Introduction

I am currently pursuing my Ph.D. at the CAS Key Laboratory of AI Safety, advised by Prof. Xueqi Cheng and Assoc. Prof. Bingbing Xu. I obtained my B.S. degree in Information Security from Xidian University in 2020.

My research goal is to build Trustworthy AI that performs reliably across diverse scenarios.

To achieve this, I worked on Generalization & Robustness and Alignment & Hallucination within domains of graph, vision, and language, for tasks of both discriminative and generative modeling.

📝 Selected Publications FullList

NeurIPS 2024

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters Yige Yuan, Teng Xiao, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Re, Vasant G Honavar

• he Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO; Main Track

(Paper)(Code)(Slides)(Poster)

NeurIPS 2024

Direct Imitation Learning: RLHF Secretly Performs Imitation Learning Yige Yuan, Teng Xiao, Zhengyu Chen, Mingxiao Li, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO; Main Track

(Paper)(Code)(Slides)(Poster)

NeurIPS 2024

TEA: Test-time Energy Adaptation Yige Yuan, Teng Xiao, Zhengyu Chen, Mingxiao Li, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO; Main Track

(Paper)(Code)(Slides)(Poster)

NeurIPS 2024

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan, Teng Xiao, Zhengyu Chen, Mingxiao Li, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO; Main Track

(Paper)(Code)(Slides)(Poster)

NeurIPS 2024

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Yige Yuan, Teng Xiao, Zhengyu Chen, Mingxiao Li, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO; Main Track

(Paper)(Code)(Slides)(Poster)

🎖 Awards && Honors

• 2024 National Scholarship (Doctoral Students)
• 2024 First-Class Scholarship, University of Chinese Academy of Sciences
• 2023 Presidential Scholarship, Institute of Computing Technology
• 2022 First-Class Scholarship, University of Chinese Academy of Sciences
• 2022 Outstanding Student Award, University of Chinese Academy of Sciences
• 2019 First Prize, 12th National College Students Information Security Contest
• 2017 First Prize, 15th National Science and Technology Academic Competition of Challenge Cup

📖 Educations

• 2021.09 - Present, Institute of Computing Technology, Chinese Academy of Seiences.
  • Consecutive MS and phD in Computer Application Technology and Cyberspace Security
  • Tutor: Professor Xueqi Cheng and Xinran Liu
• 2017.09 - 2021.06, Chongqing University.
  • BS in Software Engineering
  • Tutor: Professor Haibo Hu

💻 Invited Talks

• LOGS Webinar, Partial Differential Equation-Driven Generalizable Neural Networks, March 2024 [video]
• AITime Webinar, TEA: Test-time Energy Adaptation, April 2024
• WizSci Webinar, PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion, Jan 2024

👩🏻‍🎓 Academic Services

• Conference Reviewers: NeurIPS 2024, ICML 2025, ICLR 2025, AISTATS 2025, KDD 2025, WWW 2025, AAAI 2025, ACL 2025, EMNLP 2024, COLING 2025, ACL Rolling Review, MIDL 2025, IJCNN 2025

• Journal Reviewers: IEEE Transactions on Knowledge and Data Engineering (TKDE), Applied Intelligence (APIN)