miaomiao Jiang; Deepak Patil; Yanghui Ou; Zhaoying Li; Lei Ju 001; Tulika Mitra; Hyunchul Park; Antonino Tumeo; Jeff Zhang 001 (MICRO, 2024)

Skip-SCAR: A Modular Approach to ObjectGoal Navigation with Sparsity and Adaptive Skips. - Yaotian Liu; Jeff Zhang 001 (CoRR, 2024)

Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network. - Ziang Yin; Yu Yao; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2024)

SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System. - Ziang Yin; Meng Zhang 023; Amir Begovic; Zhaoran Rena Huang; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2024)

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. - Zeyu Han; Chao Gao; Jinyang Liu; Jeff Zhang 001; Sai Qian Zhang (Trans. Mach. Learn. Res., 2024)

Intelligent Networking for Energy Harvesting Powered IoT Systems. - Wen Zhang; Chen Pan; Tao Liu 023; Jeff Jun Zhang; Mehdi Sookhak; Mimi Xie (ACM Trans. Sens. Networks, 2024)

PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs. - Jiajun Qin; Tianhua Xia; Cheng Tan 002; Jeff Zhang 001; Sai Qian Zhang (ASPLOS (2), 2025)

LiM Pruner: Efficient Pruning for Large Language-in-Memory Models. - Sri Sai Rakesh Nakkilla; Aniruddha Datta; Ashish Reddy Bommana; Jeff Zhang 001; Farshad Firouzi; Krishnendu Chakrabarty (COINS, 2025)

CLAIRE: Composable Chiplet Libraries for AI Inference. - Pragnya Sudershan Nalla; Emad Haque; Yaotian Liu; Sachin S. Sapatnekar; Jeff Zhang 001; Chaitali Chakrabarti; Yu Cao 001 (DATE, 2025)

FP-SMR: A Fully Digital Floating-Point Processing-in-SAS-MRAM for Session-based Recommender System. - Asmer Hamid Ali; Amitesh Sridharan; Cheng Guo; William Hwang; Wilman Tsai; Jeff Zhang 001; Yiran Chen 001; Shan X. Wang; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2025)

ML4SODA: A Decision Tree Guided Design Space Exploration for Fast and High Quality MLIR-based HLS. - Darshith Manjunath; Nicolas Bohm Agostini; Antonino Tumeo; Jeff Zhang 001; Chaitali Chakrabarti (ACM Great Lakes Symposium on VLSI, 2025)

HSMU-SpGEMM: Achieving High Shared Memory Utilization for Parallel Sparse General Matrix-Matrix Multiplication on Modern GPUs. - Min Wu; Huizhang Luo; Fenfang Li; Yiran Zhang; Zhuo Tang; Kenli Li 001; Jeff Zhang 001; Chubo Liu (HPCA, 2025)

Optimizing both performance and tail latency for B+tree on persistent memory. - Xianyu He; Chaoshu Yang; Runyu Zhang 002; Huizhang Luo; Zhichao Cao 002; Jeff Zhang 001 (J. Syst. Archit., 2025)

H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. - Ziang Yin; Aashish Poonia; Ashish Reddy Bommana; Xinyu Zhao; Zahra Hojati; Tianlong Chen 001; Krishnendu Chakrabarty; Farshad Firouzi; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2025)

HISIM: Analytical Performance Modeling and Design Space Exploration of 2.5D/3D Integration for AI Computing. - Zhenyu Wang; Pragnya Sudershan Nalla; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Jae-Sun Seo; Vidya A. Chhabria; Jeff Zhang 001; Chaitali Chakrabarti; Ümit Y. Ogras; Yu Cao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)