Lin, Qian

20 publications

ICML 2025 Conservative Offline Goal-Conditioned Implicit V-Learning Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu

NeurIPS 2025 Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations Yuqian Cheng, Zhuo Chen, Qian Lin

AAAI 2025 Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding

JMLR 2025 Optimal Rates of Kernel Ridge Regression Under Source Condition in Large Dimensions Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

NeurIPS 2024 An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning Qian Lin, Zongkai Liu, Danying Mo, Chao Yu

CVPRW 2024 GRIB: Combining Global Reception and Inductive Bias for Human Segmentation and Matting Yezhi Shen, Weichen Xu, Qian Lin, Jan P. Allebach, Fengqing Zhu

NeurIPS 2024 Improving Adaptivity via Over-Parameterization in Sequence Models Yicheng Li, Qian Lin

ICLR 2024 Off-Policy Primal-Dual Safe Reinforcement Learning Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

JMLR 2024 On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin

NeurIPS 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory Guhan Chen, Yicheng Li, Qian Lin

JMLR 2024 On the Optimality of Misspecified Spectral Algorithms Haobo Zhang, Yicheng Li, Qian Lin

NeurIPS 2024 On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin

ICLR 2024 The Optimality of Kernel Classifiers in Sobolev Space Jianfa Lai, Zhifan Li, Dongming Huang, Qian Lin

NeurIPS 2023 On the Asymptotic Learning Curves of Kernel Ridge Regression Under Power-Law Decay Yicheng Li, Haobo Zhang, Qian Lin

ICML 2023 On the Optimality of Misspecified Kernel Ridge Regression Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

ICLR 2023 On the Saturation Effect of Kernel Ridge Regression Yicheng Li, Haobo Zhang, Qian Lin

ICML 2023 Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

AAAI 2022 A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin, Hwee Tou Ng

WACV 2022 Re-Compose the Image by Evaluating the Crop on More than Just a Score Yang Cheng, Qian Lin, Jan P. Allebach

WACV 2020 Print Defect Mapping with Semantic Segmentation Augusto Valente, Cristina Wada, Deangela Neves, Deangeli Neves, Fabio Perez, Guilherme Megeto, Marcos Cascone, Otavio Gomes, Qian Lin