Jie Xu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 119

Top Venues

CoRR

INFOCOM

IEEE J. Sel. Areas Commun.

GLOBECOM

Publications

Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
Accelerating Hybrid Federated Learning Convergence Under Partial Participation. IEEE Trans. Signal Process. 72 (2024)
Yuanzhe Peng, Jieming Bian, Jie Xu
Fedmm: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology. ICASSP (2024)
Heqiang Wang, Jieming Bian, Jie Xu
On the Local Cache Update Rules in Streaming Federated Learning. IEEE Internet Things J. 11 (6) (2024)
Jieming Bian, Jie Xu
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying. IEEE Trans. Veh. Technol. 73 (7) (2024)
Heqiang Wang, Jie Xu
Friends to Help: Saving Federated Learning from Client Dropout. ICASSP (2024)
Jiahao Xue, Zhe Qu, Jie Xu, Yao Liu, Zhuo Lu
Bandwidth Allocation for Federated Learning With Wireless Providers and Cost Constraints. IEEE Trans. Mob. Comput. 23 (6) (2024)
Letian Zhang, Zhuo Lu, Linqi Song, Jie Xu
CrossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing. IEEE Trans. Mob. Comput. 23 (5) (2024)
Yin Huang, Qingsong Liu, Jie Xu
Adversarial Combinatorial Bandits with Switching Cost and Arm Selection Constraints. INFOCOM (2024)
Yuanzhe Peng, Jieming Bian, Jie Xu
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology. CoRR (2024)
Yang Bai, Lixing Chen, Shaolei Ren, Jie Xu
Automated Customization of On-Device Inference for Quality-of-Experience Enhancement. IEEE Trans. Computers 72 (5) (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 Things J. 10 (7) (2023)
Yang Bai, Lixing Chen, Jie Xu
NeuE: Automated Neural Network Ensembles for Edge Intelligence. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Jieming Bian, Cong Shen, Jie Xu
Federated Learning via Indirect Server-Client Communications. CISS (2023)
Heqiang Wang, Jie Xu
Online Vertical Federated Learning for Cooperative Spectrum Sensing. CoRR (2023)
Jieming Bian, Shaolei Ren, Jie Xu
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers. CoRR (2023)
Jieming Bian, Cong Shen, Jie Xu
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning. CoRR (2023)
Jieming Bian, Jie Xu
Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks. UbiComp/ISWC Adjunct (2023)
Yin Huang, Letian Zhang, Jie Xu
Adversarial Group Linear Bandits and Its Application to Collaborative Edge Inference. INFOCOM (2023)
Letian Zhang, Jie Xu
Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation. CoRR (2023)
Mengwei Yang, Shuqi Liu, Jie Xu, Guozhen Tan, Congduan Li, Linqi Song
Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost. J. Frankl. Inst. 360 (9) (2023)
Heqiang Wang, Jieming Bian, Jie Xu
On the Local Cache Update Rules in Streaming Federated Learning. CoRR (2023)
Yuanzhang Xiao, Jie Xu, Weiwei Jiang
CPD 2023: The 6th International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing. UbiComp/ISWC Adjunct (2023)
Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu
On the Convergence of Multi-Server Federated Learning With Overlapping Area. IEEE Trans. Mob. Comput. 22 (11) (2023)
Bingqian Lu, Jianyi Yang, Jie Xu, Shaolei Ren
Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach. IEEE Internet Things J. 9 (21) (2022)
Jie Xu, Heqiang Wang, Lixing Chen
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks. IEEE Trans. Wirel. Commun. 21 (4) (2022)
Heqiang Wang, Jie Xu
Friends to Help: Saving Federated Learning from Client Dropout. CoRR (2022)
Cong Shen, Jing Yang, Jie Xu
On Federated Learning with Energy Harvesting Clients. CoRR (2022)
Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu
On the Convergence of Multi-Server Federated Learning with Overlapping Area. CoRR (2022)
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Jie Xu, Yalin E. Sagduyu
When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing. IEEE Trans. Mob. Comput. 21 (5) (2022)
Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu
Context-Aware Online Client Selection for Hierarchical Federated Learning. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Cong Shen, Jing Yang, Jie Xu
On Federated Learning with Energy Harvesting Clients. ICASSP (2022)
Yang Bai, Lixing Chen, Mohamed Abdel-Mottaleb, Jie Xu
Automated Ensemble for Deep Learning Inference on Edge Computing Platforms. IEEE Internet Things J. 9 (6) (2022)
Letian Zhang, Jie Xu
Learning the Optimal Partition for Collaborative DNN Training With Privacy Requirements. IEEE Internet Things J. 9 (13) (2022)
Lixing Chen, Jie Xu
Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Jie Xu, Heqiang Wang
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective. IEEE Trans. Wirel. Commun. 20 (2) (2021)
Zhe Qu, Shangqing Zhao, Jie Xu, Zhuo Lu, Yao Liu
How to Test the Randomness from the Wireless Channel for Security? CoRR (2021)
Letian Zhang, Lixing Chen, Jie Xu
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. WWW (2021)
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. CoRR (2021)
Letian Zhang, Lixing Chen, Jie Xu
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. CoRR (2021)
Zhengping Luo, Shangqing Zhao, Rui Duan, Zhuo Lu, Yalin E. Sagduyu, Jie Xu
Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing. WiseML@WiSec (2021)
Jie Xu, Heqiang Wang, Lixing Chen
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks. CoRR (2021)
Lixing Chen, Cong Shen, Pan Zhou, Jie Xu
Collaborative Service Placement for Edge Computing in Dense Small Cell Networks. IEEE Trans. Mob. Comput. 20 (2) (2021)
Zhe Qu, Shangqing Zhao, Jie Xu, Zhuo Lu, Yao Liu
How to Test the Randomness From the Wireless Channel for Security? IEEE Trans. Inf. Forensics Secur. 16 (2021)
Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar
Personalized Education in the Artificial Intelligence Era: What to Expect Next. IEEE Signal Process. Mag. 38 (3) (2021)
Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar
Personalized Education in the AI Era: What to Expect Next? CoRR (2021)
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. IEEE Commun. Mag. 59 (5) (2021)
Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu
Context-Aware Online Client Selection for Hierarchical Federated Learning. CoRR (2021)
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu
Adversarial Machine Learning based Partial-model Attack in IoT. CoRR (2020)
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu
Adversarial machine learning based partial-model attack in IoT. WiseML@WiSec (2020)
Jie Xu, Heqiang Wang
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective. CoRR (2020)
Lixing Chen, Zhuo Lu, Pan Zhou, Jie Xu
Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks. INFOCOM (2020)
Pan Zhou, Jie Xu, Wei Wang, Changkun Jiang, Kehao Wang, Jia Hu
Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach. IEEE Trans. Cogn. Commun. Netw. 6 (2) (2020)
Yang Bai, Lixing Chen, Linqi Song, Jie Xu
Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game. IEEE Trans. Netw. Serv. Manag. 17 (2) (2020)
Letian Zhang, Jie Xu
Fooling Edge Computation Offloading via Stealthy Interference Attack. SEC (2020)
Lixing Chen, Linqi Song, Jacob Chakareski, Jie Xu
Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache. IEEE Trans. Multim. 22 (2) (2020)
Letian Zhang, Jie Xu
Differential Security Game in Heterogeneous Device-to-Device Offloading Network Under Epidemic Risks. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Yifan Yang, Jie Xu, Zichuan Xu, Pan Zhou, Tie Qiu
Quantile Context-Aware Social IoT Service Big Data Recommendation With D2D Communication. IEEE Internet Things J. 7 (6) (2020)
Pan Zhou, Kehao Wang, Jie Xu, Dapeng Oliver Wu
Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing. IEEE Trans. Multim. 21 (3) (2019)
Yang Bai, Lixing Chen, Linqi Song, Jie Xu
Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. MTD@CCS (2019)
Letian Zhang, Linqi Song, Jie Xu
Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users. GLOBECOM (2019)
Lixing Chen, Jie Xu
Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback. INFOCOM (2019)
Difan Mu, Pan Zhou, Qinghua Li, Ruixuan Li, Jie Xu
Privacy-Preserving MEC-Enabled Contextual Online Learning via SDN for Service Selection in IoT. MASS (2019)
Lixing Chen, Jie Xu
Budget-Constrained Edge Service Provisioning With Demand Estimation via Bandit Learning. IEEE J. Sel. Areas Commun. 37 (10) (2019)
Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu
Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. GLOBECOM (2019)
Jacob Chakareski, Syed Naqvi, Nicholas Mastronarde, Jie Xu, Fatemeh Afghah, Abolfazl Razi
An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks. IEEE Trans. Green Commun. Netw. 3 (1) (2019)
Pan Zhou, Jie Xu, Wei Wang, Yuchong Hu, Dapeng Oliver Wu, Shouling Ji
Toward Optimal Adaptive Online Shortest Path Routing With Acceleration Under Jamming Attack. IEEE/ACM Trans. Netw. 27 (5) (2019)
Lixing Chen, Jie Xu
Budget-constrained Edge Service Provisioning with Demand Estimation via Bandit Learning. CoRR (2019)
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Jie Xu, Yalin E. Sagduyu
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing. CoRR (2019)
Yinan Feng, Pan Zhou, Jie Xu, Shouling Ji, Dapeng Wu
Video Big Data Retrieval Over Media Cloud: A Context-Aware Online Learning Approach. IEEE Trans. Multim. 21 (7) (2019)
Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost. CoRR (2019)
Lixing Chen, Jie Xu, Shaolei Ren, Pan Zhou
Spatio-Temporal Edge Service Placement: A Bandit Learning Approach. IEEE Trans. Wirel. Commun. 17 (12) (2018)
Syed Naqvi, Jacob Chakareski, Nicholas Mastronarde, Jie Xu, Fatemeh Afghah, Abolfazl Razi
Energy Efficiency Analysis of UAV-Assisted mmWave HetNets. ICC (2018)
Lixing Chen, Jie Xu, Zhuo Lu
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward. NeurIPS (2018)
Lixing Chen, Jie Xu, Shaolei Ren, Pan Zhou
Spatio-temporal Edge Service Placement: A Bandit Learning Approach. CoRR (2018)
Yifan Hou, Pan Zhou, Jie Xu, Dapeng Oliver Wu
Course recommendation of MOOC with big data support: A contextual online learning approach. INFOCOM Workshops (2018)
Lixing Chen, Pan Zhou, Liang Gao, Jie Xu
Adaptive Fog Configuration for the Industrial Internet of Things. CoRR (2018)
Lixing Chen, Pan Zhou, Liang Gao, Jie Xu
Adaptive Fog Configuration for the Industrial Internet of Things. IEEE Trans. Ind. Informatics 14 (10) (2018)
Jie Xu, Lixing Chen, Pan Zhou
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks. INFOCOM (2018)
Jie Xu, Lixing Chen, Kun Liu, Cong Shen
Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication. IEEE Trans. Wirel. Commun. 17 (9) (2018)
Jie Xu, Lixing Chen, Pan Zhou
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks. CoRR (2018)
Linqi Song, Jie Xu
Dynamic Edge Caching with Popularity Drifting. CoRR (2018)
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework. CoRR (2018)
Linqi Song, Jie Xu
Dynamic Edge Caching with Popularity Drifting. ITW (2018)
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. DAC (2018)
Lixing Chen, Sheng Zhou, Jie Xu
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks. IEEE/ACM Trans. Netw. 26 (4) (2018)
Hang Wu, Lixing Chen, Cong Shen, Wujie Wen, Jie Xu
Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. ICC (2018)
Lixing Chen, Jie Xu
Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach. CoRR (2018)
Lixing Chen, Sheng Zhou, Jie Xu
Energy Efficient Mobile Edge Computing in Dense Cellular Networks. CoRR (2017)
Anni Zhou, Yinan Feng, Pan Zhou, Jie Xu
Social Intimacy Based IoT Services Mining of Massive Data. ICDM Workshops (2017)
Jie Xu, Lixing Chen, Shaolei Ren
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing. IEEE Trans. Cogn. Commun. Netw. 3 (3) (2017)
Jie Xu, Kyeong H. Moon, Mihaela van der Schaar
A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs. IEEE J. Sel. Top. Signal Process. 11 (5) (2017)
Lixing Chen, Jie Xu
Socially trusted collaborative edge computing in ultra dense networks. SEC (2017)
Jie Xu, Yuxuan Sun, Lixing Chen, Sheng Zhou
E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing. CoRR (2017)
Lixing Chen, Sheng Zhou, Jie Xu
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks. CoRR (2017)
Yuxuan Sun, Sheng Zhou, Jie Xu
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks. IEEE J. Sel. Areas Commun. 35 (11) (2017)
Lixing Chen, Jie Xu, Sheng Zhou
Computation Peer Offloading in Mobile Edge Computing with Energy Budgets. GLOBECOM (2017)
Linqi Song, Jie Xu
A Contextual Bandit Approach for Stream-Based Active Learning. CoRR (2017)
Jie Xu, Yuxuan Sun, Lixing Chen, Sheng Zhou
: Energy efficient mobility management in dense small cells with mobile edge computing. ICC (2017)
Yuxuan Sun, Sheng Zhou, Jie Xu
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks. CoRR (2017)
Lixing Chen, Sheng Zhou, Jie Xu
Energy efficient mobile edge computing in dense cellular networks. ICC (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Xu