← Authors

Lin Yang

100 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (28) 🧬 Topic Evolution πŸ”¬ Deep Specialist (22) 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter ❓ The Questioner (4) ⚑ Prolific Year (19) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (57) πŸ’Ž Century Club (97) πŸ”₯ Unstoppable (11)

Conferences

NIPS (28) ICML (17) AAAI (11) AISTATS (10) CVPR (10) ICLR (7) ECCV (4) MICCAI (3) UAI (3) ACL (2) COLT (1) EMNLP (1) INTERSPEECH (1) L4DC (1) MIDL (1)

Top co-authors

Chenglu Zhu (14) Zhongyi Shui (11) Ruosong Wang (10) Yuxuan Sun (10) Honglin Li (10) Yunlong Zhang (10) Mengdi Wang (9) Sunyi Zheng (9) Zizhao Zhang (6) Jingxiong Li (6)

Keywords

regret bound (20) sample complexity (14) reinforcement learning (12) markov decision process (7) fully convolutional network (5) linear bandit (5) deep learning (5) stochastic optimization (5) multi-armed bandit (5) function approximation (4) model-based reinforcement learning (4) eluder dimension (4) whole slide image (4) linear function approximation (4) online learning (4) image segmentation (4) value function approximation (3) unsupervised learning (3) distributed learning (3) semi-supervised learning (3)

Papers

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images AAAI 2026
AΒ²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators AAAI 2026
MIRA: Evaluating Multimodal AI on Complex Clinical Reasoning in Interventional Radiology AAAI 2026
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds ICLR 2025
CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding MICCAI 2025
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning ICML 2025
Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error ICLR 2025
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration ICLR 2025
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology CVPR 2025
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding ICLR 2025
Transfer Q-Learning with Composite MDP Structures ICML 2025
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples ICML 2025
Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication UAI 2025
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification MICCAI 2025
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation ECCV 2024
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis NIPS 2024
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images MICCAI 2024
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification ECCV 2024
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology AAAI 2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection AAAI 2024
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification ACL 2024
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology ECCV 2024
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering ECCV 2024
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits ICLR 2023
Provably Efficient Lifelong Reinforcement Learning with Linear Representation ICLR 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NIPS 2023
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds NIPS 2023
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination NIPS 2023
Replicability in Reinforcement Learning NIPS 2023
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? UAI 2023
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits AISTATS 2023
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms COLT 2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023
Does Sparsity Help in Learning Misspecified Linear Bandits? ICML 2023
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost ICML 2023
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification CVPR 2023
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022
Hybrid Curriculum Learning for Emotion Recognition in Conversation AAAI 2022
Explainable Survival Analysis with Convolution-Involved Vision Transformer AAAI 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NIPS 2022
Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context NIPS 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs NIPS 2022
Gap-Dependent Unsupervised Exploration for Reinforcement Learning AISTATS 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images CVPR 2022
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs NIPS 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NIPS 2021
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback NIPS 2021
On the Value of Interaction and Function Approximation in Imitation Learning NIPS 2021
Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Safe Reinforcement Learning with Linear Function Approximation ICML 2021
Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021
Q-learning with Logarithmic Regret AISTATS 2021
On Reward-Free Reinforcement Learning with Linear Function Approximation NIPS 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NIPS 2020
Toward the Fundamental Limits of Imitation Learning NIPS 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NIPS 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NIPS 2020
Is Long Horizon RL More Difficult Than Short Horizon RL? NIPS 2020
Planning with General Objective Functions: Going Beyond Total Rewards NIPS 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees NIPS 2020
Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm NIPS 2020
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning NIPS 2020
Loss-Based Attention for Deep Multiple Instance Learning AAAI 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020
Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity AISTATS 2020
Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020
Nearly Linear Row Sampling Algorithm for Quantile Regression ICML 2020
Obtaining Adjustable Regularization for Free via Iterate Averaging ICML 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020
Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019
The LeVoice Far-Field Speech Recognition System for VOiCES from a Distance Challenge 2019 INTERSPEECH 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation MIDL 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019
Biomedical Image Segmentation via Representative Annotation AAAI 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019
Efficient Symmetric Norm Regression via Linear Sketching NIPS 2019
Online Factorization and Partition of Complex Networks by Random Walk UAI 2019
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018
Super Characters: A Conversion from Sentiment Classification to Image Classification EMNLP 2018
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network CVPR 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation CVPR 2018
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network CVPR 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NIPS 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
The Physical Systems Behind Optimization Algorithms NIPS 2018
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network CVPR 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning NIPS 2017
SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation NIPS 2016
Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval CVPR 2015