Supervised Students

Current Ph.D. Students

Arash Akbari

2024 –2029 (expected)

Arman Akbari

2024 –2029 (expected, co-advised with Prof. Silvia Zhang)

Yixiao Chen

2026 –2030 (expected)

Rahul Chowdhury

2021 –2026 (expected)

Juyi Lin

2024 –2029 (expected)

Lei Lu

2022 –2026 (expected)

Enfu Nan

2024 –2029 (expected)

Omid Poordashtban

2024 –2029 (expected, co-advised with Prof. Hossein Mosallaei)

Amir Taherin

2022 –2026 (expected, co-advised with Prof. David Kaeli)

Yushu Wu

2020 –2026 (expected)

Changdi Yang

2021 –2026 (expected)

Xiaomeng Yang

2024 –2029 (expected, co-advised with Prof. Silvia Zhang)

Lin Zhao

2024 –2029 (expected)

Research Assistant Professor

Dr. Pu Zhao

Formally start from Fall 2021

Research Scientist

Haochen Zeng

From 2025; M.S. from University of Washington

Research Manager

Yifan Cao

From 2026; M.S. from University of Texas Dallas

Ph.D. and Postdoc Alumni

Caiwen Ding (Graduation Year: 2019) Current Employment: Associate Professor in Dept. of CSE, University of Minnesota
Ao Ren (Graduation Year: 2020) Current Employment: Full Professor in School of CS, Chongqing University
Xiaolong Ma (Graduation Year: 2022) Assistant Professor in Dept. of ECE, University of Arizona
Ruizhe Cai (Graduation Year: 2020) Current Employment: Facebook Inc.
Ning Liu (Graduation Year: 2021) Current Employment: Beijing Humanoid Research Center (founding researcher)
Sheng Lin (Graduation Year: 2021) Current Employment: Research Scientist, Tencent U.S.
Hongjia Li (Graduation Year: 2021) Current Employment: Research Scientist, Amazon
Geng Yuan (Graduation Year: 2023) Current Employment: Assistant Professor in Dept. of CSE, University of Georgia
Qing Jin (Graduation Year: 2023) Current Employment: Research Scientist, Snap Inc.
Zhenglun Kong (Graduation Year: 2024) Current Employment: Postdoc Researcher, Harvard University
Zhengang Li (Graduation Year: 2024) Current Employment: Research Scientist, Adobe Research
Peiyan Dong (Graduation Year: 2024) Current Employment: Postdoc Researcher, MIT
Malith Jayaweera (Graduation Year: 2024) Current Employment: Amazon Research
Yifan Gong (Graduation Year: 2024) Current Employment: Adobe Research (incoming Assistant Professor of University of Massachusetts Amherst)
Xuan Shen (Graduation Year: 2025) Current Employment: Associate Professor, Zhejiang University in China
Zheng Zhang (Graduation Year: 2024) Current Employment: Microsoft Research
Sung-en Chang (Graduation Year: 2024) Current Employment: Research Scientist, Bose Inc.
Yanyue Xie (Graduation Year: 2025) Current Employment: Research Scientist, Bytedance Seeds
Jun Liu (Graduation Year: 2025) Current Employment: Research Scientist, CMU
Timothy Rupprecht (Graduation Year: 2025) Current Employment (part time): Research Scientist, EmbodyX Inc.
Chao Wu (Postdoc researcher 2022 –2023) Current Employment: Associate Professor, University of Science and Technology in China
Masoud Zabihi (Postdoc researcher 2022 –2023) Current Employment: IBM Research
Cheng Lyu (Postdoc researcher 2023 –2025)
Fangzheng Sun (Primary Advisor: Prof. Hao Sun and Prof. Ryan Wang) (Graduation Year: 2021) Current Employment: Research Scientist, Amazon
Chen Pan (Visiting student/postdoc) Current Employment: Assistant Professor in Dept. of CSE, University of Texas San Antonio
Tianyun Zhang (Primary Advisor: Prof. Makan Fardad) (Graduation Year: 2021) Current Employment: Assistant Professor in Dept. of ECE, Cleveland State University
Mengshu Sun (Primary Advisor: Prof. Xue Lin) (Graduation Year: 2022) Current Employment: Associate Professor in Dept. of ECE, Beijing University of Science and Technology
Cihan Ruan (Visiting student/postdoc) Current Employment: Incoming Associate Professor in Dept. of Mathematics, Nankai University
Zhe Li (Primary Advisor: Prof. Qinru Qiu) (Graduation Year: 2018) Current Employment: Staff Researcher, Google DeepMind

Visiting Scholar and Students

Prof. Olivia Chen (2019, 2022, Associate Professor, Yokohama National University, Japan)
Hao Tang, currently Assistant Professor at Peking University
Yuxi Hong (2022, Ph.D. student at KAUST, Saudi Arabia, currently Assistant Professor at Indiana University)
Wei Niu (2019, Ph.D. student at College of William and Mary, currently Assistant Professor in Dept. of CSE, University of Georgia)
Runbin Shi (2019, Ph.D. student at University of Hong Kong, currently at AMD Research)

M.S. Alumni (selected)

Shaokai Ye (graduation 2018, researcher at Apple)
Shuo Wang (graduation 2015, currently founder and CEO of Leap.IO)

Teaching

Received Martin Essigmann Outstanding Teaching Award

At Northeastern University

EECE 7398: Deep Learning Embedded Systems –Spring 2026
EECE 2140: Computing Fundamentals for Engineering –Fall 2025
EECE 3324: Computer Architecture & Organization –Fall 2024
Data Science 5220: Supervised Machine Learning –Spring 2024 (68 graduate students)
EECE 7398: Advances in Deep Learning –Fall 2023 (4.1/5.0, 50 graduate students)
Data Science 5220: Supervised Machine Learning –Spring 2023 (4.2/5.0, 70 graduate students)
EECE 7398: Advances in Deep Learning –Fall 2022 (4.9/5.0, 45 graduate students)
Data Science 5220: Supervised Machine Learning –Spring 2022 (4.3/5.0, 70 graduate students)
EECE 7398: Advances in Deep Learning –Fall 2021 (4.7/5.0, 45 graduate students)
EECE 3324: Computer Architecture and Organization –Summer I 2021 (4.9/5.0, 18 undergraduate students)
EECE 7398: Advances in Deep Learning –Spring 2021 (4.5/5.0, 53 graduate students)
EECE 4524: VLSI Design –Spring 2020 (4.0/5.0, 5 undergraduate students)
EECE 7398: Deep Learning Embedded Systems –Spring 2020 (4.8/5.0, 46 graduate students)
EECE 7398: Advances in Deep Learning –Spring 2019 (4.6/5.0, 43 graduate students)
EECE 7398: Advances in Deep Learning –Fall 2018 (4.7/5.0, 45 graduate students)

At Syracuse University

CSE/CIS 700: Advances in Deep Learning –Spring 2018 (4.7/5.0, 50 graduate students)
CSE 381: Computer Architecture –Fall 2017 (4.1/5.0, 28 undergraduate students)
ELE/CSE 664: VLSI Design Methods –Fall 2017 (4.4/5.0, 29 graduate students)
ELE/CSE 664: VLSI Design Methods –Fall 2016 (4.86/5.0, 27 graduate students)
CSE/CSE 655/611: Advanced Computer Architecture –Spring 2016 (4.27/5.0, 44 graduate students)
ELE/CSE 664: VLSI Design Methods –Fall 2015 (4.67/5.0, 16 graduate and undergraduate students)

At University of Southern California (as postdoc and lecturer)

EE 680: Computer Aided Design I –Spring 2015 (4.8/5.0, 33 graduate students)
EE 577A: Advanced VLSI Designs –Fall 2014 (4.73/5.0, 105 graduate students)

Professional Service

Associate Editor / Editorial Board

Elsevier Journal of VLSI Integration: 2017 –present
IEEE Trans. on Neural Networks and Learning Systems (TNNLS): next term
IEEE Trans. on Computers, special session on "Emerging Technologies and Trends in Machine Learning", 2020
IEEE Trans. on Circuits and Systems II, 2020, 2022
CCF Trans. on High Performance Computing –Special Issue on Disruptive Computing Techniques, 2020
ACM SIGDA Newsletter, 2017 –present

Conference Leadership

General Chair or TPC Chair

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery, in KDD 2023
The First Workshop on DL-Hardware Co-Design for AI Acceleration, in AAAI 2023
SpicyFL Workshop on Scalability, Privacy, and Security in Federated Learning, in NeurIPS 2020
Road4NN Workshop in DAC 2020, 2021, 2022, 2023
HALO Workshop in ICCAD 2019, 2021, 2022
Boston Area Computer Architecture Workshop 2020

Area Chair

AAAI Conference on Artificial Intelligence (AAAI): 2022
ACM Great Lakes Symposium on VLSI (GLS-VLSI): 2022, 2023
MLSys 2023 WS on Resource-Constrained Learning in Wireless Networks, 2023

Publication Chair

IEEE International Symposium on VLSI (ISVLSI) 2019
IEEE NanoArch 2019, 2022

Committee Member

IEEE Technical Committee on Secure and Dependable Measurement

Technical Program Committee (TPC) Member

IEEE/ACM Design Automation Conference (DAC): 2016, 2019 –2021, 2023
IEEE/ACM International Conference on Computer Aided Design (ICCAD): 2016, 2018 –2020
Design Automation and Test Conference in Europe (DATE): 2016 –2019
IEEE International Conference on Computer Communications (INFOCOM): 2018, 2019
AAAI Conference on Artificial Intelligence (AAAI): 2019 –2021
International Conference on Learning Representation (ICLR): 2019, 2021, 2023
International Joint Conference on Artificial Intelligence (IJCAI): 2019, 2020
IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2020, 2021, 2022
International Conference on Machine Learning (ICML): 2021
International Conference on Computer Vision (ICCV): 2021
Neural Information Processing Systems (NeurIPS): 2020, 2021
IEEE/ACM Symposium on Architectural Support of Program Languages and Operating Systems (ASPLOS) (ERC): 2018, 2019
IEEE/ACM Symposium on High-Performance Computing Architecture (HPCA), 2022, 2023
IEEE/ACM Symposium on Microarchitecture (MICRO): 2024
IEEE/ACM Symposium on Microarchitecture (MICRO) (SRC): 2019
International Symposium on Machine Learning Systems (MLSys): 2022, 2023
NSF Workshop on Sustainable Computing, 2022
IEEE Winter Conference on Applications of Computer Vision (WACV): 2021
IEEE International Conference on Computer Design (ICCD): 2016 –2019
Asia and South Pacific Design Automation Conference (ASP-DAC): 2017 –2019, 2021
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS): 2016 – 2018
International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES): 2016
ACM Great Lakes Symposium on VLSI (GLS-VLSI): 2015 –2021
International Symposium on Quality Electronic Design (ISQED): 2017 –2020
IEEE International Symposium on VLSI (ISVLSI): 2016 –2018
ACM/IEEE International Conference on System-level Interconnect Problems (SLIP): 2015 –2018
IEEE Global Conference on Signal and Information Processing (GlobalSIP): 2019
IEEE Biomedical Circuits and Systems Conference (BioCAS): 2019
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD): 2020
IEEE Greentech Conference: 2015
IEEE Consumer Communications and Networking Conference (CCNC): 2015
IEEE System-on-Chip Conference (SoCC): 2016
IEEE Midwest Symposium on Circuits and Systems (MWSCAS): 2017

Grant Review

NSF Panelist (2017, 2018, 2019, 2020, 2021, 2022, 2023)
Proposal review for Army Research Office, Department of Energy, NSERC Canada, RGC Hong Kong.