On Scaling Perturbation Based Privacy-Preserving Schemes in Smart Metering Systems. - Xuebin Ren; Xinyu Yang 001; Jie Lin 002; Qingyu Yang; Wei Yu 002 (ICCCN, 2013)

A novel temporal perturbation based privacy-preserving scheme for real-time monitoring systems. - Xinyu Yang 001; Xuebin Ren; Shusen Yang; Julie A. McCann (Comput. Networks, 2015)

High-Dimensional Crowdsourced Data Distribution Estimation with Local Privacy. - Xuebin Ren; Chia-Mu Yu; Weiren Yu; Shusen Yang; Xinyu Yang 001; Julie A. McCann (CIT, 2016)

On Binary Decomposition Based Privacy-Preserving Aggregation Schemes in Real-Time Monitoring Systems. - Xinyu Yang 001; Xuebin Ren; Jie Lin 002; Wei Yu 002 (IEEE Trans. Parallel Distributed Syst., 2016)

Copula-Based Multi-Dimensional Crowdsourced Data Synthesis and Release with Local Privacy. - Xinyu Yang 001; Teng Wang; Xuebin Ren; Wei Yu 002 (GLOBECOM, 2017)

LoPub: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy. - Xuebin Ren; Chia-Mu Yu; Weiren Yu; Shusen Yang; Xinyu Yang 001; Julie A. McCann; Philip S. Yu (IEEE Trans. Inf. Forensics Secur., 2018)

Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. - Teng Wang; Jun Zhao 007; Han Yu 001; Jinyan Liu; Xinyu Yang 001; Xuebin Ren; Shuyu Shi (CIKM, 2019)

On Privacy Protection of Latent Dirichlet Allocation Model Training. - Fangyuan Zhao; Xuebin Ren; Shusen Yang; Xinyu Yang 001 (IJCAI, 2019)

Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT. - Teng Wang; Xinyu Yang 001; Xuebin Ren; Jun Zhao 007; Kwok-Yan Lam (IPCCC, 2019)

Differentially Private Event Sequences over Infinite Streams with Relaxed Privacy Guarantee. - Xuebin Ren; Shuyang Wang; Xianghua Yao; Chia-Mu Yu; Wei Yu 002; Xinyu Yang 001 (WASA, 2019)

Locally Differentially Private Data Collection and Analysis. - Teng Wang; Jun Zhao 007; Xinyu Yang 001; Xuebin Ren (CoRR, 2019)

Reviewing and Improving the Gaussian Mechanism for Differential Privacy. - Jun Zhao 007; Teng Wang; Tao Bai; Kwok-Yan Lam; Xuebin Ren; Xinyu Yang 001; Shuyu Shi; Yang Liu 165; Han Yu 001 (CoRR, 2019)

Asynchronous Federated Learning with Differential Privacy for Edge Intelligence. - Yanan Li 004; Shusen Yang; Xuebin Ren; Cong Zhao 001 (CoRR, 2019)

Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis. - Yanan Li 004; Xuebin Ren; Shusen Yang; Xinyu Yang 001 (IEEE Trans. Inf. Forensics Secur., 2019)

OL4EL: Online Learning for Edge-Cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints. - Qing Han; Shusen Yang; Xuebin Ren; Cong Zhao 001; Jingqi Zhang; Xinyu Yang 001 (IEEE Commun. Mag., 2020)

DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data. - Xuebin Ren; Chia-Mu Yu; Wei Yu 002; Xinyu Yang 001; Jun Zhao 007; Shusen Yang (CoRR, 2020)

p-Power Exponential Mechanisms for Differentially Private Machine Learning. - Yanan Li 004; Xuebin Ren; Fangyuan Zhao; Shusen Yang (IEEE Access, 2021)

Local Differential Privacy for data collection and analysis. - Teng Wang; Jun Zhao 007; Zhi Hu; Xinyu Yang 001; Xuebin Ren; Kwok-Yan Lam (Neurocomputing, 2021)

DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data. - Xuebin Ren; Chia-Mu Yu; Wei Yu 002; Xinyu Yang 001; Jun Zhao 007; Shusen Yang (IEEE Internet Things J., 2021)

Survey on Improving Data Utility in Differentially Private Sequential Data Publishing. - Xinyu Yang 001; Teng Wang; Xuebin Ren; Wei Yu 002 (IEEE Trans. Big Data, 2021)

Latent Dirichlet Allocation Model Training With Differential Privacy. - Fangyuan Zhao; Xuebin Ren; Shusen Yang; Qing Han; Peng Zhao 001; Xinyu Yang 001 (IEEE Trans. Inf. Forensics Secur., 2021)

MPCSM: Microservice Placement for Edge-Cloud Collaborative Smart Manufacturing. - Yimeng Wang; Cong Zhao 001; Shusen Yang; Xuebin Ren; Luhui Wang; Peng Zhao 001; Xinyu Yang 001 (IEEE Trans. Ind. Informatics, 2021)

LDP-IDS: Local Differential Privacy for Infinite Data Streams. - Xuebin Ren; Liang Shi; Weiren Yu; Shusen Yang; Cong Zhao 001; Zongben Xu (SIGMOD Conference, 2022)

Exploration Across Small Silos: Federated Few-Shot Learning on Network Edge. - Cong Zhao 001; Xinyue Sun; Shusen Yang; Xuebin Ren; Peng Zhao 001; Julie A. McCann (IEEE Netw., 2022)

PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs. - Qing Han; Shusen Yang; Xuebin Ren; Peng Zhao 001; Cong Zhao 001; Yimeng Wang (IEEE Trans. Ind. Informatics, 2022)

IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry. - Yimeng Wang; Shusen Yang; Xuebin Ren; Peng Zhao 001; Cong Zhao 001; Xinyu Yang 001 (IEEE Trans. Ind. Informatics, 2022)

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data. - Zihao Zhou; Yanan Li 004; Xuebin Ren; Shusen Yang (IEEE Trans. Parallel Distributed Syst., 2022)

Locally Private High-Dimensional Crowdsourced Data Release Based on Copula Functions. - Teng Wang; Xinyu Yang 001; Xuebin Ren; Wei Yu 002; Shusen Yang (IEEE Trans. Serv. Comput., 2022)

Exploring the Benefits of Visual Prompting in Differential Privacy. - Yizhe Li; Yu-Lin Tsai; Chia-Mu Yu; Pin-Yu Chen; Xuebin Ren (ICCV, 2023)

ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System. - Qing Han; Xuebin Ren; Peng Zhao 001; Yimeng Wang; Luhui Wang; Cong Zhao 001; Xinyu Yang 001 (IEEE Intell. Syst., 2023)

RTCoInfer: Real-Time Collaborative CNN Inference for Stream Analytics on Ubiquitous Images. - Zhanhua Zhang; Shusen Yang; Cong Zhao 001; Xuebin Ren; Hanqiao Yu; Qing Han; Siyan Guo (IEEE J. Sel. Areas Commun., 2023)

MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence. - Luhui Wang; Xuebin Ren; Cong Zhao 001; Fangyuan Zhao; Shusen Yang (IEEE Internet Things J., 2023)

Federated multi-objective reinforcement learning. - Fangyuan Zhao; Xuebin Ren; Shusen Yang; Peng Zhao 001; Rui Zhang; Xinxin Xu (Inf. Sci., 2023)

WaterEdge: Edge-Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants. - Yimeng Wang; Shusen Yang; Xuebin Ren; Siyan Guo; Cong Zhao 001; Qing Han (IEEE Syst. J., 2023)

EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning. - Yijun Hao; Shusen Yang; Fang Li; Yifan Zhang; Shibo Wang 002; Xuebin Ren (INFOCOM, 2024)

VertiMRF: Differentially Private Vertical Federated Data Synthesis. - Fangyuan Zhao; Zitao Li; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (KDD, 2024)

Belt and Brace: When Federated Learning Meets Differential Privacy. - Xuebin Ren; Shusen Yang; Cong Zhao 001; Julie A. McCann; Zongben Xu (CoRR, 2024)

Differentially Private Fine-Tuning of Diffusion Models. - Yu-Lin Tsai; Yizhe Li; Zekai Chen; Po-Yu Chen; Chia-Mu Yu; Xuebin Ren; Francois Buet-Golfouse (CoRR, 2024)

Understanding Byzantine Robustness in Federated Learning with A Black-box Server. - Fangyuan Zhao; Yuexiang Xie; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (CoRR, 2024)

Review of Mathematical Optimization in Federated Learning. - Shusen Yang; Fangyuan Zhao; Zihao Zhou; Liang Shi; Xuebin Ren; Zongben Xu (CoRR, 2024)

FedLED: Label-Free Equipment Fault Diagnosis With Vertical Federated Transfer Learning. - Jie Shen; Shusen Yang; Cong Zhao 001; Xuebin Ren; Peng Zhao 001; Yuqian Yang; Qing Han; Shuaijun Wu (IEEE Trans. Instrum. Meas., 2024)

FtlSPG: A Federated Transfer Learning Framework for Personalized Safety Protective Gear Detection in Electric Power Industry. - Yimeng Wang; Xiang Ding; Shusen Yang; Cong Zhao 001; Qing Han; Peng Zhao 001; Xuebin Ren (IEEE Internet Things J., 2024)

Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. - Yanan Li 004; Shusen Yang; Xuebin Ren; Liang Shi; Cong Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey. - Yimeng Wang; Jie Shen; Shusen Yang; Qing Han; Cong Zhao 001; Peng Zhao 001; Xuebin Ren (IEEE Internet Things J., 2024)

A personalized cross-domain recommendation with federated meta learning. - Peng Zhao 001; Yuanyang Jin; Xuebin Ren; Yanan Li 004 (Multim. Tools Appl., 2024)

Reducing Traffic Wastage in Video Streaming via Bandwidth-Efficient Bitrate Adaptation. - Hairong Su; Shibo Wang 002; Shusen Yang; Tianchi Huang; Xuebin Ren (IEEE Trans. Mob. Comput., 2024)

Belt and Braces: When Federated Learning Meets Differential Privacy. - Xuebin Ren; Shusen Yang; Cong Zhao 001; Julie A. McCann; Zongben Xu (Commun. ACM, 2024)

FedImpute: Personalized federated learning for data imputation with clusterer and auxiliary classifier. - Yanan Li 004; Shaocong Guo; Xinyuan Guo; Peng Zhao 001; Xuebin Ren; Hui Wang (Expert Syst. Appl., 2025)

FedGen: Personalized federated learning with data generation for enhanced model customization and class imbalance. - Peng Zhao 001; Shaocong Guo; Yanan Li 004; Shusen Yang; Xuebin Ren (Future Gener. Comput. Syst., 2025)

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams. - Xinyu Li; Xuebin Ren; Shusen Yang; Liang Shi; Chia-Mu Yu (CoRR, 2025)

T³Planner: Multi-Phase Planning Across Structure-Constrained Optical, IP, and Routing Topologies. - Yijun Hao; Shusen Yang; Fang Li; Yifan Zhang; Cong Zhao 001; Xuebin Ren; Peng Zhao 001; Chenren Xu; Shibo Wang 002 (IEEE J. Sel. Areas Commun., 2025)

Learning Adaptive Multi-Timescale Scheduling for Mobile Edge Computing. - Yijun Hao; Shusen Yang; Fang Li; Yifan Zhang; Shibo Wang 002; Xuebin Ren (IEEE Trans. Mob. Comput., 2025)