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IEEE Transactions on Pattern Analysis and Machine Intelligence|December 24, 2025
Towards Understanding Generalization and Stability Gaps Between Centralized and Decentralized Federated LearningYan Sun, Li Shen, Dacheng TaoIEEE Transactions on Pattern Analysis and Machine Intelligence|August 1, 2023
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear SpeedupYan Sun, Li Shen, Hao Sun, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|March 24, 2026
Stability and Generalization for Distributed SGDAMiaoxi Zhu, Yan Sun, Li Shen, et al.IEEE Transactions on Neural Networks and Learning Systems|May 29, 2023
Quantum Imitation LearningZhihao Cheng, Kaining Zhang, Li Shen, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|September 15, 2025
Adaptive Batch Size Time Evolving Stochastic Gradient Descent for Federated LearningXuming An, Li Shen, Yong Luo, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated LearningQinglun Li, Li Shen, Guanghao Li, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|June 3, 2024
On Transforming Reinforcement Learning With Transformers: The Development TrajectoryShengchao Hu, Li Shen, Ya Zhang, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|April 15, 2025
Constraint Boundary Wandering Framework: Enhancing Constrained Optimization with Deep Neural NetworksShuang Wu, Shixiang Chen, Li Shen, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|May 21, 2025
Towards Understanding the Generalizability of Delayed Stochastic Gradient DescentXiaoge Deng, Li Shen, Shengwei Li, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|October 10, 2025
Release the Potential of Memory Buffer in Continual Learning: A Dynamic System PerspectiveZhenyi Wang, Li Shen, Tiehang Duan, et al.Pageof 871