Publications
Book Chapters
1. Jessie Hui Wang, Yipeng Zhou and Yuedong Xu: Deterministic Network. Fundamentals of 6G Communications and Networking, pages633-665, Springer International Publishing, 2023.
refereed journal articles
1. Dongyuan Su, Yipeng Zhou, Laizhong Cui and Song Guo: Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources. In IEEE Transactions on Services Computing (TSC), 2024. [CCF A]
2. Laizhong Cui, Yinghao Li, Yipeng Zhou*, Youyang Qu and Jiangchuan Liu: Accelerating Blockchain-Enabled Federated Learning with Clustered Clients. In IEEE Transactions on Big Data (TBD), 2023.
3. Yunchao Yang, Miao Hu, Yipeng Zhou, Xuezheng Liu and Di Wu: CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning. In IEEE Transactions on Information Forensics and Security (TIFS), volume 19, pages 892-906, 2024. [CCF A]
4. Yipeng Zhou, Runze Wang, Jiahao Liu, Di Wu, Shui Yu and Yonggang Wen: Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach. To appear in IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. [CCF A]
5. Baili Chai, Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou and Di Wu: SDSR: Optimizing Metaverse Video Streaming via Saliency-driven Dynamic Super-Resolution. To appear IEEE Journal on Selected Areas in Communications (JSAC),volume 42, issue 4, pages 978-989, 2024. [CCF A]
6. Jiating Ma, Yipeng Zhou, Laizhong Cui and Song Guo: An Optimized Sparse Response Mechanism for Differentially Private Federated Learning. To appear in IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. [CCF A]
7. Zeqin Wang, Ming Wen, Yuedong Xu, Yipeng Zhou, Jessie Hui Wang and Liang Zhang: Communication Compression Techniques in Distributed Deep Learning: A Survey. Accepted by Elsevier Journal of Systems Architecture, 2023.
8. Xuezheng Liu, Zirui Yan, Yipeng Zhou, Di Wu, Xu Chen and Jessie Hui Wang: Optimizing Parameter Mixing under Constrained Communications in Parallel Federated Learning. In IEEE/ACM Transactions on Networking (T0N), volume 31, issue 6, pages 2640-2652, 2023. [CCF A]
9. Chenghao Rong, Jessie Hui Wang, Jilong Wang, Yipeng Zhou and Jun Zhang: Live Migration of Video Analytics Applications in Edge Computing. To appear in IEEE Transactions on Mobile Computing (TMC), 2023. [CCF A]
10. Xiaoxin Su, Yipeng Zhou, Laizhong Cui and Jiangchuan Liu: On Model Transmission Strategies in Federated Learning with Lossy Communications. In IEEE Transactions on Parallel and Distributed Systems (TPDS), volume 34, issue 4, pages 1173-1185, 2023. [CCF A]
11. Yipeng Zhou, Xuezheng Liu, Di Wu, Jessie Hui Wang and Shui Yu: Optimizing the Numbers of Queries and Replies in Convex Federated Learning with Differential Privacy. In IEEE Transactions on Dependable and Secure Computing (TDSC), volume 20, issue 6, pages 4823-4837, 2023. [CCF A]
12. Miao Hu, Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, Xu Chen and Di Wu: AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning. In IEEE Transactions on Mobile Computing (TMC), volume 23, issue 1, pages 194-208, 2023. [CCF A]
13. Chao Xu, Jessie Hui Wang, Jilong Wang, Tao Yu, Yipeng Zhou, Yuedong Xu, Di Wu and Changqing An: Offloading Elastic Transfers to Opportunistic Vehicular Networks Based on Imperfect Trajectory Prediction. In IEEE/ACM Transactions on Networking (ToN), volume 31, issue 1, pages 279-293, 2023. [CCF A]
14. Laizhong Cui, Xiaoxin Su and Yipeng Zhou*: A Fast Blockchain-Based Federated Learning Framework with Compressed Communications. In IEEE Journal on Selected Areas in Communications (JSAC), volume 40, issue 12, pages 3358-3372, 2022. [CCF A]
15. Yipeng Zhou, Juncai Liu, Hui Wang, Jilong Wang, Guanfeng Liu, Di Wu, Chao Li and Shui Yu: USST: A Two-Phase Privacy-Preserving Framework for Personalized Recommendation with Semi-distributed Training. In Elsevier Information Sciences (INS), volume 606, pages 688-701, 2022.
16. Lei Tan, Xiaoxi Zhang, Yipeng Zhou, Xinkai Che, Miao Hu, Xu Chen and Di Wu: AdaFed: Optimizing Participation-Aware Federated Learning with Adaptive Aggregation Weights. In IEEE Transactions on Network Science and Engineering (TNSE), volume 9, issue 4, pages 2708-2720, 2022.
17. Xuezheng Liu, Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen and Quan Z. Sheng: Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach. In IEEE /ACM Transactions on Networking (ToN), volume 30, issue 5, pages 2201-2015, 2022. [CCF A]
18.Laizhong Cui, Jiating Ma, Yipeng Zhou and Shui Yu: Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT with Sparse Responses. In IEEE Transactions on Industrial Informatics (TII), volume 19, issue 1, pages 910-920, 2023.
19. Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou and Di Wu: LiveSR: Enabling Universal HD Live Video Streaming with Crowdsourced Online Learning. In IEEE Transactions on Multimedia (TMM), volume 25, pages 2788-2798, 2023.
20. Miao Hu, Di Wu, Yipeng Zhou, Xu Chen and Min Chen: Incentive-Aware Autonomous Client Participation in Federated Learning. In IEEE Transactions on Parallel and Distributed Systems (TPDS), volume 33, issue 10, pages 2612-2627, 2022. [CCF A]
21. Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, Xi Zheng, Min Chen and Song Guo: Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. In IEEE Transactions on Parallel and Distributed Systems (TPDS), volume 33, issue 10, pages 2597-2611, 2022. [CCF A]
22. Yipeng Zhou, Yao Fu, Zhenxiao Luo, Miao Hu, Di Wu, Quan Z. Sheng and Shui Yu: The Role of Communication Time in the Convergence of Federated Edge Learning. In IEEE Transactions on Vehicular Technology (TVT), volume 71, issue 3, pages 3241-3254, 2022.
23. Zhengkai Shi, Yipeng Zhou*, Di Wu and Chen Wang: PPVC: Online Learning Towards Optimized Video Content Caching. In IEEE/ACM Transactions on Networking (ToN), volume 30, issue 3, pages 1029-1044, 2022. [CCF A]
24. Laizhong Cui, Erchao Ni, Yipeng Zhou*, Zhi Wang, Lei Zhang, Jiangchuan Liu and Yuedong Xu: Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution. In IEEE Transactions on Multimedia (TMM), volume 25, pages 302-314, 2023.
25. Bai, Wen, Yadi Chen, Di Wu, Zhichuan Huang, Yipeng Zhou and Chuan Xu: Generalized core maintenance of dynamic bipartite graphs. In Data Mining and Knowledge Discovery (DMKD), volume 36, issue 1, pages 209-239, 2022.
26. Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, Xi Zheng, Jessie Hui Wang, Song Guo and Chao Li: Gain without Pain: Offsetting DP-injected Noises Stealthily in Cross-Device Federated Learning. In IEEE Internet of Things (IoT) Journal, volume 9, issue 22, pages 22147-22157.
27. Lei Cui, Lei Guo, Longxiang Gao, Borui Cai, Youyang Qu, Yipeng Zhou and Shui Yu: A Covert Electricity-Theft Cyber-Attack against Machine Learning-Based Detection Models. In IEEE Transactions on Industrial Informatics (TII), volume 18, issue 11, pages 7824-7833, 2022.
28. Laizhong Cui, Xiaoxin Su, Yipeng Zhou* and Yi Pan: Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. In IEEE Journal on Selected Areas in Communications (JSAC), volume 39, issue 8, pages 2572-2589, 2021. [CCF A]
29. Jinyu Chen, Xianzhuo Luo, Miao Hu, Di Wu and Yipeng Zhou: Sparkle: User-Aware Viewport Prediction in 360-degree Video Streaming. In IEEE Transactions on Multimedia (TMM), volume 23, pages 3853-3866, 2021.
30. Miao Hu, Jiawen Chen, Di Wu, Yipeng Zhou, Yi Wang and Hong-Ning Dai: TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume 31, issue 10, pages 4107-4120, 2021.
31. Miao Hu, Di Wu, Run Wu, Zhengkai Shi, Min Chen and Yipeng Zhou: RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems. In IEEE Transactions on Services Computing (TSC), volume 15, issue 5, pages 2969-2981, 2022. [CCF A]
32. Yipeng Zhou, Jiawen Chen, Guoqiao Ye, Di Wu, Jessie Hui Wang and Min Chen: Collaboratively Replicating Encoded Content on RSUs to Enhance Video Services for Vehicles. In IEEE Transactions on Mobile Computing (TMC), volume 20, issue 3, pages 877-892, 2019. [CCF A]
33. Yong Li, Yipeng Zhou, Alireza Jolfaei, Dongjin Yu, Gaochao Xu and Xi Zheng: Privacy-Preserving Federated Learning Framework Based on Chained Secure Multi-party Computing. In IEEE Internet of Things (IoT) Journal, volume 8, issue 8, pages 6178-6186, 2021.
34. Laizhong Cui, Dongyuan Su, Yipeng Zhou*, Lei Zhang, Yulei Wu and Shiping Chen: Edge Learning for Surveillance Video Uploading Sharing in Public Transport Systems. In IEEE Transactions on Intelligent Transportation Systems (TITS), volume 22, issue 4, pages 2274-2285, 2021.
35. Laizhong Cui, Ziteng Chen, Shu Yang, Zhongxing Ming, Qi Li, Yipeng Zhou, Shiping Chen and Qinghua Lu: A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles. In IEEE Internet Things (IoT) Journal, volume 8, issue 4, pages: 2395-2408, 2021.
36. Miao Hu, Xianzhuo Luo, Jiawen Chen, Young Choon Lee, Yipeng Zhou, Di Wu: Virtual reality: A survey of enabling technologies and its applications in IoT. In Journal of Network and Computer Applications (JNCA), volume 178, 102970, 2021.
37. Yangfan Jiang, Yao Fu, Yipeng Zhou and Di Wu: Robust Size Estimation of Online Social Networks via Subgraph Sampling. In IEEE Transactions on Network Science and Engineering (TNSE), volume 7, issue 4, pages 2702-2713, 2020.
38. Wen Bai, Yuxiao Zhang, Weiwei Huang, Yipeng Zhou, Di Wu, Gang Liu, Liang Xiao: DeepFusion: predicting movie popularity via cross-platform feature fusion. In Springer Multimedia Tools and Applications, volume 79, issues 27-28, pages: 19289-19306, 2020.
39. Miao Hu, Zixuan Xie, Di Wu, Yipeng Zhou, Xu Chen and Liang Xiao: Heterogeneous Edge Offloading with Incomplete Information: A Minority Game Approach. In IEEE Transactions on Parallel and Distributed Systems (TPDS), volume 31, issue 9, pages 2139-2154, 2020. [CCF A]
40. Canrui Wu, Chen Wang, Yipeng Zhou, Di Wu, Min Chen, Jessie Hui Wang and Jing Qin: Exploiting User Reviewers for Automatic Movie Tagging. In Springer Multimedia Tools and Applications, volume 79, issues 17-18, pages: 11399-11419, 2020.
41. Shengchao Liu, Jianping Weng, Hui Wang, Changqing An, Yipeng Zhou and Jinlong Wang: An Adaptive Online Scheme for Scheduling and Resource Enforcement in Storm. In IEEE/ACM Transactions on Networking (ToN), Volume 27, Issue 4, Pages 1373-1386, 2019. [CCF A]
42. Yan Zhou, Zhanpeng Wu, Yipeng Zhou, Miao Hu, Chunfeng Yang and Jing Qin: Exploring Popularity Predictability of Online Videos with Fourier Transform. In IEEE Access, Volume 7, Pages 41823-41834, 2019.
43. Miao Hu, Lei Zhuang, Di Wu, Yipeng Zhou, Xu Chen and Liang Xiao: Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing. In IEEE Transactions on Parallel and Distributed Systems (TPDS), volume 30, issue 8, pages 1802-1815, 2019. [CCF A]
44. Lei Huang, Bowen Ding, Aining Wang, Yuedong Xu, Yipeng Zhou and Xiang Li: User Behavior Analysis and Video Popularity Prediction on a Large-Scale VoD System. In ACM Transactions on Multimedia Computing, Communications and Application (ToMM), volume 14, issue 3s, pages 67:1-24, 2018.
45. Zhaobin Deng, Yipeng Zhou, Di Wu, Guoqiao Ye, Min Chen and Liang Xiao: Utility Maximization of Cloud-based In-car Video Recording over Vehicular Access Networks. In IEEE Internet of Things (IoT) Journal, Volume 5, Issue 6, Pages 5213-5226, 2018.
46. Weiwei Huang, Yipeng Zhou, Xueyan Xie, Di Wu, Min Chen and Edith Ngai: Buffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming. In IEEE Transactions on Broadcasting (TBC), volume 64, issue 2, pages 590-601, 2018.
47. Yipeng Zhou, Jiqiang Wu, Terence Chan, Siu Wai Ho, Dah Ming Chiu and Di Wu: Interpreting Video Recommendation Mechanisms via Mining View Count Traces. In IEEE Transactions on Multimedia (TMM), volume 20, issue 8, pages 2153-2165, 2018.
48. Yipeng Zhou, Xuhong Gu, Di Wu, Min Chen, Terence Chan and Siu Wai Ho: Statistical Study of View Preferences for Online Videos with Cross-platform Information. In IEEE Transactions on Multimedia (TMM), volume 20, issue 6, pages 1512-1524, 2017.
49. Yipeng Zhou, Terence Chan, Siu Wai Ho, Guoqiao Ye and Di Wu: Replicating Coded Content in Crowdsourcing-Based CDN Systems. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume 28, issue 12, pages 3492-3503, 2017.
50. Guoqiao Ye, Gaoxiang Li, Di Wu, Xu Chen and Yipeng Zhou: Towards Cost Minimization with Renewable Energy Sharing in Cooperative Residential Communities. In IEEE Access, volume 5, pages 11688-11699, 2017.
51. Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming and Yuedong Xu: Performance Analysis of Thunder Crystal: A Crowdsourcing-based Video Distribution Platform. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume 28, issue 4, 997-1008, 2018.
52. Yuedong Xu, Zhujun Xiao, Hui Feng, Tao Yang, Bo Hu and Yipeng Zhou: Modeling Buffer Starvations of Video Streaming in Cellular Networks with Large-Scale Measurement of User Behavior. In IEEE Transactions on Mobile Computing (TMC), volume 16, issue 8, pages 2228-2245, 2017. [CCF A]
53. Tingting Wang, Di Wu, Jiaming Zhang, Min Chen and Yipeng Zhou: Measuring and Analyzing Third-Party Mobile Game App Stores in China. In IEEE Transactions on Network and Service Management (TNSM), volume 13, issue 4, pages 793-805, 2016.
54. Chunfeng Yang, Yipeng Zhou and Dah Ming Chiu: Social Group Based Ranking Algorithms for Cold-Start Video Recommendation. In International Journal of Data Science and Analytics, volume 1, issue 3-4, pages 165-175, 2016.
55. Jiqiang Wu, Yipeng Zhou*, Dah Ming Chiu and Zirong Zhu: Modeling Dynamics of Online Video Popularity. In IEEE Transactions on Multimedia (TMM), volume 18, issue 9, pages 1882-1895, 2016
56. Yipeng Zhou, Liang Chen, Mi Jing, Shenglong Zou and Richard T. B. Ma: Design, Implementation and Measurement of a Crowdsourcing-based Content Distribution Platform. In ACM Transactions on Multimedia Computing, Communications and Application (ToMM), volume 12, issue 5s, pages 80:1-23, 2016.
57.Yipeng Zhou, Liang Chen, Chunfeng Yang and Dah Ming Chiu: Video Popularity Dynamics and its Implication for Replication. In IEEE Transactions on Multimedia (TMM), volume 17, issue 8, pages 1273-1285, 2015.
58. Liang Chen, Yipeng Zhou* and Dah Ming Chiu: Smart Streaming for Online Video Services. In IEEE Transactions on Multimedia (TMM), volume 17, issue 4, pages 485-497, 2015.
59. Liang Chen, Yipeng Zhou and Dah Ming Chiu: Analysis and Detection of Fake Views in Online Video Services. In ACM Transactions on Multimedia Computing, Communications and Applications (ToMM), volume 11, issue 2s, pages 44:1-44:20. 2015.
60. Chunfeng Yang, Yipeng Zhou*, Liang Chen, Tom Z.J. Fu and Dah Ming Chiu: Turbocharged Video Distribution via P2P. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). volume 25, issue 2, pages 287-299, 2015
61. Yipeng Zhou, Tom Z.J. Fu and Dah Ming Chiu: A Unifying Model and Analysis of P2P VoD Replication and Scheduling. In IEEE/ACM Transactions on Networking (ToN), volume 23, issue 4, pages 1163-1175, 2015. [CCF A]
62. Yipeng Zhou, Yuedong Xu and Shengli Zhang: Exploring Coding Benefits in CDN Based VoD Systems. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume 24, issue 11, pages 1969-1981, 2014.
63. Liang Chen, Yipeng Zhou* and Dah Ming Chiu: A Study of User Behavior in Online VoD Services. Elsevier Computer Communications, volume 46, pages 66-75, 2014.
64. Yuedong Xu, Yipeng Zhou and Dah Ming Chiu: Analytical QoE Models for Bit-Rate Switching in Dynamic Adaptive Streaming Systems. In IEEE Transactions on Mobile Computing (TMC), volume 13, issue 12, pages 2734-2748, 2014. [CCF A]
65. Yipeng Zhou, Tom Z. J. Fu and Dah Ming Chiu: An Adaptive Cloud Downloading Service. In IEEE Transactions on Multimedia (TMM), Special Issue on Cloud Based Mobile Media, volume 15, issue 4, pages 802-810, 2013.
66. Yipeng Zhou, Tom Z. J. Fu and Dah Ming Chiu: On Replication Algorithms in P2P VoD. In IEEE/ACM Transactions on Networking (ToN), volume 21, issue 1, pages 233-243, 2013. [CCF A]
67. Yipeng Zhou, Tom Z. J. Fu and Dah Ming Chiu: Server-Assisted Adaptive Video Replication for P2P VoD. In Elsevier Journal of Signal Processing: Image Communication, Special Issue on Advances in video streaming for P2P networks, volume 27, issue 5, pages 484-495, 2012.
68. Yipeng Zhou , Dah Ming Chiu and John C.S. Lui: A Simple Model for Chunk Scheduling Strategies in P2P Streaming. In IEEE/ACM Transactions on Networking (ToN), volume 19, issue 1, pages 42-54, 2011. [CCF A]
refereed conference proceedings
1. Jiang Wu, Xuezheng Liu, Miao Hu, Linhong Xu, Min Chen, Yipeng Zhou and Di Wu: GazeFed: Privacy-Aware Personalized Gaze Prediction for Virtual Reality. In Proceedings of IEEE/ACM IWQoS, 2024 (short paper).
2. Zekun Xu, Yipeng Zhou, Quan Z. Sheng, Chao Li, Tongtong Lou and Weipeng Jing: Adaptive Global-local Fusion Network Based Deep Unsupervised Hashing for Remote Sensing Image Retrieval. In Proceedings of IEEE ICME 2024.
3. Chonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng and Song Guo: DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions. In Proceedings of IEEE INFOCOM 2024. [CCF A]
4. Xiaoxin Su, Yipeng Zhou, Laizhong Cui and Song Guo: Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression. In Proceedings of IEEE INFOCOM 2024. [CCF A]
5. Xiaoxin Su, Yipeng Zhou, Laizhong Cui, John C.S. Lui and Jiangchuan Liu: Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes. In Proceedings of IEEE INFOCOM 2024. [CCF A]
6. Lei Tan, Yunchao Yang, Miao Hu, Yipeng Zhou and Di Wu: FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning. In Proceedings of ICA3PP, 2023
7. Youxingzhu Deng, Yipeng Zhou, Gang Liu, Hui Wang and Shui Yu: Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients. In Proceedings of IEEE DSAA, 2023.
8. Lei Tan, Miao Hu, Yipeng Zhou and Di Wu: Analyzing the Convergence of Federated Learning with Biased Client Participation. In Proceedings of ADMA, 2023.
9. Behnaz Soltani, Yipeng Zhou*, Venus Haghighi and John C.S. Lui: A Survey of Federated Evaluation in Federated Learning, In Proceedings of IJCAI 2023. [CCF A]
10. Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu and Quan Z. Sheng: BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. In Proceedings of IJCAI 2023. [CCF A]
11. Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou and Di Wu: FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment: In Proceedings of IJCAI 2023. [CCF A]
12. Mengyu Yang, Di Wu, Zenglong Wang, Miao Hu and Yipeng Zhou: Understanding and Improving Perceptual Quality of Volumetric Video Streaming. In Proceedings of IEEE ICME, 2023
13. Dongyuan Su, Yipeng Zhou and Laizhong Cui: Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources. In Proceedings of ICNP 2022.
14. Miao Hu, Zhenxiao Luo, Yipeng Zhou, Xuezheng Liu and Di Wu: Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications. In Proceedings of IEEE INFOCOM 2022. [CCF A]
15. Laizhong Cui, Xiaoxin Su, Yipeng Zhou* and Jiangchuan Liu: Optimal Rate Adaption in Federated Learning with Compressed Communications. In Proceedings of IEEE INFOCOM 2022. [CCF A]
16. Zhenxiao Luo, Guopin Tang, Chen Wang, Yipeng Zhou, Xi Zheng, Jessie Hui Wang, Gang Liu and Di Wu: Generating High-quality Movie Tags from Social Reviews: A Learning-driven Approach. In Proceedings of IEEE CPSCom 2021.
17. Xuezheng Liu, Ke Liu, Guoqiao Ye, Miao Hu, Yipeng Zhou and Di Wu: Gaming at the Edge: A Weighted Congestion Game Approach for Latency-Sensitive Scheduling. In Proceedings of MSN, 2021, invited paper.
18. Jiwei Guan, Xi Zheng, Chen Wang, Yipeng Zhou and Alireza Jolfaei: Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles. In Proceedings of IEEE TrustCom, 2021.
19. Yupeng Jiang, Yong Li, Yipeng Zhou and Xi Zheng: Sybil Attacks and Defense on Differential Privacy based Federated Learning. In Proceedings of IEEE TrustCom, 2021.
20. Gangqiang Zhou, Run Wu, Miao Hu, Yipeng Zhou, Tom Z. J. Fu and Di Wu: Neural Adaptive Streaming of VBR-encoded Videos. In Proceedings of ACM NOSSDAV 2021.
21. Zhenxiao Luo, Zelong Wang, Jinyu Chen, Miao Hu, Yipeng Zhou, Tom Z. J. Fu and Di Wu: Enabling High-Quality Video Ingest in Crowdsourced Livecast via Super-Resolution. In Proceedings of ACM NOSSDAV 2021.
22. Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li and Quan Z. Sheng: P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. In Proceedings of IEEE INFOCOM 2021. [CCF A]
23. Laizhong Cui, Xiaoxin Su, Yipeng Zhou*, Lei Zhang: ClusterGrad: Adaptive Gradient Compression by Clustering in Federated Learning. In Proceedings of IEEE GLOBECO, pages 1-7, 2020.
24. Jianming Lv, Chaojie Hu, Yipeng Zhou, Xiaojun Chen: SoMem: A Self-optimizing Memory Network for Distributed Person Re-identification. In Proceedings of ICTAI, pages 482-487, 2020.
25. Samundra Deep, Yuzhe Tian, Jianchao Lu, Yipeng Zhou, James Xi Zheng: Leveraging Multi-view Learning for Human Anomaly Detection in Industrial Internet of Things. In Proceedings of IEEE CPSCom, pages: 533-537, 2020.
26. Chen Wang, Shilu Lin, Zhicong Zhong, Yipeng Zhou, Di Wu: AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data. In Proceedings of ICONIP, pages 395-406, 2020.
27. Yangfan Jiang, Yipeng Zhou, Di Wu, Chao Li and Yan Wang: On the Detection of Shilling Attacks in Federated Collaborative Filtering. In Proceedings of IEEE SRDS, pages 185-104, 2020.
28. Jayden King, Lily Huang, Di Wu, Yipeng Zhou, Young Choon Lee: EdgeSum: Edge-Based Video Summarization with Dash Cams. In Proceedings of IC2E, pages 40-48, 2020.
29. Jianchao He, Miao Hu, Yipeng Zhou and Di Wu: LiveClip: Towards Intelligent Mobile Short-form Video Streaming with Deep Reinforcement Learning. In Proceedings of ACM NOSSDAV 2020.
30. Zhanpeng Wu, Yipeng Zhou, Di Wu, Min Chen and Yuedong Xu: Towards Personalized Time-Aware Recommendation for Over-The-Top Videos. In Proceedings of ACM NOSSDAV 2019.
31. Zhanpeng Wu, Yan Zhou, Di Wu, Yipeng Zhou and Jing Qin: Crowdsourced Time-Sync Video Recommendation via Semantic-Aware Neural Collaborative Filtering. In Proceedings of ICWE, 2019.
32. Yihao Ke, Guoqiao Ye, Di Wu, Yipeng Zhou, Edith Ngai and Han Hu: GECKO: Game Experience-Centric Bitrate Control Algorithm for Cloud Gaming. In Proceedings of ICIG, 2017.
33. Xuhong Gu, Yipeng Zhou, Di Wu, Terence H. Chan and Min Chen: Unveiling Latent Behaviors of Video Viewers with Cross-Platform Information. In Proceedings of ACM NOSSDAV 2017.
34. Jiaming Zhang, Yipeng Zhou, Di Wu and Chunfeng Yang: Context-aware Video Recommendation by Mining Users' View Preferences Based on Access Points. In Proceedings of ACM NOSSDAV 2017.
35. Lei Huang, Wenbo Ding, Yuedong Xu and Yipeng Zhou: Analysis of User Behavior in a Large-scale VoD System. In Proceedings of ACM NOSSDAV 2017.
36. Chen Zhang, Yuedong Xu, Yipeng Zhou and Xiaoming Fu: On the "Familiar Stranger" Phenomenon in a Large-scale VoD System. In Proceeding of NetSciCom 2017.
37. Chunfeng Yang, Yipeng Zhou and Dah Ming Chiu: "Who are Like-minded: Mining User Interest Similarity in Online Social Networks". In Proceedings of ICWSM, 2016 (poster paper).
38. Chunfeng Yang, Yipeng Zhou, Liang Chen and Dah Ming Chiu: Social Group Based Video Recommendation Addressing the Cold-Start Problem. In Proceedings of PAKDD 2016.
39. Zhujun Xiao, Yuedong Xu, Hui Feng, Tao Yang, Bo Hu and Yipeng Zhou: Modeling Streaming QoE in Wireless Networks with Large-Scale Measurement of User Behavior. In Proceedings of IEEE Global Communications Conference (GLOBECOM), 2015.
40. Jiqiang Wu, Yipeng Zhou*, Dah Ming Chiu and Zirong Zhu: CDN Bandwidth Allocation in Weakly Interconnected Networks. In Proceedings of IEEE ISCC 2015, Cyprus.
41. Jiqiang Wu, Yipeng Zhou*, Dah Ming Chiu and Zirong Zhu: Modeling Dynamics of Online Video Popularity. In: Proceedings of IEEE/ACM IWQoS, short paper, 2015 (short paper).
42. Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming and Dah Ming Chiu: Analyzing Streaming Performance in Crowdsourcing-based Video Service Systems. In Proceedings of IEEE LANMAN, 2015, Beijing, China.
43. Liang Chen, Yipeng Zhou*, Mi Jing and Tianbai Ma: Thunder Crystal: A Novel Crowdsourcing-based Content Distribution Platform. In: Proceedings of ACM NOSSDAV 2015, USA.
44. Liang Chen, Yipeng Zhou* and Dah Ming Chiu: A Lifetime Model of Online Video Popularity. In Proceedings of IEEE ICCCN, 2014.
45. Liang Chen, Yipeng Zhou* and Dah Ming Chiu: Fake View Analytics in Online Video Services. In Proceedings of ACM NOSSDAV 2014, Singapore.
46. Chunfeng Yang, Yipeng Zhou*, Tom Z.J. Fu and Dah Ming Chiu: Efficient P2P Video Distribution by Peer Reorganization. In Proceeding of COMSNETS, 2014, (Invited Paper).
47. Liang Chen, Yipeng Zhou and Dah Ming Chiu: Video Browsing-A Study of User Behavior in Online VoD Services. In: Proceeding of IEEE ICCCN, 2013.
48. Yipeng Zhou , Tom Z. J. Fu and Dah Ming Chiu: Division-of-labor between Server and P2P for Streaming VoD. In Proceeding of IEEE/ACM IWQoS, 2012, Coimbra, Portugal.
49. Yipeng Zhou , Tom Z. J. Fu and Dah Ming Chiu: A Unifying Model and Analysis of P2P VoD Replication and Scheduling. In Proceeding of IEEE INFOCOM 2012, Orlando, Florida USA. [CCF A]
50. Yipeng Zhou , Tom Z. J. Fu and Dah Ming Chiu: Statistical Modeling and Analysis of P2P Replication to Support VoD Service. In Proceeding of IEEE INFOCOM 2011, Shanghai China. [CCF A]
51. Yipeng Zhou , Dah Ming Chiu and John C.S. Lui: A Simple Model for Analyzing P2P Streaming Protocol. In Proceedings of IEEE ICNP, Beijing Chian, 2007.
52. Yipeng Zhou , Guangzhong Sun, Yunlian Jiang and Yinlong Xu: An Effective Scheduling Algorithm for Homogeneous System. In Proceedings of GCC, 2007.
53. Guangzhong Sun, Yipeng Zhou , Yu Huang and Yinghua Zhou: Adaptive Scheduling Strategy for Data Stream Management System. In Proceedings of APWeb, 2007.
PATENTS
1. “REPLICATION DECISION IN P2P VOD SYSTEMS”, ZHOU; Yipeng and FU; Zhengjia and CHIU; Dah Ming,U.S. Patent (Serial No.: US 13/111,786), Filing Date: May 19, 2011.
2. “METHODS FOR REPLICATING MEDIA CONTENTS AND P2P VOD SYSTEMS”, ZHOU; Yipeng and FU; Zhengjia and CHIU; Dah Ming,U.S. Patent (Serial No.: US 12/892,806), Filing Date: September 28, 2010