I am currently a third-year Ph.D. student under the advisory of Prof.Defu Lian in School of Computer Science and Technology, University of Science and Technology of China (USTC). I got my B.S. degree from University of Science and Technology of China (USTC) in 2021.
My research interest includes large language models, data mining, information retrieval, especially on recommender system. Recently my major research direction is on the LLM-driven autonomous agents. I have published several papers at the top international AI conferences with total 10+ google scholar citations 
🔥 News
- 2024.04: 🎉🎉 Our method for weak exploration to strong exploitation for LLM agents is released in Arxiv.
- 2024.03: 🎉🎉 Our demo paper for the toolkit RecAI for bridging LLM and Recommendation Systems is accepted by WWW 2024. The project is released in Github.
- 2024.02: 🎉🎉 Our survey for the planning ability of LLM agents is released in Arxiv.
- 2024.01: 🎉🎉 Our work for the data-centric multi-objective recommendation MoRec is accepted by WWW 2024, accept rate 20.2%.
📝 Publications
WESE: Weak Exploration to Strong Exploitation for LLM Agents
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
- A novel prompt-based method for LLM agents, leveraging weaker agent for exploration and stronger agent for exploitation.
RecAI: Leveraging Large Language Models for Next-GenerationRecommender Systems
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
- A practical toolkit designed to augmentor even revolutionize recommender systems with the advanced capabilities of Large Language Models.
- Demo Paper
Understanding the planning of LLM agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
- A survey about the planning ability of LLM agents.
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
- A data-centric framework for multi-objective learning in recommendation systems.
- Code
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
- A framework to build an interactive recommendation agent with LLM
- Code
When large language models meet personalization: Perspectives of challenges and opportunities
Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
- A survey to summarize the combination of large language models and personlization systems
RecStudio: Towards a Highly-Modularized Recommender System
Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen
- A modularized recommender system library RecStudio was developped and released to public
- Project homepage
Cooperative Retriever and Ranker in Deep Recommenders
Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
- An adaptive hard negative sampler was introduced to enhance the ranker
- An sampling based KL divergence was proposed to enhance the retriever
Fast variational autoencoder with inverted multi-index for collaborative filtering
Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zhang, Enhong Chen
- An adaptive negative sampler was proposed to training VAE efficiently
🎖 Honors and Awards
- National Scholarship, 2023.10
- USTC Academic Scholarship, 2021.09, 2022.09, 2023.09
- USTC Excellent Student Prize, 2017.09, 2018.09, 2019.09
- National Encouragement Scholarship, 2018.09
- Shizhang Bei Talent class Scholarship, 2017.09
📖 Educations
- 2021.09 - 2026.12 (expected), School of Computer Science and Technology, University of Science and Technology of China (USTC), Ph.D. student.
- 2017.08 - 2021.06, School of Computer Science and Technology, University of Science and Technology of China (USTC), Bachelor.
💻 Internships
- 2023.11 - Now, Huawei Noah’s Ark Lab, Shenzhen, China.
- Research intern in Recommendation and Search Group
- Mentor: Weiwen Liu
- 2022.10 - 2023.10, Microsoft Research Asia, Beijing, China.
- Research intern in Social Computing Group
- Mentor: Jianxun Lian
⏳ Professional Services
Program Committee Members
- Reviewer, IEEE TKDE
- Reviewer, WWW 2024
- PC member, TrustKDD2023 (workshop)
- PC member, AAAI 2024
- Sub-Reviewer, CIKM 2023