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Sen Lin 0001
Person information
- affiliation: University of Houston, Department of Computer Science, Houston, TX, USA
- affiliation (Ph.D.): Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Sen Lin — disambiguation page
- Sen Lin 0002
— OURS Technology Inc., Santa Clara, USA
- Sen Lin 0003
- Sen Lin 0004
- Sen Lin 0005
- Sen Lin 0006 — University of Electronic Science and Technology of China, Chengdu, China
- Sen Lin 0007
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2020 – today
- 2024
- [j3]Mehmet Dedeoglu
Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12042-12056 (2024) - [c21]Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang:
Doubly Robust Instance-Reweighted Adversarial Training. ICLR 2024 - [c20]Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang:
How to Leverage Diverse Demonstrations in Offline Imitation Learning. ICML 2024 - [c19]Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang:
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. ICML 2024 - [c18]Imran Adham, Hang Wang, Sen Lin, Junshan Zhang:
L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration. MOST 2024: 178-185 - [i24]Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang:
How to Leverage Diverse Demonstrations in Offline Imitation Learning. CoRR abs/2405.17476 (2024) - [i23]Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang:
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. CoRR abs/2405.17477 (2024) - [i22]Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff:
Theory on Mixture-of-Experts in Continual Learning. CoRR abs/2406.16437 (2024) - 2023
- [j2]Jialin Wan
Scheduling Real-Time Wireless Traffic: A Network-Aided Offline Reinforcement Learning Approach. IEEE Internet Things J. 10(24): 22331-22340 (2023) - [c17]Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang:
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning. ICLR 2023 - [c16]Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Theory on Forgetting and Generalization of Continual Learning. ICML 2023: 21078-21100 - [c15]Hang Wang, Sen Lin, Junshan Zhang:
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap. ICML 2023: 35989-36019 - [c14]Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff:
Non-Convex Bilevel Optimization with Time-Varying Objective Functions. NeurIPS 2023 - [i21]Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang:
Algorithm Design for Online Meta-Learning with Task Boundary Detection. CoRR abs/2302.00857 (2023) - [i20]Sheng Yue, Guanbo Wang
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning. CoRR abs/2302.04782 (2023) - [i19]Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Theory on Forgetting and Generalization of Continual Learning. CoRR abs/2302.05836 (2023) - [i18]Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan:
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing. CoRR abs/2303.07477 (2023) - [i17]Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff:
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. CoRR abs/2306.04901 (2023) - [i16]Hang Wang, Sen Lin, Junshan Zhang:
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap. CoRR abs/2306.11271 (2023) - [i15]Hang Wang, Sen Lin, Junshan Zhang:
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback. CoRR abs/2306.11918 (2023) - [i14]Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang:
Doubly Robust Instance-Reweighted Adversarial Training. CoRR abs/2308.00311 (2023) - [i13]Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff:
Non-Convex Bilevel Optimization with Time-Varying Objective Functions. CoRR abs/2308.03811 (2023) - [i12]Yung-Fu Chen, Sen Lin, Anish Arora:
Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks. CoRR abs/2308.09829 (2023) - 2022
- [c13]Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c12]Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang:
Federated Learning Based Demand Reshaping for Electric Vehicle Charging. GLOBECOM 2022: 4941-4946 - [c11]Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang:
Model-Based Offline Meta-Reinforcement Learning with Regularization. ICLR 2022 - [c10]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
TRGP: Trust Region Gradient Projection for Continual Learning. ICLR 2022 - [c9]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. NeurIPS 2022 - [i11]Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang:
Model-Based Offline Meta-Reinforcement Learning with Regularization. CoRR abs/2202.02929 (2022) - [i10]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
TRGP: Trust Region Gradient Projection for Continual Learning. CoRR abs/2202.02931 (2022) - [i9]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. CoRR abs/2211.00789 (2022) - 2021
- [c8]Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang:
Distributed Q-Learning with State Tracking for Multi-agent Networked Control. AAMAS 2021: 1692-1694 - [c7]Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS 2021: 164-172 - [c6]Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang:
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. MobiHoc 2021: 91-100 - [c5]Sen Lin, Mehmet Dedeoglu, Junshan Zhang:
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. MobiHoc 2021: 261-270 - [c4]Hang Wang, Sen Lin, Junshan Zhang:
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback. NeurIPS 2021: 24778-24790 - [i8]Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang:
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence. CoRR abs/2101.09225 (2021) - [i7]Li Yang, Sen Lin, Junshan Zhang, Deliang Fan:
GROWN: GRow Only When Necessary for Continual Learning. CoRR abs/2110.00908 (2021) - 2020
- [b1]Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, Junshan Zhang:
Edge Intelligence in the Making: Optimization, Deep Learning, and Applications. Synthesis Lectures on Learning, Networks, and Algorithms, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01252-5 - [j1]Sen Lin
Crowdsensing for Spectrum Discovery: A Waze-Inspired Design via Smartphone Sensing. IEEE/ACM Trans. Netw. 28(2): 750-763 (2020) - [c3]Sen Lin, Guang Yang, Junshan Zhang:
A Collaborative Learning Framework via Federated Meta-Learning. ICDCS 2020: 289-299 - [c2]Zhaofeng Zhang, Sen Lin
Data-driven Distributionally Robust Optimization for Edge Intelligence. INFOCOM 2020: 2619-2628 - [i6]Sen Lin
A Collaborative Learning Framework via Federated Meta-Learning. CoRR abs/2001.03229 (2020) - [i5]Sen Lin
System Identification via Meta-Learning in Linear Time-Varying Environments. CoRR abs/2010.14664 (2020) - [i4]Sen Lin
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR abs/2011.12511 (2020) - [i3]Sen Lin
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. CoRR abs/2012.08660 (2020) - [i2]Sheng Yue, Ju Ren, Jiang Xin, Sen Lin
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. CoRR abs/2012.08677 (2020) - [i1]Hang Wang, Sen Lin
Distributed Q-Learning with State Tracking for Multi-agent Networked Control. CoRR abs/2012.12383 (2020)
2010 – 2019
- 2018
- [c1]Sen Lin
Waze-inspired spectrum discovery via smartphone sensing data fusion. WiOpt 2018: 1-8
Coauthor Index
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last updated on 2024-12-19 22:13 CET by the dblp team
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