Zedong Liu

PhD Student

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

Email: captain.liu77@gmail.com

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%)

PDF Code

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving

Zedong Liu, Xinyang Ma, Dejun Luo, Hairui Zhao, Bing Lu, Wenjing Huang, Yida Gu, Xingchen Liu, Zheng Wei, Jinyang Liu, Dingwen Tao, Guangming Tan

SIGCOMM 2026

PDF Code

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)

PDF Project

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

PDF Project

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs

Jinwu Yang, Jiaan Wu, Zedong Liu, Xinyang Ma, Hairui Zhao, Yida Gu, Yuanhong Huang, Xingchen Liu, Wenjing Huang, Zheng Wei, ... , Guangming Tan, and Dingwen Tao

ISCA 2026

PDF Project

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

PDF Project

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

PDF Project

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%)