2022.06至今  南京理工大学 电子工程与光电技术学院 副教授

2018.12至2022.06  南京理工大学 电子工程与光电技术学院 讲师

2014.03至2018.12 东南大学-英国南安普顿大学 联合培养博士

2010.09至2013.04 东南大学 硕士

获2023年江苏省高校微课教学比赛三等奖

指导学生获2022年江苏省优秀本科毕设论文三等奖

指导学生获2020/2021/2022/2023/2024年校级本科优秀毕设

指导学生获2020/2023/2024年校级本科优秀团队毕设

指导学生获2024年校级优秀硕士学术学位论文

2020年获选江苏省“双创博士”

IEEE member, 中国通信学会高级会员。

长期担任IEEE Transactions on Wireless Communications、IEEE Transactions on Communications、IEEE Transactions on Vehicular Technology、IEEE Transactions on Information Forensics & Security、IEEE Wireless Communication Letter、IEEE Access、ACM Computing Surveys、IEEE Internet of Things、IEEE Transactions on Machine Learning in Communications and Networking等国际期刊和IEEE ICC、WCSP、ICCT等通信类会议审稿人。多次担任ICC等IEEE会议TPC member。

代表国际期刊论文如下：

[1].   Jinjin Shen, Yan Lin, Yijin Zhang, Weibin Zhang, Feng Shu and Jun Li, "Content Caching-Assisted Vehicular Edge Computing Using Multi-Agent Graph Attention Reinforcement Learning," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3479290.

[2].   Yan Lin, Zhijuan Wu, Nuoheng Peng, Tianyu Zhao, Yijin Zhang, Feng Shu and Jun Li. Defending against jamming and interference for Internet of UAVs using cooperative multi-agent reinforcement learning with mutual information[J]. China Communications, early access, 2024. SCI

[3].   Ziyan Yin, Jun Li, Zhe Wang, Yuwen Qian, Yan Lin, Shu Feng and Wen Chen. UAV communication against intelligent jamming: A stackelberg game approach with federated reinforcement learning[J]. IEEE Transactions on Green Communications and Networking, early access, 2024. 

[4].   Aoyu Gong, Yuan-Hsun Lo, Yan Lin, Yijin Zhang. Dynamic random access without observation under deadline-constrained periodic traffic, IEEE Transactions on Vehicular Technology, 2024, 73(1):1503-1508.

[5].   Yan Lin, Jinming Bao, Yijin Zhang, Jun Li, Feng Shu and Lajos Hanzo. Privacy-preserving joint edge association and power optimization for the Internet of vehicles via federated multi-agent reinforcement learning[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6):8256-8261.

[6].   Yijin Zhang, Aoyu Gong, Lei Deng, Yuan-Hsun Lo, Yan Lin and Jun Li. Achieving maximum urgency-dependent throughput in random access[J]. IEEE Transactions on Communications, 2023, 71(11):6435-6450.

[7].   Yan Lin, Yijin Zhang, Jun Li, Feng Shu and Chunguo Li. Popularity-aware online task offloading for heterogeneous vehicular edge computing using contextual clustering of bandits[J]. IEEE Internet of Things Journal, 2022, 9(7):5422-5433. 

[8].   Ziyan Yin, Yan Lin*, Yijin Zhang, Yuwen Qian, Shu Feng and Jun Li*. Collaborative multiagent reinforcement learning aided resource allocation for VAU anti-jamming communication[J]. IEEE Internet of Things Journal, 2022, 9(23):23995-24008. 

[9].   Nuoheng Peng, Yan Lin*, Yijin Zhang* and Jun Li. AoI-aware joint spectrum and power allocation for Internet of vehicles: A trust region policy optimization-based approach[J]. IEEE Internet of Things Journal, 2022, 9(20):19916-19927.

[10]. Xin Cheng, Yan Lin, Weiping Shi, Jiayu Li, Cunhua Pan, Feng Shu, Yongpeng Wu and Jiangzhou Wang. Joint optimization for RIS-assisted wireless communications: From physical and electromagnetic perspectives[J]. IEEE Transactions on Communications, 2022, 70(1):606-620.

[11]. Yuwen Qian, Wei Li, Yan Lin*, Long Shi, Xiangwei Zhou, Jun Li, Feng Shu. Antenna Coding and Rate Optimization for Covert Wireless Communications[J]. IEEE Internet of Things Journal, 2022, 10(3):2459-2472.

[12]. Guiyang Xia, Yan Lin, Xiaobo Zhou, Lichuan Gu and Feng Shu. Alleviating secrecy outage events via power optimization for finite-alphabet inputs[J]. IEEE Wireless Communications Letters, 2022, 11(2):352-356.

[13]. Tong Shen, Wenlong Cai, Yan Lin, Shuo Zhang, Jinyong Lin, Feng Shu, Jiangzhou Wang. Multi-RIS aided 3D secure precise wireless transmission[J]. Journal of Communications and Networks, 2022, 24(5):541-554.

[14]. Teng Liang, Yan Lin, Long Shi, Jun Li, Yijin Zhang and Yuwen Qian. Distributed vehicle tracking in wireless sensor network：A fully decentralized multi-agent reinforcement learning approach[J]. IEEE Sensors Letters, 2021, 5(1):1-4.

[15].  Yan Lin, Zhengming Zhang, Yongming Huang, Jun Li, Feng Shu and Lajos Hanzo. Heterogeneous user-centric cluster migration improves the connectivity-handover trade-off in vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12):16027-16043.

[16].  Guiyang Xia, Yan Lin*, Feng Shu*, Yongpeng Wu and Jiangzhou Wang. An anti-eavesdropping strategy for precoding-aided spatial modulation with rough CSI of Eve[J]. IEEE Transactions on Vehicular Technology, 2020, 69(2):2343-2347.

[17].  Tong Shen, Yan Lin, Jun Zou, Yongpeng Wu, Feng Shu and Jiangzhou Wang. Low-complexity leakage-based secure precise wireless transmission with hybrid beamforming[J]. IEEE Wireless Communications Letters, 2020, 9(10): 1687-1691.

[18].  Tong Shen, Tingting Liu, Yan Lin, Yongpeng Wu, Feng Shu, Zhu Han. Regional robust secure precise wireless transmission design for multi-user UAV broadcasting system[J]. EURASIP Journal on Wireless Communications and Networking, 2020, 2020:1-20.

[19].  Guiyang Xia, Yan Lin, Tingting Liu, Feng Shu and Lajos Hanzo. Transmit antenna selection and beamformer design for secure spatial modulation with rough CSI of Eve[J]. IEEE Transactions on Wireless Communications, 2020, 19(7):4643-4656.

[20].  Jun Li, Zhichao Xing, Weibin Zhang, Yan Lin and Feng Shu. Vehicle tracking in wireless sensor networks via deep reinforcement learning[J]. IEEE Sensors Letters, 2020, 4(3):1-4.

[21].  Yan Lin, Rong Zhang, Luxi Yang, Chunguo Li and Lajos Hanzo. User-centric clustering for designing ultradense networks: Architecture, objective functions, and design guidelines[J]. IEEE Vehicular Technology Magazine, 2019, 14(3):107-114.

[22].  Shruti Gupta, Muralikrishnan Srinivasan, Yan Lin, Rong Zhang, Sheetal Kalyani and Lajos Hanzo. Performance analysis of device-to-device communication underlaying dense networks (DenseNets)[J]. IEEE Transactions on Vehicular Technology, 2019, 68(9):9257-9266.

[23].  Jiayi Zhang, Shuaifei Chen, Yan Lin, Jiakang Zheng, Bo Ai and Lajos Hanzo. Cell-free massive MIMO: A new next-generation paradigm[J]. IEEE Access, 2019, 7:99878-99888.

[24].  Yan Lin, Rong Zhang, Luxi Yang and Lajos Hanzo. Secure user-centric clustering for energy efficient ultra-dense networks: Design and optimization[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(7):1609-1621. 

[25].  Yan Lin, Rong Zhang, Luxi Yang and Lajos Hanzo. Modularity-based user-centric clustering and resource allocation for ultra dense networks[J]. IEEE Transactions on Vehicular Technology, 2018, 67(12):12457-12461.  

[26].  Yan Lin, Rong Zhang, Chunguo Li, Luxi Yang and Lajos Hanzo. Graph-based joint user-centric overlapped clustering and resource allocation in ultradense networks[J]. IEEE Transactions on Vehicular Technology, 2017, 67(5):4440-4453.

[27].  Yan Lin, Yi Wang, Chunguo Li, Yongming Huang and Luxi Yang. Joint design of user association and power allocation with proportional fairness in massive MIMO HetNets[J]. IEEE Access, 2017, 5:6560-6569.

代表国内期刊论文如下：

[1].   吴志娟, 林艳, 张一晋, 束锋, 李骏. 基于多智能体协同的无人机簇群多域节能抗干扰通信[J]. 中国科学-信息科学, 2023, 53(12):2511-2526.

[2].   林艳, 陶奕宇, 张一晋, 束锋, 李骏. 基于多智能体协作学习的车联网联合通信计算资源分配[J]. 移动通信, 2023, 47(06):103-109.

[3].   朱奕雯, 张葳, 林艳, 罗元勋, 张一晋. 大规模能量收集物联网基于信息年龄的自适应接入[J]. 中国科学:信息科学, 2023, 53(06):1181-1196.

[4].   俞汉清, 林艳, 贾林琼, 李强, 张一晋. 面向多目标救援的通信受限无人机集群分布式策略[J]. 物联网学报, 2022, 6(03):103-112.

[5].   康雅洁, 林艳, 张一晋. 基于贝叶斯Q学习的无人机集群抗干扰智能快跳频算法[J]. 航天控制, 2022, 40(02):73-78.

[6].   房婷, 宫傲宇, 张帆, 林艳, 贾林琼, 张一晋. 一种传输时限下认知无线电网络的动态广播策略[J]. 计算机科学, 2021, 48(07):340-346.

[7].   张帆, 宫傲宇, 邓磊, 刘芳, 林艳, 张一晋. 面向实际信道观测环境的时限约束无线下行调度策略[J]. 计算机科学, 2021, 48(09):264-270.

[8].   黄煜梵, 彭诺蘅, 林艳, 范建存, 张一晋, 余妍秋. 基于SAC强化学习的车联网频谱资源动态分配[J]. 计算机工程, 2021, 47(09):34-43.

[9].   林艳, 闫帅, 张一晋, 李春国, 束锋. 基于交通流量预测的车联网双边拍卖边缘计算迁移方案[J]. 通信学报, 2020, 41(12):205-214.

代表会议论文如下：

[1].   Liqin Xiao, Yan Lin, Yijin Zhang, Jun Li and Feng Shu. AoI-aware energy-efficient vehicular edge computing using multi-agent reinforcement learning with actor-attention-critic[C]. 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), accepted.

[2].   Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin and Yijin Zhang. Age-of-information dependent random access for periodic updating[C]. 2024 IEEE International Conference on Communications (ICC), accepted.

[3].   Yiwen Zhu, Wei Zhang, Yan Lin, Yuan-Hsun Lo and Yijin Zhang. Improving age of information in large-scale energy harvesting networks[C]. 2023 IEEE International Conference on Communications Workshops (ICC Workshops), 2023:1173-1178.

[4].   Wenjing Jiao, Jinjin Shen, Yan Lin, Yijin Zhang and Weibin Zhang. Multi-objective proximal policy optimization for digital twin-assisted computing offloading in Internet of vehicles[C]. 2023 International Conference on Wireless Communications and Signal Processing (WCSP), 2023:892-897.

[5].   Yiyu Tao, Yan Lin*, Yijin Zhang, Feng Shu and Jun Li. Multi-agent reinforcement learning for energy-efficiency edge association in Internet of vehicles[C]. 2022 IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, 2022:6307-6312.

[6].   Wei Li, Jie Liao, Yuwen Qian, Xiangwei Zhou, Yan Lin, A wireless covert communication system: Antenna coding and achievable rate analysis[C]. 2022 IEEE International Conference on Communications (ICC), 2022:438-443.

[7].   Feng Du, Jun Li, Yan Lin, Zhe Wang, and Yuwen Qian. Mean-field multi-agent reinforcement learning for adaptive anti-jamming channel selection in UAV communications[C]. 2022 International Conference on Wireless Communications and Signal Processing(WCSP), 2022:910-915.

[8].   Mengqi Chen, Guangming Wu, Yuhuang Zhang, Yan Lin, Yijin Zhang and Jun Li. Distributed deep reinforcement learning-based content caching in edge computing-enabled blockchain networks[C]. 2021 International Conference on Wireless Communications and Signal Processing(WCSP), Changsha, 2021:1-5.

[9].   Hanqin Yu, Yajie Kang, Ze Shi, Yulin Shao, Yan Lin and Yijin Zhang. Design of deterministic grant-free access with deep reinforcement learning[C]. 2020 IEEE 20th International Conference on Communication Technology (ICCT), Nanning, 2020:944-948.

已申请国内专利近30项，其中已授权专利15项：
 

(15) 陈孟骐，林艳，包金鸣，张一晋，李骏，束锋，“基于多智能体近端策略的车联网分布式边缘缓存决策方法”， 202210867388.X

(14) 林艳, 陶奕宇，包金鸣，张一晋，邹骏，李骏，束锋，“基于多智能体深度强化学习的异构车联网用户关联方法”，ZL202210242124.5

(13) 彭诺蘅，林艳，张一晋，李骏，邹骏，“一种基于深度强化学习的信息年龄可感知资源分配方法”，ZL202210228341.9

(12) 林艳; 康雅洁; 张一晋; 李骏; 彭诺蘅; 陶奕宇; 一种基于贝叶斯Q学习的无人机集群网络智能跳频方法, 2022-08-30, 中国, ZL202110596287.9 

(11) 林艳; 彭诺蘅; 张一晋; 李骏; 一种基于多智能体强化学习的无人机网络协同快跳频方法, 2023-07-07, 中国, CN202110680187.4 

(10) 李骏, 林艳, 张一晋, 白金祥, 范祥瑞，“基于多智能体协作的无人机集群网络智能多跳路由方法”，202210240571.7 

(9) 闫帅; 林艳; 李帆远; 张一晋; 束锋; 邹骏; 基于车流量预测的车联网双边拍卖式边缘计算迁移方法, 2022-09-16, 中国, ZL 202010535806.6 

(8) 李骏, 林艳, 杜丰，“一种基于知识梯度的无人机最优信道快速选择算法”，2024-06-14, 202110681497.8 

(7) 李骏; 林艳; 张一晋; 傅凝宁; 一种基于多智能体强化学习的软件定义网络路由方法, 2022-10-14, 中国, ZL202110663351.0 

(6) 俞汉清; 张一晋; 林艳; 李骏; 邹骏; 一种无人机多目标救援决策方法, 2022-08-26, 中国, ZL 202110606886.4 

(5) 杨澳钦; 宫傲宇; 张一晋; 林艳; 李骏; 邹骏 ; 一种时限及能量约束下的分布式无线传输方法, 2022-11-18, 中国, ZL 202110617914.2 

(4) 俞汉清; 石泽; 康雅洁; 邵郁林; 林艳; 张一晋; 一种基于深度强化学习的干扰抵消调度码设计方法, 2022-11-11, 中国, ZL 202011076918.6 

(3) 张一晋; 张帆; 宫傲宇; 徐圣楠; 傅桂娥; 林艳; 一种通信场景下信道接入方法, 2021-08-03, 中国, ZL 201911358148.1 

(2) 房婷; 宫傲宇; 张帆; 李其越; 张一晋; 林艳; 邹骏; 一种认知无线电网络的动态信道接入方法, 2023-07-21, 中国, CN202010537350.7 

(1) 张祺婧; 宫傲宇; 阮郑谦; 李其越; 张一晋; 林艳; 邹骏; 一种多包接收机制下的CSMA协作退避方法, 2023-08-01, 中国, CN202010535842.2 

1）承担本科生课程《RFID原理及应用》，秋学期

2）承担硕士研究生课程《软件无线电技术》，春学期

指导/协助指导学生发表专利多项、论文多篇，其中：

（1）毕业设计：

连续5年获校优毕设9次，其中获3次推荐省优资格，1次省优三等奖：

9）2024年，本科毕设校级优秀，丁祉涵：无人集群网络联合跨层路由与资源分配智能决策

8）2024年，本科团队毕设校级优秀，丁祉涵：无人机物联网高能效抗干扰通信关键技术研究

7）2023年， 本科团队毕设校级优秀（推荐省优），沈金金、焦文静：边缘赋能下智能无线车联网通感算一体化关键技术

6）2023年，本科毕设校级优秀，沈金金：车联网中基于边缘计算的内容缓存技术；

5）2023年，本科毕设校级优秀，焦文静：车联网中基于数字孪生的计算卸载技术.

4）2022年，本科毕设校级优秀\省级优秀三等奖，陈孟骐：基于区块链的车联网边缘缓存智能决策研究. （学生一作发表IEEE WCSP2021 EI会议论文1篇，一作提交专利1项，外校读研）

3）2021年，本科毕设校级优秀，康雅洁：无人飞行器集群网络的抗干扰自适应快跳频技术研究. （学生一作提交专利1项，且发表《航天控制》中文核心期刊论文1篇，保研于电子科大）

2）2020年，本科毕设校级优秀，闫帅：基于车流量感知的车载自组织网络负载均衡技术. （学生一作提交专利1项，二作发表《通信学报》EI卓越期刊论文1篇，保研于中科大）

1）2020年，本科团队毕设校级优秀（推荐省优），李帆远：面向未来智能网联的车路协同关键技术研究. （学生一作提交专利1项，且发表IEEE ICCT2021 EI论文1篇，美国读研）

（2）省级科研训练：

3）2022年，省级科研训练，王瑞成，蒲柏宇，张楚：基于分布式边缘智能的车联网计算卸载技术. 

2）2021年，省级科研训练，刘梦泽，单雯，卢其然：基于多智能体协同的无人机集群网络多域智能抗干扰技术. （学生一作申请专利1项.）

1）2020年，省级科研训练，陈孟骐，吴光明，张玉皇：基于移动边缘计算的区块链网络中内容缓存机制研究. （学生一作发表IEEE WCSP 2021 EI会议1篇.）

（3）研究生：入职于华为、研究所、运营商等

已毕业：

3) 2024届：吴志娟（通信学会T1级期刊2篇，1项专利）；杨乾泽（1项专利）

2) 2023届：包金鸣（2024校级优秀硕士论文，中科院二区SCI一篇，2项专利）；陶奕宇（通信领域顶会GLOBECOMN一篇，T2级期刊1篇，1项专利）

1) 2022届：彭诺蘅（中科院一区SCI一篇，2项专利，获大学生课外学术科研基金项目）

欢迎对6G无线通信方向科研感兴趣、有较好编程/数学/英语基础的本科生、硕士生加入！每年招收1组科研训练，2-3名本科毕设，2-3名硕士生。