Support Vector Regression Based on Grid-Search Method for Short-Term Wind Power Forecasting. - Hong Zhang; Lixing Chen; Yong Qu; Guo Zhao; Zhenwei Guo (J. Appl. Math., 2014)

FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets. - Lixing Chen; Xuemin Tian; Lianfang Cai (SMC, 2015)

Less is More: Participation Incentives in D2D-enhanced Mobile Edge Computing under Infectious DDoS Attacks. - Jie Xu 001; Lixing Chen; Kun Liu; Cong Shen 001 (CoRR, 2016)

Socially trusted collaborative edge computing in ultra dense networks. - Lixing Chen; Jie Xu 001 (SEC, 2017)

Computation Peer Offloading in Mobile Edge Computing with Energy Budgets. - Lixing Chen; Jie Xu 001; Sheng Zhou 001 (GLOBECOM, 2017)

Energy efficient mobile edge computing in dense cellular networks. - Lixing Chen; Sheng Zhou 001; Jie Xu 001 (ICC, 2017)

E2M2: Energy efficient mobility management in dense small cells with mobile edge computing. - Jie Xu 001; Yuxuan Sun 001; Lixing Chen; Sheng Zhou 001 (ICC, 2017)

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. - Jie Xu 001; Hang Wu; Lixing Chen; Cong Shen 001 (CoRR, 2017)

E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing. - Jie Xu 001; Yuxuan Sun 001; Lixing Chen; Sheng Zhou 001 (CoRR, 2017)

Collaborative Service Caching for Edge Computing in Dense Small Cell Networks. - Lixing Chen; Jie Xu 001 (CoRR, 2017)

Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing. - Jie Xu 001; Lixing Chen; Shaolei Ren (IEEE Trans. Cogn. Commun. Netw., 2017)

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. - Hang Wu; Lixing Chen; Cong Shen 001; Wujie Wen; Jie Xu 001 (ICC, 2018)

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks. - Jie Xu 001; Lixing Chen; Pan Zhou 001 (INFOCOM, 2018)

Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward. - Lixing Chen; Jie Xu 001; Zhuo Lu (NeurIPS, 2018)

Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach. - Lixing Chen; Jie Xu 001 (CoRR, 2018)

Adaptive Fog Configuration for the Industrial Internet of Things. - Lixing Chen; Pan Zhou 001; Liang Gao 001; Jie Xu 001 (IEEE Trans. Ind. Informatics, 2018)

Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks. - Lixing Chen; Sheng Zhou 001; Jie Xu 001 (IEEE/ACM Trans. Netw., 2018)

Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication. - Jie Xu 001; Lixing Chen; Kun Liu; Cong Shen 001 (IEEE Trans. Wirel. Commun., 2018)

Spatio-Temporal Edge Service Placement: A Bandit Learning Approach. - Lixing Chen; Jie Xu 001; Shaolei Ren; Pan Zhou 001 (IEEE Trans. Wirel. Commun., 2018)

Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. - Yang Bai 010; Lixing Chen; Linqi Song; Jie Xu 001 (MTD@CCS, 2019)

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. - Chengshuai Shi; Lixing Chen; Cong Shen 001; Linqi Song; Jie Xu 001 (GLOBECOM, 2019)

Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback. - Lixing Chen; Jie Xu 001 (INFOCOM, 2019)

Budget-Constrained Edge Service Provisioning With Demand Estimation via Bandit Learning. - Lixing Chen; Jie Xu 001 (IEEE J. Sel. Areas Commun., 2019)

Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks. - Lixing Chen; Zhuo Lu; Pan Zhou 001; Jie Xu 001 (INFOCOM, 2020)

Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache. - Lixing Chen; Linqi Song; Jacob Chakareski; Jie Xu 001 (IEEE Trans. Multim., 2020)

Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game. - Yang Bai 010; Lixing Chen; Linqi Song; Jie Xu 001 (IEEE Trans. Netw. Serv. Manag., 2020)

Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms. - Yang Bai 010; Lixing Chen; Letian Zhang; Mohamed Abdel-Mottaleb; Jie Xu 001 (MASS, 2021)

Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. - Letian Zhang; Lixing Chen; Jie Xu 001 (WWW, 2021)

Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement. - Yang Bai 010; Lixing Chen; Shaolei Ren; Jie Xu 001 (CoRR, 2021)

Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning. - Lixing Chen; Jie Xu 001 (IEEE J. Sel. Areas Commun., 2021)

Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing. - Pan Zhou 001; Shimin Gong; Zichuan Xu; Lixing Chen; Yulai Xie; Changkun Jiang; Xiaofeng Ding 001 (IEEE Trans. Cogn. Commun. Netw., 2021)

Collaborative Service Placement for Edge Computing in Dense Small Cell Networks. - Lixing Chen; Cong Shen 001; Pan Zhou 001; Jie Xu 001 (IEEE Trans. Mob. Comput., 2021)

Multi-Agent Learning Automata for Online Adaptive Control of Large-Scale Traffic Signal Systems. - Xuewei Hou; Lixing Chen; Junhua Tang; Jianhua Li 001 (GLOBECOM, 2022)

Data Poisoning Attack to X-armed Bandits. - Zhi Luo; Youqi Li; Lixing Chen; Zichuan Xu; Pan Zhou 001 (TrustCom, 2022)

Action-Manipulation Attack and Defense to X-Armed Bandits. - Zhi Luo; Youqi Li; Lixing Chen; Zichuan Xu; Pan Zhou 001 (TrustCom, 2022)

Hybrid intrusion detection system based on Dempster-Shafer evidence theory. - Weicheng Qiu; Yinghua Ma; Xiuzhen Chen; Haiyang Yu; Lixing Chen (Comput. Secur., 2022)

Automated Ensemble for Deep Learning Inference on Edge Computing Platforms. - Yang Bai 010; Lixing Chen; Mohamed Abdel-Mottaleb; Jie Xu 001 (IEEE Internet Things J., 2022)

Context-Aware Online Client Selection for Hierarchical Federated Learning. - Zhe Qu; Rui Duan; Lixing Chen; Jie Xu 001; Zhuo Lu; Yao Liu 007 (IEEE Trans. Parallel Distributed Syst., 2022)

Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks. - Jie Xu 001; Heqiang Wang; Lixing Chen (IEEE Trans. Wirel. Commun., 2022)

Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification. - Qinghua Mao; Xi Lin 003; Gaolei Li; Lixing Chen; Yuchen Liu 001; Yuxin Qi; Jianhua Li 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

How to Prevent the Poor Performance Clients for Personalized Federated Learning? - Zhe Qu; Xingyu Li; Xiao Han; Rui Duan; Chengchao Shen; Lixing Chen (CVPR, 2023)

Hierarchical Swarm Learning for Edge-Assisted Collaborative Vehicle Trajectory Prediction. - Xuewei Hou; Lixing Chen; Junhua Tang; Jianhua Li 001; Wu Yang 001 (ICC, 2023)

Swarm Reinforcement Learning for Collaborative Content Caching in Information Centric Networks. - Jiajin Yang; Lixing Chen; Junhua Tang; Jianhua Li 001; Wu Yang 001 (ICC, 2023)

Combining Synchrosqueezing Transform and Encoder-Decoder Classification Network for Modulation Recognition of Underwater Acoustic Communication Signals. - Zixin Wang; Lingji Xu; Lixing Chen; Weihua Jiang; Fanchang Zeng; Xinzhe Chen (ICSPCC, 2023)

Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Guoshun Nan; Pan Zhou 001; Zichuan Xu; Lixing Chen; He Yan; Yu Cheng 001 (ACM Multimedia, 2023)

DPG-DT: Differentially Private Generative Digital Twin for Imbalanced Learning in Industrial IoT. - Siyuan Li 005; Xi Lin 003; Gaolei Li; Lixing Chen; Siyi Liao; Jing Wang; Jianhua Li 001 (MSN, 2023)

NeuE: Automated Neural Network Ensembles for Edge Intelligence. - Yang Bai 010; Lixing Chen; Jie Xu 001 (IEEE Trans. Emerg. Top. Comput., 2023)

Enhancing time-frequency resolution via deep-learning framework. - Zixin Wang; Lixing Chen; Peng Xiao 005; Lingji Xu; Zhenglin Li (IET Signal Process., 2023)

Multicore Federated Learning for Mobile-Edge Computing Platforms. - Yang Bai 010; Lixing Chen; Jianhua Li 001; Jun Wu 001; Pan Zhou 001; Zichuan Xu; Jie Xu 001 (IEEE Internet Things J., 2023)

Automated Customization of On-Device Inference for Quality-of-Experience Enhancement. - Yang Bai 010; Lixing Chen; Shaolei Ren; Jie Xu 001 (IEEE Trans. Computers, 2023)

Near-Optimal and Collaborative Service Caching in Mobile Edge Clouds. - Zichuan Xu; Lizhen Zhou; Sid Chi-Kin Chau; Weifa Liang; Haipeng Dai 001; Lixing Chen; Wenzheng Xu; Qiufen Xia; Pan Zhou 001 (IEEE Trans. Mob. Comput., 2023)

Power of Redundancy: Surplus Client Scheduling for Federated Learning Against User Uncertainties. - Youqi Li; Fan Li 001; Lixing Chen; Liehuang Zhu; Pan Zhou 001; Yu Wang 003 (IEEE Trans. Mob. Comput., 2023)

Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning. - Chenggong Xu; Hongxia Li; Jianping Yang; Yunzhu Peng; Hongyan Cai; Jing Zhou; Wenyi Gu; Lixing Chen (BMC Medical Informatics Decis. Mak., 2023)

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. - Wanfang Su; Lixing Chen; Yang Bai 010; Xi Lin 003; Gaolei Li; Zhe Qu; Pan Zhou 001 (AAAI, 2024)

Trading Trust for Privacy: Socially-Motivated Personalized Privacy-Preserving Collaborative Learning in IoT. - Yuliang Chen; Xi Lin 003; Gaolei Li; Lixing Chen; Jing Wang; Siyi Liao; Jianhua Li 001 (CSCWD, 2024)

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack. - Mingyu Yang; Daizong Liu; Keke Tang; Pan Zhou 001; Lixing Chen; Junyang Chen 001 (ECCV (30), 2024)

Learning-Based DApp Task Scheduling for Elastic Hybrid Computing in Edge Web 3.0. - Xichun Cai; Lixing Chen; Yang Bai 010; Xi Lin 003; Gaolei Li; Jianhua Li 001 (ICC, 2024)

Scale Wisely, Secure Wholly: P2P Swarm Learning Over Consortium Blockchain in Edge Networks. - Feng Gao; Lixing Chen; Quanhai Zhang; Gaolei Li; Xi Lin 003; Yang Bai 010; Jianhua Li 001 (ICC, 2024)

Unveiling the Dynamics of Blended Learning A Comprehensive Exploration into Adaptability Levels and Influential Factors among Students in Small Rural Schools. - Lixing Chen; Wenlan Zhang; Mengyang sun; Kejun Zhuang; Chunmei Yang (ICFET, 2024)

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 (ICML, 2024)

Adaptively Compressed Swarm Learning for Distributed Traffic Prediction over IoV-Web3.0. - Xin Song; Lixing Chen; Junhua Tang; Jianhua Li 001; Yang Bai 010; Wu Yang 001 (IJCNN, 2024)

Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language. - Xiang Fang; Wanlong Fang; Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001; Renfu Li; Zichuan Xu; Lixing Chen; Panpan Zheng; Yu Cheng 001 (ACM Multimedia, 2024)

Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. - Hua Ding; Lixing Chen; Shenghong Li 001; Yang Bai 010; Pan Zhou 001; Zhe Qu (WWW, 2024)

Fast and practical intrusion detection system based on federated learning for VANET. - Xiuzhen Chen; Weicheng Qiu; Lixing Chen; Yinghua Ma; Jin Ma (Comput. Secur., 2024)

Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. - Jing Wu 016; Qimei Chen; Hao Jiang 010; Haozhao Wang; Yulai Xie; Wenzheng Xu; Pan Zhou 001; Zichuan Xu; Lixing Chen; Beibei Li 002; Xiumin Wang; Dapeng Oliver Wu (IEEE Trans. Netw. Sci. Eng., 2024)

Multiple synchro-tuning chirplet transform. - Lingji Xu; Lixing Chen; Zixin Wang; Weihua Jiang; Zhenglin Li (Digit. Signal Process., 2024)

Privacy-Preserving Blockchained Edge Resource Auction With Fraud Resistance. - Lixing Chen; Feng Gao; Yang Bai 010; Jun Wu 001; Pan Zhou 001; Zichuan Xu (IEEE Trans. Netw. Serv. Manag., 2024)

On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed With Graph Comprehension. - Lixing Chen; Yang Bai 010; Pan Zhou 001; Youqi Li; Zhe Qu; Jie Xu 001 (IEEE Trans. Mob. Comput., 2024)

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? - Wenjun Ding; Ying An; Lixing Chen; Shichao Kan; Fan Wu; Zhe Qu (AAAI, 2025)

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. - Yutong Zhang 003; Lixing Chen; Shenghong Li 001; Nan Cao 001; Yang Shi 007; Jiaxin Ding 001; Zhe Qu; Pan Zhou 001; Yang Bai 010 (KDD (1), 2025)

P3FL: A Privacy-Preserving Personalized Federated Learning Framework for Collaborative Smart Home Predictions and Decision-Making. - Ye Wang; Hansong Xu; Kun Hua; Yang Bai 010; Jianqi Yu; Wenyin Zhu; Lixing Chen; Bo Yang 006; Xinping Guan (IEEE Internet Things J., 2025)

Multimodal Online Federated Learning with Modality Missing in Internet of Things. - Heqiang Wang; Xiang Liu; Xiaoxiong Zhong; Lixing Chen; Fangming Liu; Weizhe Zhang (CoRR, 2025)

Automating Safety Enhancement for LLM-based Agents with Synthetic Risk Scenarios. - Xueyang Zhou; Weidong Wang; Lin Lu; Jiawen Shi; Guiyao Tie; Yongtian Xu; Lixing Chen; Pan Zhou 001; Neil Zhenqiang Gong; Lichao Sun 001 (CoRR, 2025)

Through Diverse Lenses: Multimodal Collaborative Perception for Indoor Scenes in Smart Home Systems. - Ye Wang; Lixing Chen; Yang Bai 010; Jianqi Yu; Wenyin Zhu; Bo Yang 006; Xinping Guan (IEEE Internet Things J., 2025)

Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss. - Naifu Feng; Lixing Chen; Junhua Tang; Hua Ding; Jianhua Li; Yang Bai (CoRR, 2025)

HXRL: Explainable DRL-Enhanced Reliable VR Video Streaming for Immersive Smart Healthcare. - Ye Wang; Siyuan Li 005; Xi Lin 003; Yang Bai 010; Jianqi Yu; Lixing Chen; Bo Yang 006; Xinping Guan (IEEE Internet Things J., 2025)