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。现任职于重庆大学计算机学院信息安全系。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。2022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：

· 年度招收博士生1名、硕士生3名。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。

欢迎优秀硕士、博士研究生加入移动计算安全团队！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、日本大阪大学等国内外高校以及国内软件互联网公司（比如腾讯、阿里巴巴、浪潮软件等）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。

学术成果（Google Scholar, DBLP, ORCID）

代表性论文 (*通讯作者)                                                                             Last updated: November 2024

[1]Y. Li, C. Chen, K. Zhang, D. Li, Q. Lü, S. Deng, H. Li, Q-DADAM: A Quantized Distributed Online Optimization Algorithm with Adaptive Momentum, IEEE Transactions on Control of Network Systems, Accepted in November 2024

[2]S. Ruan, Y. Li*, H. Qin, LSFM: Light Style and Feature Matching for Efficient Cross-Domain Palmprint Recognition, IEEE Transactions on Information Forensics and Security, Volume 19, October 2024, Pages 9598-9612

[3]H. Qin, Z. Xiong, Y. Li*, M. A. El-Yacoubi, J. Wang, Attention BLSTM-Based Temporal-Spatial Vein Transformer for Multi-View Finger-Vein Recognition, IEEE Transactions on Information Forensics and Security, Volume 19, October 2024, Pages 9330-9343

[4]Y. Li, S. Ling, H. Huang, F. H. Rabevohitra, Progressive Growth-based Momentum Contrast for Unsupervised Representative Learning in Classification Tasks, IEEE Networking Letters, DOI: 10.1109/LNET.2024.3482295, Accepted in October 2024

[5]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, Volume 23, Issue 9, September 2024, Pages 8839-8854 

[6]H. Ren, K. Liu, G. Yan, C. Liu, Y. Li, C. Li, W. Wu, Truthful Auction Mechanisms for Dependent Task Offloading in Vehicular Edge Computing, IEEE Transactions on Mobile Computing, DOI: 10.1109/TMC.2024.3450504, Accepted in August 2024

[7]Y. Li, X. Li, X. Lei, H. Qin, Y. Hu, G. Zhou, On the Inference of Original Graph Information from Graph Embeddings, ACM Transactions on Sensor Networks, Volume 20, Issue 5, Article 111, September 2024, 28 Pages

[8]Y. Li, K. Dan, X. Lei, H. Qin, S. Deng, G. Zhou, Using Reinforcement Learning to Escape Automatic Filter-based Adversarial Example Defense, ACM Transactions on Sensor Networks, Volume 20, Issue 5, Article 113, September 2024, 26 Pages

[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, IEEE Transactions on Mobile Computing, Volume 23, Issue 5, May 2024, Pages 4467-4482

[10]Y. Li, C. Ouyang, H. Huang, AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network, IEEE Internet of Things Journal, Volume 11, Issue 16, August 2024, Pages 27635- 27650

[11]Y. Li, Y. Huang, H. Huang, FuMeAuth: Sensor-Based Continuous Authentication Using Fused Memory-Augmented Transformer Autoencoder, IEEE Internet of Things Journal, Volume 11, Issue 15, August 2024, Pages 26340-26351

[12]H. Qin, C. Gong, Y. Li*, M. A. El-Yacoubi, X. Gao, J. Wang, Attention Label Learning to Enhance Interactive Vein Transformer for Palm-Vein Recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science, Volume 6, Issue 3, July 2024, Pages 341-351

[13]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, Volume 34, Issue 6, June 2024, Pages 4325-4341

[14]Y. Li, C. Tang,  S. Deng, H. Qin, H. Huang, Mixed Automatic Adversarial Augmentation Network for Finger-Vein Recognition, IEEE Transactions on Instrumentation and Measurement, Volume 73, Article 5021010, May 2024, 10 Pages

[15]Y. Li, X. Sun, Z. Yang, H. Huang, SNNAuth: Sensor-Based Continuous Authentication On Smartphones Using Spiking Neural Networks, IEEE Internet of Things Journal, Volume 11, Issue 9, May 2024, Pages 15957-15968

[16]Y. Li, C. Fan, H. Qin, S. Deng, M. A. El-Yacoubi, G. Zhou, Deep Reinforcement Learning-based Feature Extraction and Encoding for Finger-vein Verification, IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3398022, Accepted in April 2024

[17]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, Volume 70, Issue 1, February 2024, Pages 3018-3030

[18]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

[19]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

[20]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

[21]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

[22]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

[23]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

[24]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 and Measurement, Volume 72, Article 2509217, March 2023, 17 Pages

[25]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 and Security, Volume 18, February 2023, Pages 1509-1523

[26]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

[27]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

[28]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

[29]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 and Security, Volume 16,  March 2021, Pages 2652-2666

[30]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

[31]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

[32]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)

[33]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

[34]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

[35]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

[36]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 and Security, Volume 14, Issue 4, April 2019, Pages 913-922

[37]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

[38]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

  毕业生

唐丛艺（硕士，2021.9-2024.6），中国农业银行股份有限公司重庆市分行

欧阳材科（硕士，2021.9-2024.6），比亚迪股份有限公司

张征宇（硕士，2021.9-2024.6），中冶赛迪工程技术股份有限公司

陈英珏（硕士，2021.9-2024.6），长鑫存储技术有限公司

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