Jeff Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Millimeter Wave

Robotic Navigation

Error Resilience

Top Venues

IEEE Open J. Commun. Soc.

Publications

Yaotian Liu, Jeff Zhang
Skip-SCAR: A Modular Approach to ObjectGoal Navigation with Sparsity and Adaptive Skips. CoRR (2024)
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. CoRR (2024)
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
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. ASPDAC (2024)
Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Zhaoran Rena Huang, Jiaqi Gu
SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. CoRR (2024)
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
Path Planning Under Uncertainty to Localize mmWave Sources. CoRR (2023)
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
Path Planning Under Uncertainty to Localize mmWave Sources. ICRA (2023)
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
A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC (2023)
Cheng Tan, Deepak Patil, Antonino Tumeo, Gabriel Weisz, Steven K. Reinhardt, Jeff Zhang
VecPAC: A Vectorizable and Precision-Aware CGRA. ICCAD (2023)
Chengyu Sun, Huizhang Luo, Hong Jiang, Jeff Zhang, Kenli Li
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Wen Zhang, Jeff Zhang, Mimi Xie, Tao Liu, Wenlu Wang, Chen Pan
M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems. DATE (2022)
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
End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers 71 (12) (2022)
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. IEEE Open J. Commun. Soc. 3 (2022)
Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP (2021)
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. MICRO (2021)
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification. CoRR (2021)
Jeff Zhang, Sameh Elnikety, Shuayb Zarar, Atul Gupta, Siddharth Garg
Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems. HotCloud (2020)
Jeff Zhang, Zahra Ghodsi, Siddharth Garg, Kartheek Rangineni
Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators. IEEE Des. Test 37 (2) (2020)
Jeff Zhang, Siddharth Garg
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design. CoRR (2018)
Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg
Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. DAC (2018)
Jeff Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator. CoRR (2018)
Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators. CoRR (2018)