Hu Miao

Associate Professor

Email: humiao5@mail.sysu.edu.cn

**Faculty Profile:**  

**Hu Miao**, Ph.D., Associate Professor, Doctoral Supervisor. He received his bachelor's and doctoral degrees from Beijing Jiaotong University in 2011 and 2017, respectively. From 2014 to 2015, he studied as a joint Ph.D. student at Pennsylvania State University in the United States. In 2017, he joined the School of Computer Science and Engineering at Sun Yat-sen University, where he successively served as a Distinguished Associate Research Fellow (under the supervision of Professor Wu Di) and an Associate Professor. He has published over 100 high-quality academic papers in top-tier journals and conferences, including IEEE TMC, JSAC, TPDS, TSC, TMM, TCSVT, INFOCOM, ICML, IJCAI, and MM. He has led more than 10 research projects, including the General Program and Young Scientists Fund of the National Natural Science Foundation of China, the General Program and Doctoral Research Startup Fund of the Guangdong Provincial Natural Science Foundation, the Key Research and Development Program of Guangzhou, the Innovation Talent Cultivation Program of Sun Yat-sen University, and enterprise-commissioned R&D projects. He has also participated as a core member in key projects such as the National Key Research and Development Program (ranked third) and the Joint Fund Key Project of the National Natural Science Foundation of China.  

He is a senior member of the China Computer Federation (CCF) and serves as an Executive Committee Member of the Edge Computing Technical Committee of the Chinese Association of Automation and the Distributed Computing and Systems Technical Committee of CCF. He has also served as a program committee member for several international workshops and as a reviewer for numerous top-tier journals and conferences. His primary research interests include **Novel Computing Systems (NCSys)**, **Artificial Intelligence Systems (AISys)**, and **Network Multimedia Systems (MMSys)**.  

He consistently recruits Ph.D. and master's students. Outstanding undergraduate students are welcome to join his lab, with opportunities for further studies for those who perform exceptionally well.  

Students interested in recommendation for admission or the postgraduate entrance examination are encouraged to contact him directly for inquiries about laboratory enrollment quotas and related matters.  

 

**Research Areas:**  

1. **Novel Computing Systems (NCSys):** High-performance computing, heterogeneous computing, edge computing, cloud computing, etc.  
2. **Artificial Intelligence Systems (AISys):** Large model inference acceleration, large model compression, large model security, educational large models, etc.  
3. **Network Multimedia Systems (MMSys):** Immersive video, generative video, stereoscopic video, etc.  

 

**Educational Background:**  

- 2011.09–2017.10: Ph.D., Beijing Jiaotong University  
- 2007.09–2011.07: Bachelor's Degree, Beijing Jiaotong University  

 

**Work Experience:**  

- 2021.06–Present: Associate Professor, Sun Yat-sen University  
- 2017.11–2021.05: Distinguished Associate Research Fellow, Sun Yat-sen University  

 

**Overseas Experience:**  

- 2014.09–2015.09: Joint Ph.D. Student, Pennsylvania State University  

 

**Awards and Honors:**  

- 2025: Special Prize, Guangdong Provincial Undergraduate Teaching Achievement Award  
- 2025: First Prize, Science and Technology Progress Award, Guangdong Internet of Things Society  
- 2025: Special Prize, Undergraduate Education and Teaching Achievement Award, Sun Yat-sen University  
- 2025: Best Paper Award, IEEE International Conference on High Performance and Smart Computing (IEEE HPSC)  
- 2025: Best Student Paper Award, IEEE International Conference on Edge Computing and Scalable Cloud (IEEE EdgeCom)  
- 2024: Best Paper Award, International Wireless Communications and Mobile Computing Conference (IWCMC)  
- 2023: First Prize, 11th Undergraduate Education and Teaching Achievement Award, Sun Yat-sen University  
- 2023: Best Paper Award, International Conference on Computing and Artificial Intelligence (ICCAI)  
- 2021: Best Paper Award, International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)  

 

**Research Projects:**  

- General Program, National Natural Science Foundation of China: Research on Efficient Resource Incentive and Scheduling Collaborative Optimization Mechanisms for Edge Intelligence (Project Leader)  
- General Program, National Natural Science Foundation of China: Research on QoE-Aware 360-Degree Panoramic Streaming Distribution Mechanisms Driven by Edge Computing (Project Leader)  
- Young Scientists Fund, National Natural Science Foundation of China: Research on Efficient Task Offloading Mechanisms for Asymmetric Multimedia Edge Computing (Project Leader)  
- General Program, Guangdong Provincial Natural Science Foundation: Research on Federated Learning Client Selection Mechanisms under Incomplete Information (Project Leader)  
- Young Scientists Fund, Guangdong Provincial Natural Science Foundation: Research on Efficient Edge Computing Task Offloading Mechanisms Based on Asymmetric Information (Project Leader)  
- Key Research and Development Program of Guangzhou: Online Education Platform and Application Demonstration Based on Data Intelligence (Project Leader, University Side)  
- Basic Research Program of Guangzhou Science and Technology Plan: Research on Incentive Mechanisms for Federated Learning (Project Leader)  
- CCF-NetEase Thunderfire Joint Fund: Research on Generative Model Compression Methods for Game Scenarios (Project Leader)  
- Young Top-Notch Talent Cultivation Program, Sun Yat-sen University: Research on Efficient Heterogeneous Computing Resource Allocation and Scheduling Mechanisms for Intelligent Computing Applications (Project Leader)  
- Key Young Teacher Cultivation Program, Sun Yat-sen University: Research on Key Technologies for Cloud-Edge Collaborative Multimedia Edge Computing (Project Leader)  
- National Key Research and Development Program: Application Support Environment and Development Framework for Next-Generation Domestic Supercomputing Systems (Core Member)  
- National Key Research and Development Program: HPC Education Practice Platform 2.0 Based on National High-Performance Computing Environment (Core Member)  
- Joint Fund Key Project, National Natural Science Foundation of China: Research on Systematic Monitoring, Evaluation, Intelligent Decision-Making, and Application of Education Based on the "Tianhe-2" Supercomputer (Core Member)  

 

**Major Academic Affiliations:**  

- 2025.12–Present: Executive Committee Member, Network and System Security Technical Committee, China Computer Federation (CCF)  
- 2024.07–Present: Executive Committee Member, Distributed Computing and Systems Technical Committee, China Computer Federation (CCF)  
- 2018.12–Present: Executive Committee Member, Edge Computing Technical Committee, Chinese Association of Automation  

**Courses Taught:**  

- *Fundamentals of University Computer Science*  
- *Computer Architecture*  
- *Parallel Programming and Algorithms*

 

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；

 

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】