戚琦 副教授 博/硕导
姓名
戚琦


性别
女

职务
无

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。

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

研究方向
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

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，**，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，**，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，**，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，NST**， 2018/01-2020/12
5.国家自然科学基金面上项目，**，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，MCM**，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，2018YFB**，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，**，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，**，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，**，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

发表论文

[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: **:1-**: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

联系电话
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Email:
qiqi8266@bupt.edu.cn


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