Lanfen Lin
17 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(15)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🚀
Conference Pioneer
🗃️
Keyword Collector
(55)
Top co-authors
Research topics
Computer Vision
(11)
Deep Learning
(8)
Machine Learning
(7)
Architectures
(7)
Analysis
(6)
Artificial Intelligence
(4)
Domain-Specific
(4)
Learning Types · Machine Learning
(4)
Core AI · Artificial Intelligence
(3)
Healthcare & Medicine
(2)
Core AI · Computer Vision
(2)
Learning Types · Deep Learning
(2)
Processing
(2)
Application Areas
(1)
Clinical
(1)
Keywords
medical image segmentation
(4)
vision transformer
(3)
semantic segmentation
(3)
semi-supervised learning
(3)
multi-task learning
(2)
vision-language model
(2)
person re-identification
(1)
attention mechanism
(1)
manifold learning
(1)
medical imaging
(1)
boundary detection
(1)
multimodal learning
(1)
optimal transport
(1)
human pose estimation
(1)
visual grounding
(1)
object detection
(1)
visual reasoning
(1)
referring expression
(1)
scene understanding
(1)
representation learning
(1)
Papers
Language-guided Frequency Modulation for Large Vision-Language Models
CVPR 2026
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models
AAAI 2026
Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction
MICCAI 2025
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
AAAI 2025
PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
MICCAI 2025
Region-aware Anchoring Mechanism for Efficient Referring Visual Grounding
ICCV 2025
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
MICCAI 2025
A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation
MICCAI 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
AAAI 2024
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
CVPR 2024
LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation
MICCAI 2024
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
AAAI 2023
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
NeurIPS 2023
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation
CVPR 2023
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
IJCAI 2023
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation
IJCAI 2022
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution
ICCV 2021