About Me
Hi! I am a fourth-year PhD candidate at Computer Science Department, Columbia University, supervised by Prof. Asaf Cidon.. My research interest is storage and ML systems. Before joining Columbia, I spent four wonderful years in the Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University, where I was advised by Prof. Haibo Chen. I was a research intern at Microsoft Research Asia, Alibaba, and Google.
Education
May. 2025 Ph.D. in Computer Science, Columbia University, USA.
Feb. 2023 M.S. in Computer Science, Columbia University, USA.
Mar. 2021 M.E. in Software Engineering, Shanghai Jiao Tong University, China.
Jun. 2018 B.E. in Software Engineering, Shanghai Jiao Tong University, China.
PhD Publications
RubbleDB: CPU-Efficient Replication with NVMe-oF [PDF]
Haoyu Li, Sheng Jiang, Chen Chen, Ashwini Raina, Xinyu Zhu, Changxu Luo, Asaf Cidon
USENIX ATC 2023 (18.4%)
XRP: In-Kernel Storage Functions with eBPF [PDF]
Yuhong Zhong, Haoyu Li, Yu Jian Wu, Ioannis Zarkadas, Jeffrey Tao, Evan Mesterhazy, Michael Makris, Junfeng Yang, Amy Tai, Ryan Stutsman, Asaf Cidon
USENIX OSDI 2022 (19.4%)
Jay Lepreau Best Paper Award
Roller: Fast and Efficient Tensor Compilation for Deep Learning [PDF]
Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko
USENIX OSDI 2022 (19.4%)
Selected Awards
2022, Jay Lepreau Best Paper Award, USENIX OSDI
2019, National Scholarship, Ministry of Education of China
2018, Best Paper Runner Up, ACM APSys
Services
Reviewer: CVPR, Elsevier JNCA, IEEE TCC, Elsevier JSA, Elsevier CEE, Elsevier JPDC, Elsevier JCS