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Xian Wu

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

Achievements

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+15 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (14) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (13)
🌍 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) ACL (15) EMNLP (14) NIPS (11) COLING (10) IJCAI (6) NAACL (5) MICCAI (4) CVPR (3) ICML (3) IJCNLP (3) ICLR (1) INTERSPEECH (1)

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