Exploiting Multiuser Diversity in OFDMA Wireless Mesh Networks by Fractional Spatial Reuse. - Jie Xu 001; Yiqun Wu; Zhisheng Niu; Jinri Huang (ICC, 2010)

Designing Exchange for Online Communities - Jie Xu 001; Mihaela van der Schaar; William R. Zame (CoRR, 2011)

Token economy for online exchange systems. - Jie Xu 001; William R. Zame; Mihaela van der Schaar (AAMAS, 2012)

Sustaining cooperation in social exchange networks with incomplete global information. - Jie Xu 001; Mihaela van der Schaar (CDC, 2012)

Token-Based Incentive Protocol Design for Online Exchange Systems. - Jie Xu 001; William R. Zame; Mihaela van der Schaar (GAMENETS, 2012)

Designing incentives for wireless relay networks using tokens. - Jie Xu 001; Mihaela van der Schaar (WiOpt, 2012)

Designing Rating Systems to Promote Mutual Security for Interconnected Networks - Jie Xu 001; Yu Zhang 025; Mihaela van der Schaar (CoRR, 2012)

Social Norm Design for Information Exchange Systems with Limited Observations. - Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2012)

Learning optimal classifier chains for real-time big data mining. - Jie Xu 001; Cem Tekin; Mihaela van der Schaar (Allerton, 2013)

Learning relaying strategies in cellular D2D networks with token-based incentives. - Nicholas Mastronarde; Viral Patel; Jie Xu 001; Mihaela van der Schaar (GLOBECOM Workshops, 2013)

Learning perfect coordination with minimal feedback in wireless multi-access communications. - William R. Zame; Jie Xu 001; Mihaela van der Schaar (GLOBECOM, 2013)

Rating systems for enhanced cyber-security investments. - Jie Xu 001; Yu Zhang 025; Mihaela van der Schaar (ICASSP, 2013)

A Design Methodology for Distributed Adaptive Stream Mining Systems. - Stephen Won; Inkeun Cho; Kishan Sudusinghe; Jie Xu 001; Yu Zhang 025; Mihaela van der Schaar; Shuvra S. Bhattacharyya (ICCS, 2013)

To Relay or Not to Relay: Learning Relaying Strategies in Cellular Device-to-Device Networks. - Nicholas Mastronarde; Viral Patel; Jie Xu 001; Mihaela van der Schaar (CoRR, 2013)

Information Sharing in Networks of Strategic Agents. - Jie Xu 001; Yangbo Song; Mihaela van der Schaar (CoRR, 2013)

Winning the Lottery: Learning Perfect Coordination With Minimal Feedback. - William R. Zame; Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2013)

Token System Design for Autonomic Wireless Relay Networks. - Jie Xu 001; Mihaela van der Schaar (IEEE Trans. Commun., 2013)

Interference-Aware Relay Selection Scheme for Two-Hop Relay Networks With Multiple Source-Destination Pairs. - Sheng Zhou 001; Jie Xu 001; Zhisheng Niu (IEEE Trans. Veh. Technol., 2013)

Network evolution with incomplete information and learning. - Jie Xu 001; Simpson Zhang; Mihaela van der Schaar (Allerton, 2014)

Silence is gold: Strategic small cell interference management using tokens. - Cong Shen 001; Jie Xu 001; Mihaela van der Schaar (GLOBECOM, 2014)

Context-driven online learning for activity classification in wireless health. - Jie Xu 001; James Y. Xu; Linqi Song; Gregory J. Pottie; Mihaela van der Schaar (GLOBECOM, 2014)

Incentivizing information sharing in networks. - Jie Xu 001; Yangbo Song; Mihaela van der Schaar (ICASSP, 2014)

Context-Aware Online Spatiotemporal Traffic Prediction. - Jie Xu 001; Dingxiong Deng; Ugur Demiryurek; Cyrus Shahabi; Mihaela van der Schaar (ICDM Workshops, 2014)

Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks. - Jie Xu 001; Yiannis Andreopoulos; Yuanzhang Xiao; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2014)

Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks. - William R. Zame; Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2014)

Sharing in Networks of Strategic Agents. - Jie Xu 001; Yangbo Song; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2014)

Incentive design for heterogeneous user-generated content networks. - Jie Xu 001; Mihaela van der Schaar (SIGMETRICS Perform. Evaluation Rev., 2014)

Online Transfer Learning for Differential Diagnosis Determination. - Jie Xu 001; Daby M. Sow; Deepak S. Turaga; Mihaela van der Schaar (AAAI Workshop: WWW and Public Health Intelligence, 2015)

Personalized Grade Prediction: A Data Mining Approach. - Yannick Meier; Jie Xu 001; Onur Atan; Mihaela van der Schaar (ICDM, 2015)

Timely video popularity forecasting based on social networks. - Jie Xu 001; Mihaela van der Schaar; Jiangchuan Liu; Haitao Li 005 (INFOCOM, 2015)

Caring Analytics for Adults With Special Needs. - Marilyn Wolf; Mihaela van der Schaar; Honggab Kim; Jie Xu 001 (IEEE Des. Test, 2015)

Incentive-compatible demand-side management for smart grids based on review strategies. - Jie Xu 001; Mihaela van der Schaar (EURASIP J. Adv. Signal Process., 2015)

Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks. - Cong Shen 001; Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2015)

Efficient Working and Shirking in Information Sharing Networks. - Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2015)

Mining the Situation: Spatiotemporal Traffic Prediction With Big Data. - Jie Xu 001; Dingxiong Deng; Ugur Demiryurek; Cyrus Shahabi; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2015)

Forecasting Popularity of Videos Using Social Media. - Jie Xu 001; Mihaela van der Schaar; Jiangchuan Liu; Haitao Li 005 (IEEE J. Sel. Top. Signal Process., 2015)

Distributed Multi-Agent Online Learning Based on Global Feedback. - Jie Xu 001; Cem Tekin; Simpson Zhang; Mihaela van der Schaar (IEEE Trans. Signal Process., 2015)

Relaxation for Constrained Decentralized Markov Decision Processes: (Extended Abstract). - Jie Xu 001 (AAMAS, 2016)

DARC: Timely Classification with Randomly Delayed Features. - Jie Xu 001; Qi Cai; Cong Shen 001 (GLOBECOM, 2016)

Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing. - Jie Xu 001; Shaolei Ren (GLOBECOM, 2016)

Popularity-driven content caching. - Suoheng Li; Jie Xu 001; Mihaela van der Schaar; Weiping Li (INFOCOM, 2016)

Stochastic Epidemic Networks with Strategic Link Formation. - Jie Xu 001 (CoRR, 2016)

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)

Bits Learning: User-Adjustable Privacy Versus Accuracy in Internet Traffic Classification. - Zhenlong Yuan; Jie Xu 001; Yibo Xue; Mihaela van der Schaar (IEEE Commun. Lett., 2016)

Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors. - Jie Xu 001; Linqi Song; James Y. Xu; Gregory J. Pottie; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2016)

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. - Linqi Song; William Hsu; Jie Xu 001; Mihaela van der Schaar (IEEE J. Biomed. Health Informatics, 2016)

To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks. - Nicholas Mastronarde; Viral Patel; Jie Xu 001; Lingjia Liu 001; Mihaela van der Schaar (IEEE Trans. Mob. Comput., 2016)

Trend-Aware Video Caching Through Online Learning. - Suoheng Li; Jie Xu 001; Mihaela van der Schaar; Weiping Li (IEEE Trans. Multim., 2016)

Personalized Course Sequence Recommendations. - Jie Xu 001; Tianwei Xing; Mihaela van der Schaar (IEEE Trans. Signal Process., 2016)

Predicting Grades. - Yannick Meier; Jie Xu 001; Onur Atan; Mihaela van der Schaar (IEEE Trans. Signal Process., 2016)

Progressive Prediction of Student Performance in College Programs. - Jie Xu 001; Yuli Han; Daniel Marcu; Mihaela van der Schaar (AAAI, 2017)

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)

Social Intimacy Based IoT Services Mining of Massive Data. - Anni Zhou; Yinan Feng; Pan Zhou 001; Jie Xu 001 (ICDM Workshops, 2017)

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

A Contextual Bandit Approach for Stream-Based Active Learning. - Linqi Song; Jie Xu 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)

EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks. - Yuxuan Sun 001; Sheng Zhou 001; Jie Xu 001 (IEEE J. Sel. Areas Commun., 2017)

A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs. - Jie Xu 001; Kyeong H. Moon; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 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)

DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. - Zihao Liu; Tao Liu 023; Wujie Wen; Lei Jiang 001; Jie Xu 001; Yanzhi Wang; Gang Quan (DAC, 2018)

Energy Efficiency Analysis of UAV-Assisted mmWave HetNets. - Syed Naqvi; Jacob Chakareski; Nicholas Mastronarde; Jie Xu 001; Fatemeh Afghah; Abolfazl Razi (ICC, 2018)

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

Course recommendation of MOOC with big data support: A contextual online learning approach. - Yifan Hou; Pan Zhou 001; Jie Xu 001; Dapeng Oliver Wu (INFOCOM Workshops, 2018)

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

Dynamic Edge Caching with Popularity Drifting. - Linqi Song; Jie Xu 001 (ITW, 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)

Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users. - Letian Zhang; 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)

Privacy-Preserving MEC-Enabled Contextual Online Learning via SDN for Service Selection in IoT. - Difan Mu; Pan Zhou 001; Qinghua Li; Ruixuan Li 001; Jie Xu 001 (MASS, 2019)

The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost. - Mengwei Yang; Linqi Song; Jie Xu 001; Congduan Li; Guozhen Tan (CoRR, 2019)

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

An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks. - Jacob Chakareski; Syed Naqvi; Nicholas Mastronarde; Jie Xu 001; Fatemeh Afghah; Abolfazl Razi (IEEE Trans. Green Commun. Netw., 2019)

Video Big Data Retrieval Over Media Cloud: A Context-Aware Online Learning Approach. - Yinan Feng; Pan Zhou 001; Jie Xu 001; Shouling Ji; Dapeng Wu 001 (IEEE Trans. Multim., 2019)

Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing. - Pan Zhou 001; Kehao Wang 001; Jie Xu 001; Dapeng Oliver Wu (IEEE Trans. Multim., 2019)

Toward Optimal Adaptive Online Shortest Path Routing With Acceleration Under Jamming Attack. - Pan Zhou 001; Jie Xu 001; Wei Wang 021; Yuchong Hu; Dapeng Oliver Wu; Shouling Ji (IEEE/ACM Trans. Netw., 2019)

Fooling Edge Computation Offloading via Stealthy Interference Attack. - Letian Zhang; Jie Xu 001 (SEC, 2020)

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

Adversarial machine learning based partial-model attack in IoT. - Zhengping Luo 001; Shangqing Zhao; Zhuo Lu; Yalin E. Sagduyu; Jie Xu 001 (WiseML@WiSec, 2020)

Quantile Context-Aware Social IoT Service Big Data Recommendation With D2D Communication. - Yifan Yang; Jie Xu 001; Zichuan Xu; Pan Zhou 001; Tie Qiu 001 (IEEE Internet Things J., 2020)

Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach. - Pan Zhou 001; Jie Xu 001; Wei Wang 021; Changkun Jiang; Kehao Wang 001; Jia Hu 001 (IEEE Trans. Cogn. Commun. Netw., 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)

Differential Security Game in Heterogeneous Device-to-Device Offloading Network Under Epidemic Risks. - Letian Zhang; Jie Xu 001 (IEEE Trans. Netw. Sci. Eng., 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)

Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing. - Zhengping Luo 001; Shangqing Zhao; Rui Duan; Zhuo Lu; Yalin E. Sagduyu; Jie Xu 001 (WiseML@WiSec, 2021)

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

Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. - Cong Shen 001; Jie Xu 001; Sihui Zheng; Xiang Chen 007 (IEEE Commun. Mag., 2021)

Personalized Education in the AI Era: What to Expect Next? - Setareh Maghsudi; Andrew S. Lan; Jie Xu 001; Mihaela van der Schaar (CoRR, 2021)

FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning. - Jieming Bian; Zhu Fu; Jie Xu 001 (CoRR, 2021)

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

An effective design method for mechanical metamaterials with negative Poisson's ratios. - Jie Xu 001; Mi Xiao; Hao Li 017; Liang Gao 001 (Int. J. Manuf. Res., 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)

Personalized Education in the Artificial Intelligence Era: What to Expect Next. - Setareh Maghsudi; Andrew S. Lan; Jie Xu 001; Mihaela van der Schaar (IEEE Signal Process. Mag., 2021)

How to Test the Randomness From the Wireless Channel for Security? - Zhe Qu; Shangqing Zhao; Jie Xu 001; Zhuo Lu; Yao Liu 007 (IEEE Trans. Inf. Forensics Secur., 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)

Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective. - Jie Xu 001; Heqiang Wang (IEEE Trans. Wirel. Commun., 2021)

On Federated Learning with Energy Harvesting Clients. - Cong Shen 001; Jing Yang 002; Jie Xu 001 (ICASSP, 2022)

Mobility Improves the Convergence of Asynchronous Federated Learning. - Jieming Bian; Jie Xu 001 (CoRR, 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)

Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach. - Bingqian Lu; Jianyi Yang 001; Jie Xu 001; Shaolei Ren (IEEE Internet Things J., 2022)

Learning the Optimal Partition for Collaborative DNN Training With Privacy Requirements. - Letian Zhang; Jie Xu 001 (IEEE Internet Things J., 2022)

When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing. - Zhengping Luo 001; Shangqing Zhao; Zhuo Lu; Jie Xu 001; Yalin E. Sagduyu (IEEE Trans. Mob. Comput., 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)

Mobility-Assisted Federated Learning for Vehicular Edge Computing. - Jieming Bian; Jie Xu 001 (ACSSC, 2023)

Federated Learning via Indirect Server-Client Communications. - Jieming Bian; Cong Shen 001; Jie Xu 001 (CISS, 2023)

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks. - Jieming Bian; Jie Xu 001 (UbiComp/ISWC Adjunct, 2023)

CPD 2023: The 6th International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing. - Yuanzhang Xiao; Jie Xu 001; Weiwei Jiang 003 (UbiComp/ISWC Adjunct, 2023)

Adversarial Group Linear Bandits and Its Application to Collaborative Edge Inference. - Yin Huang; Letian Zhang; Jie Xu 001 (INFOCOM, 2023)

E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation. - Letian Zhang; Jie Xu 001 (IoTDI, 2023)

E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation. - Letian Zhang; Jie Xu 001 (CoRR, 2023)

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning. - Jieming Bian; Cong Shen 001; Jie Xu 001 (CoRR, 2023)

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers. - Jieming Bian; Shaolei Ren; Jie Xu 001 (CoRR, 2023)

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

Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost. - Mengwei Yang; Shuqi Liu 001; Jie Xu 001; Guozhen Tan; Congduan Li; Linqi Song (J. Frankl. Inst., 2023)

On the Convergence of Multi-Server Federated Learning With Overlapping Area. - Zhe Qu; Xingyu Li; Jie Xu 001; Bo Tang 011; Zhuo Lu; Yao Liu 007 (IEEE Trans. Mob. Comput., 2023)

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱. - Jieming Bian; Lei Wang 199; Shaolei Ren; Jie Xu 001 (e-Energy, 2024)

Fedmm: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology. - Yuanzhe Peng; Jieming Bian; Jie Xu 001 (ICASSP, 2024)

Friends to Help: Saving Federated Learning from Client Dropout. - Heqiang Wang; Jie Xu 001 (ICASSP, 2024)

Federated Learning with Instance-Dependent Noisy Label. - Lei Wang 199; Jieming Bian; Jie Xu 001 (ICASSP, 2024)

Adaptive User-Centric Entanglement Routing in Quantum Data Networks. - Lei Wang 199; Jieming Bian; Jie Xu 001 (ICDCS, 2024)

Adversarial Combinatorial Bandits with Switching Cost and Arm Selection Constraints. - Yin Huang; Qingsong Liu 001; Jie Xu 001 (INFOCOM, 2024)

Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics. - Wenwei Zhao; Xiaowen Li; Shangqing Zhao; Jie Xu 001; Yao Liu 007; Zhuo Lu (INFOCOM, 2024)

Joint Horizontal and Vertical Federated Learning for Multimodal IoT. - Yuanzhe Peng; Zhuo Lu; Jie Xu 001 (MobiCom, 2024)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains. - Lei Wang 199; Jieming Bian; Letian Zhang; Chen Chen 001; Jie Xu 001 (NeurIPS, 2024)

Learning the Optimal Path and DNN Partition for Collaborative Edge Inference. - Yin Huang; Letian Zhang; Jie Xu 001 (CoRR, 2024)

Accelerating Hybrid Federated Learning Convergence Under Partial Participation. - Jieming Bian; Lei Wang 199; Kun Yang 011; Cong Shen 001; Jie Xu 001 (IEEE Trans. Signal Process., 2024)

On the Local Cache Update Rules in Streaming Federated Learning. - Heqiang Wang; Jieming Bian; Jie Xu 001 (IEEE Internet Things J., 2024)

CrossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing. - Letian Zhang; Zhuo Lu; Linqi Song; Jie Xu 001 (IEEE Trans. Mob. Comput., 2024)

Bandwidth Allocation for Federated Learning With Wireless Providers and Cost Constraints. - Jiahao Xue; Zhe Qu; Jie Xu 001; Yao Liu 007; Zhuo Lu (IEEE Trans. Mob. Comput., 2024)

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying. - Jieming Bian; Jie Xu 001 (IEEE Trans. Veh. Technol., 2024)

Hybrid Federated Learning for Multimodal IoT Systems. - Yuanzhe Peng; Yusen Wu; Jieming Bian; Jie Xu 001 (IEEE Internet Things J., 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)

IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment. - Letian Zhang; Ming Li 010; Chen Chen 001; Jie Xu 001 (CVPR Workshops, 2025)

Indirect-Communication Federated Learning via Mobile Transporters. - Jieming Bian; Cong Shen 001; Mingzhe Chen; Jie Xu 001 (IEEE Trans. Mob. Comput., 2025)

Online Vertical Federated Learning for Cooperative Spectrum Sensing. - Heqiang Wang; Jie Xu 001 (IEEE Trans. Cogn. Commun. Netw., 2025)