Xiang Wan

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

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (98) 🤝 Dynamic Duo (19) 🏆 Keyword Champion (2) 🔬 Deep Specialist (11) 🧬 Topic Evolution 🔥 Unstoppable (6) 💎 Century Club (53) 🗃️ Keyword Collector (211) ⚡ Prolific Year (7) 🚀 Conference Pioneer

Conferences

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

Top co-authors

Zhihong Chen (19) Jinpeng Hu (14) Tsung-Hui Chang (13) Benyou Wang (12) Yan Song (12) Guanbin Li (10) Anningzhe Gao (9) Junying Chen (8) Yang Liu (7) Yuanhe Tian (7)

Keywords

large language model (13) medical imaging (9) multimodal learning (8) named entity recognition (7) domain adaptation (6) contrastive learning (5) reinforcement learning (4) attention mechanism (4) impression generation (3) benchmark evaluation (3) memory network (3) reinforcement learning from human feedback (3) relation extraction (3) cross-modal learning (3) radiology report (3) sequence labeling (3) transfer learning (3) knowledge distillation (3) graph convolutional network (3) graph neural network (3)

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