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Jeff Zhang
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 21
Top Topics
Millimeter Wave
Robotic Navigation
Error Resilience
Deep Learning
Top Venues
CoRR
ISSCC
ASPDAC
IEEE Open J. Commun. Soc.
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Publications
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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)