Lanfen Lin
教授
Works on medical image processing, big-data analysis, recommender systems and data mining.
Lanfen Lin's lab at Zhejiang works on medical image analysis, recommendation, search & web and data management & big data. 77 papers since 2023, 21 at top venues, mostly MICCAI and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 20/ year
- at T1 venues
- 27%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 17 papers2026 · T1 2 · collecting
- 12 papers2025 · T1 6
- 19 papers2024 · T1 5
- 29 papers2023 · T1 8
T1 venuesOtherVenues: MICCAI, AAAI, ACM MM, CVPR, ICASSP
Research focuspaper titles that use each topic's words
- Medical image analysis32 papers
- Data management & big data4 papers
- Recommendation, search & web0 papers
- big-data analysis0 papers
- big-data0 papers
Paper list
From DBLP.
202617 papers
- NeurocomputingAn improved multi-instance learning model with clinical-guided cross-attention for postoperative early recurrence prediction of hepatocellular carcinoma using histopathological images (opens in a new tab)
- DisplaysDepressionLLM: Emotion- and causality-aware depression detection with foundation models (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Disentangled Multimodal Tuning and Interaction for Human Perception Understanding (opens in a new tab)
- IEEE Trans. Medical ImagingEICSeg: Universal Medical Image Segmentation via Explicit In-Context Learning (opens in a new tab)
- ACM Trans. Comput. Heal.Enhancing Depression Detection Using Pretrained Multi-modal Sentiment Analysis Models with Deep Prefix Tuning (opens in a new tab)
- DisplaysGEKD: A graph-enhanced knowledge discriminator for universal improvements in medical image synthesis (opens in a new tab)
- Biomed. Signal Process. Control.Integrating text and medical images for segmentation using interpretable graph neural network (opens in a new tab)
- CVPR (T1)Language-guided Frequency Modulation for Large Vision-Language Models (opens in a new tab)
- DisplaysMHG-Adapter: A parameter-efficient multimodal hypergraph adapter for text-driven medical image segmentation (opens in a new tab)
- IEEE J. Biomed. Health InformaticsMultimodal Graph Learning With Multi-Hypergraph Reasoning Networks for Focal Liver Lesion Classification in Multimodal Magnetic Resonance Imaging (opens in a new tab)
- Pattern RecognitionOne framework to rule them all: Unifying multimodal tasks with LLM neural-tuning (opens in a new tab)
- DisplaysRetrieval-augmented multimodal deep learning for interpretable lung nodule malignancy prediction (opens in a new tab)
202512 papers
- MICCAI (T1)Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction (opens in a new tab)
- ACM MMEIR-SDG: Explore Invariant Representation for Single-source Domain Generalization in Medical Image Segmentation (opens in a new tab)
- ICASSP (T1)Enhanced Multimodal Depression Detection With Emotion Prompts (opens in a new tab)
- ICMEEPIC: Efficient Prompt Interaction for Text-Image Classification (opens in a new tab)
- AAAI (T1)M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images (opens in a new tab)
- ACM Trans. Comput. Heal.Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images (opens in a new tab)
- TAFFCMultimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning (opens in a new tab)
- MICCAI (T1)PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation (opens in a new tab)
- ICCV (T1)Region-Aware Anchoring Mechanism for Efficient Referring Visual Grounding (opens in a new tab)
- IEEE J. Biomed. Health InformaticsSAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data (opens in a new tab)
- MICCAI (T1)TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration (opens in a new tab)
- ECAITriple-Prompt Controllable Diffusion for Universal Data Augmentation in Medical Image Segmentation (opens in a new tab)
202419 papers
- MICCAI (T1)A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation (opens in a new tab)
- EMBCA Sentiment Pre-trained Text-Guided Multimodal Cross-Attention Transformer for Improved Depression Detection (opens in a new tab)
- IEICE Trans. Inf. Syst.An Intra- and Inter-Emotion Transformer-Based Fusion Model with Homogeneous and Diverse Constraints Using Multi-Emotional Audiovisual Features for Depression Detection (opens in a new tab)
- EMBCBiologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer (opens in a new tab)
- AAAI (T1)Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation (opens in a new tab)
- ACCV WorkshopDeterministic Guided Progressive Medical Image Cross-Modal Generation Based on Deep Learning (opens in a new tab)
- ISBIFPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation (opens in a new tab)
- EMBCGANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images (opens in a new tab)
- CVPR (T1)Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models (opens in a new tab)
- ICASSP (T1)IRLSG: Invariant Representation Learning for Single-Domain Generalization in Medical Image Segmentation (opens in a new tab)
- GCCEk-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging (opens in a new tab)
- IEEE Trans. Multim.Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization (opens in a new tab)
202329 papers
- IEICE Trans. Inf. Syst.3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation (opens in a new tab)
- Computer-Aided DiagnosisA hybrid model of deep learning features and clinical features for severe cases predication of COVID-19 (opens in a new tab)
- GCCEA Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI (opens in a new tab)
- IEEE J. Biomed. Health InformaticsAdaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation (opens in a new tab)
- AAAI (T1)ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation (opens in a new tab)
- MedInfoCMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma (opens in a new tab)
- TKDE (T1)Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization (opens in a new tab)
- EMBCContrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask (opens in a new tab)
- IJCV (T1)Domain-Specific Bias Filtering for Single Labeled Domain Generalization (opens in a new tab)
- NeurIPS (T1)HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception (opens in a new tab)
- ACM MMHSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification (opens in a new tab)
- ACM Trans. Knowl. Discov. DataInstrumental Variable-Driven Domain Generalization with Unobserved Confounders (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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