| Federated recommendation system via differential privacy T Li, L Song, C Fragouli 2020 IEEE international symposium on information theory (ISIT), 2592-2597, 2020 | 63 | 2020 |
| Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities T Li, C Li, J Luo, L Song Intelligent and Converged Networks 1 (1), 1-17, 2020 | 30 | 2020 |
| Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey S Liu, W Shao, T Li, W Xu, L Song Digital Signal Processing 125, 103120, 2022 | 26 | 2022 |
| Ac-sgd: Adaptively compressed sgd for communication-efficient distributed learning G Yan, T Li, SL Huang, T Lan, L Song IEEE Journal on Selected Areas in Communications 40 (9), 2678-2693, 2022 | 19 | 2022 |
| Privacy-preserving communication-efficient federated multi-armed bandits T Li, L Song IEEE Journal on Selected Areas in Communications 40 (3), 773-787, 2022 | 19 | 2022 |
| Deep reinforcement learning based residential demand side management with edge computing T Li, Y Xiao, L Song 2019 IEEE International Conference on Communications, Control, and Computing …, 2019 | 19 | 2019 |
| Semi-supervised network traffic classification using deep generative models T Li, S Chen, Z Yao, X Chen, J Yang 2018 14th International Conference on Natural Computation, Fuzzy Systems and …, 2018 | 17 | 2018 |
| Integrating future smart home operation platform with demand side management via deep reinforcement learning T Li, Y Xiao, L Song IEEE Transactions on Green Communications and Networking 5 (2), 921-933, 2021 | 15 | 2021 |
| Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty T Li, L Song 2022 IEEE Wireless Communications and Networking Conference (WCNC), 1904-1909, 2022 | 3 | 2022 |
| Cross-domain network traffic classification using unsupervised domain adaptation D Li, Q Yuan, T Li, S Chen, J Yang 2020 International Conference on Information Networking (ICOIN), 245-250, 2020 | 3 | 2020 |
| Killing two birds with one stone: Quantization achieves privacy in distributed learning G Yan, T Li, K Wu, L Song Digital Signal Processing 146, 104353, 2024 | 2 | 2024 |
| Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning G Yan, T Li, T Lan, K Wu, L Song arXiv preprint arXiv:2312.07060, 2023 | 2 | 2023 |
| Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation L Pan, Y Zhang, Q Yang, T Li, Z Chen International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks T Li, L Song IEEE Transactions on Cognitive Communications and Networking, 2023 | 1 | 2023 |
| Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning G Yan, T Li, Y Xiao, H Hou, L Song arXiv preprint arXiv:2402.01798, 2024 | | 2024 |
| Truncated Non-Uniform Quantization for Distributed SGD G Yan, T Li, Y Xiao, C Li, L Song arXiv preprint arXiv:2402.01160, 2024 | | 2024 |
| Distributed Thompson Sampling J Dong, T Li, S Ren, L Song arXiv e-prints, arXiv: 2012.01789, 2020 | | 2020 |
