Zedong Liu

Machine Learning Systems & Data Compression

Zedong Liu

Zedong Liu

PhD Student
Institute of Computing Technology (ICT),
Chinese Academy of Sciences (CAS)

About

I am a senior undergraduate student at the University of Electronic Science and Technology of China (UESTC). I will soon begin my Ph.D. studies at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS), advised by Prof. Dingwen Tao and Prof. Guangming Tan.

My research interests primarily lie in Machine Learning Systems and Data Compression, with a particular focus on efficient large-scale distributed inference and compression for massive scientific data. Recently, I have also become interested in the co-optimization of data compression techniques and large model inference systems.

Please feel free to contact me if you’re interested in relevant research topics or would like to discuss potential collaborations!

Publications

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao
NeurIPS 2025 (Oral, 0.3%)
SolarZip: An Efficient and Adaptive Compression Framework for Solar EUV Imaging Data
Zedong Liu*, Song Tan*, Alexander Warmuth, Frédéric Schuller, Yun Hong, Wenjing Huang, Yida Gu, Bojing Zhu, Guangming Tan, Dingwen Tao
Astronomy & Astrophysics (A&A)
PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation
Bing Lu*, Zedong Liu*, Hairui Zhao, Dejun Luo, Wenjing Huang, Yida Gu, Jinyang Liu, Guangming Tan, Dingwen Tao
PPoPP 2026 Best Paper Nominee
MANS: Efficient and Portable ANS Encoding for Multi-Byte Integer Data on CPUs and GPUs
Wenjing Huang, Jinwu Yang, Shengquan Yin, Haoxu Li, Yida Gu, Zedong Liu, Xing Jing, Zheng Wei, Shiyuan Fu, Hao Hu, Guangming Tan, Dingwen Tao
SC 2025
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training
Yida Gu, Fakang Wang, Jianhao Fu, Zhenhang Sun, Qianyu Zhang, Hairui Zhao, Xingchen Liu, Yang Tian, Wenjing Huang, Zedong Liu, Yifan Chen, ... , Guangming Tan, Dingwen Tao
PPoPP 2026

Honors & Awards

  • 2025 Outstanding Graduate, Sichuan Province (Top 3%)
  • 2025 Outstanding Graduate, UESTC (Top 7%)
  • 2025 UESTC-YanBao Scholarship (Top 3%)
  • 2024 National Endeavor Scholarship
  • 2024 UESTC First-class Scholarship in 2023,2024,2025
  • 2024 National Second Prize | 17th Chinese Collegiate Computing Competition (Top 2%)