I am Yaowen Ye (or Elwin, or 叶耀文), a senior majoring in Computer Science at the University of Hong Kong and an incoming PhD student at UC Berkeley. I am interested in making human oversight of AI systems reliable on hard tasks and efficient for complex outputs. Currently, I am working in Prof. Jacob Steinhardt's group. Before this, I was fortunate to be advised by Prof. Yixin Zhu at PKU Cognitive Reasoning Lab and Prof. Chao Huang at HKU Data Intelligence Lab.

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Me
 
 

Research Interests

I am interested in making human oversight of AI systems reliable on hard tasks and efficient for complex outputs. Some problems I am thinking about recently are:

In the past, I also worked on cognitive reasoning, intuitive physics, learning on graphs, and recommender systems.

 
 

Publications

2025

Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision.
   International Conference on Learning Representations (ICLR), 2025. Spotlight presentation.
   Yaowen Ye*, Cassidy Laidlaw* and Jacob Steinhardt. [paper]

2023

Graph Masked Autoencoder for Sequential Recommendation.
   ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
   Yaowen Ye, Chao Huang and Lianghao Xia. [paper]


Masked Graph Transformer for Recommendation.
   ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
   Chaoliu Li, Chao Huang, Lianghao Xia, Xubin Ren, Yaowen Ye and Yong Xu. [paper]



 
 

Miscellaneous

 
 

Friend Links

(Alphabetical order)
  • Entong He
  • Meitong Liu
  • Xuheng Cai
  • Yitao Liu (🌊God)
  • Zhuoyu He (Henoru)