Publications (by Type)
[Publications (by Year)]
Book Chapters
Miao Hu, Yao Fu, Di Wu.
Privacy-Preserving Edge Video Analytics,
in Springer Fog/Edge Computing For Security, Privacy, and Applications (Book Chapter),
Pages 171-190, 2021.
Miao Hu, Lei Zhuang, Di Wu, Zhichuan Huang, Han Hu.
Edge Computing for Real-time Video Stream Analytics,
in Springer Encyclopedia of Wireless Networks (Invited Chapter), September 2018.
Di Wu, Yihao Ke, Jian He, Yong Li, Min Chen.
Mobile Cloud Gaming,
in Encyclopedia of Computer Graphics and Games (Invited Chapter), Springer International Publishing, 2017.
Journal Papers
Xuezheng Liu, Yipeng Zhou, Di Wu, Miao Hu, Min Chen, Mohsen Guizani, Quan Z. Sheng.
CPFedAvg: Enhancing Hierarchical Federated Learning via Optimized Local Aggregation and Parameter Mixing,
in IEEE/ACM Transactions on Networking (IEEE/ACM TON), in press. [CCF A]
Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Shazia Riaz, Miao Hu, Linchang Xiao.
A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges,
in ACM Computing Surveys (ACM CSUR), in press. [IF: 23.8, ranked 1/143 in Computer Science Theory and Methods]
Baili Chai, Di Wu, Jinyu Chen, Mengyu Yang, Zelong Wang, and Miao Hu.
REM: Enabling Real-time Neural-enhanced Video Streaming on Mobile Devices using Macroblock-Aware Lookup Table,
in IEEE Transactions on Mobile Computing (IEEE TMC), in press. [CCF A]
Jiang Wu, Yunchao Yang, Miao Hu, Yipeng Zhou, and Di Wu.
FCER: A Federated Cloud-Edge Recommendation Framework with Cluster-based Edge Selection,
in IEEE Transactions on Mobile Computing (IEEE TMC), in press. [CCF A]
Linchang Xiao, Zili Xiao, Di Wu, Miao Hu, and Yipeng Zhou.
CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds,
in IEEE Transactions on Mobile Computing (IEEE TMC), in press. [CCF A]
Linchang Xiao, Xianzhi Zhang, Di Wu, Miao Hu, Yipeng Zhou, Shui Yu.
History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms,
in IEEE Transactions on Services Computing (IEEE TSC), in press. [CCF A]
Mohamad Arafeh, Ahmad Hammoud, Mohsen Guizani, Azzam Mourad, Hadi Otrok, Hakima Ould-Slimane, Zbigniew Dziong, Chang-Dong Wang, and Di Wu.
WFSL: Warmup-Based Federated Sequential Learning,
in IEEE Internet of Things Journal (IEEE JIOT), in press.
Qinglin Zhao, Li Feng, Mengchu Zhou, Di Wu, Xiaofen Wang, and Peiyun Zhang.
Full-Duplex Time-Domain Contention for WiFi Networks: Opportunities and Challenges,
in IEEE Wireless Communications (IEEE WCM), Volume: 31, Issue: 6, Page(s): 142-151, December 2024.
Xuezheng Liu, Yipeng Zhou, Di Wu, Miao Hu, Jessie Hui Wang, and Mohsen Guizani.
FedDP-SA: Boosting Differentially Private Federated Learning via Local Dataset Splitting,
in IEEE Internet of Things Journal (IEEE JIOT), Volume: 11, Issue: 19, Page(s): 31687-31698, OCTOBER 1, 2024.
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 (IEEE TIFS), Volume: 19, Page(s): 892-906, 2024. [CCF A]
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,
in IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), Volume: 21, Issue: 4, Page(s): 3280 - 3294, July-Aug. 2024. [CCF A]
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,
in IEEE JSAC special issue on Human-Centric Communication and Networking for Metaverse over 5G and Beyond Networks (IEEE JSAC), Volume: 42, Issue: 4, Page(s): 978-989, APRIL 2024. [CCF A]
Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen.
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm,
in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), Volume: 34, Issue: 12, Page(s): 3073 - 3089, December 2023. [CCF A]
Xuezheng Liu, Zirui Yan, Yipeng Zhou, Di Wu, Xu Chen, Jessie Hui Wang.
Optimizing Parameter Mixing under Constrained Communications in Parallel Federated Learning,
in IEEE/ACM Transactions on Networking (IEEE/ACM TON), Volume: 31, Issue: 6, Page(s): 2640-2652, DECEMBER 2023. [CCF A]
Miao Hu, Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, Xu Chen, Di Wu.
AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning,
in IEEE Transactions on Mobile Computing (IEEE TMC), Volume: 23, Issue: 1, Page(s): 194 - 208, January 2024. [CCF A] (ESI Highly Cited Paper)
Zelong Wang, Zhenxiao Luo, Miao Hu, Min Chen and Di Wu.
Vaser: Optimizing 360-degree Live Video Ingest via Viewport-Aware Neural Enhancement,
in IEEE Transactions on Broadcasting (IEEE TBC), Volume: 69, Issue: 4, Page(s): 927-940, DECEMBER 2023.
Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Jesse Hui Wang, Shui Yu.
Optimizing the Numbers of Queries and Replies in Convex Federated Learning with Differential Privacy,
in IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), Volume: 20, Issue: 6, Page(s): 4823 - 4837, Nov.-Dec. 2023. [CCF A]
Kongyange Zhao, Zhi Zhou, Xu Chen, Ruiting Zhou, Xiaoxi Zhang, Shuai Yu, Di Wu.
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale,
in IEEE Transactions on Mobile Computing (IEEE TMC), Volume: 22, Issue: 10, Page(s): 5870 - 5886, 01 October 2023. [CCF A]
Mengyu Yang, Zhenxiao Luo, Miao Hu, Min Chen, Di Wu.
A Comparative Measurement Study of Point Cloud-based Volumetric Video Codecs,
in IEEE Transactions on Broadcasting (IEEE TBC), Volume: 69, Issue: 3, Page(s): 715 - 726, September 2023.
Rui Wang, Yixue Hao, Long Hu, Jincai Chen, Min Chen, Di Wu.
Self-Supervised Learning with Data-Efficient Supervised Fine-Tuning for Crowd Counting,
in IEEE Transactions on Multimedia (IEEE TMM), Volume: 25, Page(s): 1538-1546, 2023.
Yiming Miao, Kai Hwang, Di Wu, Yixue Hao, Min Chen.
Drone Swarm Path Planning for Mobile Edge Computing in Industrial Internet of Things,
in IEEE Transactions on Industrial Informatics (IEEE TII),
Volume: 19, Issue: 5, Page(s): 6836-6848, May 2023.
Wenjing Xiao, Yuan Tang, Jia Liu, Di Wu, Bander A. Alzahrani, Yixue Hao, Ning Zhou.
Semantic-Driven Efficient Service Network Towards Smart Healthcare System in Intelligent Fabric,
in IEEE Transactions on Network Science and Engineering (IEEE TNSE), Volume: 10, Issue: 5, Page(s): 2480 - 2489, September 2023.
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 (IEEE/ACM TON), Volume: 31, Issue: 1, Page(s): 279-293, FEBRUARY 2023. [CCF A]
Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Di Wu.
Live360: Viewport-Aware Transmission Optimization in Live 360-Degree Video Streaming,
in IEEE Transactions on Broadcasting (IEEE TBC), Volume: 69, Issue: 1, Page(s): 85-96, MARCH 2023.
Gangqiang Zhou, Zhenxiao Luo, Miao Hu, and Di Wu.
PreSR: Neural-Enhanced Adaptive Streaming of VBR-Encoded Videos With Selective Prefetching,
in IEEE Transactions on Broadcasting (IEEE TBC), Volume: 69, Issue: 1, Page(s): 49-61, MARCH 2023.
Yuan Tang, Ning Zhou, Qiao Yu, Di Wu, Chong Hou, Guangming Tao, Min Chen.
Intelligent Fabric Enabled 6G Semantic Communication System for In-Cabin Scenarios,
in IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Volume: 24, Issue: 1, Page(s): 1153-1162, JANUARY 2023.
Rui Wang, Jinfeng Xu, Jia Liu, Di Wu, Yixue Hao, Xianzhi Li, Min Chen.
TIF: Trajectory and Information Flow Coupling Mechanism for Behavior Analysis in Autonomous Driving,
in IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Volume: 23, Issue: 12, Page(s): 25216-25225, DECEMBER 2022.
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 (IEEE/ACM TON), Volume: 30, Issue: 5, Page(s): 2201 - 2215, October 2022. [CCF A]
Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, Xi Zheng, Jessie Hui Wang, Song Guo and Chao Li.
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning,
in IEEE Internet of Things Journal (IEEE JIOT),
Volume: 9, Issue: 22, Page(s): 22147-22157, NOVEMBER 15, 2022.
Wenjing Xiao, Yiming Miao, Giancarlo Fortino, Di Wu, Min Chen, Kai Hwang.
Collaborative Cloud-Edge Service Cognition Framework for DNN Configuration toward Smart IIoT,
in IEEE Transactions on Industrial Informatics (IEEE TII), Volume: 18, Issue: 10, Page(s): 7038 - 7047, October 2022.
Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, Di Wu.
LiveSR: Enabling Universal HD Live Video Streaming with Crowdsourced Online Learning,
in IEEE Transactions on Multimedia (IEEE TMM), Volume: 25, Page(s): 2788 - 2798, 14 February 2022.
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 (IEEE TNSE), Volume: 9, Issue: 4, Page(s): 2708 - 2720, July-Aug. 1 2022.
Yipeng Zhou, Jun Liu, Jessie Hui Wang, Jilong Wang, Guanfeng Liu, Di Wu, Chao Li, Shui Yu.
USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training,
in Elsevier Information Sciences (Elsevier INS),
Volume 606, Pages 688-701, August 2022.
Miao Hu, Di Wu, Yipeng Zhou, Xu Chen, Min Chen.
Incentive-Aware Autonomous Client Participation in Federated Learning,
in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), Volume: 33, Issue: 10, Page(s): 2612-2627, Oct. 2022. [CCF A]
Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James 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 (IEEE TPDS), Volume: 33, Issue: 10, Page(s): 2597 - 2611, Oct. 2022. [CCF A]
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 (IEEE TVT), Volume: 71, Issue: 3, Page(s): 3241 - 3254, March 2022.
Zhengkai Shi, Yipeng Zhou, Di Wu, Chen Wang.
PPVC: Online Learning Towards Optimized Video Content Caching,
in IEEE/ACM Transactions on Networking (IEEE/ACM TON), Volume: 30, Issue: 3, Page(s): 1029 - 1044, June 2022. [CCF A]
Miao Hu, Di Wu, Weigang Wu, Julian Cheng, and Min Chen.
Quantifying the Influence of Intermittent Connectivity on Mobile Edge Computing,
in IEEE Transactions on Cloud Computing (IEEE TCC), Volume: 10, Issue: 1, Page(s): 619 - 632, Jan.-March 1 2022.
Miao Hu, Di Wu, Run Wu, Zhenkai Shi, Min Chen, Yipeng Zhou.
RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems,
in IEEE Transactions on Services Computing (IEEE TSC), Volume: 15, Issue: 5, Page(s): 2969 - 2981, Sept.-Oct. 2022. [CCF A]
Wen Bai, Yadi Chen, Di Wu, Zhichuan Huang, Yipeng Zhou, Chuan Xu.
Generalized Core Maintenance of Dynamic Bipartite Graphs,
in Springer Data Mining and Knowledge Discovery(Springer DMKD), Volume 36, pages: 209–239, 2022.
Shuai Yu, Xu Chen, Shuai Wang, Lingjun Pu, Di Wu.
An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction,
in IEEE Transactions on Mobile Computing (IEEE TMC),
Volume: 21, Issue: 2, Page(s): 421 - 432, Feb. 2022. [CCF A]
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 (IEEE TMM), Volume: 23, Page(s): 3853-3866, 2021.
Jiaqiang Liu, Huan Yan, Yong Li, Dmytro Karamshuk, Nishanth Sastry, Di Wu, and Depeng Jin.
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods,
in IEEE Transactions on Big Data (IEEE TBD), Volume: 7, Issue: 5, Page(s): 873-884, NOVEMBER 2021.
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 (IEEE TCSVT), Volume: 31, Issue: 10, Page(s): 4107-4120, OCTOBER 2021.
Jieyu Xu, Wen Bai, Miao Hu, Haibo Tian, Di Wu.
Bitcoin Miners: Exploring a Covert Community in the Bitcoin Ecosystem,
in Peer-to-Peer Networking and Applications (PPNA), 14, pages 644–654, 2021.
Min Chen, Xiaobo Shi , Yin Zhang, Di Wu, Mohsen Guizani.
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network,
in IEEE Transactions on Big Data (IEEE TBD),
Volume: 7, Issue: 4, Page(s): 750-758, SEPTEMBER 2021.
Yongfeng Qian, Yujun Ma, Jing Chen, Di Wu, Daxin Tian, Kai Hwang.
Optimal Location Privacy Preserving and Service Quality Guaranteed Task Allocation in Vehicle-Based Crowdsensing Networks,
in IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Volume: 22, Issue: 7, Page(s): 4367-4375, JULY 2021.
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 (IEEE TMC),
Volume: 20, Issue: 3, Page(s): 877-892, March 2021. [CCF A]
Canhui Chen, Xu Chen, Jiangshan Yu, Weigang Wu, Di Wu.
Impact of Temporary Fork on the Evolution of Mining Pools in Blockchain Networks: An Evolutionary Game Analysis,
in IEEE Transactions on Network Science and Engineering (IEEE TNSE), Volume: 8, Issue: 1, Page(s): 400-418, JANUARY-MARCH 2021.
Shuai Yu, Xu Chen, Zhi Zhou, Xiaowen Gong, and Di Wu.
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network,
in IEEE Internet of Things Journal (IEEE JIOT),
Volume: 8, Issue: 4, Page(s): 2238-2251, Feb 2021. (Best Paper Runner-Up Award) (ESI Highly Cited Paper)
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 Elsevier Journal of Network and Computer Applications (Elsevier JNCA), Volume 178, 15 March 2021, 102970.
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 (IEEE TNSE),
Volume: 7, Issue: 4, Page(s): 2702-2713, OCTOBER-DECEMBER 2020.
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 (IEEE TPDS),
Volume: 31, Issue: 9, Page(s): 2139-2154, September 2020. [CCF A]
Yixue Hao, Miao Li, Di Wu, Min Chen, Mohammad Mehedi Hassan, G Fortino.
Human-Like Hybrid Caching in Software-defined Edge Cloud,
in IEEE Internet of Things Journal (IOTJ), SI Edge-Cloud Interplay based on SDN & NFV,
Volume: 7, Issue: 7, Page(s): 5806-5815, JULY 2020.
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 (Springer MTAP),
79, pages 19289–19306, July 2020.
Canrui Wu, Chen Wang, Yipeng Zhou, Di Wu, Min Chen, Hui Wang, Jing Qin.
Exploiting User Reviews for Automatic Movie Tagging,
in Springer Multimedia Tools and Applications (Springer MTAP),
79, pages 11399–11419, May 2020.
Wen Bai, Yadi Chen, Di Wu.
Efficient Temporal Core Maintenance of Massive Graphs,
in Elsevier Information Sciences (Elsevier INS),
Volume 513, Pages 324-340, March 2020.
Shuai Yu, Xu Chen, Lei Yang, Di Wu, Mehdi Bennis, and Junshan Zhang.
Intelligent Edge: Leveraging Deep Imitation Learning for Mobile Edge Computation Offloading,
in IEEE Wireless Communications (IEEE WCM),
Volume: 27, Issue: 1, Page(s): 92 - 99, February 2020.
Min Chen, Ping Zhou, Di Wu, Long Hu, Mohammad Mehedi Hassan, Atif Alamri.
AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop framework,
in Elsevier Information Fusion (Elsevier INFFUS),
Volume: 54, Page(s): 1-9, Jan. 2020.
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 (IEEE TPDS), Volume: 30, Issue:8, Page(s): 1802-1815, Aug. 2019. [CCF A]
Chang Wen, Xin Yan, Qiong Gu, Jiewen Du, Di Wu, Yutong Lu, Huihao Zhou, Jun Xu.
Systemic Studies on the Protocol and Criteria for Selecting a Covalent Docking Tool,
in Molecules, 24(11), 2183, 2019.
Minghui Min, Xiaoyue Wan, Liang Xiao, Ye Chen, Minghua Xia, Di Wu, Huaiyu Dai.
Learning-Based Privacy-Aware Offloading for Healthcare IoT with Energy Harvesting,
in IEEE Internet of Things Journal (IEEE JIOT), Volume: 6 , Issue: 3, Page(s): 4307 - 4316, June 2019.
Xiuming Li, Xin Ya, Qiong Gu, Huihao Zhou, Di Wu and Jun Xu.
DeepChemStable: Chemical Stability Prediction with an Attention-based Graph Convolution Network,
in Journal of Chemical Information and Modeling (JCIM), 59(3), pp 1044–1049, 2019.
Yin Zhang, Yongfeng Qian, Di Wu, M. Shamim Hossain, Ahmed Ghoneim, Min Chen.
Emotion-Aware Multimedia System Security,
in IEEE Transactions on Multimedia (IEEE TMM), Volume: 21, Issue:3, Page(s): 617-624, Mar. 2019.
Minghui Min, Liang Xiao, Dongjin Xu, Peng Cheng, Di Wu, Weihua Zhuang.
Learning-based Computation Offloading for IoT Devices with Energy Harvesting,
in IEEE Transactions on Vehicular Technology (IEEE TVT), Volume: 68, Issue: 2, Page(s): 1930 - 1941, Feb. 2019. (ESI Highly Cited Paper)
Min Chen, Yong Cao, Rui Wang, Yong Li, Di Wu, Zhongchun Liu.
DeepFocus: Deep Encoding Brainwaves and Emotions with Multi-Scenario Behavior Analytics for Human Attention Enhancement,
in IEEE Network (IEEE MNET), Volume: 33, Issue: 6, Page(s): 70 - 77, Nov.-Dec. 2019.
Zhaobin Deng, Yipeng Zhou, Di Wu, Guoqiao Ye, Min Chen, Liang Xiao.
Utility Maximization of Cloud-based In-Car Video Recording over Vehicular Access Networks,
in IEEE Internet of Things Journal (IEEE JIOT), Volume: 5, Issue: 6, Page(s): 5213 - 5226, Dec. 2018.
Xu Chen, Zhi Zhou, Weigang Wu, Di Wu, and Junshan Zhang.
Socially-Motivated Cooperative Mobile Edge Computing,
in IEEE Network Magazine (IEEE MNET), Volume: 32, Issue: 6, Page(s): 177 - 183, November/December 2018. (IF: 7.197)
Yipeng Zhou, Terence H. 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 (IEEE TCSVT), Volume: 28, Issue:12, Page(s): 3492-3503, Dec. 2018.
Qingyong Wang, Hong-Ning Dai, Di Wu, Hong Xiao.
Data Analysis on Video Streaming QoE over Mobile Networks,
in EURASIP Journal on Wireless Communications and Networking, 2018:173, Dec 2018.
Liang Xiao, Xiaoyue Wan, Xiaozhen Lu, Yanyong Zhang, Di Wu.
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?,
in IEEE Signal Processing Magazine (IEEE SPM), Special Issue on “Signal Processing and the Internet of Things”, Volume: 35 , Issue: 5 , Page(s): 41 - 49, Sept. 2018.
Yipeng Zhou, Jiqiang Wu, Terence H. Chan, Siu Wai Ho, Dah Ming Chiu, Di Wu.
Interpreting Video Recommendation Mechanisms by Mining View Count Traces,
in IEEE Transactions on Multimedia (IEEE TMM), Volume: 20, Issue:8, Page(s): 2153-2165, August 2018.
Min Chen, Yixue Hao, Di Wu, Yong Li, Kai Hwang.
Opportunistic Task Scheduling over Co-Located Clouds in Mobile Environment,
in IEEE Transactions on Services Computing (IEEE TSC), Volume: 11, Issue:3, Page(s): 549-561, June 2018. [CCF A] (ESI Highly Cited Paper)
Weiwei Huang, Yipeng Zhou, Xueyan Xie, Di Wu, Min Chen, Edith Ngai.
Buffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming,
in IEEE Transactions on Broadcasting (IEEE TBC), Volume: 64, Issue:2, Page(s): 590-601, June 2018.
Yipeng Zhou, Xuhong Gu, Di Wu, Min Chen, Terence H. Chan, Siu Wai Ho.
Statistical Study of View Preferences for Online Videos with Cross-platform Information,
in IEEE Transactions on Multimedia (IEEE TMM), Volume 20, Issue 6, 1512-1524, June 2018.
Jiaqiang Liu, Huan Yan, Yong Li, Di Wu, Li Su and Depeng Jin.
Cache Behavior Characterization and Validation over Large-scale Video Data,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume: 28, Issue 3, 734-745, March 2018.
Peng Ding, Xin Yan, Zhihong Liu, Jiewen Du, Yunfei Du, Yutong Lu, Di Wu, Yuehua Xu, Huihao Zhou, Qiong Gu, Jun Xu.
PTS: a Pharmaceutical Target Seeker,
in Database, Volume 2017, Pages 1-7, 28 December 2017.
Xu Chen, Lingjun Pu, Lin Gao, Weigang Wu, Di Wu.
Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing,
in IEEE Wireless Communications, Volume 24, Issue 4, 64-71, Aug. 2017. (IF: 8.972)
Yuanhuan Zheng, Di Wu, Yihao Ke, Can Yang, Min Chen, and Guoqing Zhang.
Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 27, Issue 8, Pages 1777 - 1789, August 2017.
Yin Zhang, Min Chen, Nadra Guizani, Di Wu, and Victor C. M. Leung.
SOVCAN: Safety-Oriented Vehicular Controller Area Network,
in IEEE Communications Magazine (IEEE COMMAG), Volume 55, Issue 8, Pages 94 - 99, August 2017. (ESI Highly Cited Paper)
Gaoxiang Li, Di Wu, Jiefeng Hu, Yong Li, M. Shamim Hossain and Ahmed Ghoneim.
HELOS: Heterogeneous Load Scheduling for Electric Vehicle-integrated Microgrids,
in IEEE Transactions on Vehicular Technology (IEEE TVT), Volume 66, Issue 7, Pages 5785 - 5796, July 2017.
Guoqiao Ye, Gaoxiang Li, Di Wu, Xu Chen, Yipeng Zhou.
Towards Cost Minimization with Renewable Energy Sharing in Cooperative Residential Communities,
in IEEE Access, Volume 55, Issue 1, Pages 11688-11699, December 2017.
Min Chen, Yujun Ma, Yong Li, Di Wu, Yin Zhang, Chan-Hyun Youn.
Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems,
in IEEE Communications Magazine (IEEE COMMAG), Volume 55, Issue 1, Pages 54-61, January 2017. (ESI Highly Cited Paper)
Yin Zhang, Min Chen, Dijiang Huang, Di Wu, Yong Li.
iDoctor: Personalized and Professionalized Medical Recommendations Based on Hybrid Matrix Factorization,
in Elsevier Future Generation Computer Systems (Elsevier FGCS), Volume 66, Pages 30-35, January 2017. (ESI Highly Cited Paper)
Tingting Wang, Di Wu, Jiaming Zhang, Min Chen, Yipeng Zhou.
Measuring and Analyzing Third-party Mobile Game App Stores in China,
in IEEE Transactions on Network and Service Management (IEEE TNSM), Volume 13, Issue 4, pages 793-805, Dec. 2016.
Min Chen, Yixue Hao, Meikang Qiu, Jeungeun Song, Di Wu, Iztok Humar.
Mobility-aware Caching and Computation Offloading in 5G Ultradense Cellular Networks,
in Sensors, 16(7), 974, 2016
Jian He, Di Wu, Xueyan Xie, Min Chen, Yong Li and Guoqing Zhang.
Efficient Upstream Bandwidth Multiplexing for Cloud Video Recording Services,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 26, Issue 10, pages 1893 - 1906 , Oct. 2016.
Xueshi Hou, Yong Li, Min Chen, Di Wu, Depeng Jin, and Sheng Chen.
Vehicular Fog Computing: A Viewpoint of Vehicles As the Infrastructures,
in IEEE Transactions on Vehicular Technology (IEEE TVT), Volume 65, Issue 6, pages 3860-3873 , June 2016. (ESI Highly Cited Paper)
Xiang Deng, Di Wu, Junfeng Shen and Jian He.
Eco-Aware Online Power Management and Load Scheduling for Green Cloud Datacenters,
in IEEE Systems Journal (IEEE JSYST), Volume 10, Issue 1, pages 78-87, March 2016.
Hao Tian, Di Wu, Jian He, Yuedong Xu, and Min Chen.
On Achieving Cost-Effective Adaptive Cloud Gaming in Geo-distributed Data Centers,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 25, Issue 12, pages 2064-2077, Dec. 2015.
Zheng Xue, Di Wu, Jian He, Xiaojun Hei, and Yong Liu.
Playing High-End Video Games in the Cloud: A Measurement Study,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 25, Issue 12, pages 2013-2025, Dec. 2015.
Di Wu, Jian Huang, Jian He, Min Chen, and Guoqing Zhang.
Toward Cost-Effective Mobile Video Streaming via Smart Cache with Adaptive Thresholding,
in IEEE Transactions on Broadcasting (IEEE TBC), Volume 61, Issue 4, pages 639-650, Dec. 2015.
[PDF]
Hui Li, Di Wu, Gaoxiang Li, Yihao Ke, Wenjie Liu, Yuanhuan Zheng, Xiaola Lin.
Enhancing Telco Service Quality with Big Data Enabled Churn Analysis: Infrastructure, Model, and Deployment,
in Journal of Computer Science and Technology (JCST), Volume 30, Issue 6, pp. 1201-1214, November 2015.
Gaoxiang Li, Di Wu, Junfeng Shen, and Tingting Li.
Deciphering Privacy Leakage in Microblogging Social Networks: A Measurement Study,
in Wiley Security and Communication Networks (Wiley SCN), Volume 8, Issue 17, pages 3191-3204, November 2015.
Min Chen, Yixue Hao, Yong Li, Chin-Feng Lai, and Di Wu.
On the Computation Offloading at Ad Hoc Cloudlet: Architecture and Service Modes,
in IEEE Communications Magazine (IEEE COMMAG), Vol. 53, No. 6, pp. 18-24, June 2015. (ESI Highly Cited Paper)
Zheng Xue, Di Wu, Xueyan Xie, and Yonggang Wen.
SmartGW: Enabling Bandwidth-Efficient Group Watching in Cloud Social TV Systems,
in ACM/Springer Mobile Networks and Applications (ACM/Springer MONET), Volume 20, Issue 3, Page 308-319, June 2015.
Di Wu, Zheng Xue and Jian He.
iCloudAccess: Cost-Effective Streaming of Video Games from the Cloud with Low Latency,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 24, Issue 8, Pages 1405 - 1416, Aug. 2014.
Popular Articles of IEEE TCSVT (among the Top 50 most frequently downloaded articles for IEEE TCSVT, Sep 2014, Feb 2015)
Jian He, Yonggang Wen, Jianwei Huang and Di Wu.
On the Cost-QoE Trade-off for Cloud-based Video Streaming under Amazon EC2's Pricing Models,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 24, Issue 4, Pages 669 - 680, Apr. 2014.
Zhijian Chen, Wenhai Luo, Dan Wu, Xiang Huang, Jian He, Yuanhuan Zheng and Di Wu.
Exploiting Application-level Similarity to Improve SSD Cache Performance in Hadoop,
in The Journal of Supercomputing (Springer JSUP), Volume 70, Issue 3, pp 1331–1344, December 2014.
Jian He, Zheng Xue, Di Wu, Dapeng Oliver Wu, and Yonggang Wen.
CBM: Online Strategies on Cost-aware Buffer Management for Mobile Video Streaming,
in IEEE Transactions on Multimedia (IEEE TMM), Volume 16, Issue 1, Pages 242 - 252, Jan. 2014.
Jian He, Di Wu, Yupeng Zeng, Xiaojun Hei, and Yonggang Wen.
Toward Optimal Deployment of Cloud-Assisted Video Distribution Services,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 23, Issue 10, Pages 1717 - 1728, Oct. 2013.
Di Wu, Yi Liang, Jian He, and Xiaojun Hei.
Balancing Performance and Fairness in P2P Live Video Systems,
in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Volume 23, Issue 6, Pages 1029 - 1039, June 2013.
Di Wu and Zheng Xue.
Cloud Gaming: From Concept to Reality,
in IEEE COMSOC MMTC E-Letter, Special Issue on “Cloud Computing for Multimedia” (Invited paper), Vol. 8, No. 6, November 2013.
Aikun Li, Yi Liang, and Di Wu.
Utilizing Layered Taxation to Provide Incentives in P2P Streaming Systems,
in Elsevier Journal of Systems and Software (Elsevier JSS), Volume 85, Issue 8, Pages 1749-1756, 2012.
Chao Zhang, Prithula Dhungel, Di Wu and Keith W. Ross.
Unraveling the BitTorrent Ecosystem,
in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), Volume 22, Issue 7, Pages 1164 - 1177, July 2011. [CCF A]
Di Wu, Chao Liang, Yong Liu and Keith W. Ross.
Redesigning Multi-Channel P2P Live Video Systems with View-Upload Decoupling,
in Elsevier Computer Networks, Special Issue on P2P Technologies for Emerging Wide-Area Collaborative Services and Applications, Volume 54, Issue 12, Pages 2007-2018, 2010.
Di Wu, Yong Liu and Keith W. Ross.
Modeling and Analysis of Multi-Channel P2P Live Video Systems,
in IEEE/ACM Transactions on Networking (IEEE/ACM ToN), Volume 18, Issue 4, Pages 1248-1260, Aug. 2010. [CCF A]
Prithula Dhungel, Di Wu and Keith Ross.
Measurement and Mitigation of BitTorrent Leecher Attacks,
in Elsevier Computer Communications, (Elsevier Comcom), Volume 32, Issue 17, Pages 1852-1861, Nov 2009.
Di Wu, Ye Tian and Kam-Wing Ng.
Resilient and Efficient Load Balancing in Distributed Hash Tables,
in Elsevier Journal of Network and Computer Applications (Elsevier JNCA), Volume 32, Issue 1, Pages 45-60, 2009.
Ye Tian, Di Wu, Guangzhong Sun and Kam-Wing Ng.
Improving Stability for Peer-to-Peer Multicast Overlays by Active Measurements,
in Elsevier Journal of System Architecture (Elsevier JSA), Volume 54, Issues 1-2, Pages 305-323, 2008.
Ye Tian, Di Wu and Kam-Wing Ng.
A Novel Caching Mechanism for Peer-to-Peer Based Media-on-Demand Streaming,
in Elsevier Journal of System Architecture (Elsevier JSA), Volume 54, Issues 1-2, Pages 55-69, 2008.
Di Wu, Ye Tian, Kam-Wing Ng and Anwitaman Datta.
Analysis of the Interplay between Object Maintenance and Churn,
in Elsevier Computer Communications, Special Issue on Foundations of Peer-to-Peer Computing (Elsevier Comcom), Volume 31, Issue 2, Pages 220-239, 2008.
Ye Tian, Di Wu and Kam-Wing Ng.
Distributed Rating Systems for Peer-to-Peer Networks,
in The Computer Journal, Oxford University Press, Volume 51, Issue 2, Pages 162-180, 2008.
Ye Tian, Di Wu and Kam-Wing Ng.
Performance Analysis and Improvement for BitTorrent-like File Sharing Systems,
in Concurrency and Computation: Practice and Experience (CCPE Journal), Volume 19, Issue 13 , Pages 1811 - 1835, June 2007
Di Wu, Ye Tian and Kam-Wing Ng.
An Analytical Study on Optimizing the Lookup Performance of Distributed Hash Table Systems under Churn,
in Concurrency and Computation: Practice and Experience (CCPE Journal), Volume 19, Issue 4, Pages 543 - 569, Jan 2007
Conference Papers
Miao Hu, Qi He, Di Wu.
QLLMS: Quantization-adaptive LLM Scheduling for Partially Informed Edge Serving Systems,
in IEEE International Conference on Computer Communications (IEEE INFOCOM), London, United Kingdom, 19–22 May 2025. [CCF A]
Siyuan Wu, Yipeng Zhou, Miao Hu and Di Wu.
[https:www.npc-conference.com/
in Proc. of the 20th Annual IFIP International Conference on Network and Parallel Computing (NPC 2024), Haikou, China, Dec. 7-8, 2024.
Linchang Xiao, Zili Xiao, Di Wu, Miao Hu.
EWS: Towards Cost-Effective Job Scheduling via Combinatorial Multi-Armed Bandit Learning,
in Proc. of the 17th International Conference on Networking, Architecture, and Storage (NAS 2024), Guangzhou, China, Nov 29 − Dec 1, 2024.
Jiaji Guo, Wen Sun, Shi-ting Wen, Di Wu, and Yipeng Zhou.
Facilitating Feature Selection and Extraction in Clinical Trials with Large Language Models,
in Proc. of The 20th International Conference Advanced Data Mining and Applications (ADMA 2024), Sydney, Australia, 3–5 December, 2024.
Qing Lu, Miao Hu, Di Wu, Yipeng Zhou, Mohsen Guizani, and Quan Z. Sheng.
FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning,
in Proc. of IEEE International Conference on Data Mining (IEEE ICDM 2024), Abu Dhabi, UAE, 9-12 December 2024.
Beizhang Guo, Juntao Bao, Baili Chai, Di Wu, Miao Hu.
Lumos: Optimising Live 360-degree Video Streaming via Spatio-Temporal Integrated Neural Enhancement,
in Proc. of ACM Multimedia Conference (MM 2024), Melbourne, Australia, 28 October - 1 November 2024. [CCF A]
Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng.
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees,
in Proc. of The Forty-first International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21-27 July 2024. [CCF A]
Yinling Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Ronghua Li.
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning,
in Proc. of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 03-09 August 2024. [CCF A]
Jiang Wu, Xuezheng Liu, Miao Hu, Hongxu Lin, Min Chen, Yipeng Zhou and Di Wu.
GazeFed: Privacy-Aware Personalized Gaze Prediction for Virtual Reality,
in Proc. of IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQOS 2024), Guangzhou, China, 19–21 June 2024.
Latif U. Khan, Mohsen Guizani, Chang-Dong Wang, Di Wu.
Resource Optimized Network Virtualization Empowered Metaverse for Wireless Networks,
in Proc. of IEEE International Conference on Communications (ICC 2024), Denver, CO, USA, 9–13 June 2024.
Chengrun Yang, Gangqiang Zhou, Miao Hu, Qinglin Zhao, and Di Wu.
CoarseUCB: A Context-Aware Bitrate Adaptation Algorithm for VBR-encoded Video Streaming,
in Proc. of The 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024), Ayia Napa, Cyprus, 27–31 May 2024.
Jiahong Xu, Miao Hu, Qinglin Zhao, and Di Wu.
EASR: Enabling Neural-Enhanced Video Streaming on Mobile Devices with Edge Assistance,
in Proc. of The 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024), Ayia Napa, Cyprus, 27–31 May 2024. (Best Paper Award)
Zili Xiao, Ke Liu, Miao Hu, and Di Wu.
DeepCTS: A Deep Reinforcement Learning Approach for AI Container Task Scheduling,
in Proc. of Asia Conference on Algorithms, Computing and Machine Learning (CACML 2024), Shanghai, China, Mar 22-24, 2024.
Pengshan Liao, Xinkai Che, Miao Hu, and Di Wu.
Cognitive Diagnosis Driven Programming Ability Evaluation,
in Proc. of International Conference on Artificial Intelligence and Computer Engineering(ICAICE 2023), Dalian, China, Nov. 17-19, 2023.
Lei Tan, Miao Hu, Yipeng Zhou, Di Wu.
Analyzing the Convergence of Federated Learning with Biased Client Participation,
in Proc. of International Conference Advanced Data Mining and Applications (ADMA'23), Shenyang, China, Aug 21-23, 2023.
Lei Tan, Yunchao Yang, Miao Hu, Yipeng Zhou and Di Wu.
FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning,
in Proc. of International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2023), Tianjin, China, Oct 20-22, 2023.
Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng.
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning,
in Proc. of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, S.A.R, August 19-25, 2023. [CCF A]
Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu.
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment,
in Proc. of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, S.A.R, August 19-25, 2023. [CCF A]
Mengyu Yang, Di Wu, Zelong Wang, Miao Hu, Yipeng Zhou.
Understanding and Improving Perceptual Quality of Volumetric Video Streaming,
in Proc. of IEEE International Conference on Multimedia & Expo (IEEE ICME'23), Brisbane, Australia, July 10-14, 2023.
Zhenxiao Luo , Baili Chai, Zelong Wang, Miao Hu, and Di Wu.
Masked360: Enabling Robust 360-degree Video Streaming with Ultra Low Bandwidth Consumption,
in IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), in press.
(also accepted by IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), Shanghai, China, March 25-29, 2023.) [CCF A]
Jiang Wu, Xuezheng Liu, Jiahao Liu, Miao Hu, Di Wu.
DPFed: Toward Fair Personalized Federated Learning with Fast Convergence,
in International Conference on Mobility, Sensing and Networking (IEEE MSN 2022), Guangzhou, China, December 14-16, 2022.
Zelong Wang, Zhenxiao Luo, Miao Hu, Di Wu, Youlong Cao, Yi Qin.
Revisiting Super-Resolution for Internet Video Streaming,
in the 32st Workshop on Network and Operating System Support for Digital Audio (ACM NOSSDAV 2022),
Athlone, Ireland, June 17, 2022.
Miao Hu, Zhenxiao Luo, Yipeng Zhou, Xuezheng Liu, Di Wu.
Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications,
in IEEE International Conference on Computer Communications (IEEE INFOCOM), May 2-5, 2022. [CCF A]
Xianzhi Zhang, Guoqiao Ye, Miao Hu, Di Wu.
Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast,
in The 22nd International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2021), Guangzhou, China, December 17-19, 2021. (Best Paper Award)
Xuezheng Liu, Ke Liu, Guoqiao Ye, Miao Hu, Yipeng Zhou, Di Wu.
Gaming at the Edge: A Weighted Congestion Game Approach for Latency-Sensitive Scheduling,
in International Conference on Mobility, Sensing and Networking (IEEE MSN 2021), Exeter, UK, December 13-15, 2021.
Zhenxiao Luo, Guopin Tang, Chen Wang, Yipeng Zhou, Xi Zheng, Jessie Hui Wang, Gang Liu, Di Wu.
Generating High-quality Movie Tags from Social Reviews: A Learning-driven Approach,
in The 14th IEEE International Conference on Cyber, Physical and Social Computing (IEEE CPSCom 2021), Melbourne, Australia, December 06-08, 2021.
Zhenxiao Luo, Yuxiao Zhang, Zelong Wang, Miao Hu, Di Wu.
Characterizing the Performance of Deep-Learning Inference of Edge Video Analytics,
in CCF Bigdata 2021, Guangzhou, China, November 18-20, 2021.
Zhenxiao Luo, Zelong Wang, Jinyu Chen, Miao Hu, Yipeng Zhou, Tom Z. J. Fu, Di Wu.
CrowdSR: Enabling High-Quality Video Ingest in Crowdsourced Livecast via Super-Resolution,
in the 31st Workshop on Network and Operating System Support for Digital Audio (ACM NOSSDAV 2021),
Istanbul, Turkey, Sept. 2021.
Gangqiang Zhou, Run Wu, Miao Hu, Yipeng Zhou, Tom Z. J. Fu, Di Wu.
Vibra: Neural Adaptive Streaming of VBR-encoded Videos,
in the 31st Workshop on Network and Operating System Support for Digital Audio (ACM NOSSDAV 2021),
Istanbul, Turkey, Sept. 2021.
Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li, Michael Sheng.
P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees,
in IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021. [CCF A]
Run Wu, Gangqiang Zhou, Miao Hu, Di Wu.
VBSSR: Variable Bitrate Encoded Video Streaming with Super-Resolution on HPC Education Platform,
in the 11th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2020),
Shenzhen, China, December 28-30, 2020.
Run Wu, Chenyu Luo, Miao Hu, Di Wu.
Inferring Prerequisite Relationships among Learning Resources on Online HPC Education Platform,
in the 11th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2020),
Shenzhen, China, December 28-30, 2020.
Chen Wang, Shilu Lin, Zhicong Zhong, Yipeng Zhou, Di Wu.
Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data,
in the 27th International Conference on Neural Information Processing (ICONIP 2020),
Bangkok, Thailand, Nov 18-20, 2020.
Yangfan Jiang, Yipeng Zhou, Di Wu, Chao Li, Yan Wang.
On the Detection of Shilling Attacks in Federated Collaborative Filtering,
in the 39th International Symposium on Reliable Distributed Systems (SRDS 2020),
Shanghai, China, September 21-24, 2020.
Jianchao He, Miao Hu, Yipeng Zhou, Di Wu.
LiveClip: Towards Intelligent Mobile Short-Form Video Streaming with Deep Reinforcement Learning,
in the 29th Workshop on Network and Operating System Support for Digital Audio (ACM NOSSDAV 2020),
Istanbul, Turkey, June 10, 2020.
Jiawen Chen, Miao Hu, Zhenxiao Luo, Zelong Wang, Di Wu.
SR360: Boosting 360-Degree Video Streaming with Super-Resolution,
in the 29th Workshop on Network and Operating System Support for Digital Audio (ACM NOSSDAV 2020),
Istanbul, Turkey, June 10, 2020.
Wen Bai, Yuxiao Zhang, Xuezheng Liu, Min Chen and Di Wu.
Efficient Core Maintenance of Dynamic Graphs,
in 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020),
May 21-24, 2020, Jeju, Korea.
Jayden King, Lily Huang, Di Wu, Yipeng Zhou and Young Choon Lee.
Edge-Based Video Summarization with Dash Cams,
in IEEE International Conference on Cloud Engineering (IC2E 2020),
April 21-24 2020, Sydney, Australia.
Zhenxiao Luo, Zhelong Wang, Di Wu, Xiaojun Hei, Yunfei Du.
Automatic Generation and Assessment of Student Assignments for Parallel Programming Learning,
in the 10th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2019) , Guangzhou, China, Dec 2019.
Zelong Wang, Di Wu, Zhenxiao Luo, Yunfei Du.
Building a Lightweight Container-based Experimental Platform for HPC Education,
in the 10th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2019) , Guangzhou, China, Dec 2019.
Yadi Chen, Bai Wen, Runyuan Chen, Di Wu, Guoqiao Ye, Zhichuan Huang.
Cider: Highly Efficient Processing of Densely Overlapped Communities in Big Graphs,
in APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM 2019), Chengdu, China, Aug 1-3, 2019.
Zhanpeng Wu, Yipeng Zhou, Di Wu, Min Chen, Yuedong Xu.
Towards Personalized Time-Aware Recommendation for Over-The-Top Videos,
in the 29th Workshop on Network and Operating System Support for Digital Audio (ACM NOSSDAV 2019), Amherst, MA, June 21, 2019.
Zhi Zhou, Xu Chen, Weigang Wu, Di Wu, Junshan Zhang.
Predictive Online Server Provisioning for Cost-Efficient IoT Data Streaming Across Collaborative Edges,
in the 20th International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2019), Catania, Italy, July 2-5, 2019.
Zhanpeng Wu, Yan Zhou, Di Wu, Yipeng Zhou and Jing Qin.
Crowdsourced Time-Sync Video Recommendation via Semantic-Aware Neural Collaborative Filtering,
in 19th International Conference on Web Engineering (ICWE 2019), Daejeon, Korea, June 11 – 14, 2019.
Yuxiao Zhang, Jiang Li, Di Wu, Yunfei Du.
Improving Student Skills on Parallel Programming via Code Evaluation and Feedback Debugging,
in the Proc. of IEEE International Conference on Teaching, Assessment and Learning for Engineering (IEEE TALE 2018), Wollongong, NSW, Australia, 4-7 December 2018.
Yayu Gao, Junqing Peng, Yachao Yin, Xiaojun Hei, Di Wu.
Developing Wireless Networking Labs for MOOC Learners on an Online Programming Platform,
in the Proc. of IEEE International Conference on Teaching, Assessment and Learning for Engineering (IEEE TALE 2018), Wollongong, NSW, Australia, 4-7 December 2018.
Zhepeng Zou, Yuxiao Zhang, Jiang Li, Xiaojun Hei, Yunfei Du, Di Wu.
EasyHPC: An Online Programming Platform for Learning High Performance Computing,
in the Proc. of IEEE International Conference on Teaching, Assessment and Learning for Engineering (IEEE TALE 2017), Hong Kong, December 12-14, 2017.
Yihao Ke, Guoqiao Ye, Di Wu, Yipeng Zhou, Edith Ngai, Han Hu.
GECKO: Gamer Experience-Centric Bitrate Control Algorithm for Cloud Gaming,
in Proc. of The 9th International Conference on Image and Graphics (ICIG 2017), Shanghai, China, September 13 - 15, 2017.
Jiaming Zhang, Yipeng Zhou, Di Wu, Chunfeng Yang.
Context-aware Video Recommendation by Mining Users' View Preferences Based on Access Points,
in ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (ACM NOSSDAV'17), Taipei, Taiwan, June 20-23, 2017.
Xuhong Gu, Yipeng Zhou, Di Wu, Terence H. Chan, Min Chen.
Unveiling Latent Behaviors of Video Viewers with Cross-Platform Information,
in ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (ACM NOSSDAV'17), Taipei, Taiwan, June 20-23, 2017.
Min Chen, Junfeng Wang, Kai Lin, Di Wu, Jiafu Wan, Limei Peng, Chan-Hyun Youn.
M-plan: Multipath Planning based transmissions for IoT multimedia sensing,
in International Wireless Communications and Mobile Computing Conference (IWCMC 2016), Paphos, Cyprus, Sept. 5-9, 2016. (Best Paper Award)
Hui Li, Guoqiao Ye, Xuezheng Liu, Fei Zhao, Di Wu, and Xiaola Lin.
URLSight: Profiling Mobile Users via Large-scale Internet Metadata Analytics,
in Proc. of The 8th IEEE International Symposium on UbiSafe Computing (IEEE UbiSafe 2016), Tianjin, China, August 23-26, 2016.
Min Chen, Yujun Ma, Yixue Hao, Yong Li, Di Wu, Yin Zhang, Enmin Song.
CP-Robot: Cloud-assisted Pillow Robot for Emotion Sensing and Interaction,
in International Conference on Industrial IoT Technologies and Applications (IndustrialIoT 2016), Guangzhou, China, Mar. 2016. (Best Paper Award)
Min Chen; Xianbin Wang; Junfeng Wang; Di Wu; Yong Li.
KCN: Guaranteed Delivery via K-Cooperative-Nodes in Duty-Cycled Sensor Networks,
in Proc. of IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Poster paper, Dallas, USA, Oct 19-22, 2015.
Min Chen, Yixue Hao, Yong Li, Di Wu and Dijiang Huang.
Demo: LIVES: Learning through Interactive Video and Emotion-aware System,
in Proc. of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc'15), Demo paper, Hangzhou, June 22-25, 2015.
Jian Huang, Di Wu and Jian He.
Demystifying the Magic of Cache Thresholds in the Android Media Framework,
in Proc. of International Conference on Wireless Communications and Signal Processing (WCSP'14), Hefei, China, Oct 23-25, 2014
Han Hu, Yonggang Wen, Tat-Seng Chua, Zhi Wang, Jian Huang, Wenwu Zhu and Di Wu.
Community Based Effective Social Video Contents Placement in Cloud Centric CDN Network,
in Proc. of IEEE International Conference on Multimedia & Expo (IEEE ICME'14), Chengdu, China, July 14-18, 2014.
Jian He, Yonggang Wen, and Di Wu.
Power-Efficient Collaborative Distribution of Social Videos over Wireless Community Cloud,
in Proc. of IEEE Global Communications Conference (IEEE Globecom'13), Atlanta, GA, USA, Dec. 2013
Junlun Ma, Xiang Deng, Yong Liu, and Di Wu.
Power Consumption of Mobile Video Streaming under Adverse Network Conditions,
in Proc. of IEEE International Conference on Communications in China (IEEE ICCC'13), Xi'an, China, August 2013.
Zhida Guo, Jian Huang, Jian He, Xiaojun Hei, and Di Wu.
Unveiling the Patterns of Video Tweeting: A Sina Weibo-based Measurement Study,
in Proc. of the 14th Passive and Active Measurement Conference (PAM 2013), Hong Kong, China, March 2013.
Di Wu, Yupeng Zeng, Jian He, Yi Liang, and Yonggang Wen.
On P2P Mechanisms for VM Image Distribution in Cloud Data Centers: Modeling, Analysis and Improvement,
in Proc. of 4th IEEE International Conference on Cloud Computing Technology and Science (IEEE CloudCom'12), Taipei, Taiwan, Dec 3-6, 2012.
Jian He, Xiang Deng, Dan Wu, Yonggang Wen, and Di Wu.
Socially-Responsible Load Scheduling Algorithms for Sustainable Data Centers over Smart Grid,
in Proc. of IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm'12), Tainan, Taiwan, Nov 5-8, 2012.
Cong Liu, Ai Chen, Di Wu, and Jie Wu.
A DFA with Extended Character-Set for Fast Deep Packet Inspection,
in Proc. of International Conference on Parallel Processing (ICPP'11), Taipei, China, Sep 2011.
Prithula Dhungel, Xiaojun Hei, Di Wu, and Keith W. Ross.
A Measurement Study of Attacks on BitTorrent Seeds,
in Proc. of IEEE International Conference on Communications (IEEE ICC '11), Kyoto, Japan, Jun 2011.
Di Wu, Cong Tang, Prithula Dhungel, Nitesh Saxena and Keith W. Ross.
On the Privacy of Peer-Assisted Distribution of Security Patches,
in Proc. of IEEE International Conference on Peer-to-Peer Computing (IEEE P2P '10), Delft, Netherlands, Aug 2010.
Di Wu, Prithula Dhungel, Xiaojun Hei, Chao Zhang, and Keith W. Ross.
Understanding Peer Exchange in BitTorrent Systems,
in Proc. of IEEE International Conference on Peer-to-Peer Computing (IEEE P2P '10), Delft, Netherlands, Aug 2010.
Zhengye Liu, Prithula Dhungel, Di Wu, Chao Zhang, and Keith W. Ross.
Understanding and Improving Ratio Incentives in Private Communities,
in Proc. of the 30th International Conference on Distributed Computing Systems (IEEE ICDCS '10), Genoa, Italy, Jun 2010.
Chao Zhang, Prithula Dhungel, Di Wu, Zhengye Liu, and Keith W. Ross.
BitTorrent Darknets,
in IEEE Conference on Computer Communications (IEEE INFOCOM '10), San Diego, CA, Mar 2010. [CCF A]
Di Wu, Cong Tang, Prithula Dhungel, Nitesh Saxena, and Keith W. Ross.
Privacy of Peer-Assisted Security Patch Distribution,
in IEEE Conference on Network Protocols (IEEE ICNP '09), Poster, Princeton, NJ, Oct 2009.
Di Wu, Yong Liu and Keith W. Ross.
Queuing Network Models for Multi-Channel P2P Live Streaming Systems,
in IEEE Conference on Computer Communications (IEEE INFOCOM '09), Rio de Janeiro, Brazil, Apr. 2009. (Best Paper Award, 1 out of 1,435 submissions) [CCF A]
Di Wu, Chao Liang, Yong Liu and Keith W. Ross.
View-Upload Decoupling: A Redesign of Multi-Channel P2P Video Systems,
in IEEE Conference on Computer Communications (IEEE INFOCOM '09), Mini-conference, Rio de Janeiro, Brazil, Apr. 2009. [CCF A]
Prithula Dhungel, Di Wu, Brad Schonhorst, and Keith W. Ross.
A Measurement Study of Attacks on BitTorrent Leechers,
in Proc. of 7th International Workshop on Peer-to-Peer Systems (IPTPS '08), Tampa Bay, FL, Feb 2008.
Di Wu, Ye Tian and Kam-Wing Ng.
Achieving Resilient and Efficient Load Balancing in DHT-based P2P Systems,
in Proc. of the 31st Annual IEEE Conference on Local Computer Networks (IEEE LCN'06), Tampa, FL, USA, Nov 2006.
Di Wu, Ye Tian and Kam-Wing Ng.
On the Effectiveness of Migration-based Load Balancing Strategies in DHT Systems,
in Proc. of the 15th IEEE International Conference on Computer Communications and Networks (IEEE ICCCN'06), Arlington, VA, USA, Oct 2006.
Di Wu, Ye Tian and Kam-Wing Ng.
Analytical Study on Improving DHT Lookup Performance under Churn,
in Proc. of IEEE International Conference on Peer-to-Peer Computing (IEEE P2P'06), Cambridge, UK, Sep. 2006. (Acceptance Ratio: 19%)
Di Wu, Ye Tian and Kam-Wing Ng.
Roogle: Supporting Efficient High-Dimensional Range Queries in P2P Systems,
in Proc. of European Conference on Parallel Computing (Euro-Par'06), LNCS 4128, Springer-Verlag, Dresden, Germany, Aug. 2006.
Ye Tian, Di Wu and Kam-Wing Ng.
Analyzing Multiple File Downloading in BitTorrent,
in Proc. of International Conference on Parallel Processing (ICPP'06), Columbus, Ohio, USA, Aug. 2006.
Ye Tian, Di Wu and Kam-Wing Ng.
Modeling, Analysis and Improvement for BitTorrent-Like File Sharing Networks,
in Proc. of IEEE Annual Conference on Computer Communications (IEEE INFOCOM'06), Barcelona, Spain, Apr. 2006. [CCF A]
Ye Tian, Di Wu and Kam-Wing Ng.
GroupRep: A Robust Group-based Reputation System for Peer-to-Peer Networks,
in Proc. of International Conference on Computational Intelligence and Security (CIS'05), Xian, China, Dec. 2005.
Di Wu, Ye Tian and Kam-Wing Ng.
Aurelia: Building Locality-Preserving Overlay Network over Heterogeneous P2P Environments,
in Proc. of International Workshop on Applications and Economics of Peer-to-Peer Systems (AEPP'05), LNCS 3759, Springer-Verlag, Nanjing, China, Nov 2005.
Di Wu, Jin Yang and Guoqing Zhang.
Cloud to Cloud: A Framework Model For Next Generation Network Management,
in Proc. of IEEE International Conference on Telecommunications (ICT'03), Papeete, France, Feb. 2003.
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