Xian Wu

papers

752

total citations

papers (16)

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

CVPR 2021arXiv

345

citations

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

NEURIPS 2021arXiv

127

citations

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

NEURIPS 2022arXiv

citations

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms

NEURIPS 2020arXiv

citations

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

AAAI 2025arXiv

citations

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

AAAI 2024arXiv

citations

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

AAAI 2025arXiv

citations

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

NEURIPS 2025arXiv

citations

RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation

ICML 2024arXiv

citations

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation

CVPR 2025

citations

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

NEURIPS 2022

citations

StateMask: Explaining Deep Reinforcement Learning through State Mask

NEURIPS 2023

citations

Prophet Attention: Predicting Attention with Future Attention

NEURIPS 2020

citations

Xian Wu

papers (16)

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation

CellVerse: Do Large Language Models Really Understand Cell Biology?

GPO: Learning from Critical Steps to Improve LLM Reasoning

EDGE: Explaining Deep Reinforcement Learning Policies

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

StateMask: Explaining Deep Reinforcement Learning through State Mask

Prophet Attention: Predicting Attention with Future Attention

papers (16)

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation

CellVerse: Do Large Language Models Really Understand Cell Biology?

GPO: Learning from Critical Steps to Improve LLM Reasoning

EDGE: Explaining Deep Reinforcement Learning Policies

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

StateMask: Explaining Deep Reinforcement Learning through State Mask

Prophet Attention: Predicting Attention with Future Attention