Xian Wu
91 papers · 2009–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (13)
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Academic Marathon
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(5)
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Dynamic Duo
(37)
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(4)
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Prolific Year
(9)
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(387)
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(8)
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(2)
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Century Club
(83)
Conferences
AAAI (15)
ACL (15)
EMNLP (14)
NIPS (11)
COLING (10)
IJCAI (6)
NAACL (5)
MICCAI (4)
CVPR (3)
ICML (3)
IJCNLP (3)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Keywords
large language model
(19)
multimodal learning
(11)
attention mechanism
(8)
contrastive learning
(7)
knowledge graph
(6)
question answering
(6)
representation learning
(5)
image captioning
(5)
adversarial attack
(4)
deep reinforcement learning
(4)
multi-modal learning
(4)
reinforcement learning
(4)
medical report generation
(4)
adversarial learning
(3)
benchmark evaluation
(3)
vision language model
(3)
medical imaging
(3)
named entity recognition
(3)
transfer learning
(3)
knowledge distillation
(3)
Papers
Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation
ACL 2026
CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding
AAAI 2026
SΒ³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection
AAAI 2026
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
AAAI 2026
Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization
ACL 2026
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
ACL 2026
Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception
AAAI 2026
MGD:Mesh-guided Gaussians with Diffusion Priors for Dynamic Objects Reconstruction from Monocular RGB-D Video
AAAI 2026
A Layered Debating Multi-Agent System for Similar Disease Diagnosis
NAACL 2025
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
MICCAI 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
MICCAI 2025
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM
MICCAI 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
AAAI 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding
EMNLP 2025
A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers
EMNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows
EMNLP 2025
CMedCalc-Bench: A Fine-Grained Benchmark for Chinese Medical Calculations in LLM
EMNLP 2025
A Survey on Foundation Language Models for Single-cell Biology
ACL 2025
Training-free LLM Merging for Multi-task Learning
ACL 2025
Model Merging for Knowledge Editing
ACL 2025
AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning
ACL 2025
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models
ACL 2025
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
ACL 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
EMNLP 2025
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
EMNLP 2025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
EMNLP 2025
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
NAACL 2025
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs
COLING 2025
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
CVPR 2025
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
IJCAI 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
NIPS 2024
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
NIPS 2024
Soft-Label Integration for Robust Toxicity Classification
NIPS 2024
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal
AAAI 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
imapScore: Medical Fact Evaluation Made Easy
ACL 2024
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics
COLING 2024
Biomedical Entity Linking as Multiple Choice Question Answering
COLING 2024
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning
COLING 2024
Knowledge-aware Attention Network for Medication Effectiveness Prediction
COLING 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis
COLING 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
COLING 2024
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
EMNLP 2024
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
EMNLP 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
EMNLP 2024
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models
EMNLP 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
ICML 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing
IJCAI 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
IJCAI 2024
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
MICCAI 2024
Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation
EMNLP 2023
Relation-aware Ensemble Learning for Knowledge Graph Embedding
EMNLP 2023
StateMask: Explaining Deep Reinforcement Learning through State Mask
NIPS 2023
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
ACL 2023
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis
COLING 2022
Multi-modal Contrastive Representation Learning for Entity Alignment
COLING 2022
Towards Joint Intent Detection and Slot Filling via Higher-order Attention
IJCAI 2022
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model
NAACL 2022
Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback
NAACL 2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
NIPS 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
NIPS 2022
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
NIPS 2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
IJCAI 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
ACL 2021
EDGE: Explaining Deep Reinforcement Learning Policies
NIPS 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
IJCNLP 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
IJCNLP 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
IJCNLP 2021
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention
AAAI 2021
U-BERT: Pre-training User Representations for Improved Recommendation
AAAI 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
CVPR 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
ACL 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
ACL 2021
Adversarial Policy Learning in Two-player Competitive Games
ICML 2021
Automated Relational Meta-learning
ICLR 2020
Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training
INTERSPEECH 2020
Prophet Attention: Predicting Attention with Future Attention
NIPS 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
NIPS 2020
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
AAAI 2020
PSENet: Psoriasis Severity Evaluation Network
AAAI 2020
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
COLING 2020
On the Generation of Medical Question-Answer Pairs
AAAI 2020
Federated Learning for Vision-and-Language Grounding Problems
AAAI 2020
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction
IJCAI 2019
Multi-grained Named Entity Recognition
ACL 2019
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
NIPS 2018
Local Density Estimation in High Dimensions
ICML 2018
Interpretable Video Captioning via Trajectory Structured Localization
CVPR 2018
Domain Adaptation with Latent Semantic Association for Named Entity Recognition
NAACL 2009