1基本信息
姓 名： 李艳涛
职 称： 研究员(博导、硕导)
E-mail：
研究方向：移动计算安全、深度学习、无线网络等
招生信息：年度招收博士1名、硕士3名，招收计算机、软件、通信和数学等专业学生。
欢迎弘深青年教师（特别资助：37-40万元/年，重点资助：27-30万元/年）加入移动计算安全团队！
欢迎优秀硕士、博士研究生加入团队！请邮件联系了解相关信息！
团队既有自由探索的研究课题（比如深度学习的隐私保护和安全），又有应用牵引的研究课题（比如移动用户持续认证、静脉图像识别等）。根据学生的兴趣爱好，选择合适的研究课题。
团队与美国威廉玛丽大学、休斯敦大学、麻省大学达特茅斯分校、卢森堡大学、日本早稻田大学等国内外高校以及国内软件互联网公司（比如腾讯、浪潮软件、税友软件等）具有深入的合作，致力于为学生提供国内外深造或者工业界实习的桥梁和平台。
2个人简介：
李艳涛是重庆大学“百人计划”研究员、博士生导师，重庆市巴渝青年学者，重庆大学博士。现任职于爱游戏信息安全系。研究领域包括：移动计算安全、深度学习和无线网络等。主持国家自然科学基金面上和青年各一项。获得重庆市自然科学奖一等奖(4/5)和贵州省自然科学三等奖(3/4)。目前在国内国际重要学术刊物上发表相关学术论文100多篇。获得2020年度IEEE Internet Computing最佳论文，IEEE NAS 2018会议最佳论文入围奖，2014年重庆市优秀博士学位论文和2011年重庆市优秀硕士学位论文。担任国家自然科学基金通讯评议专家，教育部学位中心学位论文通讯评议专家。2023年起，担任《IEEE Internet of Things Journal》副主编。
近期研究内容：
· 移动计算安全：移动用户持续认证、指纹/掌静脉图像识别
· 深度学习：生成对抗网络、图神经网络、迁移学习
· 无线网络：无线网络构架与通信、车联网/传感器感知计算
学生招募：
· 招收博士生、硕士生。教育背景包括：计算机、软件、通信和数学等。如果对相关研究内容感兴趣，可通过邮件联系。
· 理想的知识基础包括：计算机和网络体系结构、机器学习、深度学习、Python、Matlab等。
3学术成果（Google Scholar，DBLP，ORCID）
部分论文 (*通讯作者)
[1]Z. Yang, Y. Li*, G. Zhou, Unsupervised Sensor-Based Continuous Authentication With Low-Rank Transformer Using Learning-to-Rank Algorithms, IEEE Transactions on Mobile Computing, DOI: 10.1109/TMC.2024.3353209, Accepted in January, 2024.
[2]Y. Li, X. Sun, Z. Yang, H. Huang, SNNAuth: Sensor-Based Continuous Authentication On Smartphones Using Spiking Neural Networks, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2024.3349533, Accepted in January, 2024.
[3]H. Qin, C. Fan, S. Deng, Y. Li*, M. A. El-Yacoubi, G. Zhou, AG-NAS: An Attention GRU-based Neural Architecture Search for Finger-Vein Recognition, IEEE Transactions on Information Forensics and Security, Volume 19, December 2023, Pages 1699-1713
[4]H. Qin, H. Xi, Y. Li*, M. A. El-Yacoubi, J. Wang, X. Gao, Adversarial Learning-based Data Augmentation for Palm-vein Identification, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2023.3334825, Accepted in November 2023
[5]Y. Li, L. Liu, H. Qin, S. Deng, M. A. El-Yacoubi, G. Zhou, Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation, IEEE Transactions on Mobile Computing, Volume 22, Issue 10, October 2023, Pages 5690-5705
[6]H. Ren, K. Liu, C. Liu, G. Yan, Y. Li, An Approximation Algorithm for Joint Data Uploading and Task Offloading in IoV, IEEE Transactions on Consumer Electronics, DOI: 10.1109/TCE.2023.3325319, Accepted in October 2023
[7]Y. Li, J. Luo, S. Deng, G. Zhou, SearchAuth: Neural Architecture Search-based Continuous Authentication Using Auto Augmentation Search, ACM Transactions on Sensor Networks, Volume 19, Issue 4, Article 92, July 2023, 23 Pages
[8]Q. Lü, K. Zhang, S. Deng, Y. Li, H. Li, S. Gao, Y. Chen, Privacy-Preserving Decentralized Dual Averaging for Online Optimization Over Directed Networks, IEEE Transactions on Industrial Cyber-Physical Systems, Volume 1, July 2023, Pages 79-91
[9]Y. Li, L. Liu, S. Deng, H. Qin, M. A. El-Yacoubi, G. Zhou, Memory-Augmented Autoencoder based Continuous Authentication on Smartphones with Conditional Transformer GANs, DOI: 10.1109/TMC.2023.3290834, IEEE Transactions on Mobile Computing, Accepted in June 2023
[10]H. Qin, R. Hu, M. A. El-Yacoubi, Y. Li*, X. Gao, Local Attention Transformer-Based Full-View Finger-Vein Identification, IEEE Transactions on Circuits and Systems for Video Technology, Volume 33, Issue 6, June 2023, Pages 2767-2782
[11]Z. Yang, Y. Li*, G. Zhou, TS-GAN: Time-series GAN for Sensor-based Health Data Augmentation, ACM Transactions on Computing for Healthcare, Volume 4, Issue 2, Article 12, April 2023, 21 Pages
[12]H. Qin, C. Gong, Y. Li*, X. Gao, M. A. El-Yacoubi, Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition, IEEE Transactions on Instrumentation & Measurement, Volume 72, Article 2509217, March 2023, 17 Pages
[13]Y. Li, S. Ruan, H. Qin, S. Deng, M. A. El-Yacoubi, Transformer Based Defense GAN Against Palm-Vein Adversarial Attacks, IEEE Transactions on Information Forensics & Security, Volume 18, February 2023, Pages 1509-1523
[14]H. Ren, K. Liu, G. Yan, Y. Li, C. Zhan, S. Guo, A Memetic Algorithm for Cooperative Complex Task Offloading in Heterogeneous Vehicular Networks, IEEE Transactions on Network Science and Engineering, Volume 10, Issue 1, January-February 2023, Pages 189-204
[15]Y. Li, P. Tao, S. Deng, G. Zhou, DeFFusion: CNN-based Continuous Authentication Using Deep Feature Fusion, ACM Transactions on Sensor Networks, Volume 18, Issue 2, Article 18, May 2022, 20 Pages
[16]Y. Li, J. Luo, S. Deng, G. Zhou, CNN-Based Continuous Authentication on Smartphones With Conditional Wasserstein Generative Adversarial Network, IEEE Internet of Things Journal, Volume 9, Issue 7, April 2022, Pages 5447-5460
[17]H. Qin, M. A. El-Yacoubi, Y. Li*, C. Liu, Multi-Scale and Multi-Direction GAN for CNN-Based Single Palm-Vein Identification, IEEE Transactions on Information Forensics & Security, Volume 16, March 2021, Pages 2652-2666
[18]H. Huang, D. Chen, Y. Li*, IM-LDP: Incentive Mechanism of Mobile Crowd Sensing Based on Local Differential Privacy, IEEE Communications Letters, Volume 25, Issue 3, March 2021, Pages 960-964
[19]Y. Li, H. Hu, Z. Zhu, G. Zhou, SCANet: Sensor-based Continuous Authentication with Two-stream Convolutional Neural Networks, ACM Transactions on Sensor Networks, Volume 16, Issue 3, Article 29, July 2020, 27 Pages
[20]Y. Li, B. Zou, S. Deng, G. Zhou, Using Feature Fusion Strategies in Continuous Authentication on Smartphones, IEEE Internet Computing, Volume 24, Issue 2, March-April 2020, Pages 49-56 (2020 Best Paper Award by IEEE Computer Society 2022)
[21]Y. Li, X. Peng, G. Zhou, H. Zhao, SmartJump: A Continuous Jump Detection Framework on Smartphones, IEEE Internet Computing, Volume 24, Issue 2, March-April 2020, Pages 18-26
[22]Y. Li, H. Hu, G. Zhou, Using Data Augmentation in Continuous Authentication on Smartphones, IEEE Internet of Things Journal, Volume 6, Issue 1, February 2019, Pages 628-640
[23]X. Niu, H. Huang*, Y. Li*, A Real-Time Data Collection Mechanism With Trajectory Privacy in Mobile Crowd-Sensing, IEEE Communications Letters, Volume 24, Issue 10, October 2020, Pages 2114-2118
[24]Q. Yang, G. Peng, P. Gasti, K. Balagani, Y. Li, G. Zhou, MEG: Memory and Energy Efficient Garbled Circuit Evaluation on Smartphones, IEEE Transactions on Information Forensics & Security, Volume 14, Issue 4, April 2019, Pages 913-922
[25]X. Qi, Q. Yang, D. T. Nguyen, G. Peng, G. Zhou, B. Dai, D. Zhang, Y. Li, A Context-Aware Framework for Reducing Bandwidth Usage of Mobile Video Chats, IEEE Transactions on Multimedia, Volume 18, Issue 8, August 2016, Pages 1640-1649
[26]Y. Li, X. Qi, M. Keally, Z. Ren, G. Zhou, D. Xiao, Communication Energy Modeling and Optimization through Joint Packet Size Analysis of BSN and WiFi Networks, IEEE Transactions on Parallel and Distributed Systems, Volume 24, Issue 9, September 2013, Pages 1741-1751
主持项目
[1]国家自然科学基金面上项目，基于行为特征的移动用户持续认证方法和关键技术研究，在研
[2]国家自然科学基金青年项目，BSN-WiFi网络的能量优化和高能效MAC协议研究，结题
成果获奖
[1]重庆市科学技术奖自然科学奖一等奖，资源受限网络环境下移动数据协作传输理论与方法，2022，排名4/5
[2]贵州省科技进步奖自然科学奖三等奖，移动轨迹大数据驱动的城市交通预警控制与分布式优化，2022，排名3/4
4毕业生
李新阳（硕士，2020.9-2023.6），美国休斯敦大学全奖博士生(Univ. of Houston)
刘力（硕士，2020.9-2023.6），阿里巴巴(北京)软件服务有限公司
但凯健（硕士，2020.9-2023.6），象帝先计算技术(重庆)有限公司
谢天瀛（硕士，2017.9-2020.6），日本早稻田大学博士生(Waseda Univ.)
胡海龙（硕士，2016.9-2019.6），卢森堡大学全奖博士生(Univ. of Luxembourg)
邹斌（硕士，2016.9-2019.6），招商银行网络科技公司(成都)
赵翔（硕士，2015.9-2018.6），中山大学南方学院讲师
薛峰涛（硕士，2014.9-2017.6），浪潮软件集团有限公司重庆分公司
Last updated: December 2023
