A Multicast Scheduling Approach for Layered Video Service in Vehicular Ad Hoc Networks. - Miao Hu 001; Zhangdui Zhong; Chih-Yung Chang (IMIS, 2013)

Analytical modeling of link duration for vehicular ad hoc networks in urban environment. - Miao Hu 001; Zhangdui Zhong; Haoqing Zhu; Minming Ni; Chih-Yung Chang (Vehicular Ad Hoc Networks, 2013)

Effect of fading channel on link duration in Vehicular Ad Hoc Networks. - Miao Hu 001; Zhangdui Zhong; Hao Wu 005; Minming Ni (WCNC, 2013)

Sparse Erroneous Vehicular Trajectory Compression and Recovery via Compressive Sensing. - Miao Hu 001; Zhangdui Zhong; Wei Chen 016 (MASS, 2014)

Link Duration for Infrastructure Aided Hybrid Vehicular Ad Hoc Networks in Highway Scenarios. - Miao Hu 001; Zhangdui Zhong; Ruifeng Chen 001; Minming Ni; Hao Wu 005; Chih-Yung Chang (MILCOM, 2014)

A General Two-Link Correlation Model of Shadow Fading in Wireless Sensor Network. - Bei Zhang 003; Zhangdui Zhong; Minming Ni; Miao Hu 001; Ruisi He (MoMM, 2014)

Connectivity Analysis for Cooperative Vehicular Ad Hoc Networks Under Nakagami Fading Channel. - Ruifeng Chen 001; Zhengguo Sheng; Zhangdui Zhong; Minming Ni; Victor C. M. Leung; David G. Michelson; Miao Hu 001 (IEEE Commun. Lett., 2014)

Recursion-Based Analysis for Information Propagation in Vehicular Ad Hoc Networks. - Minming Ni; Jianping Pan 001; Miao Hu 001; Zhangdui Zhong (GLOBECOM, 2015)

Decision at the intersection for data delivery in urban vehicular ad hoc networks. - Miao Hu 001; Zhangdui Zhong; Minming Ni (ICCVE, 2015)

Packet reception probability of VANETs in urban intersecton scenario. - Minming Ni; Miao Hu 001; Zhe Wang 018; Zhangdui Zhong (ICCVE, 2015)

Mobility aware link lifetime analysis for vehicular networks. - Miao Hu 001; Zhangdui Zhong; Minming Ni; Ruifeng Chen 001; Hao Wu 005; Chih-Yung Chang (WCNC, 2015)

Analysis of Link Lifetime With Auto-Correlated Shadowing in High-Speed Railway Networks. - Miao Hu 001; Zhangdui Zhong; Minming Ni; Ruisi He (IEEE Commun. Lett., 2015)

MMS-MVN: a multimedia multicast scheduling method for multi-hop vehicular networks. - Miao Hu 001; Zhangdui Zhong; Chih-Yung Chang (Int. J. Ad Hoc Ubiquitous Comput., 2015)

Theoretical Analysis of Obstruction's Influence on Data Dissemination in Vehicular Networks. - Miao Hu 001; Zhangdui Zhong; Minming Ni; Zhe Wang 018 (ADHOCNETS, 2016)

Performance Analysis for Traffic-Aware Utility in Vehicular Ad Hoc Networks. - Zhe Wang 018; Zhangdui Zhong; Minming Ni; Miao Hu 001 (ADHOCNETS, 2016)

Design and Analysis of A Beacon-Less Routing Protocol for Large Volume Content Dissemination in Vehicular Ad Hoc Networks. - Miao Hu 001; Zhangdui Zhong; Minming Ni; Andrea Baiocchi (Sensors, 2016)

Integrity-Oriented Content Offloading in Vehicular Sensor Network. - Miao Hu 001; Zhangdui Zhong; Minming Ni; Zhe Wang 018; Weiliang Xie; Xiaoyu Qiao (IEEE Access, 2017)

Bus-based content offloading for vehicular networks. - Zhe Wang 018; Zhangdui Zhong; Minming Ni; Miao Hu 001; Chih-Yung Chang (J. Commun. Networks, 2017)

Duration-Variable Participant Recruitment for Urban Crowdsourcing With Indeterministic Trajectories. - Miao Hu 001; Zhangdui Zhong; Yong Niu; Minming Ni (IEEE Trans. Veh. Technol., 2017)

Real-time Ship Track Association: a Benchmark and a Network-Based Method. - Lin Wu 006; Yongjun Xu 001; Fei Wang 014; Qiang Lu; Miao Hu 001 (FUSION, 2019)

Exploring Popularity Predictability of Online Videos With Fourier Transform. - Yan Zhou; Zhanpeng Wu; Yipeng Zhou; Miao Hu 001; Chunfeng Yang; Jing Qin 001 (IEEE Access, 2019)

Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing. - Miao Hu 001; Lei Zhuang; Di Wu 001; Yipeng Zhou; Xu Chen 004; Liang Xiao 003 (IEEE Trans. Parallel Distributed Syst., 2019)

SR360: boosting 360-degree video streaming with super-resolution. - Jiawen Chen; Miao Hu 001; Zhenxiao Luo; Zelong Wang; Di Wu 001 (NOSSDAV, 2020)

LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning. - Jianchao He; Miao Hu 001; Yipeng Zhou; Di Wu 001 (NOSSDAV, 2020)

Inferring Prerequisite Relationships Among Learning Resources for HPC Education. - Run Wu; Chenyu Luo; Miao Hu 001; Di Wu 001 (PAAP, 2020)

VBSSR: Variable Bitrate Encoded Video Streaming with Super-Resolution on HPC Education Platform. - Run Wu; Gangqiang Zhou; Miao Hu 001; Di Wu 001 (PAAP, 2020)

Blockchain-Enabled Computing Resource Trading: A Deep Reinforcement Learning Approach. - Zixuan Xie; Run Wu; Miao Hu 001; Haibo Tian (WCNC, 2020)

Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach. - Miao Hu 001; Zixuan Xie; Di Wu 001; Yipeng Zhou; Xu Chen 004; Liang Xiao 003 (IEEE Trans. Parallel Distributed Syst., 2020)

Characterizing the Performance of Deep Learning Inference for Edge Video Analytics. - Zhenxiao Luo; Xinglong Wang; Yuxiao Zhang; Zelong Wang; Miao Hu 001; Di Wu 001 (Big Data (CCF), 2021)

Gaming at the Edge: A Weighted Congestion Game Approach for Latency-Sensitive Scheduling. - Xuezheng Liu; Ke Liu; Guoqiao Ye; Miao Hu 001; Yipeng Zhou; Di Wu 001 (MSN, 2021)

CrowdSR: enabling high-quality video ingest in crowdsourced livecast via super-resolution. - Zhenxiao Luo; Zelong Wang; Jinyu Chen; Miao Hu 001; Yipeng Zhou; Tom Z. J. Fu; Di Wu 001 (NOSSDAV, 2021)

Vibra: neural adaptive streaming of VBR-encoded videos. - Gangqiang Zhou; Run Wu; Miao Hu 001; Yipeng Zhou; Tom Z. J. Fu; Di Wu 001 (NOSSDAV, 2021)

Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast. - Xianzhi Zhang; Guoqiao Ye; Miao Hu 001; Di Wu 001 (PDCAT, 2021)

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning. - Wenzhuo Yang; Yipeng Zhou; Miao Hu 001; Di Wu 001; James Xi Zheng; Hui Wang 011; Song Guo 001 (CoRR, 2021)

Virtual reality: A survey of enabling technologies and its applications in IoT. - Miao Hu 001; Xianzhuo Luo; Jiawen Chen; Young Choon Lee; Yipeng Zhou; Di Wu 001 (J. Netw. Comput. Appl., 2021)

Bitcoin miners: Exploring a covert community in the Bitcoin ecosystem. - Jieyu Xu; Wen Bai; Miao Hu 001; Haibo Tian; Di Wu 001 (Peer-to-Peer Netw. Appl., 2021)

TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming. - Miao Hu 001; Jiawen Chen; Di Wu 001; Yipeng Zhou; Yi Wang 004; Hong-Ning Dai (IEEE Trans. Circuits Syst. Video Technol., 2021)

Sparkle: User-Aware Viewport Prediction in 360-Degree Video Streaming. - Jinyu Chen; Xianzhuo Luo; Miao Hu 001; Di Wu 001; Yipeng Zhou (IEEE Trans. Multim., 2021)

Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications. - Miao Hu 001; Zhenxiao Luo; Yipeng Zhou; Xuezheng Liu; Di Wu 001 (INFOCOM, 2022)

DPFed: Toward Fair Personalized Federated Learning with Fast Convergence. - Jiang Wu; Xuezheng Liu; Jiahao Liu; Miao Hu 001; Di Wu 001 (MSN, 2022)

Revisiting super-resolution for internet video streaming. - Zelong Wang; Zhenxiao Luo; Miao Hu 001; Di Wu 001; Youlong Cao; Yi Qin (NOSSDAV, 2022)

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning. - Wenzhuo Yang; Yipeng Zhou; Miao Hu 001; Di Wu 001; Xi Zheng 001; Jessie Hui Wang; Song Guo 001; Chao Li 067 (IEEE Internet Things J., 2022)

Quantifying the Influence of Intermittent Connectivity on Mobile Edge Computing. - Miao Hu 001; Di Wu 001; Weigang Wu; Julian Cheng; Min Chen 003 (IEEE Trans. Cloud Comput., 2022)

AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights. - Lei Tan; Xiaoxi Zhang 001; Yipeng Zhou; Xinkai Che; Miao Hu 001; Xu Chen 004; Di Wu 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Incentive-Aware Autonomous Client Participation in Federated Learning. - Miao Hu 001; Di Wu 001; Yipeng Zhou; Xu Chen 004; Min Chen 003 (IEEE Trans. Parallel Distributed Syst., 2022)

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. - Xianzhi Zhang; Yipeng Zhou; Di Wu 001; Miao Hu 001; James Xi Zheng; Min Chen 003; Song Guo 001 (IEEE Trans. Parallel Distributed Syst., 2022)

RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems. - Miao Hu 001; Di Wu 001; Run Wu; Zhenkai Shi; Min Chen 003; Yipeng Zhou (IEEE Trans. Serv. Comput., 2022)

The Role of Communication Time in the Convergence of Federated Edge Learning. - Yipeng Zhou; Yao Fu; Zhenxiao Luo; Miao Hu 001; Di Wu 001; Quan Z. Sheng; Shui Yu 001 (IEEE Trans. Veh. Technol., 2022)

Analyzing the Convergence of Federated Learning with Biased Client Participation. - Lei Tan; Miao Hu 001; Yipeng Zhou; Di Wu 001 (ADMA (2), 2023)

FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning. - Lei Tan; Yunchao Yang; Miao Hu 001; Yipeng Zhou; Di Wu 001 (ICA3PP (5), 2023)

Cognitive Diagnosis Driven Programming Ability Evaluation. - Pengshan Liao; Xinkai Che; Miao Hu 001; Di Wu 001 (ICAICE, 2023)

PatchSR: Achieving HD Video Streaming with Pre-downloaded Universal SR Models. - Jiahong Xu; Zhenxiao Luo; Zelong Wang; Gangqiang Zhou; Miao Hu 001 (ICCAI, 2023)

Understanding and Improving Perceptual Quality of Volumetric Video Streaming. - Mengyu Yang; Di Wu 001; Zelong Wang; Miao Hu 001; Yipeng Zhou (ICME, 2023)

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. - Jiahao Liu; Jiang Wu; Jinyu Chen; Miao Hu 001; Yipeng Zhou; Di Wu 001 (IJCAI, 2023)

BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. - Yunchao Yang; Yipeng Zhou; Miao Hu 001; Di Wu 001; Quan Z. Sheng (IJCAI, 2023)

Edge-Based Video Analytics: A Survey. - Miao Hu 001; Zhenxiao Luo; Amirmohammad Pasdar; Young Choon Lee; Yipeng Zhou; Di Wu 001 (CoRR, 2023)

FedDWA: Personalized Federated Learning with Online Weight Adjustment. - Jiahao Liu; Jiang Wu; Jinyu Chen; Miao Hu 001; Yipeng Zhou; Di Wu 001 (CoRR, 2023)

cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching. - Xianzhi Zhang; Linchang Xiao; Yipeng Zhou; Miao Hu 001; Di Wu 001; Gang Liu 028 (CoRR, 2023)

LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online Learning. - Zhenxiao Luo; Zelong Wang; Miao Hu 001; Yipeng Zhou; Di Wu 001 (IEEE Trans. Multim., 2023)

Masked360: Enabling Robust 360-degree Video Streaming with Ultra Low Bandwidth Consumption. - Zhenxiao Luo; Baili Chai; Zelong Wang; Miao Hu 001; Di Wu 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Live360: Viewport-Aware Transmission Optimization in Live 360-Degree Video Streaming. - Jinyu Chen; Zhenxiao Luo; Zelong Wang; Miao Hu 001; Di Wu 001 (IEEE Trans. Broadcast., 2023)

PreSR: Neural-Enhanced Adaptive Streaming of VBR-Encoded Videos With Selective Prefetching. - Gangqiang Zhou; Zhenxiao Luo; Miao Hu 001; Di Wu 001 (IEEE Trans. Broadcast., 2023)

A Comparative Measurement Study of Point Cloud-Based Volumetric Video Codecs. - Mengyu Yang; Zhenxiao Luo; Miao Hu 001; Min Chen 003; Di Wu 001 (IEEE Trans. Broadcast., 2023)

DeepCTS: A Deep Reinforcement Learning Approach for AI Container Task Scheduling. - Zili Xiao; Ke Liu; Miao Hu 001; Di Wu 001 (CACML, 2024)

FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning. - Qing Lu; Miao Hu 001; Di Wu 001; Yipeng Zhou; Mohsen Guizani; Quan Z. Sheng (ICDM, 2024)

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees. - Jiahao Liu; Yipeng Zhou; Di Wu 001; Miao Hu 001; Mohsen Guizani; Quan Z. Sheng (ICML, 2024)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. - Yinlin Zhu; Xunkai Li; Zhengyu Wu; Di Wu 001; Miao Hu 001; Rong-Hua Li (IJCAI, 2024)

EASR: Enabling Neural-Enhanced Video Streaming on Mobile Devices with Edge Assistance. - Jiahong Xu; Miao Hu 001; Qinglin Zhao; Di Wu 001 (IWCMC, 2024)

CoarseUCB: A Context-Aware Bitrate Adaptation Algorithm for VBR-encoded Video Streaming. - Chengrun Yang; Gangqiang Zhou; Miao Hu 001; Qinglin Zhao; Di Wu 001 (IWCMC, 2024)

GazeFed: Privacy-Aware Personalized Gaze Prediction for Virtual Reality. - Jiang Wu; Xuezheng Liu; Miao Hu 001; Hongxu Lin; Min Chen 003; Yipeng Zhou; Di Wu 001 (IWQoS, 2024)

Lumos: Optimizing Live 360-degree Video Upstreaming via Spatial-Temporal Integrated Neural Enhancement. - Beizhang Guo; Juntao Bao; Baili Chai; Di Wu 001; Miao Hu 001 (ACM Multimedia, 2024)

EWS: Towards Cost-Effective Job Scheduling via Combinatorial Multi-Armed Bandit Learning. - Linchang Xiao; Zili Xiao; Di Wu 001; Miao Hu 001 (NAS, 2024)

No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation. - Siyuan Wu; Yipeng Zhou; Miao Hu 001; Di Wu 001 (NPC (2), 2024)

NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines. - Yifei Yang; Tianyufei Zhou; Linchang Xiao; Chengrun Yang; Xuezheng Liu; Miao Hu 001; Di Wu 001 (PDCAT, 2024)

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy. - Xianzhi Zhang; Yipeng Zhou; Di Wu 001; Quan Z. Sheng; Miao Hu 001; Linchang Xiao (CoRR, 2024)

Federated Continual Graph Learning. - Yinlin Zhu; Xunkai Li; Miao Hu 001; Di Wu 001 (CoRR, 2024)

BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation. - Xianzhi Zhang; Yipeng Zhou; Miao Hu 001; Di Wu 001; Pengshan Liao; Mohsen Guizani; Michael Sheng 001 (CoRR, 2024)

CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning. - Yunchao Yang; Miao Hu 001; Yipeng Zhou; Xuezheng Liu; Di Wu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms. - Linchang Xiao; Xianzhi Zhang; Di Wu 001; Miao Hu 001; Yipeng Zhou; Shui Yu 001 (IEEE Trans. Serv. Comput., 2024)

AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning. - Miao Hu 001; Wenzhuo Yang; Zhenxiao Luo; Xuezheng Liu; Yipeng Zhou; Xu Chen 004; Di Wu 001 (IEEE Trans. Mob. Comput., 2024)

SDSR: Optimizing Metaverse Video Streaming via Saliency-Driven Dynamic Super-Resolution. - Baili Chai; Jinyu Chen; Zhenxiao Luo; Zelong Wang; Miao Hu 001; Yipeng Zhou; Di Wu 001 (IEEE J. Sel. Areas Commun., 2024)

FedDP-SA: Boosting Differentially Private Federated Learning via Local Data Set Splitting. - Xuezheng Liu; Yipeng Zhou; Di Wu 001; Miao Hu 001; Jessie Hui Wang; Mohsen Guizani (IEEE Internet Things J., 2024)

Adaptive Data Uploading Decision and Resource Optimization for Edge-Assisted Human Digital Twin Updates. - Shuo Wen; Siqi Mu; Yali Chen; Miao Hu 001 (HPSC, 2025)

DRL-MOSHRS: A Deep Reinforcement Learning Approach for Multi-Objective Scheduling in Heterogeneous HPC Systems. - Yifei Yang; Linchang Xiao; Tianyufei Zhou; Chengrun Yang; Xuezheng Liu; Miao Hu 001 (HPSC, 2025)

TaskFlare: A Heterogeneity-aware Unified Scheduling Framework for Diverse Domain-Specific Applications in Supercomputing Environments. - Tianyufei Zhou; Yifei Yang; Chengrun Yang; Linchang Xiao; Xuezheng Liu; Miao Hu 001 (HPSC, 2025)

Local Differentially Private Release of Infinite Streams With Temporal Relevance. - Runze Wang; Jiahao Liu; Miao Hu 001; Yipeng Zhou; Di Wu 001 (WWW, 2025)

CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds. - Linchang Xiao; Zili Xiao; Di Wu 001; Miao Hu 001; Yipeng Zhou (IEEE Trans. Mob. Comput., 2025)

REM: Enabling Real-Time Neural-Enhanced Video Streaming on Mobile Devices Using Macroblock-Aware Lookup Table. - Baili Chai; Di Wu 001; Jinyu Chen; Mengyu Yang; Zelong Wang; Miao Hu 001 (IEEE Trans. Mob. Comput., 2025)

FCER: A Federated Cloud-Edge Recommendation Framework With Cluster-Based Edge Selection. - Jiang Wu; Yunchao Yang; Miao Hu 001; Yipeng Zhou; Di Wu 001 (IEEE Trans. Mob. Comput., 2025)

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement. - Yinlin Zhu; Xunkai Li; Jishuo Jia; Miao Hu 001; Di Wu 001; Meikang Qiu (CoRR, 2025)

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges. - Xianzhi Zhang; Yipeng Zhou; Di Wu 001; Quan Z. Sheng; Shazia Riaz; Miao Hu 001; Linchang Xiao (ACM Comput. Surv., 2025)