Chejian Xu

CS Ph.D. Candidate ยท University of Illinois Urbana-Champaign

I am a fourth-year CS Ph.D. candidate at UIUC, advised by Prof. Bo Li. I received my B.S. in CS from Zhejiang University.

My research makes AI systems safe, scalable, and interpretable. I work on red-teaming that uncovers realistic agent failures, interpretability analysis of reasoning and hallucinations, and efficient post-training for reliable deployment.

Portrait of Chejian Xu

Selected Publications

Full publication list available on my Google Scholar.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems

Chejian Xu, Zhaorun Chen, Jingyang Zhang, Freddy Lecue, Avni Kothari, Sarah Tan, Wenbo Guo, Bo Li

Preprint 2026

From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models

Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro

ACL 2026 (Findings)

AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li

ICML 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models

Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Zhuowen Yuan, et al. (show all)

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, โ€ฆ, Chejian Xu, et al. (show all)

NeurIPS 2023 ยท Outstanding Paper

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

Chejian Xu*, Wenhao Ding*, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li

NeurIPS 2022

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Boxin Wang*, Chejian Xu*, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, et al. (show all)

NeurIPS 2021 (Oral)

Experience

Service