胡淼

教师简介: 

胡淼，博士，副教授，博士生导师。2011 年和 2017 年在北京交通大学获学士和博士学位。2014 年至2015 年于美国宾夕法尼亚州立大学博士联合培养。2017 年加入jbo竞博电竞官方网站工作，先后担任特聘副研究员（合作导师：吴迪 教授）、副教授。发表高水平学术论文 80 余篇，包括 IEEE TMC, JSAC, TPDS, TSC, TMM, TCSVT, INFOCOM, ICML, IJCAI, MM 等顶级期刊和会议，主持科研项目/课题 10 余项，包括：国家自然科学基金面上项目、国家自然科学基金青年项目、广东省自然科学基金面上项目、广东省自然科学基金博士科研启动项目、广州市重点研发计划课题、jbo竞博电竞官方网站创新人才培育计划项目等，以项目骨干身份参与国家重点研发计划（排名第三）和国家自然科学基金联合基金重点项目等。担任中国自动化学会边缘计算专业委员会执行委员、 中国计算机学会分布式计算与系统专委会执行委员，先后担任多个国际研讨会的程序委员会成员，以及若干顶级期刊和会议的审稿人。主要研究方向包括：新型计算系统（NCSys）、人工智能系统（AISys）以及网络多媒体系统（MMSys）等。

长期招收博士研究生、硕士研究生。欢迎优秀本科生加入实验室，表现优秀者可以推荐深造。

欢迎推免/考研学生联系本人咨询实验室的招生名额和相关事宜！

研究领域: 

1. 新型计算系统（NCSys）：高性能计算、异构计算、边缘计算、云计算等；

2. 人工智能系统（AISys）：大模型推理加速、模型量化、联邦学习、教育大模型等；

3. 网络多媒体系统（MMSys）：沉浸式视频、生成式视频、立体视频等；

教育背景: 

2011.09-2017.10 北京交通大学 博士

2007.09-2011.07 北京交通大学 学士

工作经历: 

2021.06-至今 jbo竞博电竞官方网站 副教授

2017.11-2021.05 jbo竞博电竞官方网站 特聘副研究员

海外经历: 

2014.09-2015.09 宾夕法尼亚州立大学 联合培养博士

2012.10-2013.08 淡江大学 访问学者

获奖及荣誉: 

2018.04 ACM TURC Excellent ACM China Lecturer

2021.12 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), Guangzhou, China, December 17-19, 2021. (Best Paper Award)

2023.09 Jiahong Xu, Zhenxiao Luo, Zelong Wang, Gangqiang Zhou, and Miao Hu*. 2023. PatchSR: Achieving HD Video Streaming with Pre-downloaded Universal SR Models. In Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence (ICCAI). Association for Computing Machinery, New York, NY, USA, 343–350. (Best Paper Award)

2024.05 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), Ayia Napa, Cyprus, 27–31 May 2024. (Best Paper Award)

科研项目: 

• 国家自然科学基金面上项目，边缘计算驱动的QoE可感知360度全景流媒体分发机制研究，项目负责人
• 国家自然科学基金青年项目，面向非对称多媒体边缘计算的高效任务迁移机制研究，项目负责人
• 广东省自然科学基金面上项目，非完全信息下联邦学习客户端选择机制研究，项目负责人
• 广东省自然科学基金青年项目，基于非对称信息的高效边缘计算任务迁移机制研究，项目负责人
• 广州市重点研发计划，基于数据智能的在线教育平台及应用示范，项目负责人（高校方）
• 广州市科技计划基础项目，联邦学习激励机制研究，项目负责人
• jbo竞博电竞官方网站青年拔尖人才培育项目，面向智算应用的高效异构算力资源分配与调度机制研究，项目负责人
• jbo竞博电竞官方网站青年教师培育重点项目，基于云边协同的多媒体边缘计算关键技术研究，项目负责人
• 国家重点研发计划，基于国家高性能计算环境的HPC教育实践平台2.0，项目骨干
• 国家自然科学基金联合基金重点项目，基于"天河二号"超级计算机的教育系统化监控评估、智能决策仿真与应用研究，项目骨干

主要学术兼职: 

2018.12 – 至今  中国自动化学会，边缘计算专业委员会，执行委员

2024.07 – 至今  中国计算机学会，分布式计算与系统专委会，执行委员

教授课程: 

• 《大学计算机基础》
• 《计算机体系结构》
• 《并行程序设计与算法》

代表性论著: 

1. 新型计算系统（NCSys）：高性能计算、异构计算、边缘计算、云计算等；

• [11] Xianzhi Zhang, Yipeng Zhou, Di Wu*, Quan Z. Sheng, Shazia Riaz, Miao Hu, and Linchang Xiao. A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges, in ACM Computing Surveys, 57, 5, Article 114 (May 2025), 38 pages. 【中科院大类一区】
• [10] 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, vol. 24, no. 3, pp. 1731-1743, March 2025. 【CCF-A类】
• [9] 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, Feb. 2025, pp. 600-613. 【CCF-A类】
• [8] Linchang Xiao, Xianzhi Zhang, Di Wu*, Miao Hu, Yipeng Zhou, and Shui Yu. History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms, in IEEE Transactions on Services Computing, vol. 17, no. 6, pp. 3773-3788, Nov.-Dec. 2024. 【CCF-A类】
• [7] Miao Hu, Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, Xu Chen, and Di Wu*, "AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning," in IEEE Transactions on Mobile Computing, vol. 23, no. 1, pp. 194-208, Jan. 2024.【CCF-A类，ESI高被引论文】
• [6] Xianzhi Zhang, Yipeng Zhou, Di Wu*, Miao Hu, Xi Zheng, Min Chen, and Song Guo, "Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach," in IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 9, pp. 2139-2154, Sept. 2022.【CCF-A类】
• [5] 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, vol. 71, no. 3, pp. 3241-3254, March 2022.【中科院大类二区】
• [4] 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, vol. 10, no. 1, pp. 619-632, Jan.-March 2022.【中科院大类二区】
• [3] 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, vol. 31, no. 9, pp. 2139-2154, Sept. 2020. 【CCF-A类】
• [2] Zixuan Xie, Run Wu, Miao Hu* and Haibo Tian, "Blockchain-Enabled Computing Resource Trading: A Deep Reinforcement Learning Approach," IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-8. 
• [1] 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, vol. 30, no. 8, pp. 1802-1815, Aug. 2019. 【CCF-A类】

2. 人工智能系统（AISys）：大模型推理加速、模型量化、联邦学习、教育大模型等；

• [14] Runze Wang, Jiahao Liu, Miao Hu*, Yipeng Zhou, and Di Wu. Local Differentially Private Release of Infinite Streams With Temporal Relevance, in ACM Web Conference (WWW), Sydney, Australia, 28 April - 2 May 2025. 【CCF-A类】
• [13] Miao Hu, Qi He, Di Wu*. QLLMS: Quantization-adaptive LLM Scheduling for Partially Informed Edge Serving Systems, in IEEE International Conference on Computer Communications (INFOCOM), London, United Kingdom, 19–22 May 2025. 【CCF-A类】
• [12] 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, in press, 2025. 【CCF-A类】
• [11] 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 (ICDM), Abu Dhabi, UAE, 9-12 December 2024.【CCF-B类】
• [10] 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, vol. 11, no. 19, pp. 31687-31698, 1 Oct., 2024.【中科院大类一区】
• [9] 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), Jeju, Korea, 3-9 August 2024. 【CCF-A类】
• [8] 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), Vienna, Austria, 21-27 July 2024.【CCF-A类】
• [7] 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, vol. 19, pp. 892-906, 2024.【CCF-A类】
• [6] Yunchao Yang, Yipeng Zhou, Miao Hu*, Di Wu, and Quan Z. Sheng, "BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning," 32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 19th-25th August 2023.【CCF-A类】
• [5] Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, and Di Wu*, "FedDWA: Personalized Federated Learning with Online Weight Adjustment," 32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 19th-25th August 2023.【CCF-A类】
• [4] Wenzhuo Yang, Yipeng Zhou, Miao Hu, and Di Wu*, Xi Zheng, Jessie Hui Wang, Song Guo and Chao Li, "Gain without Pain: Offsetting DP-injected Noises Stealthily in Cross-device Federated Learning," in IEEE Internet of Things Journal, vol. 9, no. 22, pp. 22147-22157, 15 Nov., 2022.【中科院大类一区】
• [3] Miao Hu, Di Wu*, Yipeng Zhou, Xu Chen and Min Chen, "Incentive-Aware Autonomous Client Participation in Federated Learning," in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 10, pp. 2612-2627, Oct. 2022.【CCF-A类】
• [2] Miao Hu, Di Wu*, Run Wu, Zhengkai Shi, Min Chen, and Yipeng Zhou, “RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems,” in IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2969-2981, 1 Sept.-Oct. 2022. 【CCF-A类】
• [1] 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, vol. 9, no. 4, pp. 2708-2720, 1 July-Aug. 2022.

3. 网络多媒体系统（MMSys）：沉浸式视频、生成式视频、立体视频等；

① AR/VR/元宇宙

• [13] 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), Melbourne, Australia, 28 October - 1 November 2024. 【CCF-A类】
• [12] 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 (IWQoS), Guangzhou, China, 19–21 June 2024.【CCF-B类】
• [11] 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 Journal on Selected Areas in Communications, vol. 42, no. 4, pp. 978-989, April 2024.【CCF-A类】
• [10] 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, vol. 69, no. 4, pp. 927-940, Dec. 2023.【中科院大类一区】
• [9] Mengyu Yang, Zhenxiao Luo, Miao Hu, Min Chen and Di Wu*, "A Comparative Measurement Study of Point Cloud-Based Volumetric Video Codecs," in IEEE Transactions on Broadcasting, vol. 69, no. 3, pp. 715-726, Sept. 2023.【中科院大类一区】
• [8] Mengyu Yang, Di Wu*, Zelong Wang, Miao Hu, and Yipeng Zhou, "Understanding and improving perceptual quality of volumetric video streaming," IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, July 10-14, 2023.【CCF-B类】
• [7] 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, vol. 29, no. 5, pp. 2690-2699, May 2023. (also accepted by IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Shanghai, China, March 25-29, 2023.)【CCF-A类】
• [6] Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu and Di Wu*, "Live360: Viewport-Aware Transmission Optimization in Live 360-Degree Video Streaming," in IEEE Transactions on Broadcasting, vol. 69, no. 1, pp. 85-96, March 2023.【中科院大类一区】
• [5] Miao Hu, Zhenxiao Luo, Yipeng Zhou, Xuezheng Liu, and Di Wu*, "Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications," in IEEE International Conference on Computer Communications (INFOCOM), May 2-5, London, United Kingdom, 2022, pp. 560-569.【CCF-A类】
• [4] 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, vol. 31, no. 10, pp. 4107-4120, Oct. 2021. 【中科院大类一区】
• [3] 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, vol. 23, pp. 3853-3866, 2021.【中科院大类一区】
• [2] 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, 178: 102970, 2021.
• [1] Jiawen Chen, Miao Hu*, Zhenxiao Luo, Zelong Wang, and Di Wu, “SR360: boosting 360-degree video streaming with super-resolution,” in Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 1-6, June 2020.【CCF-B类】

② 4K/8K/高清流媒体

• [7] 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, vol. 24, no. 3, pp. 2085-2097, March 2025. 【CCF-A类】
• [6] 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, vol. 69, no. 1, pp. 49-61, March 2023.【中科院大类一区】
• [5] Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, and Di Wu*, "LiveSR: Enabling Universal HD Live Video Streaming with Crowdsourced Online Learning," in IEEE Transactions on Multimedia, vol. 25, pp. 2788-2798, 2023.【中科院大类一区】
• [4] Zelong Wang, Zhenxiao Luo, Miao Hu, Di Wu*, Youlong Cao, and Yi Qin, "Revisiting Super-Resolution for Internet Video Streaming," in Proceedings of the 32nd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 1-6, Athlone, Ireland in June 17, 2022.【CCF-B类】
• [3] Gangqiang Zhou, Run Wu, Miao Hu*, Yipeng Zhou, Tom Z. J. Fu and Di Wu, “Vibra: Neural Adaptive Streaming of VBR-encoded Videos,” in Proceedings of the 31th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 1-7, Sept. 2021.【CCF-B类】
• [2] Zhenxiao Luo, Zelong Wang, Jinyu Chen, Miao Hu, Yipeng Zhou, Tom Z. J. Fu, and Di Wu*, "CrowdSR: Enabling High-Quality Video Ingest in Crowdsourced Livecast via Super-Resolution," in Proceedings of the 31th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 1-6, Sept. 2021.【CCF-B类】
• [1] Jianchao He, Miao Hu*, Yipeng Zhou, and Di Wu, “LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning,” in Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 54-59, June 2020.【CCF-B类】