Sen Lin

According to our database, Sen Lin authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Theory on Mixture-of-Experts in Continual Learning.

Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff

CoRR, 2024

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning.

Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang

CoRR, 2024

How to Leverage Diverse Demonstrations in Offline Imitation Learning.

Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang

CoRR, 2024

2023

Scheduling Real-Time Wireless Traffic: A Network-Aided Offline Reinforcement Learning Approach.

Jialin Wan, Sen Lin, Zhaofeng Zhang, Junshan Zhang, Tao Zhang

IEEE Internet Things J., 2023

Doubly Robust Instance-Reweighted Adversarial Training.

Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang

CoRR, 2023

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes.

Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff

CoRR, 2023

Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing.

Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan

CoRR, 2023

Algorithm Design for Online Meta-Learning with Task Boundary Detection.

Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang

CoRR, 2023

Non-Convex Bilevel Optimization with Time-Varying Objective Functions.

Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap.

Hang Wang, Sen Lin, Junshan Zhang

Proceedings of the International Conference on Machine Learning, 2023

Theory on Forgetting and Generalization of Continual Learning.

Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff

Proceedings of the International Conference on Machine Learning, 2023

CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning.

Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer.

Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TRGP: Trust Region Gradient Projection for Continual Learning.

Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Model-Based Offline Meta-Reinforcement Learning with Regularization.

Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Federated Learning Based Demand Reshaping for Electric Vehicle Charging.

Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang

Proceedings of the IEEE Global Communications Conference, 2022

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.

Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021

GROWN: GRow Only When Necessary for Continual Learning.

Li Yang, Sen Lin, Junshan Zhang, Deliang Fan

CoRR, 2021

Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence.

Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang

CoRR, 2021

Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback.

Hang Wang, Sen Lin, Junshan Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning.

Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang

Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication.

Sen Lin, Mehmet Dedeoglu, Junshan Zhang

Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning.

Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Distributed Q-Learning with State Tracking for Multi-agent Networked Control.

Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications

Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, Junshan Zhang

Synthesis Lectures on Learning, Networks, and Algorithms, Morgan & Claypool Publishers, ISBN: 978-3-031-02380-4, 2020

Crowdsensing for Spectrum Discovery: A Waze-Inspired Design via Smartphone Sensing.

Sen Lin, Junshan Zhang, Lei Ying

IEEE/ACM Trans. Netw., 2020

System Identification via Meta-Learning in Linear Time-Varying Environments.

Sen Lin, Hang Wang, Junshan Zhang

CoRR, 2020

Data-driven Distributionally Robust Optimization for Edge Intelligence.

Zhaofeng Zhang, Sen Lin, Mehmet Dedeoglu, Kemi Ding, Junshan Zhang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

A Collaborative Learning Framework via Federated Meta-Learning.

Sen Lin, Guang Yang, Junshan Zhang

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2018

Waze-inspired spectrum discovery via smartphone sensing data fusion.

Sen Lin, Junshan Zhang, Lei Ying

Proceedings of the 16th International Symposium on Modeling and Optimization in Mobile, 2018