Xiaofan Zhang
31 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(14)
Natural Language Processing
(14)
Core AI
(13)
Computer Vision
(10)
Deep Learning
(8)
Healthcare & Medicine
(8)
Machine Learning
(8)
Clinical
(8)
Domain-Specific
(7)
Generation
(7)
Applications
(6)
Learning Types
(4)
Resources & Methods
(4)
Analysis
(3)
Application Areas
(3)
Keywords
large language model
(7)
medical imaging
(4)
retrieval-augmented generation
(3)
semantic segmentation
(2)
zero-shot learning
(2)
convolutional neural network
(2)
dialogue generation
(2)
abstractive summarization
(2)
medical consultation
(2)
medical calculator
(2)
vision-language model
(2)
scene understanding
(1)
image segmentation
(1)
density estimation
(1)
natural language processing
(1)
domain adaptation
(1)
image classification
(1)
few-shot learning
(1)
knowledge distillation
(1)
multi-task learning
(1)
Papers
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
AAAI 2026
GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation
AAAI 2026
MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration
ACL 2026
SAR2Net: Learning Spatially Anchored Representations for Retrieval-Guided Cross-Stain Alignment
CVPR 2026
An LLM-based Framework for Biomedical Terminology Normalization in Social Media via Multi-Agent Collaboration
COLING 2025
Interactive Evaluation for Medical LLMs via Task-oriented Dialogue System
COLING 2025
Interactive Segmentation and Report Generation for CT Images
MICCAI 2025
LesionDiffusion: Towards Text-controlled General Lesion Synthesis
MICCAI 2025
MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens
NAACL 2025
MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling
NAACL 2025
Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models
ACL 2025
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
COLING 2025
MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression
ACL 2025
Surgical Action Planning with Large Language Models
MICCAI 2025
SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task
COLING 2025
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
ICLR 2025
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
NeurIPS 2024
GECSum: Generative Evaluation-Driven Sequence Level Contrastive Learning for Abstractive Summarization
COLING 2024
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
MICCAI 2024
IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation
MICCAI 2024
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges
ACL 2024
PathoTune: Adapting Visual Foundation Model to Pathological Specialists
MICCAI 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
NeurIPS 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
CVPR 2024
Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization
ACL 2023
KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation
CVPR 2023
MidMed: Towards Mixed-Type Dialogues for Medical Consultation
ACL 2023
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
CVPR 2019
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
CVPR 2018
Embedding Label Structures for Fine-Grained Feature Representation
CVPR 2016
Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval
CVPR 2015