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Xuebin Ren
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2020 – today
- 2025
- [j28]Peng Zhao, Shaocong Guo, Yanan Li, Shusen Yang, Xuebin Ren:
FedGen: Personalized federated learning with data generation for enhanced model customization and class imbalance. Future Gener. Comput. Syst. 164: 107595 (2025) - 2024
- [j27]Yimeng Wang, Xiang Ding, Shusen Yang, Cong Zhao, Qing Han, Peng Zhao, Xuebin Ren:
FtlSPG: A Federated Transfer Learning Framework for Personalized Safety Protective Gear Detection in Electric Power Industry. IEEE Internet Things J. 11(4): 5887-5898 (2024) - [j26]Yimeng Wang, Jie Shen, Shusen Yang, Qing Han, Cong Zhao, Peng Zhao, Xuebin Ren:
Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey. IEEE Internet Things J. 11(11): 19256-19277 (2024) - [j25]Peng Zhao, Yuanyang Jin, Xuebin Ren, Yanan Li:
A personalized cross-domain recommendation with federated meta learning. Multim. Tools Appl. 83(28): 71435-71450 (2024) - [j24]Yanan Li, Shusen Yang, Xuebin Ren, Liang Shi, Cong Zhao:
Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1243-1256 (2024) - [j23]Jie Shen, Shusen Yang, Cong Zhao, Xuebin Ren, Peng Zhao, Yuqian Yang, Qing Han, Shuaijun Wu:
FedLED: Label-Free Equipment Fault Diagnosis With Vertical Federated Transfer Learning. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j22]Hairong Su, Shibo Wang, Shusen Yang, Tianchi Huang, Xuebin Ren:
Reducing Traffic Wastage in Video Streaming via Bandwidth-Efficient Bitrate Adaptation. IEEE Trans. Mob. Comput. 23(11): 10361-10377 (2024) - [c12]Yijun Hao, Shusen Yang, Fang Li, Yifan Zhang, Shibo Wang, Xuebin Ren:
EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning. INFOCOM 2024: 671-680 - [c11]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD 2024: 4431-4442 - [i19]Xuebin Ren, Shusen Yang, Cong Zhao, Julie A. McCann, Zongben Xu:
Belt and Brace: When Federated Learning Meets Differential Privacy. CoRR abs/2404.18814 (2024) - [i18]Yu-Lin Tsai, Yizhe Li, Zekai Chen, Po-Yu Chen, Chia-Mu Yu, Xuebin Ren, Francois Buet-Golfouse:
Differentially Private Fine-Tuning of Diffusion Models. CoRR abs/2406.01355 (2024) - [i17]Yijun Hao, Shusen Yang, Fang Li, Yifan Zhang, Shibo Wang, Xuebin Ren:
EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning. CoRR abs/2406.07342 (2024) - [i16]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR abs/2406.19008 (2024) - [i15]Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR abs/2408.06042 (2024) - 2023
- [j21]Qing Han, Xuebin Ren, Peng Zhao, Yimeng Wang, Luhui Wang, Cong Zhao, Xinyu Yang:
ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System. IEEE Intell. Syst. 38(1): 34-44 (2023) - [j20]Luhui Wang, Xuebin Ren, Cong Zhao, Fangyuan Zhao, Shusen Yang:
MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence. IEEE Internet Things J. 10(10): 8773-8785 (2023) - [j19]Fangyuan Zhao, Xuebin Ren, Shusen Yang, Peng Zhao, Rui Zhang, Xinxin Xu:
Federated multi-objective reinforcement learning. Inf. Sci. 624: 811-832 (2023) - [j18]Zhanhua Zhang, Shusen Yang, Cong Zhao, Xuebin Ren, Hanqiao Yu, Qing Han, Siyan Guo:
RTCoInfer: Real-Time Collaborative CNN Inference for Stream Analytics on Ubiquitous Images. IEEE J. Sel. Areas Commun. 41(4): 1212-1226 (2023) - [j17]Yimeng Wang, Shusen Yang, Xuebin Ren, Siyan Guo, Cong Zhao, Qing Han:
WaterEdge: Edge-Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants. IEEE Syst. J. 17(4): 5346-5356 (2023) - [c10]Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren:
Exploring the Benefits of Visual Prompting in Differential Privacy. ICCV 2023: 5135-5144 - [i14]Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen:
Exploring the Benefits of Visual Prompting in Differential Privacy. CoRR abs/2303.12247 (2023) - [i13]Jie Shen, Shusen Yang, Cong Zhao, Xuebin Ren, Peng Zhao, Yuqian Yang, Qing Han, Shuaijun Wu:
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning. CoRR abs/2312.17451 (2023) - 2022
- [j16]Cong Zhao, Xinyue Sun, Shusen Yang, Xuebin Ren, Peng Zhao, Julie A. McCann:
Exploration Across Small Silos: Federated Few-Shot Learning on Network Edge. IEEE Netw. 36(1): 159-165 (2022) - [j15]Yimeng Wang, Shusen Yang, Xuebin Ren, Peng Zhao, Cong Zhao, Xinyu Yang:
IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry. IEEE Trans. Ind. Informatics 18(4): 2386-2398 (2022) - [j14]Qing Han, Shusen Yang, Xuebin Ren, Peng Zhao, Cong Zhao, Yimeng Wang:
PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs. IEEE Trans. Ind. Informatics 18(9): 6181-6191 (2022) - [j13]Zihao Zhou, Yanan Li, Xuebin Ren, Shusen Yang:
Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data. IEEE Trans. Parallel Distributed Syst. 33(12): 3291-3305 (2022) - [j12]Teng Wang, Xinyu Yang, Xuebin Ren, Wei Yu, Shusen Yang:
Locally Private High-Dimensional Crowdsourced Data Release Based on Copula Functions. IEEE Trans. Serv. Comput. 15(2): 778-792 (2022) - [c9]Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu:
LDP-IDS: Local Differential Privacy for Infinite Data Streams. SIGMOD Conference 2022: 1064-1077 - [i12]Zihao Zhou, Yanan Li, Xuebin Ren, Shusen Yang:
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data. CoRR abs/2203.01214 (2022) - [i11]Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu:
LDP-IDS: Local Differential Privacy for Infinite Data Streams. CoRR abs/2204.00526 (2022) - 2021
- [j11]Yanan Li, Xuebin Ren, Fangyuan Zhao, Shusen Yang:
p-Power Exponential Mechanisms for Differentially Private Machine Learning. IEEE Access 9: 155018-155034 (2021) - [j10]Teng Wang, Jun Zhao, Zhi Hu, Xinyu Yang, Xuebin Ren, Kwok-Yan Lam:
Local Differential Privacy for data collection and analysis. Neurocomputing 426: 114-133 (2021) - [j9]Xuebin Ren, Chia-Mu Yu, Wei Yu, Xinyu Yang, Jun Zhao, Shusen Yang:
DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data. IEEE Internet Things J. 8(4): 2775-2791 (2021) - [j8]Xinyu Yang, Teng Wang, Xuebin Ren, Wei Yu:
Survey on Improving Data Utility in Differentially Private Sequential Data Publishing. IEEE Trans. Big Data 7(4): 729-749 (2021) - [j7]Fangyuan Zhao, Xuebin Ren, Shusen Yang, Qing Han, Peng Zhao, Xinyu Yang:
Latent Dirichlet Allocation Model Training With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 16: 1290-1305 (2021) - [j6]Yimeng Wang, Cong Zhao, Shusen Yang, Xuebin Ren, Luhui Wang, Peng Zhao, Xinyu Yang:
MPCSM: Microservice Placement for Edge-Cloud Collaborative Smart Manufacturing. IEEE Trans. Ind. Informatics 17(9): 5898-5908 (2021) - 2020
- [j5]Qing Han, Shusen Yang, Xuebin Ren, Cong Zhao, Jingqi Zhang, Xinyu Yang:
OL4EL: Online Learning for Edge-Cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints. IEEE Commun. Mag. 58(5): 49-55 (2020) - [i10]Qing Han, Shusen Yang, Xuebin Ren, Cong Zhao, Jingqi Zhang, Xinyu Yang:
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints. CoRR abs/2004.10387 (2020) - [i9]Xuebin Ren, Chia-Mu Yu, Wei Yu, Xinyu Yang, Jun Zhao, Shusen Yang:
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data. CoRR abs/2009.14125 (2020) - [i8]Fangyuan Zhao, Xuebin Ren, Shusen Yang, Qing Han, Peng Zhao, Xinyu Yang:
Latent Dirichlet Allocation Model Training with Differential Privacy. CoRR abs/2010.04391 (2020)
2010 – 2019
- 2019
- [j4]Yanan Li, Xuebin Ren, Shusen Yang, Xinyu Yang:
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis. IEEE Trans. Inf. Forensics Secur. 14(9): 2342-2357 (2019) - [c8]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CIKM 2019: 1311-1320 - [c7]Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang:
On Privacy Protection of Latent Dirichlet Allocation Model Training. IJCAI 2019: 4860-4866 - [c6]Teng Wang, Xinyu Yang, Xuebin Ren, Jun Zhao, Kwok-Yan Lam:
Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT. IPCCC 2019: 1-8 - [c5]Xuebin Ren, Shuyang Wang, Xianghua Yao, Chia-Mu Yu, Wei Yu, Xinyu Yang:
Differentially Private Event Sequences over Infinite Streams with Relaxed Privacy Guarantee. WASA 2019: 272-284 - [i7]Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang:
On Privacy Protection of Latent Dirichlet Allocation Model Training. CoRR abs/1906.01178 (2019) - [i6]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CoRR abs/1906.01562 (2019) - [i5]Teng Wang, Jun Zhao, Xinyu Yang, Xuebin Ren:
Locally Differentially Private Data Collection and Analysis. CoRR abs/1906.01777 (2019) - [i4]Yanan Li, Xuebin Ren, Shusen Yang, Xinyu Yang:
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis. CoRR abs/1906.02606 (2019) - [i3]Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu:
Reviewing and Improving the Gaussian Mechanism for Differential Privacy. CoRR abs/1911.12060 (2019) - [i2]Yanan Li, Shusen Yang, Xuebin Ren, Cong Zhao:
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence. CoRR abs/1912.07902 (2019) - 2018
- [j3]Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, Xinyu Yang, Julie A. McCann, Philip S. Yu:
LoPub: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 13(9): 2151-2166 (2018) - 2017
- [c4]Xinyu Yang, Teng Wang, Xuebin Ren, Wei Yu:
Copula-Based Multi-Dimensional Crowdsourced Data Synthesis and Release with Local Privacy. GLOBECOM 2017: 1-6 - 2016
- [j2]Xinyu Yang, Xuebin Ren, Jie Lin, Wei Yu:
On Binary Decomposition Based Privacy-Preserving Aggregation Schemes in Real-Time Monitoring Systems. IEEE Trans. Parallel Distributed Syst. 27(10): 2967-2983 (2016) - [c3]Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, Xinyu Yang, Julie A. McCann:
High-Dimensional Crowdsourced Data Distribution Estimation with Local Privacy. CIT 2016: 226-233 - [i1]Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, Xinyu Yang, Julie A. McCann, Philip S. Yu:
LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy. CoRR abs/1612.04350 (2016) - 2015
- [j1]Xinyu Yang, Xuebin Ren, Shusen Yang, Julie A. McCann:
A novel temporal perturbation based privacy-preserving scheme for real-time monitoring systems. Comput. Networks 88: 72-88 (2015) - [c2]Xuebin Ren, Xinyu Yang, Jie Lin, Wei Yu:
On binary decomposition based privacy-preserving aggregation schemes in real-time monitoring systems. ICC 2015: 7083-7088 - 2013
- [c1]Xuebin Ren, Xinyu Yang, Jie Lin, Qingyu Yang, Wei Yu:
On Scaling Perturbation Based Privacy-Preserving Schemes in Smart Metering Systems. ICCCN 2013: 1-7
Coauthor Index
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