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IEEE 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|December 24, 2025
Towards Understanding Generalization and Stability Gaps Between Centralized and Decentralized Federated LearningYan Sun, Li Shen, Dacheng Tao
Neural Networks : the Official Journal of the International Neural Network Society|November 9, 2023
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networksHao Sun, Li Shen, Qihuang Zhong, 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 Neural Networks and Learning Systems|August 9, 2021
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and DemonstrationZhihao Cheng, Liu Liu, Aishan Liu, et al.
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