Kaixiang Lin
Scholar

Kaixiang Lin

Google Scholar ID: egq785sAAAAJ
Amazon AGI
Foundation modelsReinforcement LearningMachine Learning.
Citations & Impact
All-time
Citations
3,149
 
H-index
19
 
i10-index
24
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published papers in ICML 2025, ICLR 2025, NeurIPS 2024 Workshop, EMNLP findings. 2024, Journal of Artificial Intelligence Research (JAIR) 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023, Transactions on Machine Learning Research (TMLR) 2022, and other conferences and journals.
Research Experience
  • From Oct 2021 to Feb 2024, worked on pre-training and contrastive learning of text embedding model, initiated and led RLHF efforts for Amazon Tian models at AWS. Before joining AWS, spent one year at Amazon Lab126, working on embodied AI.
Education
  • Ph.D. in Computer Science from Michigan State University (MSU); B.S. in Electronic Engineering and Information Science from the University of Science and Technology of China (USTC).
Background
  • Research interests include RL reasoning, MultiModal RLHF, etc. Previously led RLHF efforts for Amazon Tian models at AWS and worked on embodied AI at Amazon Lab126.
Miscellany
  • Personal interests not mentioned