张宸 - 上海交通大学
Hiring
I am actively seeking talented and self-motivated students. There are 1 or 2 openings per year for future PhD candidates, 1 or 2 openings per year for master candidates, and multiple positions for interns. It’s always welcome to contact me via 
Biography
Chen Zhang is now a Tenure-Track Assistant Professor and Ph.D. advisor at the School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University. His research mainly focuses on ML/AI processors and accelerators, especially FPGA and GPU architectures.
He received his Ph.D. from Peking University in 2017, under the supervision of Prof. Jason Cong and Prof. Guangyu Sun. From 2015 to 2016, he conducted academic research as a visiting scholar at the University of California, Los Angeles (UCLA). Before joining SJTU (2017-2023), he worked at Microsoft Research (as a Senior Researcher) and later at Alibaba T-Head Semiconductor (as a chip architect), where he led the development of several high-impact AI processors and systems both in China and internationally.
He has published about 40 papers in top-tier conferences and journals, including ISCA, MICRO, FPGA, DAC, and IEEE TCAD, receiving 5 Best Paper Awards (FPGA’15, TCAD’19, MICRO’22, ISEDA’25, ISCA’25) and 2 Ten-year Retrospective Most Influential Paper Award (FPGA’15, ICCAD’16). His work has been cited over 5,600 times on Google Scholar, with a single paper cited more than 2,600 times. He has been honored as a member of the FPGA and Reconfigurable Computing Hall of Fame, named an AI 2000 Most Influential Scholar in the World, recognized as a Top 2% Most-Cited Researcher by Stanford and Elsevier, and received the WAIC YunFan Award, among other accolades. He is also a recipient of the Shanghai Overseas High-Level Talent Program and Shanghai Qiyuan Young Scientist Program.
News
- [2025 Nov.] 2x HPCA and 1x ASPLOS Paper get accepted!
- [2025 Oct.] 祝贺同学们荣获“挑战杯”中国青年科技创新“揭榜挂帅”擂台赛
特等奖!【Details】 - [2025 June] “H^2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference” (ISCA-2025) wins
Best Paper Award! - [2025 May.] “DATIS: DRAM Architecture and Technology Integrated Simulation” (ISEDA-2025) wins
Best Paper Award!【Details】 - [2025 Mar.] “Optimizing FPGA-based accelerator design for deep convolutional neural networks” is inducted into the Class of 2025 FPGA and Reconfigurable Computing
Hall of Fame！【UCLA News，SIC News，SJTU News，SJTU News】 - [2019 Jan.] “Caffeine: Toward uniformed representation and acceleration for deep convolutional neural networks” published on T-CAD 2018 has win
Donald O. Pederson Best Paper! 【UCLA News，PKU News】
Selected Publications（Full List）
- Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems, HPCA, 2026 (
Multi-GPU超节点架构) - H^2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference, ISCA, 2025 (
xPU-PIM架构联合设计优化,最佳论文奖) - Dual-side sparse tensor core, ISCA, 2021 (
GPU稀疏张量运算单元) - Caffeine: Toward uniformed representation and acceleration for deep convolutional neural networks, T-CAD, 2018 (
AI架构设计EDA方法,十年回顾最佳论文) - Optimizing FPGA-based accelerator design for deep convolutional neural networks, FPGA, 2015 (
CNN加速器设计建模,十年回顾最佳论文)
Awards
- [2025] ICCAD Ten-Year Retrospective Most Influential Paper Award 十年回顾最佳论文奖【UCLA News, SJTU News】
- [2025] ICCAD Best Reviewer Award 最佳审稿人奖
- [2025] ISCA Best Paper Award 最佳论文奖【PKU News】
- [2025] ISEDA Best Paper Award 最佳论文奖
- [2025] FPGA and Reconfigurable Computing Hall of Fame 名人堂/十年回顾最佳论文奖【SJTU News，UCLA News，TCFPGA Web】
- [2022] MICRO Top Picks Honorable Mention 年度最佳论文优胜奖
- [2019] Donald O. Pederson Best Paper 最佳论文奖【IEEE News，UCLA News，PKU News】
- [2015] FPGA Best Paper Nomination 最佳论文提名奖 【Web】
Honors
- [2025] 上海市“启源”青年学者
- [2025] CCF科技成果奖自然科学一等奖（排名第三）【CCF科技成果奖】
- [2025] AIoTsys Young Scientist Award 青年科学家奖
- [2025] 世界人工智能大会“云帆奖·璀璨明星”【Shanghai AI Lab News】
- [2024] Stanford Top-2% Most Cited Scholars (Computer Architecture and Hardware)【Web】
- [2021~2024] AI-2000 World’s Most Influential Scholars（Top 2） 全球最具影响力学者（第二名）【AI-2000 Web】
- [2022] ACM ChinaSys Rising Star 新星奖【Web】
- [2019] Microsoft Research SSA 微软研究院院长特别奖