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戚琦

(教授)

 博士生导师  硕士生导师
学位:博士学位
性别:女
毕业院校:北京邮电大学
学历:研究生毕业
在职信息:在职
所在单位:计算机学院(国家示范性软件学院)
电子邮箱:

个人简介

个人介绍

戚琦,博士,网络与交换国家重点实验室,副教授,博士生导师,硕士生导师,国家重点研发计划课题负责人。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、智能运维、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80余篇,SCI索引期刊论文50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 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推荐会议论文。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.       国家重点研发项目课题,按需服务的智联网管控原型系统研制,2020/12-2023/11(主持)

2.       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,2018/01-2020/12(主持)

3.       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(主持)

4.       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(主持)

5.       国家重点实验室基地自主科研项目,基于人工智能的人机物融合网络故障定位理论与技术,NST202001092020/07-2022/12(主持)

6.       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,NST201803012018/01-2020/12(主持)

7.       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(参与)

8.       教育部-中国移动科研基金,面向5G的工业互联网关键技术研究,2019/10-2021/10

9.       重点研发计划课题,跨域智能编排平面,2019/07-2022/06

10.    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

11.    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

12.    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


学术论文

[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 Transactions on Vehicular Technology 68(5): 4192-4203 (2019)

[2]    Qi Qi, Runye Shen, Jingyu Wang, Haifeng Sun, Song Guo and Jianxin Liao, Spatial-Temporal Learning Based Artificial Intelligence for IT Operations in Edge Network, IEEE Network, January/February 2020, pp. 197-203

[3]     Qi Qi, Xiaolu Wang, Haifeng Sun, Jingyu Wang, A Novel Multi-Task Learning Framework for Semi-Supervised Semantic Parsing, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020, 28, pp. 2552-2560

[4]    Qi Qi, Lingxin Zhang, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jianxin Liao, and F. Richard Yu, Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning, IEEE Transactions on Vehicular Technology, Nov. 2020, 69(11), pp. 13861-13874

[5]     Qi Qi, Yan Lu, Jiashi Li, Jingyu Wang, Haifeng Sun, Jianxin Liao, Learning Low Resource Consumption CNN through Pruning and Quantization, IEEE Transactions on Emerging Topics in Computing, 2021.1 online

[6]    戚琦,马迎新,王敬宇,孙海峰,廖建新,面向算力受限边缘环境的双分支多尺度感知人脸检测网络,通信学报2020

[7]    Xiang Yang, Qi Qi, Jingyu Wang, Haifeng Sun, Song Guo, Jianxin Liao, Towards Efficient Inference: Adaptively Cooperate in Heterogeneous IoT Edge Cluster, ICDCS 2021

[8]    Jiaqing Xu, Haifeng Sun, Qi Qi, Jingyu Wang, Ce Ge, Lejian Zhang, Jianxin Liao, DLA-Net for FG-SBIR: Dynamic Local Aligned Network for Fine-Grained Sketch-Based Image Retrieval, ACM MM 2021

[9]    Xiaozheng Zheng, Pengfei Ren, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Spatial-Aware Regression for 3D Hand Pose and Mesh Reconstruction from a Monocular RGB Image, ISMAR 2021

[10] Tianjian Dong, Qi Qi, Jingyu Wang, Alex. Liu, Haifeng Sun, Jianxin Liao, Generative Adversarial Network-based Transfer Reinforcement Learning for Routing with Prior Knowledge, IEEE Transactions on Network and Service Management, JUNE 2021, 18(2), pp. 1673-1689

[11] Zirui Zhuang, Jingyu Wang, Qi Qi, Jianxin Liao, Zhu Han, Adaptive and Robust Routing with Lyapunov-Based Deep RL in MEC Networks Enabled by Blockchains, IEEE Internet of Things Journal

[12] Jie Xu, Richard F. Yu, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao, Capsule Network Distributed Learning with Multi-Access Edge Computing for the Internet of Vehicles, IEEE Communications Magazine, 2021

[13]  Jie Xu, Jingyu Wang; Qi Qi; Jianxin Liao; Haifeng Sun; Zhu Han; Tonghong Li, Network-aware Task Selection to Reduce Multi-application Makespan in Cloud, JNCA, 2020

[14] Bo He, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao, Chunning Du, Xiang Yang, Zhu Han, DeepCC: Multi-agent Deep Reinforcement Learning Congestion Control for Multi-Path TCP Based on Self-Attention, IEEE Transactions on Network and Service Management, 2021

[15] Bo He, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao, Towards Intelligent Provisioning of Virtualized Network Functions in Cloud of Things: A Deep Reinforcement Learning based Approach, IEEE Transactions on Cloud Computing2020.4 online

[16]  Dezhi Chen, Zirui Zhuang, Qi Qi, Jingyu Wang, Jianxin Liao, Zhu Han, Mean Field Deep Reinforcement learning for Fair and Efficient UAV Control, IEEE Internet of Things Journal, JANUARY 15, 2021, 82, pp. 813-828

[17] Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Syntax-Type-Aware Graph Convolutional Networks for Natural Language UnderstandingApplied Soft Computing Journal, Volume 102, April 2021, 107080

[18] Pengfei Ren, Haifeng Sun, Jiachang Hao, Qi Qi, Jingyu Wang, Jianxin Liao, Pose Guided Hierarchical Graph Reasoning for 3D Hand Pose Estimation from a Single Depth Image, IEEE Transactions on Cybernetics, 2021

[19]  Pengfei Ren, Weiting Huang, Jiachang Hao, Daixuan Cheng, Qi Qi, Jingyu Wang, Jianxin Liao, Spatial-aware Stacked Regression Network for Real-time 3D Hand Pose Estimation, Neurocomputing, Volume 437, 21 May 2021, Pages 42-57

[20] Jie Xu, Jingyu Wang; Qi Qi; Jianxin Liao; Haifeng Sun; Zhu Han; Tonghong Li, Effective Scheduler for Distributed DNN Training based on MapReduce and GPU Cluster, Journal of Grid Computing, 22 February 202119, Article number: 8 (2021)

[21] Tongtong Feng, Few-Shot Class-Adaptive Anomaly Detection with Model-Agnostic Meta-Learning, IFIP Networking, 2021

[22] Haifeng Sun, Zhiyi Gui, Song Guo, Qi Qi, Jingyu Wang, Jianxin Liao, GSSP: Eliminating Stragglers through Grouping Synchronous for Distributed Deep Learning in Heterogeneous Cluster, IEEE Transactions on Cloud Computing, 2021 oneline

[23] Tianjian Dong, Qi Qi, Jingyu Wang, Alex. Liu, Haifeng Sun, Jiamxin Liao, Generative Adversarial Network-based Transfer Reinforcement Learning for Routing with Prior Knowledge, IEEE Transactions on Network and Service Management, 2021

[24] Pengfei Ren, Haifeng Sun, Jiachang Hao, Qi Qi, Jingyu Wang, Jianxin Liao, Pose Guided Hierarchical Graph Reasoning for 3D Hand Pose Estimation from a Single Depth Image, IEEE Transactions on Cybernetics, accept, 2021

[25] Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi, Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction, IEEE Transactions on Neural Networks and Learning Systems, online 2020

[26] Kai-Chu Tsai,  Zirui Zhuang, Ricardo Lent, Jingyu Wang, Qi Qi, Li-Chun Wang, Zhu Han, Tensor-Based Reinforcement Learning for Network RoutingIEEE Journal of Selected Topics in Signal Processing, 15(3), April 2021, pp. 617 - 629

[27] 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)

[28] 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

[29]  Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun, AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation, AAAI 2020

[30] Xiaolu Wang, Haifeng Sun, Jingyu Wang, Qi Qi, SETNet: A Novel Semi-Supervised Approach for Semantic Parsing, ECAI 2020

[31] Tongtong Feng, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao, Vabis: Video Adaptation Bitrate System for Time-critical Live Streaming, IEEE Transactions on Multimedia, 22(11), Nov. 2020, pp. 2963 - 2976

[32] 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, 14 (2), June 2020, pp. 1658 - 1669

[33] Bing Ma, Qi Qi, Jianxin Liao, Haifeng Sun, Jingyu Wang: Learning chinese word embeddings from character structural information. Comput. Speech Lang. 60 (2020)

[34]  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)

[35] 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

[36] 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)

[37] 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)

[38] 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)

[39] 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

[40] 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

[41] 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

[42] 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)

[43] 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)

[44] 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)

[45] Haifeng Sun, Jianxin Liao, Jingyu Wang, Qi Qi: MTDE: Multi-typed data embedding in heterogeneous networks. Neurocomputing 278: 119-125 (2018)

[46] 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)

[47] 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

[48] Jie Xu, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao: Accelerating Training for Distributed Deep Neural Networks in MapReduce. ICWS 2018: 181-195

[49] Yunming Xiao, Haifeng Sun, Zirui Zhuang, Jingyu Wang, Qi Qi: Common Knowledge Based Transfer Learning for Traffic Classification. LCN 2018: 311-314

[50] 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)

[51] 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)

[52]  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)

[53]  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)

[54]  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

[55] 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

[56] Jianxin Liao, Qi Qi, Tonghong Li, Yufei Cao, Xiaomin Zhu, Jingyu Wang:

[57] An optimized QoS scheme for IMS-NEMO in heterogeneous networks. Int. J. Communication Systems 25(2): 185-204 (2012)

[58] Sude Qing, Qi Qi, Jingyu Wang, Tong Xu, Jianxin Liao: Topology-aware virtual network embedding through bayesian network analysis. GLOBECOM 2012: 2621-2627

[59] 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)

[60] 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)

[61] 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)

[62] Qi Qi, Jianxin Liao, Xiaomin Zhu, Yufei Cao:DSCIM: A Novel Service Invocation Mechanism in IMS. GLOBECOM 2008: 1577-1581

 




教育经历

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工作经历

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研究方向

[1]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。

社会兼职

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团队成员

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