Hi, I am Zonghe Shao. I am currently a third-year MPhil student at Huazhong University of Science and Technology (HUST), supervised by Prof. Renzhi Lu, and I expect to graduate in June 2027. I received my B.Sc. in Artificial Intelligence from HUST in 2024.
My research interests include Reinforcement Learning (RL), Large Language Models (LLMs), and their applications in Recommender Systems (Recsys). My main research is on autonomously learning rewards for RL agents (published in Nature Communications and Research). I have rich internship experience: I am currently an intern at Taobao & Tmall Group, Alibaba, and before that I interned at Kuaishou Technology and TikTok, ByteDance. I am interested in LLMs for Recommender Systems (LLM4Rec), Generative Recommendation (GR).
If you want to contact me, or if you are interested in collaborating with me, please drop me an e-mail using my Gmail: zongheshao17[AT]gmail.com.
UGR: Unified Generative Ranking for Heterogeneous E-commerce Recommendation
Zonghe Shao, Huabin Chen, Sitong Lu, Fangmei Zhu, Yingcai Ma, Ge Fan, Jinguo Gao, Wei Shi, Yanfang Liu & Huiping Chu
Work done during an internship at Taobao & Tmall Group of Alibaba.
Zonghe Shao, Tiantian He, Xiaoxiao Xu, Jiaqi Yu, Minzhi Xie, Jinfang Gu, Yongqi Liu, Kaiqiao Zhan & Kun Gai
Work done during an internship at Kuaishou Technology.
Renzhi Lu, Jie Wang, Zonghe Shao, Ruijuan Chen, Lijun Zhu, Yuzhi Jiang, Yunyi Pang, Dongfang Liang, Yang Shi & Han Ding
Discovery of the reward function for embodied reinforcement learning agents
Renzhi Lu, Zonghe Shao, Yuemin Ding, Ruijuan Chen, Dongrui Wu, Housheng Su, Tao Yang, Fumin Zhang, Jun Wang, Yang Shi, Zhong-Ping Jiang, Han Ding & Hai-Tao Zhang
