ML Anthology

Yang, Lin

112 publications

ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models Through Evolving Interactions Between Samples Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao
NeurIPS 2025 Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Lin Yang, Tianyi Zhang, Anshumali Shrivastava, Vladimir Braverman
CVPR 2025 CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology Yuxuan Sun, Yixuan Si, Chenglu Zhu, Xuan Gong, Kai Zhang, Pingyi Chen, Ye Zhang, Zhongyi Shui, Tao Lin, Lin Yang
NeurIPS 2025 CPathAgent: An Agent-Based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic Yuxuan Sun, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Bowen Ding, Tao Lin, Lin Yang
NeurIPS 2025 Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms Ziwei Li, Bo Sun, Zhiqiu Zhang, Mohammad Hajiesmaili, Binghan Wu, Lin Yang, Yang Gao
NeurIPS 2025 Deployment Efficient Reward-Free Exploration with Linear Function Approximation Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Lin Yang, Ruosong Wang
NeurIPS 2025 Distributed Multi-Agent Bandits over Erdős-Rényi Random Networks Jingyuan Liu, Hao Qiu, Lin Yang, Mengfan Xu
ICLRW 2025 ECG-Nest-FM: A Frequency-Focused ECG Foundation Model with Nested Embeddings Abhishek Sharma, Lin Yang, Cory Y McLean, Justin Cosentino, Farhad I Hormozdiari
NeurIPS 2025 Federated Multi-Armed Bandits with Efficient Bit-Level Communications Haoran Zhang, Yang Xu, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin Yang, Yang Gao
ICML 2025 Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning Yiran Wang, Chenshu Liu, Yunfan Li, Sanae Amani, Bolei Zhou, Lin Yang
ICLR 2025 Large-Scale and Fine-Grained Vision-Language Pre-Training for Enhanced CT Image Understanding Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang
NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen
ICLR 2025 Misspecified $q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Ally Yalei Du, Lin Yang, Ruosong Wang
UAI 2025 Near-Optimal Regret Bounds for Federated Multi-Armed Bandits with Fully Distributed Communication Haoran Zhang, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin Yang, Yang Gao
NeurIPS 2025 Near-Optimal Sample Complexity for Online Constrained MDPs Chang Liu, Yunfan Li, Lin Yang
ICLRW 2025 NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models Lawrence Ray Liu, Inesh Chakrabarti, Yixiao Li, Mengdi Wang, Tuo Zhao, Lin Yang
ICLR 2025 PathGen-1.6m: 1.6 Million Pathology Image-Text Pairs Generation Through Multi-Agent Collaboration Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Jingxiong Li, Xuan Gong, Xinheng Lyu, Tao Lin, Lin Yang
NeurIPS 2025 PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization Honglin Li, Zhongyi Shui, Yunlong Zhang, Chenglu Zhu, Lin Yang
ICLR 2025 Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds Michael Chen, A. Pavan, N. V. Vinodchandran, Ruosong Wang, Lin Yang
NeurIPS 2025 SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models Pingyi Chen, Yujing Lou, Shen Cao, Jinhui Guo, Lubin Fan, Yue Wu, Lin Yang, Lizhuang Ma, Jieping Ye
NeurIPS 2025 Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design Yunfan Li, Eric Liu, Lin Yang
ICML 2025 Transfer Q-Learning with Composite MDP Structures Jinhang Chai, Elynn Chen, Lin Yang
NeurIPS 2025 VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-Bit Diffusion Transformers QinkaiXu, Yijin Liu, YangChen, Lin Yang, Li Li, Yuxiang Fu
ECCV 2024 Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification Yunlong Zhang, Honglin Li, Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Lin Yang
AAAI 2024 DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang
AISTATS 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
NeurIPSW 2024 Misspecified $q$ -Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Ally Yalei Du, Lin Yang, Ruosong Wang
ICMLW 2024 Misspecified $q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Ally Yalei Du, Lin Yang, Ruosong Wang
AISTATS 2024 Multi-Agent Bandit Learning Through Heterogeneous Action Erasure Channels Osama A Hanna, Merve Karakas, Lin Yang, Christina Fragouli
AISTATS 2024 On the Model-Misspecification in Reinforcement Learning Yunfan Li, Lin Yang
AAAI 2024 PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang
ECCV 2024 PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang
NeurIPS 2024 Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis Honglin Li, Yunlong Zhang, Pingyi Chen, Zhongyi Shui, Chenglu Zhu, Lin Yang
ICMLW 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin Yang
ECCV 2024 Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation Zhongyi Shui, Yunlong Zhang, Kai Yao, Chenglu Zhu, Sunyi Zheng, Jingxiong Li, Honglin Li, Yuxuan Sun, Ruizhe Guo, Lin Yang
ECCV 2024 WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering Pingyi Chen, Chenglu Zhu, Sunyi Zheng, Honglin Li, Lin Yang
ICLR 2023 Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui
COLT 2023 Contexts Can Be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms Osama A Hanna, Lin Yang, Christina Fragouli
ICML 2023 Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost Sanae Amani, Tor Lattimore, András György, Lin Yang
ICML 2023 Does Sparsity Help in Learning Misspecified Linear Bandits? Jialin Dong, Lin Yang
NeurIPS 2023 Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination Osama Hanna, Lin Yang, Christina Fragouli
NeurIPS 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
UAI 2023 Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-Agent Bandits? Xuchuang Wang, Lin Yang, Yu-zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui
ICML 2023 Horizon-Free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds Shengshi Li, Lin Yang
ICML 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang
AISTATS 2023 On-Demand Communication for Asynchronous Multi-Agent Bandits Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
ICLR 2023 Provably Efficient Lifelong Reinforcement Learning with Linear Representation Sanae Amani, Lin Yang, Ching-An Cheng
NeurIPS 2023 Replicability in Reinforcement Learning Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou
NeurIPS 2023 Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
CVPR 2023 Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang, Sunyi Zheng, Lin Yang
AISTATS 2022 Gap-Dependent Unsupervised Exploration for Reinforcement Learning Jingfeng Wu, Vladimir Braverman, Lin Yang
AISTATS 2022 Solving Multi-Arm Bandit Using a Few Bits of Communication Osama A. Hanna, Lin Yang, Christina Fragouli
CVPR 2022 Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images Huisi Wu, Zhaoze Wang, Youyi Song, Lin Yang, Jing Qin
AAAI 2022 Explainable Survival Analysis with Convolution-Involved Vision Transformer Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng
NeurIPSW 2022 From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Teresa Huang, Soledad Villar, Carey Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman
AAAI 2022 Hybrid Curriculum Learning for Emotion Recognition in Conversation Lin Yang, Yi Shen, Yue Mao, Longjun Cai
NeurIPS 2022 Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context Osama Hanna, Lin Yang, Christina Fragouli
ICLR 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang
NeurIPS 2022 Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani, Lin Yang, Csaba Szepesvari
ICML 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar
NeurIPS 2022 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning Dingwen Kong, Lin Yang
AISTATS 2021 Q-Learning with Logarithmic Regret Kunhe Yang, Lin Yang, Simon Du
NeurIPS 2021 Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning Jingfeng Wu, Vladimir Braverman, Lin Yang
NeurIPS 2021 Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang
NeurIPS 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
NeurIPS 2021 On the Value of Interaction and Function Approximation in Imitation Learning Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran
ICML 2021 Provably Correct Optimization and Exploration with Non-Linear Policies Fei Feng, Wotao Yin, Alekh Agarwal, Lin Yang
ICML 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang
ICML 2021 Safe Reinforcement Learning with Linear Function Approximation Sanae Amani, Christos Thrampoulidis, Lin Yang
NeurIPS 2020 Adversarial Bandits with Corruptions: Regret Lower Bound and No-Regret Algorithm Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi, John C. S. Lui, Wing Shing Wong
AAAI 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen
NeurIPS 2020 Is Long Horizon RL More Difficult than Short Horizon RL? Ruosong Wang, Simon S Du, Lin Yang, Sham Kakade
NeurIPS 2020 Is Plug-in Solver Sample-Efficient for Feature-Based Reinforcement Learning? Qiwen Cui, Lin Yang
AAAI 2020 Loss-Based Attention for Deep Multiple Instance Learning Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang
NeurIPS 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang, Sham Kakade, Tamer Basar, Lin Yang
ICML 2020 Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub, Zeyu Jia, Csaba Szepesvari, Mengdi Wang, Lin Yang
L4DC 2020 Model-Based Reinforcement Learning with Value-Targeted Regression Zeyu Jia, Lin Yang, Csaba Szepesvari, Mengdi Wang
ICML 2020 Nearly Linear Row Sampling Algorithm for Quantile Regression Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang
ICML 2020 Obtaining Adjustable Regularization for Free via Iterate Averaging Jingfeng Wu, Vladimir Braverman, Lin Yang
NeurIPS 2020 On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang, Simon S Du, Lin Yang, Ruslan Salakhutdinov
NeurIPS 2020 Planning with General Objective Functions: Going Beyond Total Rewards Ruosong Wang, Peilin Zhong, Simon S Du, Ruslan Salakhutdinov, Lin Yang
NeurIPS 2020 Preference-Based Reinforcement Learning with Finite-Time Guarantees Yichong Xu, Ruosong Wang, Lin Yang, Aarti Singh, Artur Dubrawski
NeurIPS 2020 Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning Fei Feng, Ruosong Wang, Wotao Yin, Simon S Du, Lin Yang
ICML 2020 Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin Yang, Mengdi Wang
NeurIPS 2020 Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang, Ruslan Salakhutdinov, Lin Yang
AISTATS 2020 Sketching Transformed Matrices with Applications to Natural Language Processing Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang
AISTATS 2020 Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity Aaron Sidford, Mengdi Wang, Lin Yang, Yinyu Ye
NeurIPS 2020 Toward the Fundamental Limits of Imitation Learning Nived Rajaraman, Lin Yang, Jiantao Jiao, Kannan Ramchandran
AAAI 2019 A New Ensemble Learning Framework for 3D Biomedical Image Segmentation Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
AAAI 2019 Biomedical Image Segmentation via Representative Annotation Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
NeurIPS 2019 Efficient Symmetric Norm Regression via Linear Sketching Zhao Song, Ruosong Wang, Lin Yang, Hongyang Zhang, Peilin Zhong
AISTATS 2019 On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition Zhehui Chen, Xingguo Li, Lin Yang, Jarvis Haupt, Tuo Zhao
UAI 2019 Online Factorization and Partition of Complex Networks by Random Walk Lin Yang, Zheng Yu, Vladimir Braverman, Tuo Zhao, Mengdi Wang
ICML 2019 Sample-Optimal Parametric Q-Learning Using Linearly Additive Features Lin Yang, Mengdi Wang
ICMLW 2019 SuperTML: Domain Transfer from Computer Vision to Structured Tabular Data Through Two-Dimensional Word Embedding Baohua Sun, Lin Yang, Wenhan Zhang, Michael Lin, Patrick Dong, Charles Young, Jason Dong
CVPRW 2019 SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data Baohua Sun, Lin Yang, Wenhan Zhang, Michael Lin, Patrick Dong, Charles Young, Jason Dong
NeurIPS 2018 Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization Minshuo Chen, Lin Yang, Mengdi Wang, Tuo Zhao
ICML 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order Vladimir Braverman, Stephen Chestnut, Robert Krauthgamer, Yi Li, David Woodruff, Lin Yang
NeurIPS 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model Aaron Sidford, Mengdi Wang, Xian Wu, Lin Yang, Yinyu Ye
NeurIPS 2018 The Physical Systems Behind Optimization Algorithms Lin Yang, Raman Arora, Vladimir Braverman, Tuo Zhao
CVPRW 2018 Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, Charles Young
AAAI 2017 Asymmetric Discrete Graph Hashing Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang
CVPR 2017 MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang
NeurIPS 2017 On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning Xingguo Li, Lin Yang, Jason Ge, Jarvis Haupt, Tong Zhang, Tuo Zhao
NeurIPS 2016 Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation Jianxu Chen, Lin Yang, Yizhe Zhang, Mark Alber, Danny Z Chen
ECCV 2016 Kernel-Based Supervised Discrete Hashing for Image Retrieval Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang
CVPR 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
CVPR 2015 Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang
CVPR 2011 Robust Tracking Using Local Sparse Appearance Model and K-Selection Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski
ECCV 2010 Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir A. Kulikowski
CVPR 2008 3D Ultrasound Tracking of the Left Ventricle Using One-Step Forward Prediction and Data Fusion of Collaborative Trackers Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu
CVPR 2007 Multiple Class Segmentation Using a Unified Framework over Mean-Shift Patches Lin Yang, Peter Meer, David J. Foran