Miao Hu

According to our database, Miao Hu authored at least 91 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Shazia Riaz, Miao Hu, Linchang Xiao

ACM Comput. Surv., May, 2025

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement.

Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu

CoRR, May, 2025

FCER: A Federated Cloud-Edge Recommendation Framework With Cluster-Based Edge Selection.

Jiang Wu, Yunchao Yang, Miao Hu, Yipeng Zhou, Di Wu

IEEE Trans. Mob. Comput., March, 2025

REM: Enabling Real-Time Neural-Enhanced Video Streaming on Mobile Devices Using Macroblock-Aware Lookup Table.

Baili Chai, Di Wu, Jinyu Chen, Mengyu Yang, Zelong Wang, Miao Hu

IEEE Trans. Mob. Comput., March, 2025

CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds.

Linchang Xiao, Zili Xiao, Di Wu, Miao Hu, Yipeng Zhou

IEEE Trans. Mob. Comput., February, 2025

Local Differentially Private Release of Infinite Streams With Temporal Relevance.

Runze Wang, Jiahao Liu, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the ACM on Web Conference 2025, 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

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 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

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

Adaptive Data Uploading Decision and Resource Optimization for Edge-Assisted Human Digital Twin Updates.

Shuo Wen, Siqi Mu, Yali Chen, Miao Hu

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

2024

FedDP-SA: Boosting Differentially Private Federated Learning via Local Data Set Splitting.

Xuezheng Liu, Yipeng Zhou, Di Wu, Miao Hu, Jessie Hui Wang, Mohsen Guizani

IEEE Internet Things J., October, 2024

SDSR: Optimizing Metaverse Video Streaming via Saliency-Driven Dynamic Super-Resolution.

Baili Chai, Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, Di Wu

IEEE J. Sel. Areas Commun., April, 2024

AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning.

Miao Hu, Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, Xu Chen, Di Wu

IEEE Trans. Mob. Comput., January, 2024

History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms.

Linchang Xiao, Xianzhi Zhang, Di Wu, Miao Hu, Yipeng Zhou, Shui Yu

IEEE Trans. Serv. Comput., 2024

CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning.

Yunchao Yang, Miao Hu, Yipeng Zhou, Xuezheng Liu, Di Wu

IEEE Trans. Inf. Forensics Secur., 2024

BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation.

Xianzhi Zhang, Yipeng Zhou, Miao Hu, Di Wu, Pengshan Liao, Mohsen Guizani, Michael Sheng

CoRR, 2024

Federated Continual Graph Learning.

Yinlin Zhu, Xunkai Li, Miao Hu, Di Wu

CoRR, 2024

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Miao Hu, Linchang Xiao

CoRR, 2024

NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines.

Yifei Yang, Tianyufei Zhou, Linchang Xiao, Chengrun Yang, Xuezheng Liu, Miao Hu, Di Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation.

Siyuan Wu, Yipeng Zhou, Miao Hu, Di Wu

Proceedings of the Network and Parallel Computing, 2024

EWS: Towards Cost-Effective Job Scheduling via Combinatorial Multi-Armed Bandit Learning.

Linchang Xiao, Zili Xiao, Di Wu, Miao Hu

Proceedings of the International Conference on Networking, Architecture and Storage, 2024

Lumos: Optimizing Live 360-degree Video Upstreaming via Spatial-Temporal Integrated Neural Enhancement.

Beizhang Guo, Juntao Bao, Baili Chai, Di Wu, Miao Hu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GazeFed: Privacy-Aware Personalized Gaze Prediction for Virtual Reality.

Jiang Wu, Xuezheng Liu, Miao Hu, Hongxu Lin, Min Chen, Yipeng Zhou, Di Wu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

CoarseUCB: A Context-Aware Bitrate Adaptation Algorithm for VBR-encoded Video Streaming.

Chengrun Yang, Gangqiang Zhou, Miao Hu, Qinglin Zhao, Di Wu

Proceedings of the International Wireless Communications and Mobile Computing, 2024

EASR: Enabling Neural-Enhanced Video Streaming on Mobile Devices with Edge Assistance.

Jiahong Xu, Miao Hu, Qinglin Zhao, Di Wu

Proceedings of the International Wireless Communications and Mobile Computing, 2024

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning.

Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees.

Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning.

Qing Lu, Miao Hu, Di Wu, Yipeng Zhou, Mohsen Guizani, Quan Z. Sheng

Proceedings of the IEEE International Conference on Data Mining, 2024

DeepCTS: A Deep Reinforcement Learning Approach for AI Container Task Scheduling.

Zili Xiao, Ke Liu, Miao Hu, Di Wu

Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023

A Comparative Measurement Study of Point Cloud-Based Volumetric Video Codecs.

Mengyu Yang, Zhenxiao Luo, Miao Hu, Min Chen, Di Wu

IEEE Trans. Broadcast., September, 2023

PreSR: Neural-Enhanced Adaptive Streaming of VBR-Encoded Videos With Selective Prefetching.

Gangqiang Zhou, Zhenxiao Luo, Miao Hu, Di Wu

IEEE Trans. Broadcast., March, 2023

Live360: Viewport-Aware Transmission Optimization in Live 360-Degree Video Streaming.

Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Di Wu

IEEE Trans. Broadcast., March, 2023

Masked360: Enabling Robust 360-degree Video Streaming with Ultra Low Bandwidth Consumption.

Zhenxiao Luo, Baili Chai, Zelong Wang, Miao Hu, Di Wu

IEEE Trans. Vis. Comput. Graph., 2023

LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online Learning.

Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, Di Wu

IEEE Trans. Multim., 2023

cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching.

Xianzhi Zhang, Linchang Xiao, Yipeng Zhou, Miao Hu, Di Wu, Gang Liu

CoRR, 2023

FedDWA: Personalized Federated Learning with Online Weight Adjustment.

Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

CoRR, 2023

Edge-Based Video Analytics: A Survey.

Miao Hu, Zhenxiao Luo, Amirmohammad Pasdar, Young Choon Lee, Yipeng Zhou, Di Wu

CoRR, 2023

BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning.

Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment.

Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Understanding and Improving Perceptual Quality of Volumetric Video Streaming.

Mengyu Yang, Di Wu, Zelong Wang, Miao Hu, Yipeng Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

PatchSR: Achieving HD Video Streaming with Pre-downloaded Universal SR Models.

Jiahong Xu, Zhenxiao Luo, Zelong Wang, Gangqiang Zhou, Miao Hu

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Cognitive Diagnosis Driven Programming Ability Evaluation.

Pengshan Liao, Xinkai Che, Miao Hu, Di Wu

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning.

Lei Tan, Yunchao Yang, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Analyzing the Convergence of Federated Learning with Biased Client Participation.

Lei Tan, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

The Role of Communication Time in the Convergence of Federated Edge Learning.

Yipeng Zhou, Yao Fu, Zhenxiao Luo, Miao Hu, Di Wu, Quan Z. Sheng, Shui Yu

IEEE Trans. Veh. Technol., 2022

RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems.

Miao Hu, Di Wu, Run Wu, Zhenkai Shi, Min Chen, Yipeng Zhou

IEEE Trans. Serv. Comput., 2022

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo

IEEE Trans. Parallel Distributed Syst., 2022

Incentive-Aware Autonomous Client Participation in Federated Learning.

Miao Hu, Di Wu, Yipeng Zhou, Xu Chen, Min Chen

IEEE Trans. Parallel Distributed Syst., 2022

AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights.

Lei Tan, Xiaoxi Zhang, Yipeng Zhou, Xinkai Che, Miao Hu, Xu Chen, Di Wu

IEEE Trans. Netw. Sci. Eng., 2022

Quantifying the Influence of Intermittent Connectivity on Mobile Edge Computing.

Miao Hu, Di Wu, Weigang Wu, Julian Cheng, Min Chen

IEEE Trans. Cloud Comput., 2022

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning.

Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, Xi Zheng, Jessie Hui Wang, Song Guo, Chao Li

IEEE Internet Things J., 2022

Revisiting super-resolution for internet video streaming.

Zelong Wang, Zhenxiao Luo, Miao Hu, Di Wu, Youlong Cao, Yi Qin

Proceedings of the 32nd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2022

DPFed: Toward Fair Personalized Federated Learning with Fast Convergence.

Jiang Wu, Xuezheng Liu, Jiahao Liu, Miao Hu, Di Wu

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications.

Miao Hu, Zhenxiao Luo, Yipeng Zhou, Xuezheng Liu, Di Wu

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Sparkle: User-Aware Viewport Prediction in 360-Degree Video Streaming.

Jinyu Chen, Xianzhuo Luo, Miao Hu, Di Wu, Yipeng Zhou

IEEE Trans. Multim., 2021

TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming.

Miao Hu, Jiawen Chen, Di Wu, Yipeng Zhou, Yi Wang, Hong-Ning Dai

IEEE Trans. Circuits Syst. Video Technol., 2021

Bitcoin miners: Exploring a covert community in the Bitcoin ecosystem.

Jieyu Xu, Wen Bai, Miao Hu, Haibo Tian, Di Wu

Peer-to-Peer Netw. Appl., 2021

Virtual reality: A survey of enabling technologies and its applications in IoT.

Miao Hu, Xianzhuo Luo, Jiawen Chen, Young Choon Lee, Yipeng Zhou, Di Wu

J. Netw. Comput. Appl., 2021

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning.

Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, James Xi Zheng, Hui Wang, Song Guo

CoRR, 2021

Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast.

Xianzhi Zhang, Guoqiao Ye, Miao Hu, Di Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Vibra: neural adaptive streaming of VBR-encoded videos.

Gangqiang Zhou, Run Wu, Miao Hu, Yipeng Zhou, Tom Z. J. Fu, Di Wu

Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

CrowdSR: enabling high-quality video ingest in crowdsourced livecast via super-resolution.

Zhenxiao Luo, Zelong Wang, Jinyu Chen, Miao Hu, Yipeng Zhou, Tom Z. J. Fu, Di Wu

Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

Gaming at the Edge: A Weighted Congestion Game Approach for Latency-Sensitive Scheduling.

Xuezheng Liu, Ke Liu, Guoqiao Ye, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Characterizing the Performance of Deep Learning Inference for Edge Video Analytics.

Zhenxiao Luo, Xinglong Wang, Yuxiao Zhang, Zelong Wang, Miao Hu, Di Wu

Proceedings of the Big Data - 9th CCF Conference, 2021

2020

Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach.

Miao Hu, Zixuan Xie, Di Wu, Yipeng Zhou, Xu Chen, Liang Xiao

IEEE Trans. Parallel Distributed Syst., 2020

Blockchain-Enabled Computing Resource Trading: A Deep Reinforcement Learning Approach.

Zixuan Xie, Run Wu, Miao Hu, Haibo Tian

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

VBSSR: Variable Bitrate Encoded Video Streaming with Super-Resolution on HPC Education Platform.

Run Wu, Gangqiang Zhou, Miao Hu, Di Wu

Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

Inferring Prerequisite Relationships Among Learning Resources for HPC Education.

Run Wu, Chenyu Luo, Miao Hu, Di Wu

Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning.

Jianchao He, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2020

SR360: boosting 360-degree video streaming with super-resolution.

Jiawen Chen, Miao Hu, Zhenxiao Luo, Zelong Wang, Di Wu

Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2020

2019

Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing.

Miao Hu, Lei Zhuang, Di Wu, Yipeng Zhou, Xu Chen, Liang Xiao

IEEE Trans. Parallel Distributed Syst., 2019

Exploring Popularity Predictability of Online Videos With Fourier Transform.

Yan Zhou, Zhanpeng Wu, Yipeng Zhou, Miao Hu, Chunfeng Yang, Jing Qin

IEEE Access, 2019

Real-time Ship Track Association: a Benchmark and a Network-Based Method.

Lin Wu, Yongjun Xu, Fei Wang, Qiang Lu, Miao Hu

Proceedings of the 22th International Conference on Information Fusion, 2019

2017

Duration-Variable Participant Recruitment for Urban Crowdsourcing With Indeterministic Trajectories.

Miao Hu, Zhangdui Zhong, Yong Niu, Minming Ni

IEEE Trans. Veh. Technol., 2017

Bus-based content offloading for vehicular networks.

Zhe Wang, Zhangdui Zhong, Minming Ni, Miao Hu, Chih-Yung Chang

J. Commun. Networks, 2017

Integrity-Oriented Content Offloading in Vehicular Sensor Network.

Miao Hu, Zhangdui Zhong, Minming Ni, Zhe Wang, Weiliang Xie, Xiaoyu Qiao

IEEE Access, 2017

2016

Design and Analysis of A Beacon-Less Routing Protocol for Large Volume Content Dissemination in Vehicular Ad Hoc Networks.

Miao Hu, Zhangdui Zhong, Minming Ni, Andrea Baiocchi

Sensors, 2016

Performance Analysis for Traffic-Aware Utility in Vehicular Ad Hoc Networks.

Zhe Wang, Zhangdui Zhong, Minming Ni, Miao Hu

Proceedings of the Ad Hoc Networks - 8th International Conference, 2016

Theoretical Analysis of Obstruction's Influence on Data Dissemination in Vehicular Networks.

Miao Hu, Zhangdui Zhong, Minming Ni, Zhe Wang

Proceedings of the Ad Hoc Networks - 8th International Conference, 2016

2015

MMS-MVN: a multimedia multicast scheduling method for multi-hop vehicular networks.

Miao Hu, Zhangdui Zhong, Chih-Yung Chang

Int. J. Ad Hoc Ubiquitous Comput., 2015

Analysis of Link Lifetime With Auto-Correlated Shadowing in High-Speed Railway Networks.

Miao Hu, Zhangdui Zhong, Minming Ni, Ruisi He

IEEE Commun. Lett., 2015

Mobility aware link lifetime analysis for vehicular networks.

Miao Hu, Zhangdui Zhong, Minming Ni, Ruifeng Chen, Hao Wu, Chih-Yung Chang

Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

Packet reception probability of VANETs in urban intersecton scenario.

Minming Ni, Miao Hu, Zhe Wang, Zhangdui Zhong

Proceedings of the International Conference on Connected Vehicles and Expo, 2015

Decision at the intersection for data delivery in urban vehicular ad hoc networks.

Miao Hu, Zhangdui Zhong, Minming Ni

Proceedings of the International Conference on Connected Vehicles and Expo, 2015

Recursion-Based Analysis for Information Propagation in Vehicular Ad Hoc Networks.

Minming Ni, Jianping Pan, Miao Hu, Zhangdui Zhong

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014

Connectivity Analysis for Cooperative Vehicular Ad Hoc Networks Under Nakagami Fading Channel.

Ruifeng Chen, Zhengguo Sheng, Zhangdui Zhong, Minming Ni, Victor C. M. Leung, David G. Michelson, Miao Hu

IEEE Commun. Lett., 2014

A General Two-Link Correlation Model of Shadow Fading in Wireless Sensor Network.

Bei Zhang, Zhangdui Zhong, Minming Ni, Miao Hu, Ruisi He

Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia, 2014

Link Duration for Infrastructure Aided Hybrid Vehicular Ad Hoc Networks in Highway Scenarios.

Miao Hu, Zhangdui Zhong, Ruifeng Chen, Minming Ni, Hao Wu, Chih-Yung Chang

Proceedings of the 2014 IEEE Military Communications Conference, 2014

Sparse Erroneous Vehicular Trajectory Compression and Recovery via Compressive Sensing.

Miao Hu, Zhangdui Zhong, Wei Chen

Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

2013

Effect of fading channel on link duration in Vehicular Ad Hoc Networks.

Miao Hu, Zhangdui Zhong, Hao Wu, Minming Ni

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Analytical modeling of link duration for vehicular ad hoc networks in urban environment.

Miao Hu, Zhangdui Zhong, Haoqing Zhu, Minming Ni, Chih-Yung Chang

Proceedings of the Proceeding of the tenth ACM international workshop on Vehicular inter-networking, 2013

A Multicast Scheduling Approach for Layered Video Service in Vehicular Ad Hoc Networks.

Miao Hu, Zhangdui Zhong, Chih-Yung Chang

Proceedings of the Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2013