I am a second-year PhD student in the Mμ Lab at the Institute for Artificial Intelligence, Peking University, advised by Prof. Muhan Zhang. My research centers on large language models, with a focus on strengthening their reasoning abilities and creativity—ultimately enabling them to propose and solve innovative problems that may surpass human capabilities. Before graduate school, I received my bachelor’s degree from National University of Defense Technology, where I worked with Prof. Tiejun Li and Dr. Yanqiang Sun.
📝 Publications
- The Road Less Traveled: Enhancing Exploration in LLMs via Sequential Sampling, Shijia Kang, Muhan Zhang, preprint.
- Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs, Yi Hu*, Shijia Kang*, Haotong Yang, Haotian Xu, Muhan Zhang, ICML 2025
- RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?, Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang, 2025
- Number cookbook: Number understanding of language models and how to improve it, Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang, ICLR 2025
- On the Completeness of Invariant Geometric Deep Learning Models, Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang, ICLR 2025
- GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization, Juntong Wang, Libin Chen, Xiyuan Wang, Shijia Kang, Haotong Yang, Da Zheng, Muhan Zhang, preprint.
🎖 Honors and Awards
- 2024.09 24th place @ 48th Annual World Finals of the ICPC.
- 2024.06 Outstanding Graduates.
- 2023.06 Deya student (~0.2%).
- 2022.12 National Scholarship for Undergraduate Student.
📖 Educations
- 2024.09 -, Ph.D. student, Institute for Artificial Intelligence, Peking University.
- 2020.09 - 2024.06, B.E., School of Computer, National University of Defense Technology.