Graduate Students



Zihan Liu Zhengyi Li
ML System & Compiler Privacy Preserving Machine Learning
(M.S. 2019 & Ph.D. 2022) (Ph.D. 2020)

Ziwei He Yijia Diao
Efficient Transformer Architecture for LLM
(Ph.D. 2021) (Ph.D. 2022, Co-advised)


Weiming Hu Ziyu Huang
Low-bit LLM Dataflow Computing
(Ph.D. 2023) (Ph.D. 2023)


Haoyan Zhang
Low-bit LLM
(Ph.D. 2024)


Jiawei Huang Xing Ma
Dataflow Architecture ML System
(M.S. 2024) (M.S. 2024)


Renyang Guan Gonglin Xu
Dataflow Architecture ML System
(M.S. 2023) (M.S. 2023)


Jiale Xu
ML System
(M.S 2023)

Graduate Alumini

Yuxian Qiu Cong Guo
Deep Learning System Deep Learning Acceleration
(Ph.D. 2015, co-advised) (Ph.D. 2020 & M.S. 2017)
(Now @ NVIDIA) (Now @ Duke)


Yangjie Zhou Yue Guan
Computer ArchitectureModel Compression and System Codesign
(Ph.D. 2018) (Ph.D. 2020 & M.S. 2018)
(Now @ NUS) (Now @ UCSD)


Zhihui Zhang
Graph Processing
(Ph.D. 2019)


Zhaodong Li
360 Video
(M.S. 2019)



Runzhe Chen Guandong Lu
Accelerator ReliabilityReliability on HPC Systems
(M.S. 2020, co-advised)(M.S. 2020)
(Now @ Baidu) (Now @ Baidu)


Yakai Wang Shuwen Lu
Adversarial Defense ML System
(M.S. 2020)(M.S. 2022)
(Now @ Baidu) (Now @ ByteDance)


Changming Yu
ML System
(M.S. 2022)
(Now @ ByteDance)

Undergraduate Alumini

Jiaming Tang (Ph.D. @ MIT)
Wentao Ni (Ph.D. @ UCSD)
Mengtian Yang (Ph.D. @ UT Austin)
Zhanda Zhu (Ph.D. @ University of Toronto)
Ding Zhou
Yesheng Ma
Ruofan Liang (Ph.D. @ University of Toronto)
Mengyang Liu
Xinzhe Li
Yadong Luo