← Authors

Junzhou Huang

91 papers · 2011–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (15) 🌟 Keyword Trendsetter Combo (8) 🏠 Conference Loyalist (20) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam 🀝 Dynamic Duo (21) πŸ‘₯ Mega-Team (25) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (17) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (355) πŸ’Ž Century Club (89)

Conferences

NIPS (20) AAAI (18) ICML (12) CVPR (9) ICLR (6) ECCV (5) ICCV (5) WACV (5) AISTATS (3) MICCAI (3) IJCAI (2) ACML (1) JMLR (1) MIDL (1)

Top co-authors

Yu Rong (21) Peilin Zhao (18) Tingyang Xu (15) Wenbing Huang (14) Jiaxiang Wu (10) Hehuan Ma (10) Yuzhi Guo (9) Ying Wei (9) Yatao Bian (7) JINYU YANG (7)

Keywords

graph neural network (12) transfer learning (8) unsupervised domain adaptation (5) graph convolutional network (5) model compression (4) weakly supervised learning (4) contrastive learning (4) whole slide image (4) representation learning (4) distributed optimization (3) semantic segmentation (3) convex optimization (3) multiple instance learning (3) adversarial training (3) knowledge distillation (3) few-shot learning (3) multi-label classification (3) adversarial robustness (3) feature alignment (3) knowledge transfer (3)

Papers

GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences AAAI 2026
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks AAAI 2026
DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026
HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics MICCAI 2025
Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis MICCAI 2025
Learning A Unified Template for Gait Recognition ICCV 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization ICLR 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models WACV 2025
Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation ICCV 2025
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction AAAI 2025
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks ECCV 2024
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning MICCAI 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024
MIVC: Multiple Instance Visual Component for Visual-Language Models WACV 2024
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation WACV 2023
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023
Retaining Beneficial Information from Detrimental Data for Neural Network Repair NIPS 2023
Local Augmentation for Graph Neural Networks ICML 2022
Equivariant Graph Mechanics Networks with Constraints ICLR 2022
Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification CVPR 2022
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification CVPR 2022
Vision-Language Pre-Training With Triple Contrastive Learning CVPR 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images ECCV 2022
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification NIPS 2022
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation AAAI 2022
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks AAAI 2022
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures AAAI 2022
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning ICLR 2022
Frustratingly Easy Transferability Estimation ICML 2022
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels AAAI 2021
Hierarchical Graph Capsule Network AAAI 2021
Graph Information Bottleneck for Subgraph Recognition ICLR 2021
Improving Generalization in Meta-learning via Task Augmentation ICML 2021
Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NIPS 2021
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation ICCV 2021
Learning Diverse-Structured Networks for Adversarial Robustness ICML 2021
Context-Aware Domain Adaptation in Semantic Segmentation WACV 2021
On Self-Distilling Graph Neural Network IJCAI 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring AAAI 2021
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning AAAI 2021
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks AAAI 2020
Deep Multimodal Fusion by Channel Exchanging NIPS 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Revisiting Parameter Sharing for Automatic Neural Channel Number Search NIPS 2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist NIPS 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020
Adversarial Sparse Transformer for Time Series Forecasting NIPS 2020
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection AAAI 2020
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020
Graph Few-Shot Learning via Knowledge Transfer AAAI 2020
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses AAAI 2020
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation ECCV 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation ECCV 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification ICLR 2020
Towards Fast Adaptation of Neural Architectures with Meta Learning ICLR 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search ICML 2020
Adversarial Domain Adaptation for Cell Segmentation MIDL 2020
Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019
RaFM: Rank-Aware Factorization Machines ICML 2019
Collaborative Channel Pruning for Deep Networks ICML 2019
Hierarchically Structured Meta-learning ICML 2019
Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation AAAI 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NIPS 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
DTWNet: a Dynamic Time Warping Network NIPS 2019
Graph Convolutional Networks for Temporal Action Localization ICCV 2019
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization ICML 2018
Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018
Weakly Supervised Region Proposal Network and Object Detection ECCV 2018
Adversarial Learning with Local Coordinate Coding ICML 2018
Transfer Learning via Learning to Transfer ICML 2018
Adaptive Sampling Towards Fast Graph Representation Learning NIPS 2018
Deep Multi-instance Learning with Dynamic Pooling ACML 2018
Weakly Supervised Dense Event Captioning in Videos NIPS 2018
End-to-End Learning of Motion Representation for Video Understanding CVPR 2018
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding NIPS 2017
WSISA: Making Survival Prediction From Whole Slide Histopathological Images CVPR 2017
Deep Sparse Representation for Robust Image Registration CVPR 2015
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information IJCAI 2015
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014
Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity CVPR 2014
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model ICCV 2013
Compressive Sensing MRI with Wavelet Tree Sparsity NIPS 2012
Learning with Structured Sparsity JMLR 2011