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 年加入中山大学计算机学院工作，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 100 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 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、中山大学创新人才培育计划项目以及企业委托研发项目等，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。中国计算机学会（CCF）高级会员，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、大模型压缩、大模型安全、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 中山大学 副教授

2017.11-2021.05 中山大学 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

获奖及荣誉: 

2025年 广东省本科教学成果奖 特等奖

2025年 广东省物联网学会科技进步奖 一等奖

2025年 中山大学本科教育教学成果奖 特等奖

2025年 国际高性能和智能计算会议（IEEE HPSC）最佳论文奖

2025年 国际边缘计算与可扩展云会议（IEEE EdgeCom）最佳学生论文奖

2024年 国际无线通信和移动计算会议（IWCMC）最佳论文奖

2023年 中山大学第十一届校级本科教育教学成果奖 一等奖

2023年 国际计算与人工智能会议（ICCAI）最佳论文奖

2021年 国际并行、分布式计算应用技术会议（PDCAT）最佳论文奖

科研项目: 

• 国家自然科学基金面上项目，面向边缘智能的高效资源激励与调度协同优化机制研究，项目负责人
• 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
• CCF-网易雷火联合基金，面向游戏场景的生成式模型压缩方法研究，项目负责人
• 中山大学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
• 中山大学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，面向新一代国产超算系统的应用支撑环境和开发框架，项目骨干
• 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: 

2025.12 – 至今  中国计算机学会，网络与系统安全专业委员会，执行委员

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

2018.12 – 至今  中国自动化学会，边缘计算专业委员会，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；

• [12] Xianzhi Zhang, Yipeng Zhou, Di Wu*, Quan Z. Sheng, Miao Hu, and Linchang Xiao. PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy, in IEEE/ACM Transactions on Networking, vol. 34, pp. 973-988, 2026.【CCF-A类】
• [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、大模型量化、大模型安全、教育大模型等；

• [21] Miao Hu, Yang Li, Pengshan Liao, Yipeng Zhou and Di Wu*. Fairness-aware Federated Recommender Design With Heterogeneous Privacy Budgets, in IEEE Transactions on Services Computing, vol. 19, no. 1, pp. 351-363, Jan.-Feb. 2026.【CCF-A类】
• [20] Wang Luo, Di Wu*, Hengyuan Na, Yinlin Zhu, Miao Hu, Guocong Quan. Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective, in the Fortieth AAAI Conference on Artificial Intelligence (AAAI), Singapore, January 20 - 27, 2026.【CCF-A类】
• [19] Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu*, Meikang Qiu. Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement, in The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec. 2-7, 2025. 【CCF-A类】
• [18] Yang Li, Xianzhi Zhang, Miao Hu*, Di Wu, Yipeng Zhou. W2CB: Online Data Acquisition Optimization with Wasserstein Contextual Combinatorial Bandits, in IEEE Transactions on Services Computing, vol. 18, no. 6, pp. 4349-4363, Nov.-Dec. 2025.【CCF-A类】
• [17] 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, in IEEE Transactions on Services Computing, vol. 18, no. 6, pp. 3523-3537, Nov.-Dec. 2025.【CCF-A类】
• [16] Runze Wang, Yipeng Zhou, Jiahao Liu, Xuezheng Liu, Miao Hu*, Di Wu, Quan Z. Sheng and Song Guo, CODP: Improving Differentially Private Federated Learning by Cascading and Offsetting Noises between Iterations, in IEEE Transactions on Dependable and Secure Computing, vol. 22, no. 6, pp. 5943-5955, Nov.-Dec. 2025.【CCF-A类】
• [15] Yinlin Zhu, Miao Hu, Di Wu*. Federated Continual Graph Learning, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Toronto, ON, Canada, August 3-7, 2025.【CCF-A类】
• [14] 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, vol. 33, no. 3, pp. 1160-1173, June 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] 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】
• [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

• [14] Xianzhi Zhang; Yipeng Zhou; Linchang Xiao; Di Wu*; Miao Hu; John C. S. Lui; Liangbin Zhao, "Pre-Fetch or Not: A Privacy-Aware Edge-User Co-opetition Delivery Framework for Metaverse Multimedia Services," in IEEE Transactions on Services Computing, in press, 2026.【CCF-A类】
• [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】