Lin Yang
103 papers · 2015–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 28 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Lin Yang?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Sanae Amani, Yunfan Li, Yiran Wang
6 papers
· 2021–2025
· ICML, AISTATS, ICLR
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Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning
ICML 2025
On the Model-Misspecification in Reinforcement Learning
AISTATS 2024
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
ICML 2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
ICML 2023
Provably Efficient Lifelong Reinforcement Learning with Linear Representation
ICLR 2023
Safe Reinforcement Learning with Linear Function Approximation
ICML 2021
19 papers whose co-authors appear nowhere else under this name
ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following
ACL 2026
Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor
CVPR 2026
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
ICML 2025
CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
MICCAI 2025
Transfer Q-Learning with Composite MDP Structures
ICML 2025
LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification
ACL 2024
Does Sparsity Help in Learning Misspecified Linear Bandits?
ICML 2023
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds
ICML 2023
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models
ACL 2023
Replicability in Reinforcement Learning
NeurIPS 2023
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images
CVPR 2022
Explainable Survival Analysis with Convolution-Involved Vision Transformer
AAAI 2022
Hybrid Curriculum Learning for Emotion Recognition in Conversation
AAAI 2022
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
NeurIPS 2022
Q-learning with Logarithmic Regret
AISTATS 2021
The LeVoice Far-Field Speech Recognition System for VOiCES from a Distance Challenge 2019
Interspeech 2019
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
CVPR 2018
Super Characters: A Conversion from Sentiment Classification to Image Classification
EMNLP 2018
Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval
CVPR 2015