Dapeng Wu
个人简介
暂无内容
教育背景
2003.12
Carnegie Mellon University Ph.D. Electrical & Computer Engineering
1997.12
Beijing University of Posts & Telecommunications Electrical Engineering
1990.12
Huazhong University of Science and Technology Electrical Engineering
工作经历
暂无内容
荣誉奖项
- Top 2% Most Highly Cited Scientists(2019)|Stanford University
- Top 2% Most Highly Cited Scientists(2020)|Stanford University
- Top 2% Most Highly Cited Scientists(2021)|Stanford University
- Top 2% Most Highly Cited Scientists(2022)|Stanford University
- Top 2% Most Highly Cited Scientists(2023)|Stanford University
- Top 2% Most Highly Cited Scientists(2024)|Stanford University
- Highly Ranked Scholars in the top 0.05% of all scholars worldwide in all fields(2022)|ScholarGPS
- Highly Ranked Scholars in the top 0.05% of all scholars worldwide in all fields(2023)|ScholarGPS
- Highly Ranked Scholars in the top 0.05% of all scholars worldwide in all fields(2024)|ScholarGPS
- Gold Medal with Jury Congratulations(2026)|51st International Exhibition of Inventions Geneva
- AI Industry Scientist(2023)|International Artificial Intelligence Industry Alliance
- Fellow(2021)
- IEEE Distinguished Speaker(2021)|IEEE Vehicular Technology Society
- University of Florida Term Professorship Award(2019 - 2022)|University of Florida
- IEEE Distinguished Lecturer(2018)|IEEE Vehicular Technology Society
- University of Florida Term Professorship Award(2017 - 2019)|University of Florida
- IEEE Distinguished Lecturer(2016)|IEEE Vehicular Technology Society
- IEEE Fellow(2013)|IEEE
- Best Paper Award(2011)|IEEE GLOBECOM
- Best Associate Editor Award(2010)|IEEE Circuits and Systems Society
- University of Florida Research Foundation Professorship Award(2009 - 2011)|University of Florida
- Outstanding Associate Editor(2009)|IEEE Circuits and Systems Society
- AFOSR Young Investigator Program (YIP) Award(2009)|AFOSR
- ONR Young Investigator Program (YIP) Award(2008)|ONR
- National Research Council/AFOSR Summer Faculty Fellowship Award(2008)|National Research Council/AFOSR
- NSF Faculty Early Career Development (CAREER) Award(2007)|NSF
- National Research Council/AFOSR Summer Faculty Fellowship Award(2007)|National Research Council/AFOSR
- Best Paper Award(2006)|International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QShine)
- IEEE CSVT Transactions Best Paper Award for Year 2001(2001)|IEEE
- Certificate of Appreciation(2000)|IEEE International Symposium on Personal, Indoor and Mobile Radio Communication (PIMRC)
SAFL:基于层聚合的SWIPT辅助联邦深度强化学习在5G及未来网络中的应用
基于波束成形的ISAC系统多无人机网络可实现速率最大化
基于VLM辅助的HAP姿态预测用于波束补偿
可移动信号多址接入(MSMA)用于挤压天线辅助ISAC
移动信号与移动天线用于多用户隐蔽通信
可重构孔径和可移动信号在无线通信中的应用:原理与挑战
HALO:揭示加密流量分类中后门防御的不足
通过可移动信号和捏合天线的软分区环境分割多址接入
KEPLA:一种用于准确预测蛋白质-配体结合亲和力的知识增强深度学习框架
基于捏合天线和移动信号启用的无线通信中断分析
可移动信号与挤压式天线用于集成传感和通信
基于序贯多智能体深度强化学习的视场与延迟感知空地车辆众包感知
细粒度运动压缩与选择性时域融合的神经B帧视频编码
LLM-Inpainter:基于细粒度掩码感知强化的大语言模型适应特征预测,用于高保真人脸图像修复
AquaFed:异构设备上的升维量化联邦学习
CuIoT: 基于图模式知识中心提升网络连接性以实现鲁棒拓扑
勘误:关于“将驾驶风格融入时空Transformer进行车辆轨迹预测” [Eng. Appl. Artif. Intel. 171 (2026) 11–11/ EAAI 114133]

