Jiesong Liu 刘洁松

Undergraduate at Renmin University of China

Address: 427, Information Building, No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China.

Email: liujiesong@ruc.edu.cn

My name is Jiesong Liu. I am an undergraduate in School of Information, Renmin University of China. I joined the Key Laboratory of Data Engineering and Knowledge Engineer (MOE) in 2021 under the supervision of Feng Zhang. My research interests include Big Data Management, Database System, Algorithm Design & Analysis, heterogeneous computing and Machine Learning. My current research focuses on building high-performance, energy-efficient, and high-fidelity programming framework for the emerging machine learning and deep learning. CV

Education Background

Sep. 2019 ~ Now: B.S. in School of Information, Renmin University of China.
Jan. 2022 ~ Apr. 2022: Exchanged to Faculty of Science, University of British Columbia.

Publications

[ASPLOS’23]``Space Efficient TREC for Enabling Deep Learning on Microcontrollers”;
Jiesong Liu, Feng Zhang, Jiawei Guan, Hsing-Hsuan Sung, Xiaoyong Du, Xipeng Shen;
28th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023. [Paper]

[WWW’23 (submitted)] ``G-Learned Index: Enabling Efficient Learned index on GPU”;
Jiesong Liu, Feng Zhang, Lv Lu, Xiaoyong Du, Guoliang Li and Dong Deng.

[VLDB’23] ``Approximating Probabilistic Group Steiner Trees in Graphs”;
Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Ronghua Li, Zhewei Wei;
49th International Conference on Very Large Data Bases (VLDB), 2023. [Paper]

[TPDS’22] ``Exploring Query Processing on CPU-GPU Integrated Edge Device”;
Jiesong Liu, Feng Zhang, Hourun Li, Dalin Wang, Weitao Wan, Xiaokun Fang, Jidong Zhai, Xiaoyong Du;
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022. [Paper]

[NeurIPS’22] ``TREC: Transient Redundancy Elimination-based Convolution”;
Jiawei Guan, Feng Zhang, Jiesong Liu, Hsing-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen;
36th Conference on Neural Information Processing Systems (NeurIPS), 2022 [Paper]