Waze-inspired spectrum discovery via smartphone sensing data fusion. - Sen Lin 001; Junshan Zhang; Lei Ying 001 (WiOpt, 2018)

A Collaborative Learning Framework via Federated Meta-Learning. - Sen Lin 001; Guang Yang 041; Junshan Zhang (ICDCS, 2020)

Data-driven Distributionally Robust Optimization for Edge Intelligence. - Zhaofeng Zhang; Sen Lin 001; Mehmet Dedeoglu; Kemi Ding; Junshan Zhang (INFOCOM, 2020)

System Identification via Meta-Learning in Linear Time-Varying Environments. - Sen Lin 001; Hang Wang; Junshan Zhang (CoRR, 2020)

Crowdsensing for Spectrum Discovery: A Waze-Inspired Design via Smartphone Sensing. - Sen Lin 001; Junshan Zhang; Lei Ying 001 (IEEE/ACM Trans. Netw., 2020)

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications - Sen Lin 001; Zhi Zhou 006; Zhaofeng Zhang; Xu Chen 004; Junshan Zhang (Edge Intelligence in the Making, 2020)

Distributed Q-Learning with State Tracking for Multi-agent Networked Control. - Hang Wang; Sen Lin 001; Hamid Jafarkhani; Junshan Zhang (AAMAS, 2021)

MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. - Sen Lin 001; Li Yang 009; Zhezhi He; Deliang Fan; Junshan Zhang (MASS, 2021)

Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. - Sen Lin 001; Mehmet Dedeoglu; Junshan Zhang (MobiHoc, 2021)

Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. - Sheng Yue; Ju Ren 001; Jiang Xin; Sen Lin 001; Junshan Zhang (MobiHoc, 2021)

Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback. - Hang Wang; Sen Lin 001; Junshan Zhang (NeurIPS, 2021)

GROWN: GRow Only When Necessary for Continual Learning. - Li Yang 009; Sen Lin 001; Junshan Zhang; Deliang Fan (CoRR, 2021)

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. - Sen Lin 001; Ming Shi 003; Anish Arora; Raef Bassily; Elisa Bertino; Constantine Caramanis; Kaushik R. Chowdhury; Eylem Ekici; Atilla Eryilmaz; Stratis Ioannidis; Nan Jiang 008; Gauri Joshi; et al. (CIC, 2022)

Federated Learning Based Demand Reshaping for Electric Vehicle Charging. - Mehmet Dedeoglu; Sen Lin 001; Zhaofeng Zhang; Junshan Zhang (GLOBECOM, 2022)

Model-Based Offline Meta-Reinforcement Learning with Regularization. - Sen Lin 001; Jialin Wan; Tengyu Xu; Yingbin Liang; Junshan Zhang (ICLR, 2022)

TRGP: Trust Region Gradient Projection for Continual Learning. - Sen Lin 001; Li Yang 009; Deliang Fan; Junshan Zhang (ICLR, 2022)

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. - Sen Lin 001; Li Yang 009; Deliang Fan; Junshan Zhang (NeurIPS, 2022)

CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning. - Sheng Yue; Guanbo Wang; Wei Shao 006; Zhaofeng Zhang; Sen Lin 001; Ju Ren 001; Junshan Zhang (ICLR, 2023)

Theory on Forgetting and Generalization of Continual Learning. - Sen Lin 001; Peizhong Ju; Yingbin Liang; Ness B. Shroff (ICML, 2023)

Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap. - Hang Wang; Sen Lin 001; Junshan Zhang (ICML, 2023)

Non-Convex Bilevel Optimization with Time-Varying Objective Functions. - Sen Lin 001; Daouda Sow; Kaiyi Ji; Yingbin Liang; Ness B. Shroff (NeurIPS, 2023)

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. - Peizhong Ju; Sen Lin 001; Mark S. Squillante; Yingbin Liang; Ness B. Shroff (CoRR, 2023)

Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks. - Yung-Fu Chen; Sen Lin 001; Anish Arora (CoRR, 2023)

Scheduling Real-Time Wireless Traffic: A Network-Aided Offline Reinforcement Learning Approach. - Jialin Wan; Sen Lin 001; Zhaofeng Zhang; Junshan Zhang; Tao Zhang 005 (IEEE Internet Things J., 2023)

Algorithm Design for Online Meta-Learning with Task Boundary Detection. - Daouda Sow; Sen Lin 001; Yingbin Liang; Junshan Zhang (CPAL, 2024)

Doubly Robust Instance-Reweighted Adversarial Training. - Daouda Sow; Sen Lin 001; Zhangyang Wang; Yingbin Liang (ICLR, 2024)

How to Leverage Diverse Demonstrations in Offline Imitation Learning. - Sheng Yue; Jiani Liu 005; Xingyuan Hua; Ju Ren 001; Sen Lin 001; Junshan Zhang; Yaoxue Zhang (ICML, 2024)

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. - Sheng Yue; Xingyuan Hua; Ju Ren 001; Sen Lin 001; Junshan Zhang; Yaoxue Zhang (ICML, 2024)

L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration. - Imran Adham; Hang Wang; Sen Lin 001; Junshan Zhang (MOST, 2024)

Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence. - Mehmet Dedeoglu; Sen Lin 001; Zhaofeng Zhang; Junshan Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

AdaProx: A Novel Method for Bilevel Optimization under Pessimistic Framework. - Ziwei Guan; Daouda Sow; Sen Lin 001; Yingbin Liang (CPAL, 2025)

Theory on Mixture-of-Experts in Continual Learning. - Hongbo Li 008; Sen Lin 001; Lingjie Duan; Yingbin Liang; Ness B. Shroff (ICLR, 2025)

Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer Freezing. - Li Yang 009; Sen Lin 001; Fan Zhang 069; Junshan Zhang; Deliang Fan (ISQED, 2025)

Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. - Junze Deng; Qinhang Wu; Peizhong Ju; Sen Lin 001; Yingbin Liang; Ness B. Shroff (CoRR, 2025)