戚琦 - 北京邮电大学 - 网络技术研究院

个人简介

戚琦老师类型博/硕导所属中心网络智能研究中心职称副教授承担课程前沿论文导读与赏析；论文写作基础与技巧；软件定义网络个人介绍戚琦，博士，网络与交换国家重点实验室，副教授，硕士生导师，博士生导师。2010年毕业于北京邮电大学计算机科学与技术专业，留校任教。长期从事业务网络智能化和移动云计算方向的科研工作，近年来重点关注深度强化学习、分布式机器学习、联邦学习、轻量化神经网络等方面的前沿研究，取得了知识定义网络、边缘智能、手部姿态估计、草图检索等一系列研究成果。发表高水平学术论文70余篇，SCI索引期刊论文40余篇，代表性论文发表于网络通信领域著名期刊IEEE Transactions on Multimedia、IEEE Transactions on Vehicular Technology、IEEE Transaction on Wireless Communication、IEEE Systems Journal、IEEE Communications Magazine、人工智能领域顶级会议CVPR 2019、AAAI 2020、ECAI 2020、EMNLP2019、ICASSP 2020等。申请国家发明专利10余项，其中国际专利2项，合作出版专著1部。先后主持2项国家自然科学基金目，1项北京市自然科学基金，3项基地自主科研项目，以及多项企事业单位合作项目，作为主研人承担重点研发计划、创新团队、创新群体、973等多个国家及省部级重大项目。指导硕士生发表CCF A类论文2篇、B类论文2篇；担任叶培大学院实验班导师，指导本科生发表CCF C类会议论文。2017-2019指导学生获得4次北京邮电大学研创展一等奖，指导学生参加中国互联网+大学生创新创业大赛获得北京赛区二等奖；指导学生参加CVPR 2019细粒度物品分类大赛，获得全球第三名。承担课题 1. 北京市自然科学基金面上项目，4182041，基于人工智能的软件定义网络资源优化研究，2019/01-2021/12 2. 国家自然科学基金面上项目，61471063，多用户协作移动业务云的构建与资源优化技术研究，2015/01-2018/12 3. 国家自然科学基金青年项目，61101119，支持业务云的IP多媒体子系统会话控制关键技术研究，2012/01-2014/12 4. 国家重点实验室基地自主科研项目，面向6G网络的大学习前沿理论研究，NST20180301， 2018/01-2020/12 5. 国家自然科学基金面上项目，61771068，基于人工智能的软件定义网络流量识别与资源分配研究，2018/01-2021/12 6. 教育部-中国移动科研基金，MCM20180101，面向5G的工业互联网关键技术研究，2019/10-2021/10 7. 重点研发计划课题，2018YFB1800502，2019/07-2022/06，跨域智能编排平面 8. 国家自然科学基金面上项目，61372120，环境友好的叠加网络理论与协作技术研究，2014/01-2017/12 9. 国家自然科学基金创新研究群体科学基金，61121001，无线通信网理论与技术，20 12/01/01-2014/12/31 10. 国家自然科学基金青年项目，60902051，基于多宿主特性的新型网络多路径传输机制的研究，2010/01-2012/12 获奖和成果 “移动通信服务精细化运营中大数据关键技术及应用”获2014年中国通信学会科技进步一等奖

研究领域

网络智能；边缘智能；分布式机器学习；深度强化学习；轻量化神经网络

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1]Qi Qi, Jingyu Wang, Zhanyu Ma, Haifeng Sun, Yufei Cao, Lingxin Zhang, Jianxin Liao: Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach. IEEE Trans. Vehicular Technology 68(5): 4192-4203 (2019) [2]Qi Qi, Qiming Huo, Jingyu Wang, Haifeng Sun, Yufei Cao, Jianxin Liao: Personalized Sketch-Based Image Retrieval by Convolutional Neural Network and Deep Transfer Learning. IEEE Access 7: 16537-16549 (2019) [3]Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun: OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks. CVPR 2019: 7046-7055 [4]Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun, AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation, AAAI 2020（A类） [5]Xiaolu Wang, Haifeng Sun, Jingyu Wang, Qi Qi, SETNet: A Novel Semi-Supervised Approach for Semantic Parsing, ECAI 2020 [6]Tongtong Feng, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao, Vabis: Video Adaptation Bitrate System for Time-critical Live Streaming, IEEE Transactions on Multimedia, online [7]Zirui Zhuang, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao, Toward Greater Intelligence in Route Planning: A Graph-Aware Deep Learning Approach, IEEE Systems Journal, online [8]Bing Ma, Qi Qi, Jianxin Liao, Haifeng Sun, Jingyu Wang: Learning chinese word embeddings from character structural information. Comput. Speech Lang. 60 (2020) [9]Xiaoyuan Fu, F. Richard Yu, Jingyu Wang, Qi Qi, Jianxin Liao: Dynamic Service Function Chain Embedding for NFV-Enabled IoT: A Deep Reinforcement Learning Approach. IEEE Trans. Wireless Communications 19(1): 507-519 (2020) [10] 张平, 牛凯, 田辉, 聂高峰, 秦晓琦, 戚琦, 张娇. 6G移动通信技术展望, 通信学报, 2019, 40(1):141-148 [11] Xiaoyuan Fu, F. Richard Yu, Jingyu Wang, Qi Qi, Jianxin Liao: Service Function Chain Embedding for NFV-Enabled IoT Based on Deep Reinforcement Learning. IEEE Communications Magazine 57(11): 102-108 (2019) [12] Jingyu Wang, Zirui Zhuang, Qi Qi, Tonghong Li, Jianxin Liao: Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networks. Appl. Soft Comput. 82 (2019) [13] Jingyu Wang, Yuhan Jing, Qi Qi, Tongtong Feng, Jianxin Liao: ALSR: An adaptive label screening and relearning approach for interval-oriented anomaly detection. Expert Syst. Appl. 136: 94-104 (2019) [14] Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma: Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification. EMNLP/IJCNLP (1) 2019: 456-465 [15] Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu: Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification. EMNLP/IJCNLP (1) 2019: 5488-5497 [16] Yuhan Jing, Qi Qi, Jingyu Wang, Tongtong Feng, Jianxin Liao: ALSR: An Adaptive Label Screening and Relearning Approach for Anomaly Detection. ISCC 2019: 1-6 [17] Jingyu Wang, Qi Qi, Sude Qing, Jianxin Liao: Elastic Vehicular Resource Providing Based on Service Function-Group Resource Mapping of Smart Identify Network. IEEE Systems Journal 12(2): 1897-1908 (2018) [18] Jingyu Wang, Qi Qi, Jun Gong, Jianxin Liao: Mitigating the Oscillations Between Service Routing and SDN Traffic Engineering. IEEE Systems Journal 12(4): 3426-3437 (2018) [19] Xiaoyuan Fu, Jingyu Wang, Qi Qi, Jianxin Liao, Tonghong Li: Incentive Mechanisms for Resource Scaling-out Game of Stream Big Data Analytics. J. Grid Comput. 16(4): 569-585 (2018) [20] Haifeng Sun, Jianxin Liao, Jingyu Wang, Qi Qi: MTDE: Multi-typed data embedding in heterogeneous networks. Neurocomputing 278: 119-125 (2018) [21] Qi Qi, Jingyu Wang, Yufei Cao, Jing Wang, Haifeng Sun, Jianxin Liao: Cluster-PSO Based Resource Orchestration for Multi-task Applications in Vehicular Cloud. Wireless Personal Communications 102(3): 2133-2155 (2018) [22] Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao: Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation. BMVC 2018: 136 [23] Jie Xu, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao: Accelerating Training for Distributed Deep Neural Networks in MapReduce. ICWS 2018: 181-195 [24] Yunming Xiao, Haifeng Sun, Zirui Zhuang, Jingyu Wang, Qi Qi: Common Knowledge Based Transfer Learning for Traffic Classification. LCN 2018: 311-314 [25] Qi Qi, Jianxin Liao, Jingyu Wang, Qi Li, Yufei Cao: Software Defined Resource Orchestration System for Multitask Application in Heterogeneous Mobile Cloud Computing. Mobile Information Systems 2016: 2784548:1-2784548:17 (2016) [26] Jianxin Liao, Qi Qi, Jing Wang, Jingyu Wang, Yufei Cao: A dual mode self-adaption handoff for multimedia services in mobile cloud computing environment. Multimedia Tools Appl. 75(8): 4697-4722 (2016) [27] Qi Qi, Jingyu Wang, Qi Li, Tonghong Li, Yufei Cao: Resource orchestration for multi-task application in home-to-home cloud. IEEE Trans. Consumer Electronics 62(2): 191-199 (2016) [28] Qi Qi, Jianxin Liao, Jingyu Wang, Jing Wang, Qi Li, Yufei Cao: Integrated Multi-service Handoff Mechanism with QoS-Support Strategy in Mobile Cloud Computing. Wireless Personal Communications 87(2): 593-614 (2016) [29] Qi Qi, Jianxin Liao, Jingyu Wang, Qi Li, Yufei Cao: Dynamic resource orchestration for multi-task application in heterogeneous mobile cloud computing. INFOCOM Workshops 2016: 221-226 [30] Qi Qi, Jianxin Liao, Yufei Cao, Jingyu Wang: A Self-Adaption Handoff Mechanism for Multimedia Services in Mobile Cloud Computing. VTC Fall 2014: 1-5 [31] Jianxin Liao, Qi Qi, Tonghong Li, Yufei Cao, Xiaomin Zhu, Jingyu Wang: [32] An optimized QoS scheme for IMS-NEMO in heterogeneous networks. Int. J. Communication Systems 25(2): 185-204 (2012) [33] Sude Qing, Qi Qi, Jingyu Wang, Tong Xu, Jianxin Liao: Topology-aware virtual network embedding through bayesian network analysis. GLOBECOM 2012: 2621-2627 [34] Jianxin Liao, Qi Qi, Xiaomin Zhu, Yufei Cao, Tonghong Li: Enhanced IMS Handoff Mechanism for QoS Support over Heterogeneous Network. Comput. J. 53(10): 1719-1737 (2010) [35] Qi Qi, Yufei Cao, Tonghong Li, Xiaomin Zhu, Jingyu Wang: Soft handover mechanism based on RTP parallel transmission for mobile IPTV services. IEEE Trans. Consumer Electronics 56(4): 2276-2281 (2010) [36] Jianxin Liao, Qi Qi, Tonghong Li, Yufei Cao, Xiaomin Zhu: A demand-driven parsing method for SIP offload in home network. IEEE Trans. Consumer Electronics 55(3): 1308-1314 (2009) [37] Qi, Jianxin Liao, Xiaomin Zhu, Yufei Cao:DSCIM: A Novel Service Invocation Mechanism in IMS. GLOBECOM 2008: 1577-1581

学术兼职

国家自然科学基金委项目评议专家；网络及通信领域多个著名期刊如IEEE TNNLS、IEEE TVT、IEEE ToM等审稿专家。