Weiqin Yang

I am a third-year Ph.D. student in College of Computer Science and Technology, Zhejiang University, advised by Prof. Jiawei Chen. In my previous studies, I received my Bachelor’s degree from School of Computer Science and Technology, Shandong University, working with Prof. Ranran Huang.

I have published multiple papers in top-tier machine learning conferences, such as NeurIPS, KDD, WWW, SIGIR, etc. I have also served as a reviewer for conferences and journals including NeurIPS, ICLR, SIGIR, TOIS, etc. I am also honored to receive the Chu Kochen Scholarship in 2026, the highest-level scholarship at Zhejiang University.

My research interests lie in optimization, foundation models, and recommendation, with a focus on the following topics:

• Ranking Metrics Optimization (e.g., PSL, SL@K, Talos, ALPHA).
• Scaling Laws (e.g., SPRINT).
• Training-Inference Alignment (e.g., BEAR, BAD).
• Debiasing and Fairness (e.g., SPRINT, PAT).
• Reinforcement Learning (e.g., BLADE).
• On-Policy Distillation (e.g., KL-MOPD).
• Decoding Efficiency (e.g., PFA, Simba).
• Self-Evolving AI4ML (e.g., Astar).