

个人简介:
黄兆武,男,博士,讲师,2018年获得南京理工大学学士学位,2025年9月毕业于东南大学计算机科学与工程学研,获工学博士学位,师从东方教授。博士毕业后于2025年12月加入福州大学计算机与大数据学院,在福建省网络计算与智能信息处理重点实验室从事教学科研工作。曾在IEEE INFOCOM,IEEE TMC,IEEE ICDCS,ACM ICPP,IEEE SECON,IEEE IoTJ,IEEE TST等国际期刊或会议上发表论文20余篇。担任IEEE TMC,IEEE TC,ACM MM,IEEE IoTJ 等重要期刊及会议审稿人。
办公室:福州大学旗山校区计算机与大数据学院2号楼220
联系邮箱:zwh@fzu.edu.cn
教育背景:
2014.9-2018.6 南京理工大学,网络工程,学士
2018.9-2025.9 东南大学,计算机科学与技术,博士
研究方向:
边缘计算与边缘智能
基于边缘智能的视觉应用优化
基于边云协同的大语言模型推理加速
面向无服务计算的函数调度与冷启动优化
招生信息:
目前正在招收2026级硕士生!
欢迎对边缘计算和边缘智能感兴趣的研究生和本科生联系我!
欢迎有追求有梦想的学生联系我!
发表论文:
- Zhaowu Huang, Fang Dong, Xiaolin Guo, Daheng Yin. FaSei: Fast Serverless Edge Inference with Synergistic Lazy Loading and Layer-wise Caching[C]. IEEE International Conference on Computer Communications (INFOCOM) 2025. (CCF A)
- Zhaowu Huang, Fang Dong, Dian Shen, Huitian Wang, Xiaolin Guo, Shucun Fu. Enabling Latency-Sensitive DNN Inference via Joint Optimization of Model Surgery and Resource Allocation in Heterogeneous Edge[C]. ACM International Conference on Parallel Processing (ICPP), 2022: 1-11. (CCF B)
- Zhaowu Huang, Fang Dong, Dian Shen, Junxue Zhang, Huitian Wang, Guangxing Cai, Qiang He. Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild[C]. IEEE International Conference on Distributed Computing Systems (ICDCS), 2021: 729-739. (CCF B)
- Zhaowu Huang, Fang Dong, Haopeng Zhu, Mengyang Liu, Dian Shen, Ruiting Zhou, Xiaolin Guo, Baijun Chen. ADPTD: Adaptive Data Partition with Unbiased Task Dispatching for Video Analytics at the Edge[J]. IEEE Internet of Things Journal (IOT), 2024. (JCR Q1, 中科院一区)
- Zhaowu Huang, Fang Dong, Ruanwen Long, Xiaolin Guo, Jinghui Zhang. Adaptive Microservice Deployment for Data Partition-based Applications in MEC[J]. Tsinghua Science and Technology (TST), 2024. (JCR Q1, 中科院一区)
- Zhaowu Huang, Fang Dong, Xiaolin Guo, Haodong Tian. Joint Layer-wise Caching and Request Routing for Serverless Inference Acceleration at the Edge[C]. IEEE International Conference on High Performance Computing and Communications (HPCC), 2024. (CCF C)
- Xiaolin Guo, Zhaowu Huang, Fan sun, Fang Dong. Enabling Adaptive Task Dispatching for Real-time Video Analytics in Uncertain Edge Environments[C]. ACM Turing Award Celebration Conference (TURC) Poster, 2023. (共同一作, Best poster award)
- Lisha Gao, Jing Tan, Haoyu Yang, Zhenxuan Xu, Zhaowu Huang*, Fang Dong, Shuo Hanl. Adaptive Region Encoding for Efficient Video Object Detection in Edge Computing[J]. Knowledge-Based Systems, 2026: 115323.(JCR Q1)
- Daheng Yin, Yili Jin, Jianxin Shi, Isaac Ding, Miao Zhang, Fangxin Wang, Zhaowu Huang*, Cong Zhang, Jiangchuan Liu, Fang Dong. CAGS: Color-Adaptive Volumetric Video Streaming with Dynamic 3D Gaussian Splatting. ACM SIGGRAPH 2026.(CCF A)
- Xiaolin Guo, Fang Dong*, Dian Shen, Zhaowu Huang. Popularity-aware Layer-wise Caching and Function Scheduling for Dynamic Workflow at the Edge. IEEE Transactions on Mobile Computing, 2025.(CCF A)
- Xiaolin Guo, Fang Dong, Dian Shen, Zhaowu Huang, Jinghui Zhang. Resource-Efficient DNN Inference with Early Exiting in Serverless Edge Computing[J]. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
- Fang Dong, Huitian Wang, Dian Shen, Zhaowu Huang, Qiang He, Jinghui Zhang. Multi-exit DNN Inference Acceleration based on Multi-Dimensional Optimization for Edge Intelligence[J]. IEEE Transactions on Mobile Computing 2022. (CCF A)
- Daheng Yin, Jianxin Shi, Miao Zhang, Zhaowu Huang, Jiangchuan Liu, Fang Dong. FSVFG: Towards Immersive Full-Scene Volumetric Video Streaming with Adaptive Feature Grid[C]. ACM International Conference on Multimedia (MM), 2024. (CCF A)
- Shucun Fu, Fang Dong, Dian Shen, Jinghui Zhang, Zhaowu Huang, Qiang He. Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning[J]. IEEE Transactions on Services Computing (TSC), 2024. (CCF A)
- Xiaolin Guo, Fang Dong, Dian Shen, Zhaowu Huang. Exploiting the Computational Path Diversity with In-network Computing for MEC[C]. IEEE International Conference on Sensing, Communication, and Networking (SECON), 2022: 280-288. (CCF B)
- Maojie Sun, Fang Dong, Zhaowu Huang, Junzhou Luo. Adaptive Model Compression for Steel Plate Surface Defect Detection: An Expert Knowledge and Working Condition-Based Approach[J]. Tsinghua Science and Technology. (JCR Q1, 中科院一区)
- Xiaolin Guo, Fang Dong, Dian Shen, Zhaowu Huang, Baijun Chen, Daheng Yin. Rendering Super Resolution Video Streaming Efficiently with in-Network Computing[C]. IEEE International Conference on High Performance Computing and Communications (HPCC), 2024. (CCF C, Best Student Paper Award)
发明专利:
- 东方,黄兆武,沈典. 一种用于边缘计算环境中面向深度学习应用的任务卸载方法, 国家发明专利,授权时间:2023.5.23,授权号:201910525863.3.
- 东方,王慧田,沈典,蔡光兴,黄兆武. 面向边缘智能应用的深度神经网络多路径推理加速方法,国家发明专利,授权时间:2023.8.22,授权号:202010180260.7