CV

Education

• M.S. in Tsinghua University (Shenzhen International Graduate School), Shenzhen, China (Sep. 2026 - ), advised by Prof. Yujiu Yang
• B.E. in Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China (Sep. 2022 - Jun. 2026), GPA: 4.51/5.00, Rank: 1/30 (Advanced Class)

Internships

• Shanghai AI Lab, Shanghai, China (Dec. 2025 - Present)
  • Working with Dongrui Liu
  • Research Direction: LLM & Agent Safety
• The Chinese University of Hong Kong, Shenzhen, Shenzhen, China (Jul. 2024 - Feb. 2025)
  • Working with Youliang Yuan, Dr. Wenxuan Wang and Prof. Pinjia He
  • Research Direction: LLM & Agent Safety
• The Chinese University of Hong Kong, Hong Kong (Mar. 2024 - Jul. 2024)
  • Remote intern working with Xiangxiang Dai and Prof. John C.S. Lui
  • Research Direction: Multi-arms Bandit Algorithm

Publications

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?

Dadi Guo*, Yuejin Xie*, Qingyu Liu, Jiayu Liu, Zhiyuan Fan, Qihan Ren, Shuai Shao, Tianyi Zhou, Dongrui Liu, Yi R. Fung. (2026). "Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?" arXiv preprint arXiv:2603.03202.

AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security

Dongrui Liu, ..., Yuejin Xie, et al. (2026). "AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security." arXiv preprint arXiv:2601.18491.

ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations

Yuejin Xie, Youliang Yuan, Wenxuan Wang, Fan Mo, Jianmin Guo, Pinjia He. (2025). "ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations." Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Towards Evaluating Proactive Risk Awareness of Multimodal Language Models

Youliang Yuan, Wenxiang Jiao, Yuejin Xie, Chihao Shen, Menghan Tian, Wenxuan Wang, Jen-tse Huang, Pinjia He. (2025). "Towards Evaluating Proactive Risk Awareness of Multimodal Language Models." NeurIPS 2025 Datasets and Benchmarks Track.

Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification

Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C.S. Lui. (2025). "Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification." arXiv preprint arXiv:2501.01849.

Awards

• National Scholarship (Top 1%), 2024
• National Scholarship (Top 1%), 2023
• The 6th DIGIX Global AI Challenge, National First Prize, 2024
• The 2024 Mathematical Contest in Modeling (MCM), Meritorious Winner, 2024