Sen Lin - RankMe

62 papers A* 14A 2B 6C 1Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Constraint-Rectified Training for Efficient Chain-of-Thought. CoRR Qinhang Wu, Sen Lin, Ming Zhang, Yingbin Liang, Ness B. Shroff
2026	J	`jnl`	HIPO: Instruction Hierarchy via Constrained Reinforcement Learning. CoRR Keru Chen, Jun Luo, Sen Lin, Yingbin Liang, Alvaro Velasquez, Nathaniel Bastian, Shaofeng Zou
2026	J	`jnl`	Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation. CoRR Pei-Chi Pan, Yingbin Liang, Sen Lin
2025	—	`conf`	AdaProx: A Novel Method for Bilevel Optimization under Pessimistic Framework. CPAL Ziwei Guan, Daouda Sow, Sen Lin, Yingbin Liang
2025	—	`conf`	Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer Freezing. ISQED Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
2025	C	`conf`	Knowledge-Guided Machine Learning for Stabilizing Near-Shortest Path Routing. SSS Yung-Fu Chen, Sen Lin, Anish Arora
2025	J	`jnl`	Knowledge-Guided Machine Learning for Stabilizing Near-Shortest Path Routing. CoRR Yung-Fu Chen, Sen Lin, Anish Arora
2025	J	`jnl`	Mixture-of-Transformers Learn Faster: A Theoretical Study on Classification Problems. CoRR Hongbo Li, Qinhang Wu, Sen Lin, Yingbin Liang, Ness B. Shroff
2025	A*	`conf`	Theory on Mixture-of-Experts in Continual Learning. ICLR Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff
2025	A*	`conf`	Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. ICML Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness B. Shroff
2025	J	`jnl`	Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. CoRR Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness B. Shroff
2025	B	`conf`	World-Model-Based Adaptive Network Slicing. GLOBECOM Hanchu Zhou, Sen Lin, Weiwei Wang, Dechen Gao, Junshan Zhang
2024	—	`conf`	Algorithm Design for Online Meta-Learning with Task Boundary Detection. CPAL Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang
2024	J	`jnl`	Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence. IEEE Trans. Neural Networks Learn. Syst. Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang
2024	A*	`conf`	Doubly Robust Instance-Reweighted Adversarial Training. ICLR Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
2024	A*	`conf`	How to Leverage Diverse Demonstrations in Offline Imitation Learning. ICML Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang
2024	J	`jnl`	How to Leverage Diverse Demonstrations in Offline Imitation Learning. CoRR Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang
2024	—	`conf`	L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration. MOST Imran Adham, Hang Wang, Sen Lin, Junshan Zhang
2024	A*	`conf`	OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. ICML Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang
2024	J	`jnl`	OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. CoRR Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang
2024	J	`jnl`	Theory on Mixture-of-Experts in Continual Learning. CoRR Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff
2023	J	`jnl`	Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback. CoRR Hang Wang, Sen Lin, Junshan Zhang
2023	J	`jnl`	Algorithm Design for Online Meta-Learning with Task Boundary Detection. CoRR Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang
2023	A*	`conf`	CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning. ICLR Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang
2023	J	`jnl`	CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning. CoRR Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang
2023	J	`jnl`	Doubly Robust Instance-Reweighted Adversarial Training. CoRR Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
2023	J	`jnl`	Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing. CoRR Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
2023	J	`jnl`	Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. CoRR Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff
2023	J	`jnl`	Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks. CoRR Yung-Fu Chen, Sen Lin, Anish Arora
2023	A*	`conf`	Non-Convex Bilevel Optimization with Time-Varying Objective Functions. NeurIPS Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff
2023	J	`jnl`	Non-Convex Bilevel Optimization with Time-Varying Objective Functions. CoRR Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff
2023	J	`jnl`	Scheduling Real-Time Wireless Traffic: A Network-Aided Offline Reinforcement Learning Approach. IEEE Internet Things J. Jialin Wan, Sen Lin, Zhaofeng Zhang, Junshan Zhang, Tao Zhang
2023	A*	`conf`	Theory on Forgetting and Generalization of Continual Learning. ICML Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff
2023	J	`jnl`	Theory on Forgetting and Generalization of Continual Learning. CoRR Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff
2023	A*	`conf`	Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap. ICML Hang Wang, Sen Lin, Junshan Zhang
2023	J	`jnl`	Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap. CoRR Hang Wang, Sen Lin, Junshan Zhang
2022	A*	`conf`	Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. NeurIPS Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. CoRR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	B	`conf`	Federated Learning Based Demand Reshaping for Electric Vehicle Charging. GLOBECOM Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 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
2022	A*	`conf`	Model-Based Offline Meta-Reinforcement Learning with Regularization. ICLR Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang
2022	J	`jnl`	Model-Based Offline Meta-Reinforcement Learning with Regularization. CoRR Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang
2022	A*	`conf`	TRGP: Trust Region Gradient Projection for Continual Learning. ICLR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	TRGP: Trust Region Gradient Projection for Continual Learning. CoRR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2021	B	`conf`	Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. MobiHoc Sen Lin, Mehmet Dedeoglu, Junshan Zhang
2021	A*	`conf`	Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback. NeurIPS Hang Wang, Sen Lin, Junshan Zhang
2021	J	`jnl`	Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence. CoRR Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang
2021	A	`conf`	Distributed Q-Learning with State Tracking for Multi-agent Networked Control. AAMAS Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang
2021	J	`jnl`	GROWN: GRow Only When Necessary for Continual Learning. CoRR Li Yang, Sen Lin, Junshan Zhang, Deliang Fan
2021	B	`conf`	Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. MobiHoc Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang
2021	B	`conf`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2020	A	`conf`	A Collaborative Learning Framework via Federated Meta-Learning. ICDCS Sen Lin, Guang Yang, Junshan Zhang
2020	J	`jnl`	A Collaborative Learning Framework via Federated Meta-Learning. CoRR Sen Lin, Guang Yang, Junshan Zhang
2020	J	`jnl`	Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. CoRR Sen Lin, Mehmet Dedeoglu, Junshan Zhang
2020	J	`jnl`	Crowdsensing for Spectrum Discovery: A Waze-Inspired Design via Smartphone Sensing. IEEE/ACM Trans. Netw. Sen Lin, Junshan Zhang, Lei Ying
2020	A*	`conf`	Data-driven Distributionally Robust Optimization for Edge Intelligence. INFOCOM Zhaofeng Zhang, Sen Lin, Mehmet Dedeoglu, Kemi Ding, Junshan Zhang
2020	J	`jnl`	Distributed Q-Learning with State Tracking for Multi-agent Networked Control. CoRR Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang
2020	—	`book`	Edge Intelligence in the Making: Optimization, Deep Learning, and Applications Edge Intelligence in the Making Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, Junshan Zhang
2020	J	`jnl`	Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. CoRR Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang
2020	J	`jnl`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2020	J	`jnl`	System Identification via Meta-Learning in Linear Time-Varying Environments. CoRR Sen Lin, Hang Wang, Junshan Zhang
2018	B	`conf`	Waze-inspired spectrum discovery via smartphone sensing data fusion. WiOpt Sen Lin, Junshan Zhang, Lei Ying