Yu Song
I am a machine learning engineer at Meituan. I received my Master's degree in Computer Science (Sep.2018-Jun.2021) at Huazhong University of Science and Technology (HUST), Wuhan, where I am fortunate to be advised by Prof. Hong Huang. Before that, I received my Bachelor's degree (Sep.2014-Jun.2021) in Telecommunication Engineering at HUST.
My research interests lie in information retrieval, graph neural networks, and natural language processing.
NEWS:
May, 2022-One paper was accepted to KDD 2022.
Oct, 2021-One paper was accepted to WSDM 2022.
Nov, 2020-One paper was accepted to IEEE TNNLS.
Aug, 2020-One paper was accepted to ACM TKDD.
Feb, 2020-One paper was accepted to DASFAA 2020.
SELECTED PUBLICATIONS:
[WSDM 22] Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, and Xing Xie
[TNNLS] Multi-Task Representation Learn- ing with Multi-View Graph Convolutional Networks.
Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, and Hai Jin
[TKDD] Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, and Hai Jin
Industrial Experience:
Machine Learning Engineer, Meituan Group, Beijing, China, Jun.2021~Now.
Machine Learning Intern, TikTok, Beijing, China, Mar.2020~Sep.2020.