I am a Ph.D. student at the Computer Systems Laboratory, Cornell University, supervised by Prof. Zhiru Zhang. I received my B.E. degree from the School of Computer Science and Engineering, Sun Yat-sen University in 2021.
My research interests broadly lie in domain-specific languages and compilers, efficient runtime systems, and accelerator architecture. In particular, I attempt to bridge the productivity and performance gap between emerging machine learning applications and heterogeneous hardware (CPU/GPU/FPGA).
Currently, I am working on compiler optimizations for (1) large-scale model training in distributed environments and (2) scalable hardware accelerator design for inference workload. Feel free to drop me an email if you have aligned interests.
Education
Cornell University, US Ph.D. in Computer Science Accumulated GPA: 4.0/4.0 |
Aug. 2021 - Present | ![]() |
Sun Yat-sen University, China B.E. in Computer Science |
Aug. 2017 - Jun. 2021 | ![]() |
Thesis: High-Performance Concurrent Graph Processing System (Outstanding Undergraduate Thesis) Overall GPA: 3.95/4.00 (Major GPA: 3.99/4.00) Ranking: 1/188 |
Work Experience
Amazon Web Services (AWS) ![]() Applied Scientist Intern, Deep Engine-Science Team Mentors: Cody Hao Yu, Shuai Zheng, and Yida Wang |
Aug. 2022 - Apr. 2023 |
ByteDance AI Lab ![]() Research Intern, MLSys Team, Applied Machine Learning (AML) Mentors: Jun He and Yibo Zhu |
Aug. 2020 - May 2021 |
Publications
Decoupled Model Schedule for Deep Learning Training
Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
arXiv:2302.08005, 2023
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
NSDI, 2023
Accelerator Design with Decoupled Hardware Customizations: Benefits and Challenges
Debjit Pal, Yi-Hsiang Lai, Shaojie Xiang, Niansong Zhang, Hongzheng Chen, Jeremy Casas, Pasquale Cocchini, Zhenkun Yang, Jin Yang, Louis-Noël Pouchet, Zhiru Zhang
DAC, 2022 (Invited Paper)
HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs
Shaojie Xiang, Yi-Hsiang Lai, Yuan Zhou, Hongzheng Chen, Niansong Zhang, Debjit Pal, Zhiru Zhang
FPGA, 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang
arXiv:2203.02549, 2022
Krill: A Compiler and Runtime System for Concurrent Graph Processing
Hongzheng Chen, Minghua Shen, Nong Xiao, Yutong Lu
SC, 2021
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FPGA, 2021 (Best Paper Nominee)
Entropy-Directed Scheduling for FPGA High-Level Synthesis
Minghua Shen, Hongzheng Chen (Corresponding author), Nong Xiao
IEEE Transactions on CAD, 2020
A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS
Hongzheng Chen, Minghua Shen
ICCAD, 2019
Teaching
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CS3110: Data Structures and Functional Programming
Spring 2022, TA, Cornell Universiy -
CS3410: Computer System Organization and Programming
Fall 2021, TA, Cornell Universiy
Professional Service
- Artifact Evaluation Committee: SOSP’23, OSDI’23, ATC’23, MLSys’23, PLDI’23, OSDI’22, ATC’22, PLDI’22, EuroSys’22, SOSP’21
- External Reviewer: ICCAD’22
- Student Volunteer: FCCM’22
Awards & Honors
- USENIX NSDI’23 Student Grant, USENIX, 2023
- FPGA’21 Best Paper Nominee, FPGA, 2021
- Outstanding Undergraduate Thesis Award, Sun Yat-sen University, 2021
- SenseTime Scholarship (21 undergrads in China), SenseTime, 2020
- CCF Elite Collegiate Award (98 undergrads in China), China Computer Federation (CCF), 2020
- Chinese National Scholarship $\times$ 2 (Top 1%), Ministry of Education of PRC, 2018-2020
- First-Prize Scholarship $\times$ 3 (Top 5%), Sun Yat-sen University, 2017-2020
- Samsung Scholarship (Top 1%), Samsung Electronics, 2017-2018
Talks
- Decoupled Model Schedule for Large Deep Learning Model Training
- SRC TECHCON, Austin, TX, Sep 12, 2023
- Spring ACE Center Meeting, Orlando, FL, June 22, 2023
- CSL Retreat, Ithaca, NY, May 12, 2023
- Pre-NSDI Systems Gathering @ BU, Boston, MA, Apr 16, 2023
- TVMCon, Online, Mar 17, 2023
- An MLIR-Based Intermediate Representation for Accelerator Design with Decoupled Hardware Customizations
- CRISP Liaison Meeting, Online, Sep 28, 2022
- MLIR Open Design Meeting, Online, Aug 11, 2022
- Krill: A Compiler and Runtime System for Concurrent Graph Processing
- SC'21, St. Louis, MO, Nov 17, 2021
- A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS
- ICCAD'19, Denver, CO, Nov 5, 2019