Publications

1. [ToN 2026] Hua Ding, Lixing Chen*, Bo Zhang; Hao Peng; Shenghong Li; Zhe Qu; Pan Zhou; Yang Bai. Making the Best of Both Worlds: Universal Perturbations for Live Black-Box Evasion against NIDS in Encrypted Traffic. IEEE Transactions on Networking. [Paper]

2. [TMC 2026] Zhongqi Miao, Xichun Cai, Lixing Chen*, Yang Bai, Hongfu Liu, Zhe Qu, Pan Zhou, Xinping Guan. Hybrid computing of decentralized applications in edge Web 3.0: A scheduling strategy via decision transformer. IEEE Transactions on Mobile Computing. [Paper]

3. [ToN 2026] Zhongqi Miao, Xichun Cai, Lixing Chen*, Yang Bai, Heqiang Wang, Zhe Qu, Pan Zhou, Xinping Guan. DApp scheduling for hybrid computing in edge Web 3.0: A reinforcement learning framework with heterogeneous graph neural networks. IEEE Transactions on Networking. [Paper]

4. [TSC 2026] Hua Ding, Lixing Chen*, Bo Zhang, Shenghong Li, Hao Peng, Zhe Qu, Yang Bai. Time will tell: criss-cross Transformer for encrypted traffic analysis. IEEE Transactions on Services Computing. [Paper]

5. [IoTJ 2025] Ye Wang, Lixing Chen, Yang Bai, Jianqi Yu, Wenyin Zhu, Bo Yang, Xinping Guan. Through diverse lenses: Multi-modal collaborative perception for indoor scenes in smart home systems. IEEE Internet of Things Journal. [Paper]

6. [IoTJ 2025] Ye Wang, Hansong Xu, Kun Hua, Yang Bai, Jianqi Yu, Wenyin Zhu, Lixing Chen, Bo Yang, Xinping Guan. P3FL: A privacy-preserving personalized federated learning framework for collaborative smart home predictions and decision-making. IEEE Internet of Things Journal. [Paper]

7. [TMC 2025] Heqiang Wang, Xiang Liu, Xiaoxiong Zhong, Lixing Chen, Fangming Liu, Weizhe Zhang. Multimodal online federated learning with modality missing in internet of things. IEEE Transactions on Mobile Computing. [Paper]

8. [IoTJ 2025] Ye Wang, Siyuan Li, Xi Lin, Yang Bai, Jianqi Yu, Lixing Chen, Bo Yang, Xinping Guan. HXRL: Explainable DRL-enhanced reliable VR video streaming for immersive smart healthcare. IEEE Internet of Things Journal. [Paper]

9. [TNSM 2024] Jing Wu, Qimei Chen, Hao Jiang, Haozhao Wang, Yulai Xie, Wenzheng Xu, Pan Zhou, Zichuan Xu, Lixing Chen, Beibei Li, others. Joint power and coverage control of massive UAVs in post-disaster emergency networks: An aggregative game-theoretic learning approach. IEEE Transactions on Network Science and Engineering. [Paper]

10. [TNSM 2024] Lixing Chen*, Feng Gao, Yang Bai, Jun Wu, Pan Zhou, Zichuan Xu. Privacy-preserving blockchained edge resource auction with fraud resistance. IEEE Transactions on Network and Service Management. [Paper]

11. [C&S 2024] Xiuzhen Chen, Weicheng Qiu, Lixing Chen, Yinghua Ma, Jin Ma. Fast and practical intrusion detection system based on federated learning for VANET. Computers & Security. [Paper]

12. [TMC 2024] Lixing Chen*, Yang Bai, Pan Zhou, Youqi Li, Zhe Qu, Jie Xu. On adaptive edge microservice placement: A reinforcement learning approach endowed with graph comprehension. IEEE Transactions on Mobile Computing. [Paper]

13. [TETC 2023] Yang Bai, Lixing Chen*, Jie Xu. NeuE: Automated neural network ensembles for edge intelligence. IEEE Transactions on Emerging Topics in Computing. [Paper]

14. [IoTJ 2023] Yang Bai, Lixing Chen*#, Jianhua Li, Jun Wu, Pan Zhou, Zichuan Xu, Jie Xu. Multicore Federated Learning for Mobile-Edge Computing Platforms. IEEE Internet of Things Journal. [Paper]

15. [TMC 2023] Yang Bai, Lixing Chen*, Shaolei Ren, Jie Xu. Automated Customization of On-Device Inference for Quality-of-Experience Enhancement. IEEE Transactions on Computers. [Paper]

16. [TMC 2022] Zichuan Xu, Lizhen Zhou, Sid Chi-Kin Chau, Weifa Liang, Haipeng Dai, Lixing Chen, Wenzheng Xu, Qiufen Xia, Pan Zhou. Near-optimal and collaborative service caching in mobile edge clouds. IEEE Transactions on Mobile Computing. [Paper]

17. [TPDS 2022] Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu. Context-aware online client selection for hierarchical federated learning. IEEE Transactions on Parallel and Distributed Systems. [Paper]

18. [C&S 2022] Weicheng Qiu, Yinghua Ma, Xiuzhen Chen, Haiyang Yu, Lixing Chen. Hybrid intrusion detection system based on Dempster-Shafer evidence theory. Computers & Security. [Paper]

19. [TMC 2022] Youqi Li, Fan Li, Lixing Chen*, Liehuang Zhu, Pan Zhou, Yu Wang. Power of redundancy: Surplus client scheduling for federated learning against user uncertainties. IEEE Transactions on Mobile Computing. [Paper]

20. [TCCN 2021] Pan Zhou, Shimin Gong, Zichuan Xu, Lixing Chen, Yulai Xie, Changkun Jiang, Xiaofeng Ding. Trustworthy and context-aware distributed online learning with autoscaling for content caching in collaborative mobile edge computing. IEEE Transactions on Cognitive Communications and Networking. [Paper]

21. [TWC 2021] Jie Xu, Heqiang Wang, Lixing Chen. Bandwidth allocation for multiple federated learning services in wireless edge networks. IEEE Transactions on Wireless Communications. [Paper]

22. [TMC 2021] Lixing Chen*, Cong Shen, Pan Zhou, Jie Xu. Collaborative service placement for edge computing in dense small cell networks. IEEE Transactions on Mobile Computing. [Paper]

23. [IoTJ 2021] Yang Bai, Lixing Chen*, Mohamed Abdel-Mottaleb*, Jie Xu. Automated ensemble for deep learning inference on edge computing platforms. IEEE Internet of Things Journal. [Paper]

24. [JSAC 2020] Lixing Chen*, Jie Xu. Seek common while shelving differences: Orchestrating deep neural networks for edge service provisioning. IEEE Journal on Selected Areas in Communications. [Paper]

25. [TNSM 2020] Yang Bai, Lixing Chen*, Linqi Song, Jie Xu. Risk-aware edge computation offloading using Bayesian Stackelberg game. IEEE Transactions on Network and Service Management. [Paper]

26. [TMM 2019] Lixing Chen*, Linqi Song, Jacob Chakareski, Jie Xu. Collaborative content placement among wireless edge caching stations with time-to-live cache. IEEE Transactions on Multimedia. [Paper]

27. [JSAC 2019] Lixing Chen*, Jie Xu. Budget-constrained edge service provisioning with demand estimation via bandit learning. IEEE Journal on Selected Areas in Communications. [Paper]

28. [TWC 2018] Jie Xu, Lixing Chen, Kun Liu, Cong Shen. Designing security-aware incentives for computation offloading via device-to-device communication. IEEE Transactions on Wireless Communications. [Paper]

29. [TWC 2018] Lixing Chen*, Jie Xu, Shaolei Ren, Pan Zhou. Spatio-temporal edge service placement: A bandit learning approach. IEEE Transactions on Wireless Communications. [Paper]

30. [ToN 2018] Lixing Chen*, Sheng Zhou, Jie Xu. Computation peer offloading for energy-constrained mobile edge computing in small-cell networks. IEEE/ACM Transactions on Networking. [Paper]

31. [TII 2018] Lixing Chen*, Pan Zhou, Liang Gao, Jie Xu. Adaptive fog configuration for the industrial internet of things. IEEE Transactions on Industrial Informatics. [Paper]

32. [KDD 2026] Haorui Yan, Lixing Chen*, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Zhe Qu. Agentic LLMs for Social Network Generation using Explainable Adversarial Re-prompting. ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [Paper]

33. [ACL 2026] Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie, Yongtian Xu, Lixing Chen*, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun. SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator. Annual Meeting of the Association for Computational Linguistics. [Paper]

34. [WWW 2026] Dun Tan, Lixing Chen*, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Pan Zhou. Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games. The Web Conference (Oral). [Paper]

35. [WWW 2026] Ji Shen, Lixing Chen*, Yang Bai, Zhongqi Miao, Zhe Qu, Pan Zhou, Jianhua Li. Augmenting Cross-View Geo-Localization with Spatial Semantics from Vision Foundation Models. The Web Conference (Oral). [Paper]

36. [WWW 2026] Chaofan Li, Lixing Chen*, Junhua Tang, Yang Bai, Yutong Zhang, Zhi Zheng, Pan Zhou, Zhe Qu. How human experts educate specialized LLMs: Filling knowledge gaps in KG-augmented generation through hallucination detection. The Web Conference (Oral). [Paper]

37. [NeurIPS 2025] Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen*, Pan Zhou, Lichao Sun. Can LLMs correct themselves? a benchmark of self-correction in LLMs. Annual Conference on Neural Information Processing Systems . [Paper]

38. [NeurIPS 2025] Wenjun Ding; Jingling Liu; Lixing Chen; Xiu Su; Tao Sun; Fan Wu; Zhe Qu. On the stability and generalization of meta-learning: the impact of inner-levels. Annual Conference on Neural Information Processing Systems. [Paper]

39. [KDD 2025] Yutong Zhang, Lixing Chen*, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai. Way to specialist: Closing loop between specialized llm and evolving domain knowledge graph. ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [Paper]

40. [IJCAI 2025] Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu. Stability and generalization for stochastic (compositional) optimizations. Internationa Joint Conference on Artificial Intelligence. [Paper]

41. [SMC 2025] Yuchen Pan, Yang Bai, Lixing Chen, Zunpu Zhang. Federated Hard Example Mining for Defect Detection Under Statistical Heterogeneity. IEEE International Conference on Systems, Man, and Cybernetics. [Paper]

42. [ICIC 2025] Song Du, Zhongqi Miao, Lixing Chen*, Hua Ding, Xichun Cai, Yang Bai. Offline Reinforcement Learning for Deployment of Multi-lingual Smart Contracts Based Microservices. International Conference on Intelligent Computing. [Paper]

43. [AAAI 2025] Wenjun Ding, Ying An, Lixing Chen*, Shichao Kan, Fan Wu, Zhe Qu. How does the smoothness approximation method facilitate generalization for federated adversarial learning?. AAAI Conference on Artificial Intelligence. [Paper]

44. [ECCV 2024] Mingyu Yang, Daizong Liu, Keke Tang, Pan Zhou, Lixing Chen, Junyang Chen. Hiding imperceptible noise in curvature-aware patches for 3d point cloud attack. European Conference on Computer Vision. [Paper]

45. [AAAI 2024] Wanfang Su, Lixing Chen#, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou. What makes good collaborative views? contrastive mutual information maximization for multi-agent perception. AAAI Conference on Artificial Intelligence. [Paper]

46. [IJCNN 2024] Xin Song, Lixing Chen*, Junhua Tang, Jianhua Li, Yang Bai, Wu Yang. Adaptively compressed swarm learning for distributed traffic prediction over IoV-Web3. 0. International Joint Conference on Neural Networks. [Paper]

47. [ICML 2024] Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu. Stability and generalization for stochastic recursive momentum-based algorithms for (strongly-) convex one to $ K $-level stochastic optimizations. International Conference on Machine Learning. [Paper]

48. [ICASSP 2024] Qinghua Mao, Xi Lin, Xiu Su, Gaolei Li, Lixing Chen, Jianhua Li. Prompting label efficiency in federated graph learning via personalized semi-supervision. IEEE International Conference on Acoustics, Speech and Signal Processing. [Paper]

49. [ICC 2024] Feng Gao, Lixing Chen*, Quanhai Zhang, Gaolei Li, Xi Lin, Yang Bai, Jianhua Li. Scale wisely, secure wholly: P2P swarm learning over consortium blockchain in edge networks. IEEE International Conference on Communications. [Paper]

50. [ACM MM 2024] Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, others. Not all inputs are valid: Towards open-set video moment retrieval using language. ACM International Conference on Multimedia. [Paper]

51. [WWW 2024] Hua Ding, Lixing Chen*, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu. Divide, conquer, and coalesce: Meta parallel graph neural network for iot intrusion detection at scale. The Web Conference. [Paper]

52. [ICC 2024] Xichun Cai, Lixing Chen*, Yang Bai, Xi Lin, Gaolei Li, Jianhua Li. Learning-Based DApp Task Scheduling for Elastic Hybrid Computing in Edge Web 3.0. IEEE International Conference on Communications. [Paper]

53. [ICC 2023] Jiajin Yang, Lixing Chen*, Junhua Tang, Jianhua Li, Wu Yang. Swarm reinforcement learning for collaborative content caching in information centric networks. IEEE International Conference on Communications. [Paper]

54. [CVPR 2023] Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen. How to prevent the poor performance clients for personalized federated learning?. IEEE/CVF Conference on Computer Vision and Pattern Recognition. [Paper]

55. [ISPA 2023] Qinghua Mao, Xi Lin, Gaolei Li, Lixing Chen, Yuchen Liu, Yuxin Qi, Jianhua Li. Ensuring minority group rights in social IoT with fairness-aware federated graph node classification. IEEE International Conference on Parallel and Distributed Processing with Applications. [Paper]

56. [ACM MM 2023] Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan, Yu Cheng. Filling the information gap between video and query for language-driven moment retrieval. ACM International Conference on Multimedia. [Paper]

57. [ MSN 2023] Siyuan Li, Xi Lin, Gaolei Li, Lixing Chen, Siyi Liao, Jing Wang, Jianhua Li. DPG-DT: Differentially private generative digital twin for imbalanced learning in industrial IoT. International Conference on Mobility, Sensing and Networking. [Paper]

58. [ICC 2023] Xuewei Hou, Lixing Chen*, Junhua Tang, Jianhua Li, Wu Yang. Hierarchical Swarm Learning for Edge-Assisted Collaborative Vehicle Trajectory Prediction. International Conference on Communications. [Paper]

59. [TrustCom 2022] Zhi Luo, Youqi Li, Lixing Chen, Zichuan Xu, Pan Zhou. Data Poisoning Attack to X-armed Bandits. IEEE International Conference on Trust, Security and Privacy in Computing and Communications. [Paper]

60. [TrustCom 2022] Zhi Luo, Youqi Li, Lixing Chen, Zichuan Xu, Pan Zhou. Action-Manipulation Attack and Defense to X-Armed Bandits. IEEE International Conference on Trust, Security and Privacy in Computing and Communications. [Paper]

61. [GLOBECOM 2022] Xuewei Hou, Lixing Chen*, Junhua Tang, Jianhua Li. Multi-agent learning automata for online adaptive control of large-scale traffic signal systems. IEEE Global Communications Conference. [Paper]

62. [WWW 2021] Letian Zhang, Lixing Chen, Jie Xu. Autodidactic neurosurgeon: Collaborative deep inference for mobile edge intelligence via online learning. The Web Conference. [Paper]

63. [MASS 2021] Yang Bai, Lixing Chen*, Letian Zhang, Mohamed Abdel-Mottaleb, Jie Xu. Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms. IEEE International Conference on Mobile Ad Hoc and Smart Systems. [Paper]

64. [GLOBECOM 2019] Chengshuai Shi, Lixing Chen*, Cong Shen, Linqi Song, Jie Xu. Privacy-aware edge computing based on adaptive DNN partitioning. IEEE Global Communications Conference. [Paper]

65. [INFOCOM 2019] Lixing Chen*, Jie Xu. Task replication for vehicular cloud: Contextual combinatorial bandit with delayed feedback. IEEE Conference on Computer Communications. [Paper]

66. [CCS-MTD 2019] Yang Bai, Lixing Chen*, Linqi Song, Jie Xu. Bayesian Stackelberg game for risk-aware edge computation offloading. Proceedings of the ACM CCS Workshop on Moving Target Defense. [Paper]

67. [INFOCOM 2018] Jie Xu, Lixing Chen, Pan Zhou. Joint service caching and task offloading for mobile edge computing in dense networks. IEEE Conference on Computer Communications. [Paper]

68. [ICC 2018] Hang Wu, Lixing Chen, Cong Shen, Wujie Wen, Jie Xu. Online geographical load balancing for energy-harvesting mobile edge computing. IEEE International Conference on Communications. [Paper]

69. [NeurIPS 2018] Lixing Chen*, Jie Xu, Zhuo Lu. Contextual combinatorial multi-armed bandits with volatile arms and submodular reward. Annual Conference on Neural Information Processing Systems. [Paper]

70. [ICC 2017] Jie Xu, Yuxuan Sun, Lixing Chen, Sheng Zhou. E2M2: Energy efficient mobility management in dense small cells with mobile edge computing. IEEE International Conference on Communications. [Paper]

71. [SEC 2017] Lixing Chen*, Jie Xu. Socially trusted collaborative edge computing in ultra dense networks. ACM/IEEE symposium on edge computing. [Paper]

72. [ICC 2017] Lixing Chen*, Sheng Zhou, Jie Xu. Energy efficient mobile edge computing in dense cellular networks. IEEE International Conference on Communications. [Paper]

73. [GLOBECOM 2017] Lixing Chen*, Jie Xu, Sheng Zhou. Computation peer offloading in mobile edge computing with energy budgets. IEEE Global Communications Conference. [Paper]

74. [SMC 2015] Lixing Chen, Xuemin Tian*, Lianfang Cai. FIM-based pairwise selection for active learning on imbalanced datasets. IEEE International Conference on Systems, Man, and Cybernetics. [Paper]