🙋 I am Yijin Zhou (周艺晋), currently a second-year Ph.D. student at Shanghai Jiao Tong University and Shanghai Innovation Institute, supervised by Professor Junchi Yan and Research Scientist Jing Shao. I received my bachelor’s degree from Zhiyuan College, Shanghai Jiao Tong University, in 2024.
🔍 My research interests lie in AI agents, post-training, and trustworthiness. Outside of research, I enjoy 🏸badminton and 🏋️fitness.
💻 I am currently seeking industrial research/engineering internships related to agentic post-training. Always open to ☕️coffee chats, 💬scientific discussions, and 🤝potential collaborations—feel free to drop me an email!
🔥 News
- 2026.08: 🎉🎉 Two papers are accepted by EMNLP 2026🇸🇪!
- 2026.06: 🎉🎉 One paper is accepted by ECCV 2026🇸🇪!
- 2026.05: 🎉🎉 One paper is accepted by ICML 2026🇰🇷!
- 2026.04: 🎉🎉 One paper is accepted by RSS 2026🇦🇺!
- 2026.03: 🎉🎉 One paper is accepted by CVPR 2026 Findings🏸!
- 2026.03: 🎉🎉 One paper is accepted by CVPR 2026!
- 2025.11: 🎉🎉 One paper is accepted by AAAI 2026!
- 2025.09: 🎉🎉 Start my journey at Shanghao Innovation Institute!
- 2025.07: 🎉🎉 Start a period of algorithm internship at Shanghai AI Lab!
- 2024.12: 🎉🎉 One paper is accepted by Medical Image Analysis (IF 10.9)!
- 2024.07: 🎉🎉 Start a period of algorithm internship at Alibaba!
- 2024.06: 🎉🎉 Graduated and won Outstanding Undergraduate Thesis (Top 1%) and Outstanding Students of SJTU!
- 2024.02: 🎉🎉 One paper is accepted by ICML 2024 FM-Wild Workshop!
- 2023.10: 🎉🎉 One paper is accepted by Medical Image Analysis (IF 10.9)!
📝 Publications
(M)LLM Post-Training
EMNLP 2026Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement Learning, Yijin Zhou, Linqian Zeng, Xiaoya Lu, Wenyuan Xie, Dongrui Liu, Junchi Yan, Jing Shao. GithubICML 2026How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability, Yijin Zhou, Yutang Ge, Wenyuan Xie, Linqian Zeng, Xiaowen Dong, Yuguang Wang. GithubECCV 2026HomeGuard: VLM-based Embodied Safeguard for Identifying Contextual Risk in Household Task, Xiaoya Lu*, Yijin Zhou*, Zeren Chen, Ruocheng Wang, Bingrui Sima, Enshen Zhou, Lu Sheng, Dongrui Liu, Jing Shao. GithubICML 2024 WorkshopGROD: Enhancing Generalization of Transformer with Out-of-Distribution Detection, Yijin Zhou, Yuguang Wang.
(M)LLM Agent
ArxivMAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems, Wenjun Xiong*, Yijin Zhou*, Jiaqian Wang, Shangding Gu, Bo Tang, Zhiyu Li, Feiyu Xiong, Ying Wen, Muning Wen. GithubEMNLP 2026INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems, Yijin Zhou*, Xiaoya Lu*, Dongrui Liu, Junchi Yan, Jing Shao. GithubCVPR 2026Geometrically-Constrained Agent for Spatial Reasoning, Zeren Chen*, Xiaoya Lu*, Zhijie Zheng, Pengrui Li, Lehan He, Yijin Zhou, Jing Shao, Bohan Zhuang, Lu Sheng. Github PageAAAI 2026IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks, Xiaoya Lu*, Zeren Chen*, Xuhao Hu*, Yijin Zhou, Weichen Zhang, Dongrui Liu, Lu Sheng, Jing Shao. Github Dataset
Others
CVPR 2026 FindingsJano: Adaptive Diffusion Generation with Early-stage Convergence Awareness, Yuyang Chen*, Linqian Zeng*, Yijin Zhou, Hengjie Li, Jidong Zhai. GithubArxivDeepSight: An All-in-One LM Safety Toolkit, Bo Zhang, Jiaxuan Guo, Lijun Li, Dongrui Liu, Sujin Chen, Guanxu Chen, Zhijie Zheng, Qihao Lin, Lewen Yan, Chen Qian, Yijin Zhou, Yuyao Wu, Shaoxiong Guo, Tianyi Du, Jingyi Yang, Xuhao Hu, Ziqi Miao, Xiaoya Lu, Jing Shao, Xia Hu. DeepSafe DeepScanArxivFrontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1. 5, Dongrui Liu, Yi Yu, Jie Zhang, Guanxu Chen, Qihao Lin, Hanxi Zhu, Lige Huang, Yijin Zhou, Peng Wang, Shuai Shao, Boxuan Zhang, Zicheng Liu, Jingwei Sun, Yu Li, Yuejin Xie, Jiaxuan Guo, Jia Xu, Chaochao Lu, Bowen Zhou, Xia Hu, Jing Shao.Chapter in Book "Deep Learning in Drug Design"Generative models for drug design, Yijin Zhou, Yuguang Wang.Medical Image AnalysisLearnable color space conversion and fusion for stain normalization in pathology images, Jing Ke, Yijin Zhou(学生一作), Yiqing Shen, Yi Guo, Ning Liu, Xiaodan Han, Dinggang Shen. GithubMedical Image AnalysisClusterseg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets, Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen. Github
🎖 Honors and Awards
- Excellent Bachelor’s Thesis (Top 1%), Shanghai Jiao Tong University
- “Chun-Tsung Scholar” Honorary Title, conferred by Nobel Laureate Tsung-Dao Lee
- Outstanding Graduate, Shanghai Jiao Tong University
- Meritorious Student, Shanghai Jiao Tong University
- Zhiyuan Honor Scholarship (3 times)
- Undergraduate Excellence Scholarship (3 times)
📖 Educations
- 2025.09 - Now, Phd Student, Shanghai Innovation Institute, Shanghai.
- 2024.09 - Now, Phd Student, Shanghai Jiao Tong University, Shanghai.
- 2020.09 - 2024.06, Undergraduate, Shanghai Jiao Tong University, Shanghai.
💻 Internships
- 2025.07 - 2026.07, AI Algorithm Intern, Shanghai Artificial Intelligence Laboratory
- 2024.06 - 2024.08, AI Algorithm Intern, Alibaba Cloud Computing Co., Ltd.