Junzhou Huang

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