| 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 | 88* | 2020 |
| TRGP: Trust Region Gradient Projection for Continual Learning S Lin, L Yang, D Fan, J Zhang International Conference on Learning Representations (ICLR), 2022 | 35 | 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 | 30 | 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 | 19 | 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 | 16* | 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 | 12 | 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 | 11 | 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 | 10 | 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 | 10 | 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 | 9 | 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 | 7* | 2022 |
| Theory on Forgetting and Generalization of Continual Learning S Lin, P Ju, Y Liang, N Shroff ICML 2023, 2023 | 5 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 3 | 2023 |
| System identification via meta-learning in linear time-varying environments S Lin, H Wang, J Zhang arXiv preprint arXiv:2010.14664, 2020 | 2 | 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 | 1 | 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 | 1 | 2023 |
| Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap H Wang, S Lin, J Zhang ICML 2023, 2023 | 1 | 2023 |
Li YangAssistant Professor (CS), University of North Carolina at CharlotteVerified email at uncc.edu
