乔秀全
博士生导师
硕士生导师
教授
性别：男
联系方式：010-61198025，qiaoxq@bupt.edu.cn
学位：博士学位
学科：计算机科学与技术*
在职信息：在职
所在单位：计算机学院（国家示范性软件学院）
学历：研究生毕业
毕业院校：北京邮电大学
主要任职：网络与交换技术全国重点实验室 教授
其他任职：教育部国家级人才计划称号
所属院系：计算机学院
职务：计算机学院（国家示范性软件学院）教授
办公地点：北京邮电大学新科研楼 601-8房间
电子邮箱：
曾获荣誉：
2023当选：北京市科学技术科技进步一等奖（排名6/15）
2022当选：中国电子学会技术发明一等奖（排名第一）
2018当选：获中国通信学会科学技术发明类一等奖
2018当选：获工信部指导、中国信通院和IMT2020-5G推进组组织的“绽放杯”5G应用创新大赛二等奖
2015当选：荣获第十三届北京青年优秀科技论文评选一等奖
2008当选：入选北京市科技新星计划
其他联系方式
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通讯/办公地址：
办公室电话：
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论文成果
- (21) 乔秀全，黄亚坤. 面向6G的去中心化的人工智能理论与技术. 移动通信, vol.44, no. 6, pp. 121-125，2020年6月. (特邀)
- (20) Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu and Junliang Chen. DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning, in Proceedings of the 2020 IEEE International Conference on Computer Communications (INFOCOM 2020), (Acceptance Rate: 19.8%), 6-9 July 2020, pp. 834-843, Toronto, Canada.
- (19) Xiuquan Qiao, Yakun Huang, Schahram Dustdar, Junliang Chen. 6G Vision: An AI-Driven Decentralized Network and Service Architecture. IEEE Internet Computing, 2020，vol. 24, no. 4, July/August 2020, pp. 33-40.
- (18) 乔秀全，“物媒时代”如何构建智慧社会，《国家治理》，2020年第29期，2020年8月. (特邀)
- (17) Yakun Huang, Xiuquan Qiao, Pei Ren, Schahram Dustdar, Junliang Chen. EdgeBooster: Edge-Assisted Real-time Image Segmentation for the Mobile Web in WoT, IEEE Internet of Things Journal, vol. 8, no. 9, May 2021, pp.7288 -7302. (DOI:10.1109/JIOT.2020.3038689).
- (16) Yakun Huang, Xiuquan Qiao, Pei Ren, Ling Liu, Calton Pu, Schahram Dustdar and Junliang Chen. A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud [J]. IEEE Transactions on Mobile Computing（TMC）. 2022, vol.21, no.7, pp: 2289-2305, DOI:10.1109/TMC.2020.3043051
- (15) Yakun Huang, Hongru Zhao, Xiuquan Qiao, Jian Tang, and Ling Liu. Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs[C]. 2021 IEEE International Conference on Computer Communications (INFOCOM 2021), (Acceptance Rate: 19.9%)，10-13 May 2021，Vancouver, BC, Canada. （DOI: 10.1109/INFOCOM42981.2021.9488846）(CCF A类会议)
- (14) Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar and Junliang Chen. Edge AR X5: An Edge-Assisted Multi-User Collaborative Framework for Mobile Web Augmented Reality in 5G and Beyond. IEEE Transactions on Cloud Computing (TCC), 2020.12 (DOI:10.1109/TCC.2020.3046128).
- (13) Yakun Huang, Xiuquan Qiao, Schahram Dustdar, Jianwei Zhang and Jiulin Li. Toward Decentralized and Collaborative Deep Learning Inference for Intelligent IoT Devices, IEEE Network, January, 2022. (DOI: 10.1109/MNET.011.2000639)
- (12) Yakun Huang, Xiuquan Qiao, Zhijie Tan, Jianwei Zhang, Jiulin Li. WebPoseEstimator: A Fundamental and Flexible Pose Estimation Framework for Mobile Web AR. IEEE Virtual Reality (VR) 2021, (Poster Paper, CCF A类会议), March 27-April 3, 2021, Lisbon, Portugal.
- (11) Yakun Huang, Yuanwei Zhu, Xiuquan Qiao, Zhijie Tan, Boyuan Bai. AITransfer: Progressive AI-powered Transmission for Real-Time Point Cloud Video Streaming. ACM International Conference on Multimedia (ACM MM), 20-24 October, 2021, Chendu, China. (CCF A类会议)
- (10) Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar. Fine-grained Elastic Partitioning for Distributed DNN towards Mobile Web AR Services in the 5G Era. IEEE Transactions on Services Computing (TSC), 2021.07. (DOI: 10.1109/TSC.2021.3098816)
- (9) Yakun Huang, Xiuquan Qiao, Wenhai Lai, Schahram Dustdar, Jianwei Zhang, Jiulin Li. Enabling DNN Acceleration with Data and Model Parallelization over Ubiquitous End Devices. IEEE Internet of Things Journal, September, 2021. (DOI: 10.1109/JIOT.2021.3112715)
- (8) Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu and Junliang Chen. An Integrated Cloud-Edge-Device Adaptive Deep Learning Service for Cross-Platform Web [J]. IEEE Transactions on Mobile Computing（TMC）. October 2021. (DOI: 10.1109/TMC.2021.3122279)
- (7) Liang Li, Xiuquan Qiao, Huabing Zhang, Yakun Huang, Pei Ren. A Collaborative Task Offloading Framework for Smart TV Applications in a Household Computing Environment [J]. IEEE Internet of Things Journal, December, 2021. (DOI:10.1109/JIOT.2021.3135436).
