Hi there 👋 I'am Ming Yang. Welecome to my site~

I am a second-year Master at School of Data Science, Fudan University, advised by Dr. Weiguo Zheng. My research focuses on LLM related technologies, including

• Retrieval-Augmented Generation (RAG) and Vector Retrieval (Approximate Nearest Neighbor Search, ANNS)
• LLM post training, e.g., Reinforcement Learning with Verifiable Rewards (RLVR) and Supervised Fine-Tuning (SFT).

I expect to graduate in July 2027. For any problem, you can contact me by [email protected].

• [2025/09] New work about LLM RLVR: arXiv
• [2025/05] One paper accpeted by KDD 2025
• [2024/09] One paper accepted by NeurIPS 2024

• CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search.
  Ming Yang, Yuzheng Cai, and Weiguo Zheng.
  Thirty-eighth Annual Conference on Neural Information Processing Systems. NeurIPS 2024.
  [link] [pdf] [code] [slides] [poster]

• Hi-PNG: Efficient Interval-Filtering ANNS via Hierarchical Interval Partition Navigating Graph.
  Ming Yang, Yuzheng Cai, and Weiguo Zheng.
  Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2025.
  [link] [code]