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]
Publications
You can also find the full list on Google Scholar.
2026
In KDD 2026. [Download paper] [slide]
2025
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]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]
2022
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]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]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]
2021
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]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]
2020
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]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]Feudal Latent Space Exploration for Coordinated Multi-agent Reinforcement Learning
Xiangyu Liu, Ying Tan.
In AAMAS@ALA 2020. [Download paper]
2019
Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning
Xiangyu Liu, Ying Tan.
In IJCNN 2019. [Download paper]
2017
Adaptive potential fields model for solving distributed area coverage problem in swarm robotics
Xiangyu Liu, Ying Tan.
In ICSI 2017. [Download paper]
* denotes equal contribution.