| 2026 | ACL | SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator. | Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie, Yongtian Xu, Lixing Chen, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun |
| 2026 | PAKDD | TS-Unlearn: A Dual-Objective Unlearning Framework for Time Series Forecasting. | Ziyi Wang, Lixing Chen, Zhongqi Miao, Junhua Tang, Yang Bai, Jianhua Li |
| 2026 | WWW | How Human Experts Educate Specialized LLMs: Filling Knowledge Gaps in KG-Augmented Generation through Hallucination Detection. | Chaofan Li, Lixing Chen, Junhua Tang, Yang Bai, Yutong Zhang, Zhi Zheng, Pan Zhou, Zhe Qu |
| 2026 | WWW | Augmenting Cross-View Geo-Localization with Spatial Semantics from Vision Foundation Models. | Ji Shen, Lixing Chen, Yang Bai, Zhongqi Miao, Zhe Qu, Pan Zhou, Jianhua Li |
| 2026 | WWW | Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games. | Dun Tan, Lixing Chen, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Pan Zhou |
| 2025 | AAAI | How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? | Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu |
| 2025 | IJCAI | Stability and Generalization for Stochastic (Compositional) Optimizations. | Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu |
| 2025 | IJCNN | Fed-DSMOTE: A Federated Learning Approach for Intrusion Detection in Resource-Constrained Internet of Things. | Haoran Li, Lixing Chen, Zhenzhou Tang |
| 2025 | KDD | Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. | Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai |
| 2025 | SMC | Federated Hard Example Mining for Defect Detection Under Statistical Heterogeneity. | Yuchen Pan, Yang Bai, Lixing Chen, Zunpu Zhang |
| 2025 | SMC | Federated Learning with Diversified Model Ensemble for Industrial Preventive Maintenance. | Yuchen Pan, Yang Bai, Zunpu Zhang, Lixing Chen |
| 2024 | AAAI | What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. | Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou |
| 2024 | CSCWD | Trading Trust for Privacy: Socially-Motivated Personalized Privacy-Preserving Collaborative Learning in IoT. | Yuliang Chen, Xi Lin, Gaolei Li, Lixing Chen, Jing Wang, Siyi Liao, Jianhua Li |
| 2024 | ECCV | Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack. | Mingyu Yang, Daizong Liu, Keke Tang, Pan Zhou, Lixing Chen, Junyang Chen |
| 2024 | ICML | Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations. | Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu |
| 2024 | IJCNN | Adaptively Compressed Swarm Learning for Distributed Traffic Prediction over IoV-Web3.0. | Xin Song, Lixing Chen, Junhua Tang, Jianhua Li, Yang Bai, Wu Yang |
| 2024 | WWW | Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. | Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu |
| 2023 | CVPR | How to Prevent the Poor Performance Clients for Personalized Federated Learning? | Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen |
| 2022 | GLOBECOM | Multi-Agent Learning Automata for Online Adaptive Control of Large-Scale Traffic Signal Systems. | Xuewei Hou, Lixing Chen, Junhua Tang, Jianhua Li |
| 2022 | TrustCom | Data Poisoning Attack to X-armed Bandits. | Zhi Luo, Youqi Li, Lixing Chen, Zichuan Xu, Pan Zhou |
| 2022 | TrustCom | Action-Manipulation Attack and Defense to X-Armed Bandits. | Zhi Luo, Youqi Li, Lixing Chen, Zichuan Xu, Pan Zhou |
| 2021 | MASS | Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms. | Yang Bai, Lixing Chen, Letian Zhang, Mohamed Abdel-Mottaleb, Jie Xu |
| 2021 | WWW | Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. | Letian Zhang, Lixing Chen, Jie Xu |
| 2020 | INFOCOM | Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks. | Lixing Chen, Zhuo Lu, Pan Zhou, Jie Xu |
| 2019 | CCS | Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. | Yang Bai, Lixing Chen, Linqi Song, Jie Xu |
| 2019 | GLOBECOM | Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. | Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu |
| 2019 | INFOCOM | Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback. | Lixing Chen, Jie Xu |
| 2018 | INFOCOM | Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks. | Jie Xu, Lixing Chen, Pan Zhou |
| 2017 | GLOBECOM | Computation Peer Offloading in Mobile Edge Computing with Energy Budgets. | Lixing Chen, Jie Xu, Sheng Zhou |
| 2015 | SMC | FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets. | Lixing Chen, Xuemin Tian, Lianfang Cai |