Yantao Li is a Professor at 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. His research interests include mobile computing and security, the Internet of things, sensor networks, and ubiquitous computing. He received the 2023 Best Paper Award from ACM Transactions on Computing for Healthcare and the 2020 Best Paper Award from IEEE Internet Computing. He was honored with the Outstanding PhD Thesis Award in Chongqing in 2014 and the Outstanding Master’s Thesis Award in Chongqing in 2011. He serves as an Associate Editor for the IEEE Internet of Things Journal (IoT-J) and Scientific Reports. 

Publications

  Full list: Google Scholar, DBLP, ORCID

  Selected publications (*Corresponding author)                                                                             Last updated: March 2025

[1]Y. Li, Y. Wang, H. Huang, RPWAEAuth: Sensor-Based Continuous Authentication Using Reconstruction Probability in Wasserstein Autoencoder, ACM Transactions on Sensor Networks, Accepted in February 2025

[2]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, Volume 9, Issue 1, February 2025, Pages 522-536

[3]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

[4]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, Volume 23, Issue 12, December 2024, Pages 14987-15002 

[5]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

[6]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

[7]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

[8]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 

[9]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

[10]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

[11]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

[12]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

[13]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

[14]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

[15]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

[16]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

[17]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

[18]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

[19]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

[20]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

[21]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

[22]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

[23]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

[24]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 (2023 Best Paper Award)

[25]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

[26]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

[27]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

[28]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

[29]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

[30]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

[31]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

[32]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

[33]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)

[34]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

[35]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

[36]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

[37]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

[38]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

[39]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