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文鼎柱
助理教授、研究员、博导
博士毕业院校： 香港大学
电话： 021-20680822
办公室： 信息学院2号楼302.B
个人主页： https://dingzhuwen.github.io/
专业方向： 通信与信息系统
单位：
所属课题组：
研究方向： 无线通信与网络，边缘人工智能，通信-感知-计算融合
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主要岗位职责（A角）
兼任岗位职责（B角）
兼任岗位职业（C角）

文鼎柱博士课题组常年招收博士后、博士生、硕士生、访问学者、访问学者，欢迎加入！

研究方向

  • 边缘人工智能（Edge Artificial Intelligence）

  • 通信-感知-计算融合（Integrated Sensing-Communication-Computation）

  • 任务导向通信（Task-Oriented Communications）

学术影响力

文博士已在通信领域国际顶级期刊和会议发表学术论文50余篇，获授权中国专利5项，美国专利1项，其研究影响力如下：

  • 以第一作者或者通讯作者身份发表SCI期刊19篇，包括IEEE Transactions on Wireless Communications（TWC）10篇、IEEE Transactions on Communications（TCOM）2篇、IEEE Internet of Things Journal（IoTJ）1篇、IEEE Transactions on Mobile Computing（TMC）1篇、IEEE Transactions on Vehicular Technology（TVT）1篇、IEEE Transactions on Green Communications（TGCN）1篇，IEEE Wireless Communications Letters（WCL）1篇、IEEE Communications Letters（WCL）1篇。

  • 学术活动

    • 课题组文章“Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI”被选为ESI高被引论文（本领域内引用量前1%）

    • 作为共同主席将在IEEE ICC 2025上组织主题为“Task-Oriented and Generative Communications”的Workshop

    • 作为共同主席将在IEEE WCNC 2025上组织主题为“Task-Oriented and Generative Communications”的Workshop

    • 作为主席在IEEE ICC 2024上组织主题为“Task-Oriented and Generative Communications”的Workshop

    • 作为共同主席在IEEE PIMRC 2024上组织主题为“Task-Oriented and Pragmatic Communications for 6G”的Workshop

    • 作为共同主席在IEEE VTC 2023-Fall上组织了主题为“Task-Oriented Communication and Networking for 6G”的Workshop

    • 作为共同主席在IEEE PIMRC 2023上组织了主题为“Edge Learning for 5G Mobile Networks and Beyond”的Workshop

    • 作为组织者之一于IEEE GlobeCom 2022做主题为“Edge Artificial Intelligence for 6G: Scalability, Trustworthiness, and Applications”的演讲（Tutorial）

    • 担任IEEE ICC/VTC/WCSP等多个国际会议的分会场主席

奖项与荣誉

  • 上海市海外高层次人才计划（青年）

  • 上海市浦东新区明珠菁英人才

  • 2023年度上海科技大学优秀书院导师

  • 2022年度IEEE Transactions on Communications期刊模范审稿人（为该期刊所有审稿人的前5%）

  • 2023年度IEEE GlobeCom Workshop on Edge Learning over 5G Mobile Networks and Beyond的最佳论文奖（为该Workshop发表的12篇文章中唯一的获奖文章）

教育经历

  • 2010-2014 浙江大学信息与电子工程学系 学士

  • 2014-2017 浙江大学信息与电子工程学院 硕士

  • 2017-2021 香港大学电机与电子工程学系 博士

  • 姓名：郭明昭
    身份：硕士研究生
    年级：2022级
    邮箱：guomzh2022@shanghaitech.edu.cn
    研究方向：无线联邦学习
  • 姓名：刘澍
    身份：硕士研究生
    年级：2022级
    邮箱：liushu2022@shanghaitech.edu.cn
    研究方向：边缘人工智能
  • 姓名：谢思静
    身份：硕士研究生
    年级：2023级
    邮箱：
    研究方向：无线联邦学习
  • 姓名：尹衍博
    身份：硕士研究生
    年级：2023级
    邮箱：
    研究方向：
  • 姓名：胡乔升
    身份：硕士研究生
    年级：2023级
    邮箱：
    研究方向：
  • 姓名：张硕
    身份：硕士研究生
    年级：2024级
    邮箱：zhangshuo2024@shanghaitech.edu.cn
    研究方向：
  • 姓名：龙文杰
    身份：硕士研究生
    年级：2024级
    邮箱：longwj2024@shanghaitech.edh.cn
    研究方向：

  • 分布式优化与智能（本研一体课程）

  • 概率论与数理统计（本科生课程）


  • 1. Li Zeng;Dingzhu Wen;Guangxu Zhu;Changsheng You;Qimei Chen;Yuanming Shi;#, Federated Learning With Energy Harvesting Devices, IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, Mar 2024, 8(1):190 - 204
  • 2. Yuanming Shi;Yong Zhou;Dingzhu Wen;Youlong Wu;Chunxiao Jiang;Khaled B. Letaief;#, Task-Oriented Communications for 6G: Vision, Principles, and Technologies, IEEE WIRELESS COMMUNICATIONS, 01 Jun 2023, 30(3):78-85
  • 3. Shengli Liu;Guanding Yu;Dingzhu Wen;Xianfu Chen;Mehdi Bennis;Hongyang Chen;#, Communication and Energy Efficient Decentralized Learning over D2D Networks, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, Dec 2023, 22(12):9549 - 9563
  • 4. Dingzhu Wen;Xiang Jiao;Peixi Liu;Guangxu Zhu;Yuanming Shi;Kaibin Huang;#, Task-Oriented Over-the-Air Computation for Multi-Device Edge AI, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, Mar 2024, 23(3):2039 - 2053
  • 5. 杨瀚哲;游家伟;文鼎柱;石远明;#, 基于脉冲神经网络的无线空中联邦学习, 移动通信, 28 Sep 2022, 46(9):14-19
  • 6. Li Zeng;Dingzhu Wen;Guangxu Zhu;Changsheng You;Qimei Chen;Yuanming Shi;#, Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices, CONFERENCE RECORD - ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 2022, 2022-October:1164-1168
  • 7. Dingzhu Wen;Peixi Liu;Guangxu Zhu;Yuanming Shi;Jie Xu;Yonina C. Eldar;Shuguang Cui;#, Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, Mar 2024, 23(3):2486 - 2502
  • 8. Zeming Zhuang;Dingzhu Wen;Yuanming Shi;Guangxu Zhu;Sheng Wu;Dusit Niyato;#, Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, PP(99):1-1
  • 9. Yiji Wang;Cheng Zou;Dingzhu Wen;Yuanming Shi;#, Federated Learning over LEO Satellite, 2022 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 04 Dec 2022,
  • 10. Dingzhu Wen;Xiang Jiao;Peixi Liu;Guangxu Zhu;Yuanming Shi;Kaibin Huang;#, Task-Oriented Over-the-Air Computation for Multi-Device Edge Split Inference, IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023, 2023-March
  • 11. Dingzhu Wen;Ki-Jun Jeon;Kaibin Huang;#, Federated Dropout A Simple Approach for Enabling Federated Learning on Resource Constrained Devices, IEEE WIRELESS COMMUNICATIONS LETTERS, 01 May 2022, 11(5)
  • 12. Peng Yang;Yuning Jiang;Dingzhu Wen;Ting Wang;Colin N. Jones;Yuanming Shi;#, Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, PP(99):1-1
  • 13. Zeming Zhuang;Dingzhu Wen;Yuanming Shi;#, Decentralized Over-the-Air Computation for Edge AI Inference with Integrated Sensing and Communication, GLOBECOM 2023 - 2023 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Dec 2023, 4644-4649
  • 14. Yiji, Wang;Jingyang, Zhu;Yijie, Mao;Dingzhu, Wen;Xiaohua, Tian;Yuanming, Shi;#, Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks, 2023 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 08 Dec 2023, 190-196
  • 15. Yiji, WANG;Dingzhu, Wen;Yijie, Mao;Yuanming, Shi;#, RIS-Assisted Federated Learning in Multi-Cell Wireless Networks, ZTE COMMUNICATIONS, Mar 2023, 23(1)
  • 16. Wen, Dingzhu;Liu, Peixi;Zhu, Guangxu;Shi, Yuanming;Xu, Jie;Eldar, Yonina C.;Cui, Shuguang;#, Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI, IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, 2023-May:3608-3613
  • 17. Yang, Peng;Wen, Dingzhu;Zeng, Qunsong;Wang, Ting;Shi, Yuanming;#, Communication-Efficient Vertically Split Inference via Over-the-Air Computation, 2023 IEEE 24TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 25 Sep 2023, 1-5
  • 18. Ye, Xinrui;Sun, Yanzan;Wen, Dingzhu;Pan, Guanjin;Zhang, Shunqing;#, End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference, IEEE VEHICULAR TECHNOLOGY CONFERENCE, 2023,
  • 19. Chen, Qimei;You, Zehua;Wen, Dingzhu;Zhang, Zhaoyang;#, Enhanced Hybrid Hierarchical Federated Edge Learning over Heterogeneous Networks, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 01 Nov 2023, 72(11):14601-14614
  • 20. Chonghe Liu;Shengli Liu;Dingzhu Wen;Guanding Yu;#, Adaptive Cluster Head Selection and Spectrum Allocation for D2D-Enabled Collaborative Learning, 2023 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 08 Dec 2023,
  • 21. Sisi Lin;Mengyuan Lee;Qimei Chen;Dingzhu Wen;Wen Du;Zhidong He;#, OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks, 2023 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 04 Nov 2023, 152-157
  • 22. Diao Wang;Dingzhu Wen;Yinghui He;Guanding Yu;#, Device Scheduling for Privacy-Aware Integrated Sensing, Computation, and Communication Systems, 2023 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 08 Dec 2023, 957-962
  • 23. Pengfei Zhang;Dingzhu Wen;Guangxu Zhu;Qimei Chen;Kaifeng Han;Yuanming Shi;#, Collaborative Edge AI Inference over Cloud-RAN, IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, PP(99):1-1
  • 24. Yifan Chen;Shengli Liu;Dingzhu Wen;#, Communication Efficient Decentralized Learning over D2D Network: Adaptive Relay Selection and Resource Allocation, IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, PP(99)
  • 25. Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang#, Federated Dropout--A Simple Approach for Enabling Federated Learning on Resource Constrained Devices, IEEE Wireless Communications Letters, 2022/2/8, vol. 11, no. 5, pp. 923-927
  • 26. Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis, Kaibin Huang#, Adaptive subcarrier, parameter, and power allocation for partitioned edge learning over broadband channels, IEEE Transactions on Wireless Communications, 2021/7/1, vol. 20, no. 12, pp. 8348-8361
  • 27. Dingzhu Wen, Mehdi Bennis, Kaibin Huang#, Joint parameter-and-bandwidth allocation for improving the efficiency of partitioned edge learning, IEEE Transactions on Wireless Communications, 2020/9/10, vol. 19, no. 12, pp. 8272-8286
  • 28. Dingzhu Wen, Guangxu Zhu, Kaibin Huang#, Reduced-dimension design of MIMO over-the-air computing for data aggregation in clustered IoT networks, IEEE Transactions on Wireless Communications, 2019/8/20, vol. 18, no. 11, pp. 5255-5268
  • 29. Dingzhu Wen, Guanding Yu, Rongpeng Li, Yan Chen, Geoffrey Ye Li#, Results on energy-and spectral-efficiency tradeoff in cellular networks with full-duplex enabled base stations, IEEE Transactions on Wireless Communications, 2017/1/4, vol. 16, no. 3, pp. 1494-1507
  • 30. Dingzhu Wen, Xiaoyang Li, Qunsong Zeng, Jinke Ren, Kaibin Huang#, An overview of data-importance aware radio resource management for edge machine learning, Journal of Communications and Information Networks, 2019/12, vol. 4, no. 4, pp. 1-14
  • 31. Dingzhu Wen, Guanding Yu#, Time-division cellular networks with full-duplex base stations, IEEE Communications Letters, 2016/2, vol. 20, no. 2, pp. 392-395
  • 32. Dingzhu Wen, Guanding Yu#, Full‐duplex and half‐duplex: power efficiency comparison, Electronics Letters, 2016/3, Volume52, Issue6, Pages 483-485