Welcome.

I am Yaowen Ye (Elwin, or 叶耀文), a second-year undergraduate majoring in Computer Science at the University of Hong Kong. I have been deeply intrigued by research on machine intelligence since high school, and I hope to devote and contribute to this fantastic field in my future career. Currently, I am working with Dr. Chao Huang at Data Intelligence Lab@HKU, focusing on graph machine learning, self-supervised learning, and their applications on recommender systems.

Links:  [📮Email][📑Curriculum Vitae]

Me
 
 

Research Interests

 
 

Publications

2023

Graph Masked Autoencoder for Sequential Recommendation.
     The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23)
     Yaowen Ye, Chao Huang and Lianghao Xia. [pdf] [GitHub]

Masked Graph Transformer for Recommendation.
     The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23)
     Chaoliu Li, Chao Huang, Lianghao Xia, Xubin Ren, Yaowen Ye and Yong Xu. [pdf]
 
 

Friends