Yantao Li is a Professor with the College of Computer Science, Chongqing University, Chongqing, China.  He received the PhD degree from the College of Computer Science, Chongqing University,  in December 2012. He His research area includes mobile computing and security, Internet of things, sensor networks and ubiquitous computing. He received 2020 Best Paper award from IEEE Internet Computing by IEEE Computer Society, in 2022. He was a recipient of the Outstanding PhD Thesis award in Chongqing, in 2014, and the Outstanding Master’s Thesis award in Chongqing, in 2011. Since 2022, he serves as an Associate Editor for IEEE Internet of Things Journal (IoT-J). 

Publications

  Full list: Google Scholar, DBLP, ORCID

  Selection publications (*Corresponding author)                                                     Last updated: May 2024

[1]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

[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, Volume 11, Issue 9, May 2024, Pages 15957-15968

[3]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, Accepted in April 2024

[4]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,  Accepted in April 2024

[5]Y. Li, Y. Huang, H. Huang, FuMeAuth: Sensor-Based Continuous Authentication Using Fused Memory-Augmented Transformer Autoencoder, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2024.3394437, Accepted in April 2024

[6]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, DOI: 10.1109/TBIOM.2024.3381654, Accepted in March 2024

[7]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

[8]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

[9]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

[10]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

[11]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

[12]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

[13]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

[14]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

[15]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

[16]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

[17]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

[18]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

[19]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

[20]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

[21]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

[22]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

[23]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

[24]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)

[25]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

[26]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

[27]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

[28]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

[29]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

[30]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