Sirui Chen
Sirui Chen
PhD Student
University of Illinois
Urbana-Champaign

Hi, I'm Sirui Chen! I am a PhD student at the University of Illinois at Urbana-Champaign, advised by Prof. Jingrui He. I completed my Master's degree in Computer Science from Renmin University of China, advised by Prof. Jun Xu. Prior to that, I obtained my Bachelor's degree from the Department of Foreign Languages and Literatures at Tsinghua University.

My long-term goal is to develop reliable and controllable AI systems fully aligned with human intentions. My research spans two interconnected themes:

  • Data-Centric Machine Learning: data selection, synthetic data generation;
  • Reinforcement Learning: agent collaboration, agent evolution with exploration, model interaction in complex environments;

Ultimately, I aspire to build systems that self-evolve, autonomously improving from data curation to model training to evaluation, closing the loop on the fly.

I'm always happy to discuss research or explore collaborations — feel free to reach out!

Data-Centric ML Reinforcement Learning Large Language Models

News

Excited to join Amazon as a Research Scientist Intern this summer!
One paper accepted by ICLR 2026!
AutoTool won Best Paper Award at MMRAgI Workshop @ ICCV 2025!
Officially started my Ph.D journey at UIUC!
One paper selected as a Best Short Paper Nominee at SIGIR 2024. Thanks to SIGIR!
One paper accepted by RecSys 2024!
Three papers accepted by SIGIR 2024!
One paper accepted by AAAI 2024!
One paper accepted by KDD 2023!

Selected Publications

* denotes equal contribution. Selected from first/co-first author and award-winning papers.

ICLR 2026 paper thumbnail

Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-Tuning

Sirui Chen*, Yunzhe Qi*, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He

ICLR '26
ICCV 2025 paper thumbnail

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning

Jiaru Zou*, Ling Yang*, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang

MMRAgI @ ICCV '25
PDF
🏆 Best Paper Award
SIGIR 2024 paper thumbnail

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy

Changshuo Zhang*, Sirui Chen*, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu

SIGIR '24
SIGIR 2024 Short paper thumbnail

ReCODE: Modeling Repeat Consumption with Neural ODE

Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu

SIGIR '24
🏆 Best Short Paper Nominees (7/87)
AAAI 2024 paper thumbnail

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning

Sirui Chen*, Zhaowei Zhang*, Yaodong Yang, Yali Du

AAAI '24
SIGIR-AP 2023 paper thumbnail

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels

Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu

SIGIR-AP '23
PDF
KDD 2023 paper thumbnail

Controllable Multi-Objective Re-ranking with Policy Hypernetworks

Sirui Chen*, Yuan Wang*, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu

KDD '23
WWW 2023 paper thumbnail

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong

WWW '23
🏆 Spotlight Best Paper Nominees (16/365)

Services

Conference Reviewer

2026  ICML, ACL

2025  CVPR, ICLR, AAAI

2024  WWW, DAI, IEEE DSAA

Journal Reviewer

TNNLS, TKDD, TIST