Semi-supervised network traffic classification using deep generative models. - Tan Li 002; Shuangwu Chen; Zhen Yao 003; Xiang Chen 017; Jian Yang 014 (ICNC-FSKD, 2018)

Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing. - Tan Li 002; Yuanzhang Xiao; Linqi Song (SmartGridComm, 2019)

Cross-domain Network Traffic Classification Using Unsupervised Domain Adaptation. - Dongpu Li; Qifeng Yuan; Tan Li 002; Shuangwu Chen; Jian Yang 014 (ICOIN, 2020)

Federated Recommendation System via Differential Privacy. - Tan Li 002; Linqi Song; Christina Fragouli (ISIT, 2020)

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities. - Tan Li 002; Congduan Li; Jingjing Luo; Linqi Song (Intell. Converged Networks, 2020)

Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning. - Tan Li 002; Yuanzhang Xiao; Linqi Song (IEEE Trans. Green Commun. Netw., 2021)

Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty. - Tan Li 002; Linqi Song (WCNC, 2022)

Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey. - Shuqi Liu 001; Wei Shao 009; Tan Li 002; Weitao Xu; Linqi Song (Digit. Signal Process., 2022)

Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. - Tan Li 002; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Tan Li 002; Shao-Lun Huang; Tian Lan 001; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation. - Li Pan 004; Yupei Zhang; Qiushi Yang; Tan Li 002; Zhen Chen 013 (MICCAI (6), 2023)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Tian Lan 001; Kui Wu 001; Linqi Song (CoRR, 2023)

Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks. - Tan Li 002; Linqi Song (IEEE Trans. Cogn. Commun. Netw., 2023)

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading. - Li Pan 004; Yupei Zhang; Qiushi Yang; Tan Li 002; Xiaohan Xing; Maximus C. F. Yeung; Zhen Chen 013 (BIBM, 2024)

Truncated Non-Uniform Quantization for Distributed SGD. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Hanxu Hou; Congduan Li; Linqi Song (ITW, 2024)

Truncated Non-Uniform Quantization for Distributed SGD. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Congduan Li; Linqi Song (CoRR, 2024)

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Hanxu Hou; Linqi Song (CoRR, 2024)

Killing two birds with one stone: Quantization achieves privacy in distributed learning. - Guangfeng Yan; Tan Li 002; Kui Wu 001; Linqi Song (Digit. Signal Process., 2024)

Long-tailed medical diagnosis with relation-aware representation learning and iterative classifier calibration. - Li Pan 004; Yupei Zhang; Qiushi Yang; Tan Li 002; Zhen Chen 013 (Comput. Biol. Medicine, 2025)

Unified Multi-Modal Diagnostic Framework With Reconstruction Pre-Training and Heterogeneity-Combat Tuning. - Yupei Zhang; Li Pan 004; Qiushi Yang; Tan Li 002; Zhen Chen 013 (IEEE J. Biomed. Health Informatics, 2025)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Kui Wu 001; Linqi Song (IEEE J. Sel. Areas Commun., 2025)