← Authors

Xian Wu

88 papers · 2009–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (5) πŸ† Grand Slam 🀝 Dynamic Duo (37) πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (4) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (387) πŸ”₯ Unstoppable (8) ❓ The Questioner (2) πŸ’Ž Century Club (83)

Conferences

AAAI (15) EMNLP (14) ACL (12) NIPS (11) COLING (10) IJCAI (6) NAACL (5) MICCAI (4) CVPR (3) ICML (3) IJCNLP (3) ICLR (1) INTERSPEECH (1)

Top co-authors

Yefeng Zheng (37) Shen Ge (20) Fenglin Liu (15) Zhihong Zhu (14) Yunyan Zhang (10) Huimin Wang (10) Wei Fan (10) Zhenxi Lin (9) Ziheng Zhang (9) Yutian Zhao (9)

Keywords

large language model (17) multimodal learning (11) attention mechanism (8) contrastive learning (7) knowledge graph (6) question answering (6) representation learning (5) image captioning (5) adversarial attack (4) multi-modal learning (4) deep reinforcement learning (4) medical report generation (4) reinforcement learning (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

MGD:Mesh-guided Gaussians with Diffusion Priors for Dynamic Objects Reconstruction from Monocular RGB-D Video AAAI 2026
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation AAAI 2026
SΒ³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection AAAI 2026
CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding AAAI 2026
Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception AAAI 2026
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
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice NAACL 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
A Layered Debating Multi-Agent System for Similar Disease Diagnosis NAACL 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
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models ACL 2025
AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning ACL 2025
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs ACL 2025
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs COLING 2025
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency MICCAI 2025
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation CVPR 2025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models EMNLP 2025
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering EMNLP 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis EMNLP 2025
CMedCalc-Bench: A Fine-Grained Benchmark for Chinese Medical Calculations in LLM EMNLP 2025
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows EMNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs EMNLP 2025
A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers EMNLP 2025
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding EMNLP 2025
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
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey NIPS 2024
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation MICCAI 2024
Knowledge-aware Attention Network for Medication Effectiveness Prediction COLING 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation ICML 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NIPS 2024
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal AAAI 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 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
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning EMNLP 2024
imapScore: Medical Fact Evaluation Made Easy ACL 2024
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection EMNLP 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
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds IJCAI 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024
Soft-Label Integration for Robust Toxicity Classification NIPS 2024
Relation-aware Ensemble Learning for Knowledge Graph Embedding EMNLP 2023
Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation EMNLP 2023
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning ACL 2023
StateMask: Explaining Deep Reinforcement Learning through State Mask NIPS 2023
Multi-modal Contrastive Representation Learning for Entity Alignment COLING 2022
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis COLING 2022
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model NAACL 2022
Towards Joint Intent Detection and Slot Filling via Higher-order Attention IJCAI 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions NIPS 2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations NIPS 2022
Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback NAACL 2022
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021
EDGE: Explaining Deep Reinforcement Learning Policies NIPS 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation NIPS 2021
U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention AAAI 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation ACL 2021
Contrastive Attention for Automatic Chest X-ray Report Generation ACL 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning ACL 2021
Adversarial Policy Learning in Two-player Competitive Games ICML 2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 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
Prophet Attention: Predicting Attention with Future Attention NIPS 2020
Federated Learning for Vision-and-Language Grounding Problems AAAI 2020
On the Generation of Medical Question-Answer Pairs AAAI 2020
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data AAAI 2020
PSENet: Psoriasis Severity Evaluation Network AAAI 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms NIPS 2020
Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training INTERSPEECH 2020
Automated Relational Meta-learning ICLR 2020
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests COLING 2020
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction IJCAI 2019
Multi-grained Named Entity Recognition ACL 2019
Local Density Estimation in High Dimensions ICML 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
Interpretable Video Captioning via Trajectory Structured Localization CVPR 2018
Domain Adaptation with Latent Semantic Association for Named Entity Recognition NAACL 2009