Yanyu Ren

Yanyu Ren

Ph.D. Student in Tsinghua University

About me

I am currently a third year Ph.D. student in the Department of Computer Science and Technology, Tsinghua University, NASP Lab, advised by Prof. Dan Li. I also receive academic training at Zhongguancun Laboratory, advised by Dr. Li Chen (Assistance Researcher) and Dr. Kaihui Gao (Assistant Researcher).

My research interests fall on Machine Learning System (MLSys) and AI for Network Operations (AIOps) . My recent focus centers on multi-agent system, including efficient agent post-training paradigms and their usage in networking scenarios.

Before I started my Ph.D., I received B.E. and B.Ec. at Tsinghua University in June 2023.

Education

  • Tsinghua University
    • Ph.D. student in Computer Science and Technology, starting from Aug 2023.
  • Tsinghua University
    • Bachelor of Engineering in Computer Science and Technology, Aug 2019 to Jun 2023.
    • Bachelor of Economics in Economic and Finance, Oct 2021 to Jun 2023.
  • Cornell University
    • Exchange Student, Electrical and Computer Engineering, Jan 2022 to May 2022.

Experience

  • Tsinghua University Student Supercomputing Team
    • Team member in THUSCC, win SC21 SCC champion, focusing on GPU computing tasks, Jun 2021 to May 2023.
  • University of California, Berkeley
    • Research Intern in RISELab, focusing on pipeline partition and dynamic scheduling, advised by Dr. Lianmin Zheng, Jun 2022 to Dec 2022.
  • Tsinghua University
  • Cornell University
  • Alibaba Cloud
    • Research Intern in HPC Team, July 2021 to May 2022.

Publications

Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li, Xizheng Wang, Zhiyuan Wu, Yukai Miao, Yu Bai.
[NeurIPS 2025]. The Thirty-Ninth Annual Conference on Neural Information Processing Systems, 2025.

Towards Automatic Network Diagram Comprehension
Yanyu Ren, Yukai Miao, Li Chen, Dan Li, Xizheng Wang, Yu Bai, Zhiyuan Wu, Fei Long.
[ICNP 2025]. The 33rd IEEE International Conference on Network Protocols, 2025.

Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University
Juncheng Cao, Kaiyuan Rong, Mingshu Zhai, Zeyu Song, Yanyu Ren, Yuxi Zhu, Wentao Han, Jidong Zhai.
[IEEE TPDS]. IEEE Transactions on Parallel and Distributed Systems, 2022.

Please refer to our pre-prints on my Google Scholar

Teaching

  • Head of Teaching Assistant, Software Engineering, Spring 2025.
  • Teaching Assistant, Software Engineering, Spring 2024 and Spring 2023.
  • Teaching Assistant, Writing and Communication, Spring 2024.

Services