Postdoctoral Researcher

Zheng Chen 陈政

Department of Computer Science and Technology, Tsinghua University

I am currently a Postdoctoral Researcher at Tsinghua University, working with Professor Jidong Zhai. I received my Ph.D. degree in 2025 and B.S. degree in 2020 from the School of Information, Renmin University of China.

My research interests include high performance computing, big data management systems, graph analytics, graph compression, databases, and machine learning systems.

High Performance Computing Graph Analytics Databases Machine Learning Systems

News

Sep. 2026

Our paper "EcoxPU: Autonomous Multi-Agent Orchestration for Energy-Efficient Disaggregated LLM Inference on Heterogeneous xPUs" was accepted to IEEE Transactions on Parallel and Distributed Systems (TPDS).

Aug. 2025

I joined the Department of Computer Science and Technology at Tsinghua University as a Postdoctoral Researcher.

Jun. 2025

I received my Ph.D. degree from the School of Information, Renmin University of China.

2025

Our paper "CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression" was accepted to KDD 2025.

Selected Publications

arXiv 2026 Cordon: Semantic Transactions for Tool-Using LLM Agents

Zheng Chen, Hanqing Liu, Duling Xu, Dong Dong, Jialin Li, Bangzheng Pu, Jidong Zhai.

arXiv 2026 SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces

Duling Xu, Zheng Chen, Zaifeng Pan, Jiawei Guan, Dong Dong, Jialin Li, Bangzheng Pu.

KDD 2025 CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression

Zheng Chen, Feng Zhang, Yifei Xia, Wentao Zhang, Xiaowei Zhu, Wenguang Chen, Xiaoyong Du.

VLDB 2024 Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries

Zheng Chen, Feng Zhang, Yang Chen, Xiaokun Fang, Guanyu Feng, Xiaowei Zhu, Wenguang Chen, Xiaoyong Du.

SIGMOD 2023 CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression

Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du.

TPDS 2021 An Efficient Parallel Secure Machine Learning Framework on GPUs

Feng Zhang, Zheng Chen, Chenyang Zhang, Amelie Chi Zhou, Jidong Zhai, Xiaoyong Du. Best Paper Award.

ICPP 2020 ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs

Zheng Chen, Feng Zhang, Amelie Chi Zhou, Jidong Zhai, Chenyang Zhang, Xiaoyong Du.

Awards

2026

Gold Medal With the congratulations of the jury, International Exhibition of Inventions Geneva.

2025

Gold Medal With the congratulations of the jury, International Exhibition of Inventions Geneva.

2025

National Postdoctoral Program for Postdoctoral Researchers, Class C.

2025

Shuimu Scholar, Tsinghua University.

2025

Nomination, Doctoral Dissertation Incentive Program, CCF Technical Committee on System Software.

2022

Best Paper Award, IEEE Transactions on Parallel and Distributed Systems.

Academic Service

Journal Reviewer

IEEE Transactions on Parallel and Distributed Systems (TPDS).

Conference Reviewer

IEEE International Conference on Data Engineering (ICDE 2027).