Supervised Students
Current Ph.D. Students
Rahul Chowdhury
2021 – 2026 (expected)
Lei Lu
2022 – 2026 (expected)
Enfu Nan
2024 – 2029 (expected)
Changdi Yang
2021 – 2026 (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.