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ORCIDSen 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
![[0000-0002-8150-1477]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8150-1477")
— OURS Technology Inc., Santa Clara, USA - Sen Lin 0003 — Shenyang Ligong University, Shenyang, China
- Sen Lin 0004 — Beijing Jiaotong University, Beijing, China
- Sen Lin 0005 — Shanghai Jiao Tong University, Shanghai, China
- Sen Lin 0006 — University of Electronic Science and Technology of China, Chengdu, China
- Sen Lin 0007 — Shenzhen Polytechnic, Shenzhen, China (and 1 more)
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2020 – today
- 2024
[j3]Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang:
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, Sen Lin, Zhaofeng Zhang, Junshan Zhang, Tao Zhang:
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, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang:
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, 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:
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, Junshan Zhang, Lei Ying:
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, Mehmet Dedeoglu, Kemi Ding, Junshan Zhang:
Data-driven Distributionally Robust Optimization for Edge Intelligence. INFOCOM 2020: 2619-2628 - [i6]Sen Lin, Guang Yang, Junshan Zhang:
A Collaborative Learning Framework via Federated Meta-Learning. CoRR abs/2001.03229 (2020) - [i5]Sen Lin, Hang Wang, Junshan Zhang:
System Identification via Meta-Learning in Linear Time-Varying Environments. CoRR abs/2010.14664 (2020) - [i4]Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR abs/2011.12511 (2020) - [i3]Sen Lin, Mehmet Dedeoglu, Junshan Zhang:
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, Junshan Zhang:
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. CoRR abs/2012.08677 (2020) - [i1]Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang:
Distributed Q-Learning with State Tracking for Multi-agent Networked Control. CoRR abs/2012.12383 (2020)
2010 – 2019
- 2018
- [c1]Sen Lin, Junshan Zhang, Lei Ying:
Waze-inspired spectrum discovery via smartphone sensing data fusion. WiOpt 2018: 1-8
Coauthor Index
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last updated on 2024-10-21 20:30 CEST by the dblp team
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