Jeff Zhang

48 papers A* 8A 7B 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
AQR-HNSW: Accelerating Approximate Nearest Neighbor Search via Density-aware Quantization and Multi-stage Re-ranking.
CoRR
Ganap Ashit Tewary, Nrusinga Charan Gantayat, Jeff Zhang
2026 — conf
Chiplet-NAS: Chiplet-aware Neural Architecture Search for Efficient AI Inference on 2.5D Integration.
ASP-DAC
Cheng Guo, Pragnya Sudershan Nalla, Nikhil K. Cherukuri, Rui Xue, Sachin S. Sapatnekar, Chaitali Chakrabarti, Yu Cao, Jeff Zhang
2026 — conf
Neura: A Unified Framework for Hierarchical and Adaptive CGRAs.
ASPLOS (2)
Cheng Tan, Miaomiao Jiang, Yuqi Sun, Ruihong Yin, Yanghui Ou, Qing Zhong, Lei Ju, Jeff Zhang
2026 J jnl
Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration.
CoRR
Ziang Yin, Hongjian Zhou, Nicholas Gangi, Meng Zhang, Jeff Zhang, Zhaoran Rena Huang, Jiaqi Gu
2026 A conf
vFPGA: Towards Sub-µs Reconfiguration via 3D FPGA and Packaging Co-Design.
FPGA
Nikhil K. Cherukuri, Sharad Nag, Pragnya Sudershan Nalla, Ashish K. Kola, Chetan S. Gadireddi, Kevin Dai, Jae-sun Seo, Zhenman Fang, Jeff Zhang, Yu Cao
2025 A* conf
CHORD: Composable Hybrid Optical Reconfigurable Diffractive Framework For Optical Neural Network.
DAC
Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu
2025 A conf
CLAIRE: Composable Chiplet Libraries for AI Inference.
DATE
Pragnya Sudershan Nalla, Emad Haque, Yaotian Liu, Sachin S. Sapatnekar, Jeff Zhang, Chaitali Chakrabarti, Yu Cao
2025 — conf
FP-SMR: A Fully Digital Floating-Point Processing-in-SAS-MRAM for Session-based Recommender System.
ACM Great Lakes Symposium on VLSI
Asmer Hamid Ali, Amitesh Sridharan, Cheng Guo, William Hwang, Wilman Tsai, Jeff Zhang, Yiran Chen, Shan X. Wang, Deliang Fan
2025 J jnl
H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures.
CoRR
Ziang Yin, Aashish Poonia, Ashish Reddy Bommana, Xinyu Zhao, Zahra Hojati, Tianlong Chen, Krishnendu Chakrabarty, Farshad Firouzi, Jeff Zhang, Jiaqi Gu
2025 J jnl
HISIM: Analytical Performance Modeling and Design Space Exploration of 2.5D/3D Integration for AI Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhenyu Wang, Pragnya Sudershan Nalla, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-sun Seo, Vidya A. Chhabria, Jeff Zhang, Chaitali Chakrabarti, Ümit Y. Ogras, Yu Cao
2025 A* conf
HSMU-SpGEMM: Achieving High Shared Memory Utilization for Parallel Sparse General Matrix-Matrix Multiplication on Modern GPUs.
HPCA
Min Wu, Huizhang Luo, Fenfang Li, Yiran Zhang, Zhuo Tang, Kenli Li, Jeff Zhang, Chubo Liu
2025 A* conf
Invited: EDA for Heterogeneous Integration.
DAC
Emad Haque, Pragnya Sudershan Nalla, Chetal Choppali Sudarshan, Divya Yogi, Hangyu Zhang, Chaitali Chakrabarti, Vidya A. Chhabria, Ramesh Harjani, Jeff Zhang, Sachin S. Sapatnekar
2025 — conf
LiM Pruner: Efficient Pruning for Large Language-in-Memory Models.
COINS
Sri Sai Rakesh Nakkilla, Aniruddha Datta, Ashish Reddy Bommana, Jeff Zhang, Farshad Firouzi, Krishnendu Chakrabarty
2025 J jnl
MALTA: An Automated CGRA Design Framework.
CoRR
Zesong Jiang, Yuqi Sun, Qing Zhong, Mahathi Krishna, Deepak Patil, Cheng Tan, Sriram Krishnamoorthy, Jeff Zhang
2025 — conf
ML4SODA: A Decision Tree Guided Design Space Exploration for Fast and High Quality MLIR-based HLS.
ACM Great Lakes Symposium on VLSI
Darshith Manjunath, Nicolas Bohm Agostini, Antonino Tumeo, Jeff Zhang, Chaitali Chakrabarti
2025 J jnl
Optimizing both performance and tail latency for B+tree on persistent memory.
J. Syst. Archit.
Xianyu He, Chaoshu Yang, Runyu Zhang, Huizhang Luo, Zhichao Cao, Jeff Zhang
2025 — conf
PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs.
ASPLOS (2)
Jiajun Qin, Tianhua Xia, Cheng Tan, Jeff Zhang, Sai Qian Zhang
2025 A conf
Time-Period-Aware Embedding Regeneration for Session-Based Recommendation.
CIKM
Cheng Guo, Rui Xue, Jeff Zhang
2025 J jnl
Tiny Chiplets Enabled by Packaging Scaling: Opportunities in ESD Protection and Signal Integrity.
CoRR
Emad Haque, Pragnya Sudershan Nalla, Jeff Zhang, Sachin S. Sapatnekar, Chaitali Chakrabarti, Yu Cao
2024 A conf
A 16nm Heterogeneous Accelerator for Energy-Efficient Sparse and Dense AI Computing.
ISLPED
Gopikrishnan Raveendran Nair, Fengyang Jiang, Jeff Zhang, Yu Cao
2024 B conf
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing.
ASPDAC
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, Yu Cao
2024 A* conf
ICED: An Integrated CGRA Framework Enabling DVFS-Aware Acceleration.
MICRO
Cheng Tan, Miaomiao Jiang, Deepak Patil, Yanghui Ou, Zhaoying Li, Lei Ju, Tulika Mitra, Hyunchul Park, Antonino Tumeo, Jeff Zhang
2024 J jnl
Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network.
CoRR
Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu
2024 J jnl
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.
CoRR
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
2024 J jnl
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.
Trans. Mach. Learn. Res.
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
2024 A conf
SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution.
ICCAD
Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Z. Rena Huang, Jiaqi Gu
2024 J jnl
SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution.
CoRR
Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Zhaoran Rena Huang, Jiaqi Gu
2024 J jnl
SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System.
CoRR
Ziang Yin, Meng Zhang, Amir Begovic, Zhaoran Rena Huang, Jeff Zhang, Jiaqi Gu
2024 J jnl
Skip-SCAR: A Modular Approach to ObjectGoal Navigation with Sparsity and Adaptive Skips.
CoRR
Yaotian Liu, Jeff Zhang
2024 A* conf
zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM.
DAC
Dong Yin, Huizhang Luo, Jeff Zhang, Mingxing Duan, Wangdong Yang, Zhuo Tang, Kenli Li
2023 — conf
A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management.
ISSCC
Thierry Tambe, Jeff Zhang, 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, David Brooks, Gu-Yeon Wei
2023 J jnl
Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.
CoRR
Kiran Thorat, Jiahui Zhao, Yaotian Liu, Hongwu Peng, Xi Xie, Bin Lei, Jeff Zhang, Caiwen Ding
2023 J jnl
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems.
IEEE Trans. Parallel Distributed Syst.
Chengyu Sun, Huizhang Luo, Hong Jiang, Jeff Zhang, Kenli Li
2023 A* conf
Path Planning Under Uncertainty to Localize mmWave Sources.
ICRA
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
2023 J jnl
Path Planning Under Uncertainty to Localize mmWave Sources.
CoRR
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
2023 A conf
VecPAC: A Vectorizable and Precision-Aware CGRA.
ICCAD
Cheng Tan, Deepak Patil, Antonino Tumeo, Gabriel Weisz, Steven K. Reinhardt, Jeff Zhang
2022 J jnl
End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators.
IEEE Trans. Computers
Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
2022 A conf
M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems.
DATE
Wen Zhang, Jeff Zhang, Mimi Xie, Tao Liu, Wenlu Wang, Chen Pan
2022 J jnl
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification.
IEEE Open J. Commun. Soc.
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
2021 J jnl
Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification.
CoRR
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
2021 — conf
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays.
ASAP
Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
2021 A* conf
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.
MICRO
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
2020 J jnl
Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators.
IEEE Des. Test
Jeff Zhang, Zahra Ghodsi, Siddharth Garg, Kartheek Rangineni
2020 — conf
Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems.
HotCloud
Jeff Zhang, Sameh Elnikety, Shuayb Zarar, Atul Gupta, Siddharth Garg
2018 J jnl
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator.
CoRR
Jeff Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg
2018 J jnl
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design.
CoRR
Jeff Zhang, Siddharth Garg
2018 J jnl
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators.
CoRR
Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg
2018 A* conf
Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators.
DAC
Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg