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Xiang Wan

54 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (10)
🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (98) 🀝 Dynamic Duo (19) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (53) πŸ—ƒοΈ Keyword Collector (211) ⚑ Prolific Year (7) πŸš€ Conference Pioneer

Conferences

ACL (15) NAACL (10) EMNLP (7) AAAI (6) ICCV (5) IJCNLP (4) MICCAI (3) NIPS (2) CVPR (1) ECCV (1)

Papers

DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction AAAI 2026 Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond MICCAI 2025 GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images MICCAI 2025 VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving ICCV 2025 Atoxia: Red-teaming Large Language Models with Target Toxic Answers NAACL 2025 Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation ACL 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025 MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria NAACL 2025 AdaDrive: Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving ICCV 2025 Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training AAAI 2025 Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs ACL 2025 CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis ACL 2025 Huatuo-26M, a Large-scale Chinese Medical QA Dataset NAACL 2025 Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale EMNLP 2024 UniCell: Universal Cell Nucleus Classification via Prompt Learning AAAI 2024 Cell Graph Transformer for Nuclei Classification AAAI 2024 PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator ACL 2024 AceGPT, Localizing Large Language Models in Arabic NAACL 2024 Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development MICCAI 2024 CMB: A Comprehensive Medical Benchmark in Chinese NAACL 2024 WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games NIPS 2024 Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts ICCV 2023 EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition AAAI 2023 A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER AAAI 2023 One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems ACL 2023 Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities ACL 2023 Improving Grammatical Error Correction with Multimodal Feature Integration ACL 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023 On the Difference of BERT-style and CLIP-style Text Encoders ACL 2023 Advancing Visual Grounding With Scene Knowledge: Benchmark and Method CVPR 2023 HuatuoGPT, Towards Taming Language Model to Be a Doctor EMNLP 2023 Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection ICCV 2023 Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation ICCV 2023 A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction ACL 2022 Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration ECCV 2022 AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation NIPS 2022 Graph Enhanced Contrastive Learning for Radiology Findings Summarization ACL 2022 Hero-Gang Neural Model For Named Entity Recognition NAACL 2022 Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction NAACL 2022 A Label-Aware Autoregressive Framework for Cross-Domain NER NAACL 2022 Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks ACL 2021 Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks IJCNLP 2021 Cross-modal Memory Networks for Radiology Report Generation IJCNLP 2021 Relation Extraction with Type-aware Map Memories of Word Dependencies IJCNLP 2021 Word Graph Guided Summarization for Radiology Findings IJCNLP 2021 Field Embedding: A Unified Grain-Based Framework for Word Representation NAACL 2021 Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts NAACL 2021 Word Graph Guided Summarization for Radiology Findings ACL 2021 Relation Extraction with Type-aware Map Memories of Word Dependencies ACL 2021 Cross-modal Memory Networks for Radiology Report Generation ACL 2021 Named Entity Recognition for Social Media Texts with Semantic Augmentation EMNLP 2020 Generating Radiology Reports via Memory-driven Transformer EMNLP 2020 Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information EMNLP 2020