Sen Lin
Sen Lin
Assistant Professor at University of Houston
Verified email at - Homepage
Cited by
Cited by
A collaborative learning framework via federated meta-learning
S Lin, G Yang, J Zhang
2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS), 2020
TRGP: Trust Region Gradient Projection for Continual Learning
S Lin, L Yang, D Fan, J Zhang
International Conference on Learning Representations (ICLR), 2022
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
S Yue, J Ren, J Xin, S Lin, J Zhang
Proceedings of the Twenty-Second International Symposium on Theory …, 2021
Edge intelligence in the making: Optimization, deep learning, and applications
S Lin, Z Zhou, Z Zhang, X Chen, J Zhang
Morgan & Claypool Publishers, 2021
Crowdsensing for spectrum discovery: A waze-inspired design via smartphone sensing
S Lin, J Zhang, L Ying
IEEE/ACM Transactions on Networking 28 (2), 750-763, 2020
Data-driven distributionally robust optimization for edge intelligence
Z Zhang, S Lin, M Dedeoglu, K Ding, J Zhang
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2619-2628, 2020
Model-Based Offline Meta-Reinforcement Learning with Regularization
S Lin, J Wan, T Xu, Y Liang, J Zhang
International Conference on Learning Representations (ICLR), 2022
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
S Yue, G Wang, W Shao, Z Zhang, S Lin, J Ren, J Zhang
International Conference on Learning Representations (ICLR), 2023
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
S Lin, L Yang, D Fan, J Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
H Wang, S Lin, J Zhang
Advances in Neural Information Processing Systems (NeuIPS) 34, 2021
CL-LSG: Continual Learning via Learnable Sparse Growth
L Yang, S Lin, J Zhang, D Fan
NeurIPS Memory in Artificial and Real Intelligence workshop, 2022
Theory on Forgetting and Generalization of Continual Learning
S Lin, P Ju, Y Liang, N Shroff
ICML 2023, 2023
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication
S Lin, M Dedeoglu, J Zhang
Proceedings of the Twenty-Second International Symposium on Theory …, 2021
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
S Lin, L Yang, Z He, D Fan, J Zhang
2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems …, 2021
Distributed Q-Learning with State Tracking for Multi-agent Networked Control
H Wang, S Lin, H Jafarkhani, J Zhang
AAMAS '21: Proceedings of the 20th International Conference on Autonomous …, 2021
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing
L Yang, S Lin, F Zhang, J Zhang, D Fan
arXiv preprint arXiv:2303.07477, 2023
System identification via meta-learning in linear time-varying environments
S Lin, H Wang, J Zhang
arXiv preprint arXiv:2010.14664, 2020
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
P Ju, S Lin, MS Squillante, Y Liang, NB Shroff
arXiv preprint arXiv:2306.04901, 2023
Continual learning of generative models with limited data: From wasserstein-1 barycenter to adaptive coalescence
M Dedeoglu, S Lin, Z Zhang, J Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
H Wang, S Lin, J Zhang
ICML 2023, 2023
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