Yinheng Li

Yinheng Li is a senior applied scientist in Microsoft’s Applied Sciences Group (ASG).

Yinheng received his master-of-science degree in data science from Columbia University, and his bachelor-of-science degree in financial mathematics from Baruch College, CUNY.

Before joining ASG, Yinheng was an applied scientist on the A.I. Architecture and Strategy team in Microsoft Research.  Before Microsoft, he worked as a data scientist at Vanguard for two years.

Yinheng has worked with large-language models, semantic search, and various other natural-language processing domains.  He has broad interests ranging from reinforcement learning to recommendation systems.

• Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

  NeurIPS Workshop 2024 December, 2024

  By Rogerio Bonatti, Danny Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Jang, Zack Hui
• VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

  NeurIPS Workshop 2024 December, 2024

  By Lawrence Jang, Yinheng Li, Charles Ding, Justin Lin, Paul Pu Liang, Danny Zhao, Rogerio Bonatti, Kazuhito Koishida
• Data Generation using Large Language Models for Text Classification: An Empirical Case Study

  DMLR Workshop in ICML 2024 July, 2024

  By Yinheng Li, Rogerio Bonatti, Sara Abdali, Justin Wagle, Kazuhito Koishida