Co-authors
5
list available
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier venues including NeurIPS, ICML, KDD, ACL, ASE, SIGIR, and TKDE, covering LLMs, time series forecasting, graph prompting, and unbiased learning-to-rank
- 2025: National Second-Class Prize (Top 1%) in Contemporary Undergraduate Mathematical Contest in Modeling (Ph.D. category)
- 2024: Best Research Award in Data Science (Top 1%)
- 2022: National Scholarship (Top 1%)
- 2019: Second-Class Prize (Top 2%) in China Collegiate Computing Contest; Master National Second-Class Prize (Top 3%) in Mathematical Contest in Modeling; Zhejiang Provincial Government Scholarship
- 2018: First-Class Prize (Top 5%) in Zhejiang Province Physics Competition
- Served as reviewer for ICML 2025, NeurIPS 2023, ICLR 2024–2025, TheWebConf 2024–2025, and KDD 2024
Background
- Final-year Ph.D. student at College of Computer Science and Technology, Zhejiang University
- Advised by Prof. Jianling Sun
- Collaborated with Chenghao Liu and Zhongxin Liu
- Currently interning at Alibaba's Qwen (Tongyi Qianwen) group
- Research interests: large generative models (LLMs, prompting in NLP and graphs, diffusion models), time series processing, and unbiased ranking and recommendation