Jiawei Guan

Jiawei Guan

Ph.D. Student @ RUC

About

Jiawei Guan is a Ph.D. Student at Key Laboratory of Data Engineering and Knowledge Engineering and School of Information, Renmin University of China. She’s currently working with Prof. Feng Zhang. Her research focuces on Database System and Theory, High Performance Computing (HPC), and Compression. Her publications are included in top DB (SIGMOD), Sys (ASPLOS), DM (WWW), and ML (NeurIPS) conferences.

Her contact information is listed below:

📮 Email: guanjw@ruc.edu.cn

💬 Wechat: w02141209

🏢 Office: 500, Information Building, No.59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China.

Research Interests

Invited Talks

  1. TREC: Transient Redundancy Elimination-based Convolution.
    NeurIPS, Virtual, 2022.11 [Video & Slides]
  2. Data Reuse in ML.
    NCSU, Virtual, 2022.11

Publications

2023

  1. [ASPLOS’2023] “Space-Efficient TREC for Enabling Deep Learning on Microcontrollers”, Jiesong Liu, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Xiaoyong Du, Xipeng Shen, ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 25, 2023. (CCF A) [PDF]
  2. [SIGMOD’2023] “CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression”, Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, et al., ACM Symposium on Principles of Database Systems (SIGMOD), 2023. (CCF A) [PDF]
  3. [TKDE’2022] “Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device”, Feng Zhang, Ruofan Wu, Jiawei Guan, Zhen Zheng, Xiaoguang Guo, Xiao Zhang, Xiaoyong Du, Xipeng Shen, IEEE Transactions on Knowledge and Data Engineering (TKDE), April 21, 2023. (CCF A) [PDF]

2022

  1. [NeurIPS’2022] “TREC: Transient Redundancy Elimination-based Convolution”, Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen, NeurIPS, 2022. (CCF A) [Acceptance Rate: 25.6% (2,672/10,411)] [PDF]
  2. [WWW’2022] “DREW: Efficient Winograd CNN Inference with Deep Reuse,” Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du and Xipeng Shen, The Web Conference (WWW), 2022. (CCF A) [Acceptance rate: 17.7% (323/1,822)] [PDF]