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ORCIDMiao Hu 0001
Person information
- affiliation: Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Miao Hu — disambiguation page
- Miao Hu 0002 — TetraMem Inc., Fremont, CA, USA (and 2 more)
- Miao Hu 0003
![[0000-0001-9055-563X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9055-563X")
— Queen's University Belfast, School of Mathematics and Physics, Belfast, UK - Miao Hu 0004 — Shanghai University, School of Computer Engineering and Science, Shanghai, China
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2020 – today
- 2025
[j32]Linchang Xiao, Zili Xiao, Di Wu, Miao Hu, Yipeng Zhou:
CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds. IEEE Trans. Mob. Comput. 24(2): 600-613 (2025)- 2024
- [j31]Xuezheng Liu, Yipeng Zhou, Di Wu, Miao Hu, Jessie Hui Wang, Mohsen Guizani:
FedDP-SA: Boosting Differentially Private Federated Learning via Local Data Set Splitting. IEEE Internet Things J. 11(19): 31687-31698 (2024) - [j30]Baili Chai, Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, Di Wu:
SDSR: Optimizing Metaverse Video Streaming via Saliency-Driven Dynamic Super-Resolution. IEEE J. Sel. Areas Commun. 42(4): 978-989 (2024) - [j29]Yunchao Yang, Miao Hu, Yipeng Zhou, Xuezheng Liu, Di Wu:
CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 892-906 (2024) - [j28]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. IEEE Trans. Mob. Comput. 23(1): 194-208 (2024) - [j27]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. IEEE Trans. Serv. Comput. 17(6): 3773-3788 (2024) - [c41]Zili Xiao, Ke Liu, Miao Hu, Di Wu:
DeepCTS: A Deep Reinforcement Learning Approach for AI Container Task Scheduling. CACML 2024: 342-347 - [c40]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. ICML 2024 - [c39]Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li:
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. IJCAI 2024: 5716-5724 - [c38]Jiahong Xu, Miao Hu, Qinglin Zhao, Di Wu:
EASR: Enabling Neural-Enhanced Video Streaming on Mobile Devices with Edge Assistance. IWCMC 2024: 580-585 - [c37]Chengrun Yang, Gangqiang Zhou, Miao Hu, Qinglin Zhao, Di Wu:
CoarseUCB: A Context-Aware Bitrate Adaptation Algorithm for VBR-encoded Video Streaming. IWCMC 2024: 592-597 - [c36]Jiang Wu, Xuezheng Liu, Miao Hu, Hongxu Lin, Min Chen, Yipeng Zhou, Di Wu:
GazeFed: Privacy-Aware Personalized Gaze Prediction for Virtual Reality. IWQoS 2024: 1-6 - [c35]Beizhang Guo, Juntao Bao, Baili Chai, Di Wu, Miao Hu:
Lumos: Optimizing Live 360-degree Video Upstreaming via Spatial-Temporal Integrated Neural Enhancement. ACM Multimedia 2024: 7210-7219 - [c34]Linchang Xiao, Zili Xiao, Di Wu, Miao Hu:
EWS: Towards Cost-Effective Job Scheduling via Combinatorial Multi-Armed Bandit Learning. NAS 2024: 1-8 - [i13]Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li:
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. CoRR abs/2404.14061 (2024) - [i12]Xianzhi Zhang, Yipeng Zhou, Di Wu, Shazia Riaz, Quan Z. Sheng, Miao Hu, Linchang Xiao:
A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges. CoRR abs/2405.01844 (2024) - [i11]Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Miao Hu, Linchang Xiao:
PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy. CoRR abs/2408.14735 (2024) - [i10]Yinlin Zhu, Xunkai Li, Miao Hu, Di Wu:
Federated Continual Graph Learning. CoRR abs/2411.18919 (2024) - [i9]Xianzhi Zhang, Yipeng Zhou, Miao Hu, Di Wu, Pengshan Liao, Mohsen Guizani, Michael Sheng:
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation. CoRR abs/2412.02934 (2024) - 2023
- [j26]Gangqiang Zhou, Zhenxiao Luo, Miao Hu, Di Wu:
PreSR: Neural-Enhanced Adaptive Streaming of VBR-Encoded Videos With Selective Prefetching. IEEE Trans. Broadcast. 69(1): 49-61 (2023) - [j25]Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Di Wu:
Live360: Viewport-Aware Transmission Optimization in Live 360-Degree Video Streaming. IEEE Trans. Broadcast. 69(1): 85-96 (2023) - [j24]Mengyu Yang, Zhenxiao Luo, Miao Hu, Min Chen, Di Wu:
A Comparative Measurement Study of Point Cloud-Based Volumetric Video Codecs. IEEE Trans. Broadcast. 69(3): 715-726 (2023) - [j23]Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, Di Wu:
LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online Learning. IEEE Trans. Multim. 25: 2788-2798 (2023) - [j22]Zhenxiao Luo, Baili Chai, Zelong Wang, Miao Hu, Di Wu:
Masked360: Enabling Robust 360-degree Video Streaming with Ultra Low Bandwidth Consumption. IEEE Trans. Vis. Comput. Graph. 29(5): 2690-2699 (2023) - [c33]Lei Tan, Miao Hu, Yipeng Zhou, Di Wu:
Analyzing the Convergence of Federated Learning with Biased Client Participation. ADMA (2) 2023: 423-439 - [c32]Lei Tan, Yunchao Yang, Miao Hu, Yipeng Zhou, Di Wu:
FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning. ICA3PP (5) 2023: 132-150 - [c31]Pengshan Liao, Xinkai Che, Miao Hu, Di Wu:
Cognitive Diagnosis Driven Programming Ability Evaluation. ICAICE 2023: 847-852 - [c30]Jiahong Xu, Zhenxiao Luo, Zelong Wang, Gangqiang Zhou, Miao Hu:
PatchSR: Achieving HD Video Streaming with Pre-downloaded Universal SR Models. ICCAI 2023: 343-350 - [c29]Mengyu Yang, Di Wu, Zelong Wang, Miao Hu, Yipeng Zhou:
Understanding and Improving Perceptual Quality of Volumetric Video Streaming. ICME 2023: 1979-1984 - [c28]Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu:
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. IJCAI 2023: 3993-4001 - [c27]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. IJCAI 2023: 4478-4485 - [i8]Miao Hu, Zhenxiao Luo, Amirmohammad Pasdar, Young Choon Lee, Yipeng Zhou, Di Wu:
Edge-Based Video Analytics: A Survey. CoRR abs/2303.14329 (2023) - [i7]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. CoRR abs/2305.05221 (2023) - [i6]Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu:
FedDWA: Personalized Federated Learning with Online Weight Adjustment. CoRR abs/2305.06124 (2023) - [i5]Xianzhi Zhang, Linchang Xiao, Yipeng Zhou, Miao Hu, Di Wu, Gang Liu:
cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching. CoRR abs/2310.12622 (2023) - 2022
- [j21]Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, Xi Zheng, Jessie Hui Wang, Song Guo, Chao Li:
Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning. IEEE Internet Things J. 9(22): 22147-22157 (2022) - [j20]Miao Hu, Di Wu, Weigang Wu, Julian Cheng, Min Chen:
Quantifying the Influence of Intermittent Connectivity on Mobile Edge Computing. IEEE Trans. Cloud Comput. 10(1): 619-632 (2022) - [j19]Lei Tan, Xiaoxi Zhang, Yipeng Zhou, Xinkai Che, Miao Hu, Xu Chen, Di Wu:
AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights. IEEE Trans. Netw. Sci. Eng. 9(4): 2708-2720 (2022) - [j18]Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo:
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. IEEE Trans. Parallel Distributed Syst. 33(10): 2597-2611 (2022) - [j17]Miao Hu, Di Wu, Yipeng Zhou, Xu Chen, Min Chen:
Incentive-Aware Autonomous Client Participation in Federated Learning. IEEE Trans. Parallel Distributed Syst. 33(10): 2612-2627 (2022) - [j16]Miao Hu, Di Wu, Run Wu, Zhenkai Shi, Min Chen, Yipeng Zhou:
RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems. IEEE Trans. Serv. Comput. 15(5): 2969-2981 (2022) - [j15]Yipeng Zhou, Yao Fu, Zhenxiao Luo, Miao Hu, Di Wu, Quan Z. Sheng, Shui Yu:
The Role of Communication Time in the Convergence of Federated Edge Learning. IEEE Trans. Veh. Technol. 71(3): 3241-3254 (2022) - [c26]Miao Hu, Zhenxiao Luo, Yipeng Zhou, Xuezheng Liu, Di Wu:
Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications. INFOCOM 2022: 560-569 - [c25]Jiang Wu, Xuezheng Liu, Jiahao Liu, Miao Hu, Di Wu:
DPFed: Toward Fair Personalized Federated Learning with Fast Convergence. MSN 2022: 510-517 - [c24]Zelong Wang, Zhenxiao Luo, Miao Hu, Di Wu, Youlong Cao, Yi Qin:
Revisiting super-resolution for internet video streaming. NOSSDAV 2022: 8-14 - 2021
- [j14]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. J. Netw. Comput. Appl. 178: 102970 (2021) - [j13]Jieyu Xu, Wen Bai, Miao Hu, Haibo Tian, Di Wu:
Bitcoin miners: Exploring a covert community in the Bitcoin ecosystem. Peer-to-Peer Netw. Appl. 14(2): 644-654 (2021) - [j12]Miao Hu, Jiawen Chen, Di Wu, Yipeng Zhou, Yi Wang, Hong-Ning Dai:
TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming. IEEE Trans. Circuits Syst. Video Technol. 31(10): 4107-4120 (2021) - [j11]Jinyu Chen, Xianzhuo Luo, Miao Hu, Di Wu, Yipeng Zhou:
Sparkle: User-Aware Viewport Prediction in 360-Degree Video Streaming. IEEE Trans. Multim. 23: 3853-3866 (2021) - [c23]Zhenxiao Luo, Xinglong Wang, Yuxiao Zhang, Zelong Wang, Miao Hu, Di Wu:
Characterizing the Performance of Deep Learning Inference for Edge Video Analytics. Big Data (CCF) 2021: 297-309 - [c22]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. MSN 2021: 592-599 - [c21]Gangqiang Zhou, Run Wu, Miao Hu, Yipeng Zhou, Tom Z. J. Fu, Di Wu:
Vibra: neural adaptive streaming of VBR-encoded videos. NOSSDAV 2021: 1-8 - [c20]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. NOSSDAV 2021: 90-97 - [c19]Xianzhi Zhang, Guoqiao Ye, Miao Hu, Di Wu:
Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast. PDCAT 2021: 57-68 - [i4]Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, James Xi Zheng, Hui Wang, Song Guo:
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning. CoRR abs/2102.00404 (2021) - [i3]Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo:
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. CoRR abs/2102.00646 (2021) - [i2]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. CoRR abs/2103.06472 (2021) - 2020
- [j10]Miao Hu, Zixuan Xie, Di Wu, Yipeng Zhou, Xu Chen, Liang Xiao:
Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach. IEEE Trans. Parallel Distributed Syst. 31(9): 2139-2154 (2020) - [c18]Jiawen Chen, Miao Hu, Zhenxiao Luo, Zelong Wang, Di Wu:
SR360: boosting 360-degree video streaming with super-resolution. NOSSDAV 2020: 1-6 - [c17]Jianchao He, Miao Hu, Yipeng Zhou, Di Wu:
LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning. NOSSDAV 2020: 54-59 - [c16]Run Wu, Gangqiang Zhou, Miao Hu, Di Wu:
VBSSR: Variable Bitrate Encoded Video Streaming with Super-Resolution on HPC Education Platform. PAAP 2020: 224-235 - [c15]Run Wu, Chenyu Luo, Miao Hu, Di Wu:
Inferring Prerequisite Relationships Among Learning Resources for HPC Education. PAAP 2020: 270-281 - [c14]Zixuan Xie, Run Wu, Miao Hu, Haibo Tian:
Blockchain-Enabled Computing Resource Trading: A Deep Reinforcement Learning Approach. WCNC 2020: 1-8
2010 – 2019
- 2019
- [j9]Yan Zhou, Zhanpeng Wu, Yipeng Zhou, Miao Hu, Chunfeng Yang, Jing Qin:
Exploring Popularity Predictability of Online Videos With Fourier Transform. IEEE Access 7: 41823-41834 (2019) - [j8]Miao Hu, Lei Zhuang, Di Wu, Yipeng Zhou, Xu Chen, Liang Xiao:
Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing. IEEE Trans. Parallel Distributed Syst. 30(8): 1802-1815 (2019) - [c13]Lin Wu, Yongjun Xu, Fei Wang, Qiang Lu, Miao Hu:
Real-time Ship Track Association: a Benchmark and a Network-Based Method. FUSION 2019: 1-8 - 2017
- [j7]Miao Hu, Zhangdui Zhong, Minming Ni, Zhe Wang, Weiliang Xie, Xiaoyu Qiao:
Integrity-Oriented Content Offloading in Vehicular Sensor Network. IEEE Access 5: 4140-4153 (2017) - [j6]Zhe Wang, Zhangdui Zhong, Minming Ni, Miao Hu, Chih-Yung Chang:
Bus-based content offloading for vehicular networks. J. Commun. Networks 19(3): 250-258 (2017) - [j5]Miao Hu, Zhangdui Zhong, Yong Niu, Minming Ni:
Duration-Variable Participant Recruitment for Urban Crowdsourcing With Indeterministic Trajectories. IEEE Trans. Veh. Technol. 66(11): 10271-10282 (2017) - 2016
- [j4]Miao Hu, Zhangdui Zhong, Minming Ni, Andrea Baiocchi:
Design and Analysis of A Beacon-Less Routing Protocol for Large Volume Content Dissemination in Vehicular Ad Hoc Networks. Sensors 16(11): 1834 (2016) - [c12]Miao Hu, Zhangdui Zhong, Minming Ni, Zhe Wang:
Theoretical Analysis of Obstruction's Influence on Data Dissemination in Vehicular Networks. ADHOCNETS 2016: 105-116 - [c11]Zhe Wang, Zhangdui Zhong, Minming Ni, Miao Hu:
Performance Analysis for Traffic-Aware Utility in Vehicular Ad Hoc Networks. ADHOCNETS 2016: 117-127 - 2015
- [j3]Miao Hu, Zhangdui Zhong, Minming Ni, Ruisi He:
Analysis of Link Lifetime With Auto-Correlated Shadowing in High-Speed Railway Networks. IEEE Commun. Lett. 19(12): 2106-2109 (2015) - [j2]Miao Hu, Zhangdui Zhong, Chih-Yung Chang:
MMS-MVN: a multimedia multicast scheduling method for multi-hop vehicular networks. Int. J. Ad Hoc Ubiquitous Comput. 20(4): 237-248 (2015) - [c10]Minming Ni, Jianping Pan, Miao Hu, Zhangdui Zhong:
Recursion-Based Analysis for Information Propagation in Vehicular Ad Hoc Networks. GLOBECOM 2015: 1-6 - [c9]Miao Hu, Zhangdui Zhong, Minming Ni:
Decision at the intersection for data delivery in urban vehicular ad hoc networks. ICCVE 2015: 122-123 - [c8]Minming Ni, Miao Hu, Zhe Wang, Zhangdui Zhong:
Packet reception probability of VANETs in urban intersecton scenario. ICCVE 2015: 124-125 - [c7]Miao Hu, Zhangdui Zhong, Minming Ni, Ruifeng Chen, Hao Wu, Chih-Yung Chang:
Mobility aware link lifetime analysis for vehicular networks. WCNC 2015: 1853-1858 - [i1]Minming Ni, Jianping Pan, Miao Hu, Zhangdui Zhong:
Recursion-based Analysis for Information Propagation in Vehicular Ad Hoc Networks. CoRR abs/1512.04156 (2015) - 2014
- [j1]Ruifeng Chen, Zhengguo Sheng, Zhangdui Zhong, Minming Ni, Victor C. M. Leung, David G. Michelson, Miao Hu:
Connectivity Analysis for Cooperative Vehicular Ad Hoc Networks Under Nakagami Fading Channel. IEEE Commun. Lett. 18(10): 1787-1790 (2014) - [c6]Miao Hu, Zhangdui Zhong, Wei Chen:
Sparse Erroneous Vehicular Trajectory Compression and Recovery via Compressive Sensing. MASS 2014: 668-673 - [c5]Miao Hu, Zhangdui Zhong, Ruifeng Chen, Minming Ni, Hao Wu, Chih-Yung Chang:
Link Duration for Infrastructure Aided Hybrid Vehicular Ad Hoc Networks in Highway Scenarios. MILCOM 2014: 929-934 - [c4]Bei Zhang, Zhangdui Zhong, Minming Ni, Miao Hu, Ruisi He:
A General Two-Link Correlation Model of Shadow Fading in Wireless Sensor Network. MoMM 2014: 281-286 - 2013
- [c3]Miao Hu, Zhangdui Zhong, Chih-Yung Chang:
A Multicast Scheduling Approach for Layered Video Service in Vehicular Ad Hoc Networks. IMIS 2013: 387-392 - [c2]Miao Hu, Zhangdui Zhong, Haoqing Zhu, Minming Ni, Chih-Yung Chang:
Analytical modeling of link duration for vehicular ad hoc networks in urban environment. Vehicular Ad Hoc Networks 2013: 61-70 - [c1]Miao Hu, Zhangdui Zhong, Hao Wu, Minming Ni:
Effect of fading channel on link duration in Vehicular Ad Hoc Networks. WCNC 2013: 1669-1673
Coauthor Index
[j32] [j31] [j30] [j29] [j28] [j27] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [i13] [i12] [i11] [i10] [i9] [j26] [j25] [j24] [j23] [j22] [c33] [c32] [c31] [c29] [c28] [c27] [i8] [i7] [i6] [i5] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c26] [c25] [c24] [j14] [j13] [j12] [j11] [c23] [c22] [c21] [c20] [c19] [i4] [i3] [i2] [j10] [c18] [c17] [c16] [c15] [j8]
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