邓滔，男，博士，苏州大学优秀青年学者，讲师，硕导。2019年毕业于西南交通大学信息与通信工程专业获工学博士学位，师从范平志教授。2016年10月至2018年1月，受国家留学基金委资助赴瑞典乌普萨拉大学信息技术系访问交流。2019年7月至2022年6月，在华为技术有限公司从事预研工作。2022年7月进入苏州大学计算机科学与技术学院工作，主要研究方向为嵌入式AI系统，端侧小模型，边缘智能等，目前已在国际权威期刊及会议发表论文30余篇，包括IEEE TWC、IEEE TC、AAAI等，授权发明专利多项，荣获中国通信学会科技进步一等奖。
主要研究方向：大模型垂直领域应用、大模型终端部署、微型机器学习模型、嵌入式人工智能
作为通信作者指导研究生发表/录用的论文：
[1] Rong Li, Tao Deng, Siwei Feng, He Huang, Juncheng Jia, Di Yuan, and Keqin Li, "WECAR: An end-edge collaborative inference and training framework for WiFi-based continuous human activity recognition," ACM Transactions on Sensor Networks (ToSN), vol. 22, no. 3, pp. 1-24, 2026. (CCF B类期刊)
[2] Xinyi Shen, Tao Deng, Yi Zhao, Juncheng Jia, Mianxiong Dong, Zhicheng Dong, Di Yuan,"WiRAG: Retrieval-augmented generation with large language models (LLM) framework for wifi-based human activity recognition," in Proc. ICASSP, 2026. (CCF B会议)
[3] Yimiao Deng, Tao Deng, Rong Li, Yi Zhao, Juncheng Jia, Sangsha Fang, Di Yuan,"WiCON: A lightweight continual learning approach for wifi-based human activity recognition via mask-adaptive classifier expansion," in Proc. ICASSP, 2026. (CCF B会议)
[4] Dongyu Chen, Tao Deng, He Huang, Juncheng Jia, Mianxiong Dong, Di Yuan, Keqin Li, “Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization”, IEEE Transactions on Mobile Computing (TMC), vol. 25, no. 2, pp. 2594-2610, 2026. (CCF A类期刊)
[5] Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia, ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking, in Proc. AAAI, 2025. (CCF A会议，Oral presentation, Top 4.6%)
[6] Dongyu Chen,Tao Deng, Juncheng Jia, Siwei Feng, Di Yuan, Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks, Computer Networks (ComNet)，2025（CCF B期刊）
[7] Zihao Jiang, Tao Deng, Rong Li, Dongyu Chen,"FECG-KD: Fisher Enhanced and Clustering Guided Knowledge Distillation for Low-Bit Post-training Quantization," International Conference on Intelligent Computing, 2025. (CCF C会议)
第一作者发表的论文：
[1] Tao Deng, Dongyu Chen, Juncheng Jia, Mianxiong Dong, Kaoru Ota, Zhanwei Yu, and Di Yuan, “Optimizing resource allocation and request routing for AI-generated content (AIGC) services in mobile edge networks with cell coupling,” IEEE Transactions on Vehicular Technology (TVT), vol. 73, no. 11, pp. 17911-17916, 2024.
[2] Tao Deng, Zhanwei Yu, and Di Yuan, “Task offloading optimization in mobile edge computing under uncertain processing cycles and intermittent communications,” Computer Networks (ComNet), 245: 110359, 2024.
[3] Tao Deng, Zhanwei Yu, and Di Yuan, “Scheduling for multi-cell caching: Hit maximization subject to age of information,” IEEE Transactions on Vehicular Technology (TVT), Vol. 72, no. 9, pp. 12441-12446, 2023.
[4] Tao Deng, Lei You, Zhanwei Yu, and Di Yuan, “Optimal task allocation for battery-assisted and price-aware mobile edge computing,” IEEE Networking Letters, vol. 5, no. 4, pp. 199-203, 2023.
[5] Tao Deng, Pingzhi Fan, and Di Yuan, “Modeling and optimization of mobility-aware dynamic caching with time-varying content popularity,” IEEE Transactions on Vehicular Technology (TVT), vol. 69, no. 1, pp. 1157-1162, Jan. 2020.
[6] Tao Deng, Pingzhi Fan, and Di Yuan, “Optimizing retention-aware caching in vehicular networks,” IEEE Transactions on Communications (TComm), vol. 67, no. 9, pp. 6139-6152, Sep. 2019.
[7] Tao Deng, Ghafour Ahani, Pingzhi Fan, and Di Yuan, “Cost-optimal caching for D2D networks with user mobility: Modeling, analysis, and computational approaches,” IEEE Transactions on Wireless Communication (TWC), vol. 17, no. 5, pp. 3082-3094, May 2018.
[8] Tao Deng, Xian Wang, Pingzhi Fan, and Keqin Li, “Modeling and performance analysis of a tracking area list-based location management scheme in LTE networks,” IEEE Transactions on Vehicular Technology (TVT), vol. 65, no. 8, pp. 6417-6314, Aug. 2016.
[9] Tao Deng, Lei You, Pingzhi Fan, and Di Yuan, “Device caching for network offloading: Delay minimization with presence of user mobility,” IEEE Wireless Communication Letters (WCL), no. 4, pp. 558-561, Aug. 2018.
[10] Tao Deng, Ghafour Ahani, Pingzhi Fan, and Di Yuan, “Cost-optimal caching for D2D networks with presence of user mobility,” in Proc. IEEE Globecom’17, pp. 1-6, Dec. 2017.
现有团队成员：23级研究生3名，24级研究生2名
23级研究生：
1. 李荣
1) 一作发表AAAI 2025论文一篇（CCF A），并且被选为oral presentation (Top 4.6%)
2) 一作IEEE Transactions on Mobile Computing论文一篇，正在审稿中
3) 申请发明专利一项
4）完成多项实际软硬件系统与样机，包括终端小模型部署，基于大模型本地部署的语音对话机器
2. 陈东宇
1）一作发表IEEE Transactions on Mobile Computing论文一篇 （CCF A期刊）
2）一作发表Computer Networks论文一篇 (CCF B期刊)
3）二作发表IEEE Transaction on Vehicular Technology论文一篇 （SCI 2区）
3. 蒋子豪
1）两篇一作 IJCAI 2025论文正在审稿
24级研究：
1. 邓奕妙
1）参与大模型项目一项
2. 沈心怡
本团队招生名额充足，欢迎优秀青年学者加入本团队，我们一起共同努力做出好的研究成果，发表高质量论文，并做出有实用价值的软硬件系统与样机！
邓滔，男，博士，苏州大学优秀青年学者，讲师，硕导。2019年毕业于西南交通大学信息与通信工程专业获工学博士学位，师从范平志教授。2016年10月至2018年1月，受国家留学基金委资助赴瑞典乌普萨拉大学信息技术系访问交流。2019年7月至2022年6月，在华为技术有限公司从事预研工作。2022年7月进入苏州大学计算机科学与技术学院工作，主要研究方向为嵌入式AI系统，端侧小模型，边缘智能等，目前已在国际权威期刊及会议发表论文30余篇，包括IEEE TWC、IEEE TC、AAAI等，授权发明专利多项，荣获中国通信学会科技进步一等奖。
主要研究方向：大模型垂直领域应用、大模型终端部署、微型机器学习模型、嵌入式人工智能
作为通信作者指导研究生发表/录用的论文：
[1] Rong Li, Tao Deng, Siwei Feng, He Huang, Juncheng Jia, Di Yuan, and Keqin Li, "WECAR: An end-edge collaborative inference and training framework for WiFi-based continuous human activity recognition," ACM Transactions on Sensor Networks (ToSN), vol. 22, no. 3, pp. 1-24, 2026. (CCF B类期刊)
[2] Xinyi Shen, Tao Deng, Yi Zhao, Juncheng Jia, Mianxiong Dong, Zhicheng Dong, Di Yuan,"WiRAG: Retrieval-augmented generation with large language models (LLM) framework for wifi-based human activity recognition," in Proc. ICASSP, 2026. (CCF B会议)
[3] Yimiao Deng, Tao Deng, Rong Li, Yi Zhao, Juncheng Jia, Sangsha Fang, Di Yuan,"WiCON: A lightweight continual learning approach for wifi-based human activity recognition via mask-adaptive classifier expansion," in Proc. ICASSP, 2026. (CCF B会议)
[4] Dongyu Chen, Tao Deng, He Huang, Juncheng Jia, Mianxiong Dong, Di Yuan, Keqin Li, “Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization”, IEEE Transactions on Mobile Computing (TMC), vol. 25, no. 2, pp. 2594-2610, 2026. (CCF A类期刊)
[5] Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia, ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking, in Proc. AAAI, 2025. (CCF A会议，Oral presentation, Top 4.6%)
[6] Dongyu Chen,Tao Deng, Juncheng Jia, Siwei Feng, Di Yuan, Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks, Computer Networks (ComNet)，2025（CCF B期刊）
[7] Zihao Jiang, Tao Deng, Rong Li, Dongyu Chen,"FECG-KD: Fisher Enhanced and Clustering Guided Knowledge Distillation for Low-Bit Post-training Quantization," International Conference on Intelligent Computing, 2025. (CCF C会议)
第一作者发表的论文：
[1] Tao Deng, Dongyu Chen, Juncheng Jia, Mianxiong Dong, Kaoru Ota, Zhanwei Yu, and Di Yuan, “Optimizing resource allocation and request routing for AI-generated content (AIGC) services in mobile edge networks with cell coupling,” IEEE Transactions on Vehicular Technology (TVT), vol. 73, no. 11, pp. 17911-17916, 2024.
[2] Tao Deng, Zhanwei Yu, and Di Yuan, “Task offloading optimization in mobile edge computing under uncertain processing cycles and intermittent communications,” Computer Networks (ComNet), 245: 110359, 2024.
[3] Tao Deng, Zhanwei Yu, and Di Yuan, “Scheduling for multi-cell caching: Hit maximization subject to age of information,” IEEE Transactions on Vehicular Technology (TVT), Vol. 72, no. 9, pp. 12441-12446, 2023.
[4] Tao Deng, Lei You, Zhanwei Yu, and Di Yuan, “Optimal task allocation for battery-assisted and price-aware mobile edge computing,” IEEE Networking Letters, vol. 5, no. 4, pp. 199-203, 2023.
[5] Tao Deng, Pingzhi Fan, and Di Yuan, “Modeling and optimization of mobility-aware dynamic caching with time-varying content popularity,” IEEE Transactions on Vehicular Technology (TVT), vol. 69, no. 1, pp. 1157-1162, Jan. 2020.
[6] Tao Deng, Pingzhi Fan, and Di Yuan, “Optimizing retention-aware caching in vehicular networks,” IEEE Transactions on Communications (TComm), vol. 67, no. 9, pp. 6139-6152, Sep. 2019.
[7] Tao Deng, Ghafour Ahani, Pingzhi Fan, and Di Yuan, “Cost-optimal caching for D2D networks with user mobility: Modeling, analysis, and computational approaches,” IEEE Transactions on Wireless Communication (TWC), vol. 17, no. 5, pp. 3082-3094, May 2018.
[8] Tao Deng, Xian Wang, Pingzhi Fan, and Keqin Li, “Modeling and performance analysis of a tracking area list-based location management scheme in LTE networks,” IEEE Transactions on Vehicular Technology (TVT), vol. 65, no. 8, pp. 6417-6314, Aug. 2016.
[9] Tao Deng, Lei You, Pingzhi Fan, and Di Yuan, “Device caching for network offloading: Delay minimization with presence of user mobility,” IEEE Wireless Communication Letters (WCL), no. 4, pp. 558-561, Aug. 2018.
[10] Tao Deng, Ghafour Ahani, Pingzhi Fan, and Di Yuan, “Cost-optimal caching for D2D networks with presence of user mobility,” in Proc. IEEE Globecom’17, pp. 1-6, Dec. 2017.
现有团队成员：23级研究生3名，24级研究生2名
23级研究生：
1. 李荣
1) 一作发表AAAI 2025论文一篇（CCF A），并且被选为oral presentation (Top 4.6%)
2) 一作IEEE Transactions on Mobile Computing论文一篇，正在审稿中
3) 申请发明专利一项
4）完成多项实际软硬件系统与样机，包括终端小模型部署，基于大模型本地部署的语音对话机器
2. 陈东宇
1）一作发表IEEE Transactions on Mobile Computing论文一篇 （CCF A期刊）
2）一作发表Computer Networks论文一篇 (CCF B期刊)
3）二作发表IEEE Transaction on Vehicular Technology论文一篇 （SCI 2区）
3. 蒋子豪
1）两篇一作 IJCAI 2025论文正在审稿
24级研究：
1. 邓奕妙
1）参与大模型项目一项
2. 沈心怡
本团队招生名额充足，欢迎优秀青年学者加入本团队，我们一起共同努力做出好的研究成果，发表高质量论文，并做出有实用价值的软硬件系统与样机！