Junzhou Huang

papers

1,076

total citations

papers (22)

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

ECCV 2020arXiv

citations

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

ECCV 2022arXiv

citations

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

NEURIPS 2025arXiv

citations

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

AAAI 2025arXiv

citations

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

ICLR 2025arXiv

citations

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery

NEURIPS 2021

citations

Retaining Beneficial Information from Detrimental Data for Neural Network Repair

NEURIPS 2023

citations

Adversarial Sparse Transformer for Time Series Forecasting

NEURIPS 2020

citations

Revisiting Parameter Sharing for Automatic Neural Channel Number Search

NEURIPS 2020

citations

Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation

ICCV 2025

citations

Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification

CVPR 2022

citations

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification

NEURIPS 2022

citations

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification

CVPR 2022

citations

Learning A Unified Template for Gait Recognition

ICCV 2025

citations

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

NEURIPS 2021

citations

Junzhou Huang

papers (22)

Vision-Language Pre-Training With Triple Contrastive Learning

Deep Multimodal Fusion by Channel Exchanging

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation

Dirichlet Graph Variational Autoencoder

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery

Retaining Beneficial Information from Detrimental Data for Neural Network Repair

Adversarial Sparse Transformer for Time Series Forecasting

Revisiting Parameter Sharing for Automatic Neural Channel Number Search

Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation

Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification

Learning A Unified Template for Gait Recognition

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

papers (22)

Vision-Language Pre-Training With Triple Contrastive Learning

Deep Multimodal Fusion by Channel Exchanging

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation

Dirichlet Graph Variational Autoencoder

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery

Retaining Beneficial Information from Detrimental Data for Neural Network Repair

Adversarial Sparse Transformer for Time Series Forecasting

Revisiting Parameter Sharing for Automatic Neural Channel Number Search

Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation

Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification

Learning A Unified Template for Gait Recognition

Not All Low-Pass Filters are Robust in Graph Convolutional Networks