范琪琳

23/03/07 10:36:14 作者: 点击:[] [小] [中] [大]

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范琪琳

职称:副教授/硕导

研究方向:边缘计算、深度学习、网络测量等

邮箱:fanqilin@cqu.edu.cn  

目前正在招硕士生,欢迎感兴趣的同学邮件咨询。

 


教育背景

2007/9-2011/7,工学学士(软件工程)四川大学

2011/9-2017/7,工学博士(计算机科学与技术),清华大学



工作经历

2022/9-至今,重庆大学,大数据与软件学院,副教授

2017/8 - 2022/8,重庆大学,大数据与软件学院,讲师

2015/1 - 2015/4,挪威科技大学,访问交流



研究课题

[8] 重庆市技术创新与应用发展面上项目,CSTB2022TIAD-GPX0017面向智能制造供应链数据安全隐私保护机制研究与应用,2022.10-2024.9(课题负责人)

[7] 重庆市自然科学基金面上项目,CSTB2022NSCQ-MSX1104,基于网络感知的服务功能链资源优化分配,2022.8-2025.7(主持)

[6] 国家自然科学基金青年项目,62102053,SDN/NFV架构下服务功能链的在线智能部署机制研究,2022.1-2024.12(主持)

[5] 国家自然科学基金面上项目,62176028,基于域自适应与多任务序列关系感知的谣言应对研究,2022.1-2025.12(主研)

[4] 国家自然科学基金面上项目,62072060,移动群智感知环境下可信共享和异构数据融合的服务推荐研究,2021.1-2024.12 (主研)

[3] 重庆大学中央高校基金科研项目,2018CDXYRJ0030 , 面向多媒体网络的自适应资源管理方法研究,2018.6-2020.5(主持)

[2] 重庆市自然基金项目(面上),cstc2019jcyj-msxmX0589,异构移动网络中边缘协作缓存的优化研究,2019.7-2022.7(主研)

[1] 重庆市基础研究与前沿探索项目,cstc2018jcyjAX0340,深度融合地理位置与社交网络大数据的影响力最大化问题研究,2018.7-2021.6(主研)



课程教学

本科生课程:《人工智能导论》(非限),《计算机系统》



学生

研究生:张标(2018级),潘盼(2019级),付智瀚(2019级),史若涵(2021级),熊志英(2021级),牛岳(2021级),刘奇峰(2022级),王斐(2022级),方可(2023级),郑镕昊(2023级)

本科生:王天富(2018级,保研中科大),丘淑婷(2019级,保研东南大学),徐铭泽(2020级,保研清华大学),曹恬恬(2020级,保研天津大学)



学生荣誉

王天富荣获2020-2021年度第二届全国大学生算法设计与编程挑战赛银奖

王天富/王海林/颜廷震/刘志鹏/丘淑婷/何京洲荣获2021年中国高校计算机大赛-网络技术挑战赛总决赛一等奖

王天富,重庆大学优秀本科毕业论文,2022届重庆大学优异生

徐铭泽荣获2022年第一届全国高校计算机技能竞赛Python赛项二等奖

徐铭泽荣获2022年第二届全国大学生人工智能知识竞赛一等奖



大学生创新创业项目

基于时空多尺度的交通流量预测方法,第十六届国家级大学生创新训练项目,2022.6-2023.6,良好结题

面向多元时间序列的网络异常检测方法研究,第七届重庆市大学生创新训练项目,2022.6-2023.6,优秀结题

基于深度学习的交通流量的分析和预测研究,第十三届大学生科研训练计划(SRTP),2021.6-2022.6,良好结题

基于模仿学习的缓存替换算法研究,第六届重庆市大学生创新训练项目,2021.6-2022.6,优秀结题 

 


科研论文

已发表期刊

[30] Hui Li, Xiuhua Li*, Qilin Fan, Qiang He, Xiaofei Wang, and Victor C. M. Leung. Distributed DNN Inference with Fine-grained Model Partitioning in Mobile Edge Computing Networks. IEEE Transactions on Mobile Computing (TMC), 2024. (JCR-Q1, CCF-A, IF=6.075)

[29] 范琪琳,牛岳,尹浩,王天富,李秀华*,郝金隆. GAT-IL:一种基于图注意力网络与模仿学习的服务功能链部署方法. 电子学报,2024. (CCF-A中文)

[28] Hui Li, Xiuhua Li*, Chuan Sun, Fang Fang, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung. Intelligent Content Caching and User Association in Mobile Edge Computing Networks for Smart Cities. IEEE Transactions on Network Science and Engineering (TNSE), 2024, 11(1): 994-1007. (JCR-Q1, IF=5.213)

[27] Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong, Joint Admission Control and Resource Allocation of Virtual Network Embedding Via Hierarchical Deep Reinforcement Learning, IEEE Transactions on Services Computing (TSC), 2023. (SCI, CCF-A, JCR-Q1, IF=8.1)

[26] Ruohan Shi, Qilin Fan*, Shu Fu, Xu Zhang, Xiuhua Li, and Meng Chen, COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment, Journal of Cloud Computing (JCC), 2023. (JCR-Q2, IF=3.222)

[25] Hui Li, Xiuhua Li*, Qilin Fan, Qingyu Xiong, Xiaofei Wang, and Victor C. M. Leung,Transfer Learning for Real-Time Surface Defect Detection with Multi-Access Edge-Cloud Computing Networks, IEEE Transactions on Network and Service Management (TNSM), 2023. (SCI, CCF-C, JCR-Q2, IF=3.878)

[24] Shuaiyi Lyu(Lu), Kai Wang*, Yuliang Wei, Hongri Liu, Qilin Fan, and Bailing Wang. GNN-based Advanced Feature Integration for ICS Anomaly Detection. ACM Transactions on Intelligent Systems and Technology, 2023. (SCI, JCR-Q2, IF=3.566)

[23] 范琪琳,熊庆宇,文俊浩,蔡斌,易华玲,“一驱动、三阶段、六环节、四促进”的计算机系统课程教学改革探索,计算机教育,2023(10). (CCF-T2

[22] Junnan Li, Zhengyi Yang*, Kai Chen, Zhao Ming, Xiuhua Li, Qilin Fan, Jinlong Hao, and Luxi Cheng, Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks, Wireless Networks (WINE), 2023. (SCI, CCF-C, JCR-Q2, IF=2.701)

[21] Shuting Qiu, Qilin Fan*, Xiuhua Li, Xu Zhang, Geyong Min, Yongqiang Lyu, OA-Cache: Oracle Approximation-Based Cache Replacement at the Network Edge. Accepted by IEEE Transactions on Network and Service Management (TNSM), 2023. (SCI, CCF-C, JCR-Q2, IF=4.195)

[20] Qilin Fan, Pan Pan, Xiuhua Li, Sen Wang*, Jian Li, Junhao Wen, DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning. IEEE Transactions on Network and Service Management (TNSM), 2022, 19(4), 4531-4545. (SCI, CCF-C, JCR-Q2, IF=4.195)

[19] Xiuhua Li, Zhenghui Xu, Fang Fang, Qilin Fan*, Xiaofei Wang, Victor C. M. Leung, Task Offloading for Deep Learning Empowered Automatic Speech Analysis in Mobile Edge-Cloud Computing Networks. Accepted by IEEE Transactions on Cloud Computing, 2022. (SCI, CCF-C, JCR-Q1, IF=5.938)

[18] Zhao Ming, Xiuhua Li*, Chuan Sun, Qilin Fan, Xiaofei Wang, Victor C. M. Leung, Sleeping Cell Detection for Resiliency Enhancements in 5G/B5G Mobile Edge-Cloud Computing Networks. ACM Transactions on Sensor Networks, 2022, 18(3)(42): 1-30. (SCI, CCF-B, JCR-Q1, IF=3.52)

[17] Xu Zhang, Zhengnan Qi, Geyong Min, Wang Miao, Qilin Fan, Zhan Ma, Cooperative Edge Caching Based on Temporal Convolutional Networks. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022, 33(9): 2093-2105. (SCI, CCF-A, JCR-Q1, IF=4.181)

[16] Qing Lyu, Yonghang Zhou, Qilin Fan*, Yongqiang Lyu, Xi Zheng, Guangquan Xu, Jun Li, JOSP: Joint Optimization of Flow Path Scheduling and Virtual Network Function Placement for Delay-Sensitive Applications. Accepted by Mobile Networks and Applications, 2021, 27(4): 1642-1658. (SCI, CCF-C, JCR-Q1, IF=3.25)

[15] Xu Zhang, Geyong Min, Qilin Fan, Hao Yin, Dapeng Oliver Wu, Zhan Ma, A Light-Weight Statistical Latency Measurement Platform at Scale. IEEE Transactions on Industrial Informatics (TII), 2022, 18(2): 1186-1196. (SCI, JCR-Q1, IF=10.215)

[14] Meng Zhang, Shu Fu*, Qilin Fan, Joint 3D Deployment and Power Allocation for UAV-BS: A Deep Reinforcement Learning Approach. IEEE Wireless Communications Letters, 2021, 10(10): 2309-2312. (SCI, JCR-Q1, IF=4.348)

[13] Biao Zhang, Qilin Fan*, Xu Zhang, Zhihan Fu, Sen Wang, Jian Li, Qingyu Xiong, A Survey of VNF Forwarding Graph Embedding in B5G/6G Networks. Accepted by Wireless Networks, 2021. (SCI, CCF-C, JCR-Q2, IF=2.602)

[12] Chuan Sun, Xiongwei Wu, Xiuhua Li*, Qilin Fan, Junhao Wen, and Victor C. M. Leung, Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic. IEEE Transactions on Network Science and Engineering (TNSE), 2021, DOI: 10.1109/TNSE.2021.3076795. (Early Access) (SCI, JCR-Q1, IF=5.213)

[11] Qilin Fan*, Hao Yin, Libo Jiao, Yongqiang Lyv, Haojun Huang, Xu Zhang, Towards Optimal Request Mapping and Response Routing for Content Delivery Networks. IEEE Transactions on Services Computing (TSC), 2021, 14(2): 606-613. (SCI, CCF-B, JCR-Q1, IF=11.019)

[10] Qilin Fan, Xiuhua Li, Jian Li, Qiang He, Kai Wang, Junhao Wen, PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks. IEEE Transactions on Network and Service Management (TNSM), 2021, 18(2): 1746-1757. (SCI, CCF-C, JCR-Q1, IF=3.878)

[9] Shu Fu*, Qilin Fan*, Yujie Tang, Haijun Zhang, Xin Jian, Xiaoping Zeng, Cooperative Computing in Integrated Blockchain Based Internet of Things. IEEE Internet of Things Journal (IOTJ), 2020, 7(3): 1603-1612. (SCI, JCR-Q1, IF=9.515)

[8] Qilin Fan, Xiuhua Li, Sen Wang, Shu Fu, Xu Zhang and Yuetang Wang. NA-Caching: An adaptive content management approach based on deep reinforcement learning, IEEE Access, 2019, 7: 152014-152022. (SCI, JCR-Q1, IF=4.098)

[7] Sen Wang*, Jun Bi, Jianping Wu, Athanasios V. Vasilakos, Qilin Fan, VNE-TD: A Virtual Network Embedding Algorithm Based on Temporal-Difference Learning. Computer Networks, 2019, 161(9): 251-263. (SCI, CCF-B, JCR-Q1, IF=3.030)

[6] Qilin Fan, Hao Yin, Geyong Min, Po Yang, Yan Luo, Yongqiang Lyu, Haojun Huang, Libo Jiao, Video Delivery Networks: Challenges, Solutions and Future Directions, Computers and Electrical Engineering, 2018, 66: 332-341. (SCI, JCR-Q2)

[5] Qilin Fan, Hao Yin, Zexun Jiang, Haojun Huang, Yan Luo, Xu Zhang, Adaptive Content Management for UGC Video Delivery in Mobile Internet Era, Mobile Information Systems, 2016: 1-9. (JCR-Q3)

[4] 范琪琳,尹浩,林闯,董加卿,宋伟,互联网自治域商业关系推测算法,计算机学报,37(04): 950-962, 2014. (中文核心,CCF-A)

[3] Haojun Huang, Junbao Zhang, Xu Zhang, Benshun Yi, Qilin Fan, Feng Li, EMGR: Energy-efficient multicast geographic routing in wireless sensor networks, Computer Networks, 2017, 129(1): 51-63, 2017. (SCI, CCF-B, JCR-Q1, IF=3.030)

[2] Haojun Huang, Hao Yin, Yan Luo, Xu Zhang, Geyong Min, Qilin Fan, Three- Dimensional Geographic Routing in Wireless Mobile Ad Hoc and Sensor Networks, IEEE Network, 2015, 30(2): 82-90. (SCI, JCR-Q2)

[1] Ran Liu, Hao Yin, Xuejun Cai, Guangxi Zhu, Li Yu, Qilin Fan, Jie Xu, Cooperative Caching Scheme for Content Oriented Networking, IEEE Communications Letters, 2013, 17(4): 781-784. (JCR-Q3)


已发表会议

[17] Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, and Hui Xiong. FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. Accepted by Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF-A)

[16] Guozheng Xu, Xiuhua Li*, Hui Li, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung, Energy-Efficient Dynamic Asynchronous Federated Learning in Mobile Edge Computing Networks, Accepted by IEEE International Conference on Communications (ICC), 2023. (CCF-C)

[15] Rongqi Zhang, Xu Zhang, Peiyao Guo, Qilin Fan, Hao Yin, Zhan Ma, QoE Models for Online Video Streaming. Accepted by International Conference on Ubiquitous Computing and Communications (IUCC), 2021.

[14] Zhao Ming, Xiuhua Li*, Chuan Sun, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung, Dependency-Aware Hybrid Task Offloading in Mobile Edge Computing Networks. Accepted by IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2021. (CCF-C)

[13] Zhihan Fu, Qilin Fan, Xu Zhang, Xiuhua Li, Sen Wang*, Yueyang Wang, Policy Network Assisted Monte Carlo Tree Search for Intelligent Service Function Chain Deployment. Accepted by IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021. (CCF-C)

[12] Fanfan Wu, Xiuhua Li*, Hui Li, Qilin Fan, Linquan Zhu, Xiaofei Wang, and Victor C. M. Leung, Energy-Time Efficient Task Offloading for Mobile Edge Computing in Hot-Spot Scenarios. IEEE International Conference on Communications (ICC), 2021: 1-6. (CCF-C)

[11] Tianfu Wang, Qilin Fan*, Xiuhua Li, Xu Zhang, Qingyu Xiong, Shu Fu, Min Gao, DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning. IEEE International Conference on Communications (ICC), 2020:1-6. (CCF-C)

[10] Pan Pan, Qilin Fan*, Sen Wang, Xiuhua Li, Jian Li, Wenxiang Shi, GCN-TD: A Learning-based Approach for Service Function Chain Deployment on the Fly. IEEE Global Communications Conference (Globecom), 2020: 1-6. (CCF-C)

[9] Zhao Ming, Chuan Sun, Xiuhua Li*, Qilin Fan, Xiaofei Wang, Victor C. M. Leung, Ensemble Learning Based Sleeping Cell Detection in Cloud Radio Access Networks. IEEE Symposium on Computers and Communications (ISCC) 2020: 1-6. (CCF-C)

[8] Shitong Cheng, Zhenghui Xu, Xiuhua Li*, Xiongwei Wu, Qilin Fan, Xiaofei Wang and Victor C. M. Leung, Task Offloading for Automatic Speech Recognition in Edge-Cloud Computing Based Mobile Networks. IEEE Symposium on Computers and Communications (ISCC) 2020: 1-6. (CCF-C)

[7] Qilin Fan, Hao Yin, Qiang He, Yuming Jiang, Sen Wang, Yongqiang Lyu, Xu Zhang, Neural Adaptive Caching Approach for Content Delivery Networks. International Conference on Service-Oriented Computing (ICSOC), 2019, LNCS 11895: 569-570. (CCF-B, Poster)

[6] Qilin Fan, Hao Yin, Geyong Min, Sen Wang, Yongqiang Lyu, Xu Zhang, Content and Network Aware Replication and Scheduling Mechanism for User Generated Content Videos. IEEE Conference on Ubiquitous Intelligence and Computing (UIC), 2019: 739-746. (CCF-C)

[5] Qilin Fan*, Hao Yin, Yuming Jiang, Yongqiang Lyu, Sen Wang, Haojun Huang and Xu Zhang. Resource Reservation and Request Routing for a Cloud-Based Content Delivery Network. IEEE International Conference on Service-Oriented System Engineering (SOSE), 2019: 281-2815.

[4] Yangchao Zhao, Xu Zhang, Kai Yang, Qilin Fan, Dongchao Guo, Yongqiang Lyu, Hao Yin and Zhan Ma. Caching Salon: from Classical to Learning-Based Approaches. IEEE International Conference on Service-Oriented System Engineering (SOSE), 2019: 269-2695.

[3] Kai Yang, Xu Zhang, Yangchao Zhao, Qilin Fan, Qin Gao, Yongqiang Lyu, Hao Yin and Zhan Ma. Looking into Online Gaming from Measurement Perspective. IEEE International Conference on Service-Oriented System Engineering (SOSE), 2019: 203-2035.

[2] Qilin Fan, Xiaohu Chen, Hao Yin, Ran Liu, Smart switch: Optimize for green cellular networks, IEEE Consumer Communications and Networking Conference (CCNC), 701-704, Las Vegas, NV, USA, 2013.1.11-1.14.

[1] Xiaohu Chen, Qilin Fan, Hao Yin, Caching in Information-Centric Networking: From a Content Delivery Path Perspective, International Conference on Innovations in Information Technology (IIT), 2013, 48-53, Abu Dhabi, United Arab Emirates, 2013.3.17-3.19.


已申请专利列表:

[19] 李秀华,李辉,徐峥辉,郝金隆,蔡春茂,范琪琳,杨正益,文俊浩,一种车联网中基于边缘计算和深度强化学习的动态服务放置方法. 中国发明专利,专利授权号:ZL202210992657.5

[18] 范琪琳,徐铭泽,熊志英,卢宇航,雷祥,李秀华,熊庆宇,文俊浩,一种基于相似度的多元时间序列异常检测与诊断方法. 中国发明专利,专利申请号:202310208218.5

[17] 范琪琳,熊志英,徐铭泽,李秀华,熊庆宇,文俊浩,易华玲,一种基于预测和重构多变量时间序列的无监督KPI异常检测方法. 中国发明专利,专利申请号:202211249799.9.

[16] 范琪琳,潘盼,李秀华,付智瀚,王森,毛玉星,李剑,一种网络服务功能链部署方法,中国发明专利,专利授权号:ZL202010879860.2

[15] 李秀华,李辉,孙川,范琪琳,熊庆宇,文俊浩,毛玉星,李剑. 一种移动边缘计算网络下内容缓存和用户关联优化方法. 中国发明专利,专利授权号:ZL202010932408.8

[14] 李秀华,明钊,孙川,袁传奇,范琪琳,王悦阳,唐永川,毛玉星,李剑,移动通信网络中基于异常检测和集成学习的休眠小区检测方法. 中国发明专利,专利授权号:ZL201911402828.9

[13] 范琪琳,牛岳,潘盼,李秀华,蔡海尼,王森,王斐,一种资源异构环境下面向可靠性的服务功能链备份方法. 中国发明专利,专利授权号:ZL202210514959.1

[12] 范琪琳,熊志英,付智瀚,李秀华,熊庆宇,高旻,王森,一种基于蒙特卡洛树搜索的服务功能链迁移方法. 中国发明专利,专利授权号:ZL202210532948.6

[11] 范琪琳,史若涵,李秀华,付澍,陈蒙,王悦阳,刘奇峰,一种基于多智能体强化学习的边缘缓存替换方法. 中国发明专利,专利申请号:202210513240.6

[10] 范琪琳,丘淑婷,蔡茂林,马浩,李秀华,熊庆宇,文俊浩,一种基于模仿学习的缓存替换系统及方法. 中国发明专利,专利申请号:202210491621.9

[9] 宋涛,李秀华,李辉,杨正益,范琪琳,胡春强,文俊浩,一种基于区块链的船舶轨迹监测系统. 中国发明专利,专利授权号:ZL202111198724.8

[8] 李秀华,韩苏宁,明钊,孙川,范琪琳,王悦阳,杨正益,文俊浩,熊庆宇. 一种基于推荐感知和协作边缘缓存的内容请求处理系统. 中国发明专利,专利申请号:202110572916.4

[7] 李秀华,吴凡凡,李辉,徐峥辉,明钊,范琪琳,文俊浩,熊庆宇,一种移动边缘计算系统中任务卸载的成本效率优化系统及方法. 中国发明专利,专利授权号:202011595152.2

[6] 范琪琳,王天富,李秀华,熊庆宇,潘盼,文俊浩,高旻,基于基于异步强化学习的网络服务功能链动态部署系统及方法,中国发明专利,专利申请号:202011514515.5

[5] 范琪琳,付智瀚,李秀华,潘盼,邢镔,王森,程路熙,一种基于强化学习的服务功能链部署方法,中国发明专利,专利授权号: ZL202010881131.0

[4] 范琪琳,李秀华,付智瀚,陈勇,王悦阳,唐永川,王森,毛玉星,李剑,自适应内容缓存方法,中国发明专利,专利申请号:202010204194.2

[3] 李秀华,李辉,孙川,文俊浩,熊庆宇,范琪琳,王悦阳,毛玉星,李剑,一种端-边-云协同计算的任务卸载优化方法,中国发明专利,专利授权号:ZL 201911402857.5

[2] 李秀华,徐峥辉,袁传奇,程诗桐,毛玉星,李剑,范琪琳,王悦阳,唐永川,一种基于边缘计算加速自动语音识别任务的卸载方法,中国发明专利,专利申请号:201911408237.2

[1] 李秀华,明钊,孙川,乐雯娇,吴凡凡,范琪琳,王悦阳,毛玉星,李剑,移动通信网络中基于异常检测和核密度估计(KDE)的指标突变小区检测方法,中国发明专利,专利授权号:ZL201911402828.9


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