About Me

I'm a second-year Ph.D. student in the School of Intelligence Science and Technology, Peking University. My research interests include:

• Reasoning and test-time scaling of (multimodal) LLMs: Reinforcement learning, in-context learning, etc.
• Out-of-distribution (OOD) generalization across various scenarios: Theoretical analysis and algorithmic design of domain generalization in computer vision tasks, OOD generalization on graph data, and generalization of LLMs, etc.

Education

• B.S. in Intelligence Science and Technology, EECS, Peking University (Sep 2019 – Jul 2023)
• Ph.D. Candidate in ML & Computer Vision, SIST, Peking University (Sep 2023 – now)

Publications

1. Audio-Visual Instance Segmentation
   Ruohao Guo , Xianghua Ying, Yaru Chen , Dantong Niu , Guangyao Li , Liao Qu , Yanyu Qi, Jinxing Zhou, Bowei Xing , Wenzhen Yue , Ji Shi, Qixun Wang, Peiliang Zhang , Buwen Liang
   CVPR 2025 2025
   papercode
2. Can In-context Learning Really Generalize to Out-of-distribution Tasks?
   Qixun Wang, Yifei Wang, Xianghua Ying, Yisen Wang
   ICLR 2025 2025
   papercode
3. Dissecting the Failure of Invariant Learning on Graphs
   Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying
   NeurIPS 2024 2024
   papercode
4. Improving Out-of-distribution Robustness by Adversarial Training with Structured Priors
   Qixun Wang*, Yifei Wang*, Hong Zhu, Yisen Wang
   NeurIPS 2022 (Spotlight) 2022
   papercode

Experience

• Reviewer: TMLR, ICML 2025, ICLR 2025, NeurIPS 2024
• TA: Computer Vision (SIST, PKU), Spring 2024

Awards

• Outstanding Graduate of Peking University (2023)
• Yanchuang Capital Scholarship (Top 6%) (2022)
• Merit Student at PKU (Top 6%) (2022)
• Academic Innovation Award (Top 1%) (2022)
• Award for Academic Excellence (2021)