Automated Annotation of Privacy Information in User Interactions with Large Language Models
Hang Zeng, Xiangyu Liu, Yong Hu, Chaoyue Niu, Fan Wu, Shaojie Tang, Guihai Chen.In KDD 2026. [Download paper] [slide]
CV
Education
- Ph.D. in Computer Science, Peking University · 2015 – 2020
- School of Electronics Engineering and Computer Science (EECS)
- Key Laboratory of Machine Perception and Intelligence
- Advisor: Prof. Ying Tan
- B.S. in Intelligence Science and Technology, Nankai University · 2011 – 2015
- Dual B.A. in Business Administration, Tianjin University · 2012 – 2015
Experience
- Senior Researcher, WeChat AI, Tencent · 2021 – Present
- LLMs and their applications: personalization, privacy-aware interaction, retrieval-augmented generation routing, device–cloud collaborative deployment.
- Senior Algorithm Engineer, Alibaba Group — Display Advertising · 2020 – 2021
- Learning-based mechanism design and auction optimization for display advertising.
- Research Intern, Alibaba Group · 2019
- Reinforcement learning and mechanism design for e-commerce advertising.
- Research Intern, Horizon Robotics · 2016 – 2019
- Reinforcement learning for autonomous driving and game AI.
Academic Collaborations
- Device–Cloud LLM applications with Dr. Chaoyue Niu, Shanghai Jiao Tong University. 2023 – Present
- Learning-based mechanism design in e-commerce advertising with Dr. Zhenzhe Zheng, Shanghai Jiao Tong University. 2020 – 2021
Research Interests
- LLMs and their Applications — personalization, privacy-aware interaction, retrieval-augmented generation routing, device–cloud collaborative deployment.
- Reinforcement Learning — multi-agent coordination, representation learning, exploration.
- Mechanism Design & Learning-based Auctions — for online advertising systems.
Selected Publications
See the Publications page for the complete list.
In KDD 2026. [Download paper] [slide]RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
Jiarui Zhang, Xiangyu Liu, Yong Hu, Chaoyue Niu, Fan Wu, Guihai Chen.
In NeurIPS 2025. [Download paper] [slide]Personalized Language Model Learning on Text Data Without User Identifiers
Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen.
In KDD 2025. [Download paper] [slide]Feudal Latent Space Exploration for Coordinated Multi-agent Reinforcement Learning
Xiangyu Liu, Ying Tan.
In IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=10.451) 2022. [Download paper]On Designing a Two-stage Auction for Online Advertising
Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu.
In WWW 2022. [Download paper]A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu.
In WSDM 2022. [Download paper]Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu.
In KDD 2021. [Download paper] [slide] [video]Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
Xiangyu Liu*, Zhilin Zhang*, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai.
In WSDM 2021. [Download paper] [slide] [video]Feudal Latent Space Exploration for Coordinated Multi-agent Reinforcement Learning
Xiangyu Liu, Ying Tan.
In AAMAS@ALA 2020. [Download paper]Attentive relational state representation in decentralized multiagent reinforcement learning
Xiangyu Liu, Ying Tan.
In IEEE Transactions on Cybernetics (TCYB, IF=11.448) 2020. [Download paper]Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning
Xiangyu Liu, Ying Tan.
In IJCNN 2019. [Download paper]Multi-source, Multi-object and Multi-domain (M-SOD) Electromagnetic Interference System Optimised by Intelligent Optimisation Approaches
Yihua Hu, Minle Li, Xiangyu Liu, Ying Tan.
In Natural Computing 2020. [Download paper]Adaptive potential fields model for solving distributed area coverage problem in swarm robotics
Xiangyu Liu, Ying Tan.
In ICSI 2017. [Download paper]
Academic Services
- Program Committee / Conference Reviewer: WWW 2022, WCCI 2022, ECML-PKDD 2022, IJCAI 2023, KDD 2023, NeurIPS 2023, IJCAI 2024, KDD 2025, ICML 2026.
- Journal Reviewer: IEEE Transactions on Cybernetics (TCYB), Natural Computing.