Xiang Wan
52 papers · 2020–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (92) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(17)
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Keyword Champion
(3)
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Deep Specialist
(12)
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Silver
ποΈ
Keyword Collector
(220)
Venues
Top co-authors
Research topics
Machine Learning
(28)
Artificial Intelligence
(26)
Natural Language Processing
(23)
Core AI
(23)
Deep Learning
(20)
Learning Types Β· Machine Learning
(18)
Computer Vision
(12)
Healthcare & Medicine
(11)
Clinical
(11)
Application Areas
(10)
Learning Types Β· Deep Learning
(10)
Domain-Specific
(9)
Architectures
(8)
Core Methods
(8)
Generation
(7)
Keywords
large language model
(13)
multimodal learning
(9)
medical imaging
(8)
named entity recognition
(7)
domain adaptation
(6)
contrastive learning
(5)
reinforcement learning
(4)
attention mechanism
(3)
graph neural network
(3)
benchmark evaluation
(3)
radiology report
(3)
impression generation
(3)
sequence labeling
(3)
transfer learning
(3)
knowledge distillation
(3)
reinforcement learning from human feedback
(3)
autonomous driving
(2)
cross-modal learning
(2)
syntactic parsing
(2)
deep learning
(2)
Papers
DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction
AAAI 2026
StreamRAG: Enhancing Real-Time Video Understanding with Retrieval Augmentation
CVPR 2026
AdaDrive: Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving
ICCV 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
Atoxia: Red-teaming Large Language Models with Target Toxic Answers
NAACL 2025
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
ACL 2025
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training
AAAI 2025
GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
MICCAI 2025
Huatuo-26M, a Large-scale Chinese Medical QA Dataset
NAACL 2025
M3L: A Multi-Modal and Multi-Lingual Depression Detection Framework
Interspeech 2025
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
NAACL 2025
Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond
MICCAI 2025
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
ACL 2025
Unlocking LLMsβ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
ACL 2025
VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving
ICCV 2025
AceGPT, Localizing Large Language Models in Arabic
NAACL 2024
Cell Graph Transformer for Nuclei Classification
AAAI 2024
CMB: A Comprehensive Medical Benchmark in Chinese
NAACL 2024
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator
ACL 2024
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
MICCAI 2024
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
EMNLP 2024
UniCell: Universal Cell Nucleus Classification via Prompt Learning
AAAI 2024
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games
NeurIPS 2024
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
CVPR 2023
Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection
ICCV 2023
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
AAAI 2023
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
ICCV 2023
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition
AAAI 2023
HuatuoGPT, Towards Taming Language Model to Be a Doctor
EMNLP 2023
Improving Grammatical Error Correction with Multimodal Feature Integration
ACL 2023
Improving Radiology Summarization with Radiograph and Anatomy Prompts
ACL 2023
One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems
ACL 2023
On the Difference of BERT-style and CLIP-style Text Encoders
ACL 2023
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities
ACL 2023
Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts
ICCV 2023
A Label-Aware Autoregressive Framework for Cross-Domain NER
NAACL 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
NeurIPS 2022
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
ACL 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
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration
ECCV 2022
Cross-modal Memory Networks for Radiology Report Generation
ACL 2021
Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
ACL 2021
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts
NAACL 2021
Field Embedding: A Unified Grain-Based Framework for Word Representation
NAACL 2021
Relation Extraction with Type-aware Map Memories of Word Dependencies
ACL 2021
Word Graph Guided Summarization for Radiology Findings
ACL 2021
Generating Radiology Reports via Memory-driven Transformer
EMNLP 2020
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
EMNLP 2020
Named Entity Recognition for Social Media Texts with Semantic Augmentation
EMNLP 2020