Junzhou Huang

Orcid: 0000-0002-9548-1227

Affiliations:
  • University of Texas at Arlington, Arlington, TX, USA


According to our database1, Junzhou Huang authored at least 366 papers between 2003 and 2024.

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Bibliography

2024
Structure-Aware DropEdge Toward Deep Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Evaluation Method of the Impact of Twin Shield Tunneling Construction on Elevated Bridges: Case Study.
Symmetry, September, 2024

Recognizing Predictive Substructures With Subgraph Information Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Solving the non-submodular network collapse problems via Decision Transformer.
Neural Networks, 2024

Toward Robust Self-Training Paradigm for Molecular Prediction Tasks.
J. Comput. Biol., 2024

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models.
CoRR, 2024

NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data.
CoRR, 2024

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
CoRR, 2024

Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment.
CoRR, 2024

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models.
CoRR, 2024

Distribution-Free Fair Federated Learning with Small Samples.
CoRR, 2024

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation.
CoRR, 2024

GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity.
Briefings Bioinform., 2024

MIVC: Multiple Instance Visual Component for Visual-Language Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Natural Language-Assisted Multi-modal Medication Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge.
IEEE Trans. Knowl. Data Eng., May, 2023

NuSegDA: Domain adaptation for nuclei segmentation.
Frontiers Big Data, January, 2023

Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions.
Trans. Mach. Learn. Res., 2023

Finding Critical Users in Social Communities via Graph Convolutions.
IEEE Trans. Knowl. Data Eng., 2023

Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Merging nucleus datasets by correlation-based cross-training.
Medical Image Anal., 2023

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images.
Medical Image Anal., 2023

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval.
Medical Image Anal., 2023

Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss.
J. Comput. Biol., 2023

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks.
CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR, 2023

Curriculum Graph Poisoning.
Proceedings of the ACM Web Conference 2023, 2023

TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Retaining Beneficial Information from Detrimental Data for Neural Network Repair.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Unsupervised Multispectral Image Registration Network for Skin Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Pareto-aware Neural Architecture Generation for Diverse Computational Budgets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.
Nat. Mac. Intell., October, 2022

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning.
Genom. Proteom. Bioinform., October, 2022

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads.
IEEE Trans. Neural Networks Learn. Syst., 2022

Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images.
IEEE Trans. Medical Imaging, 2022

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., 2022

Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.
Proc. VLDB Endow., 2022

Structure-aware conditional variational auto-encoder for constrained molecule optimization.
Pattern Recognit., 2022

Graph Convolutional Module for Temporal Action Localization in Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Discrimination-Aware Network Pruning for Deep Model Compression.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Accurate and Compact Architectures via Neural Architecture Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving Generative Adversarial Networks With Local Coordinate Coding.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Transformer-based unsupervised contrastive learning for histopathological image classification.
Medical Image Anal., 2022

Blood-brain barrier penetration prediction enhanced by uncertainty estimation.
J. Cheminformatics, 2022

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction.
CoRR, 2022

Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training.
CoRR, 2022

Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction.
CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022

DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup.
CoRR, 2022

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.
CoRR, 2022

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs.
CoRR, 2022

Boost Test-Time Performance with Closed-Loop Inference.
CoRR, 2022

Transformer for Graphs: An Overview from Architecture Perspective.
CoRR, 2022

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift.
CoRR, 2022

Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction.
CoRR, 2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations.
CoRR, 2022

Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform., 2022

Cross-dependent graph neural networks for molecular property prediction.
Bioinform., 2022

Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-supervised Pre-training for Nuclei Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Local Augmentation for Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Frustratingly Easy Transferability Estimation.
Proceedings of the International Conference on Machine Learning, 2022

Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant Graph Mechanics Networks with Constraints.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images.
Proceedings of the Computer Vision - ECCV 2022, 2022

Vision-Language Pre-Training with Triple Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust self-training strategy for various molecular biology prediction tasks.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

MoDNA: motif-oriented pre-training for DNA language model.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Online Adaptive Asymmetric Active Learning With Limited Budgets.
IEEE Trans. Knowl. Data Eng., 2021

Disturbance-immune weight sharing for neural architecture search.
Neural Networks, 2021

EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction.
J. Comput. Biol., 2021

Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning.
J. Comput. Biol., 2021

Molecular graph enhanced transformer for retrosynthesis prediction.
Neurocomputing, 2021

Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation.
Int. J. Comput. Vis., 2021

RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction.
CoRR, 2021

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis.
CoRR, 2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning.
CoRR, 2021

Local Augmentation for Graph Neural Networks.
CoRR, 2021

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels.
CoRR, 2021

Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations.
CoRR, 2021

Learning Graphon Autoencoders for Generative Graph Modeling.
CoRR, 2021

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models.
CoRR, 2021

tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement.
CoRR, 2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.
CoRR, 2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.
CoRR, 2021

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation.
CoRR, 2021

Diversified Multiscale Graph Learning with Graph Self-Correction.
CoRR, 2021

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets.
CoRR, 2021

MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm.
Briefings Bioinform., 2021

Graph Ordering: Towards the Optimal by Learning.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Context-Aware Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Not All Low-Pass Filters are Robust in Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

On Self-Distilling Graph Neural Network.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Improving Generalization in Meta-learning via Task Augmentation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Meta-learning Hyperparameter Performance Prediction with Neural Processes.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Diverse-Structured Networks for Adversarial Robustness.
Proceedings of the 38th International Conference on Machine Learning, 2021

Graph Information Bottleneck for Subgraph Recognition.
Proceedings of the 9th International Conference on Learning Representations, 2021

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Expectation-Maximization by SQL in RDBMS.
Proceedings of the Database Systems for Advanced Applications, 2021

Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Spectral Graph Attention Network with Fast Eigen-approximation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Gradient-Norm Based Attentive Loss for Molecular Property Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Hierarchical Graph Capsule Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding.
IEEE Trans. Knowl. Data Eng., 2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.
IEEE Trans. Image Process., 2020

50 FPS Object-Level Saliency Detection via Maximally Stable Region.
IEEE Trans. Image Process., 2020

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.
Medical Image Anal., 2020

Nonparametric Topic Modeling with Neural Inference.
Neurocomputing, 2020

Dirichlet Graph Variational Autoencoder.
CoRR, 2020

Microscope Based HER2 Scoring System.
CoRR, 2020

Tackling Over-Smoothing for General Graph Convolutional Networks.
CoRR, 2020

Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning.
CoRR, 2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?
CoRR, 2020

GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data.
CoRR, 2020

Dual Message Passing Neural Network for Molecular Property Prediction.
CoRR, 2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.
CoRR, 2020

Spectral Graph Attention Network.
CoRR, 2020

Joint Wasserstein Distribution Matching.
CoRR, 2020

Graph Ordering: Towards the Optimal by Learning.
CoRR, 2020

Graph Representation Learning via Graphical Mutual Information Maximization.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adversarial Attack on Community Detection by Hiding Individuals.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction.
Proceedings of the Research in Computational Molecular Biology, 2020

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Sparse Transformer for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Multimodal Fusion by Channel Exchanging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Revisiting Parameter Sharing for Automatic Neural Channel Number Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Graph Transformer on Large-Scale Molecular Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dirichlet Graph Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Domain Adaptation for Cell Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

TranSlider: Transfer Ensemble Learning from Exploitation to Exploration.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Deep Graph Learning: Foundations, Advances and Applications.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Supervised Augmentation: Leverage Strong Annotation for Limited Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search.
Proceedings of the 37th International Conference on Machine Learning, 2020

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification.
Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Fast Adaptation of Neural Architectures with Meta Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Few-Shot Learning via Knowledge Transfer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adaptive Cost-Sensitive Online Classification.
IEEE Trans. Knowl. Data Eng., 2019

Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Medical Image Anal., 2019

Transferable Neural Processes for Hyperparameter Optimization.
CoRR, 2019

The General Black-box Attack Method for Graph Neural Networks.
CoRR, 2019

The Truly Deep Graph Convolutional Networks for Node Classification.
CoRR, 2019

Unsupervised Adversarial Graph Alignment with Graph Embedding.
CoRR, 2019

Adversarial Representation Learning on Large-Scale Bipartite Graphs.
CoRR, 2019

Semi-supervised Learning with Contrastive Predicative Coding.
CoRR, 2019

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
CoRR, 2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
Proceedings of the World Wide Web Conference, 2019

Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hyperparameter Learning via Distributional Transfer.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NAT: Neural Architecture Transformer for Accurate and Compact Architectures.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DTWNet: a Dynamic Time Warping Network.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Facial Image-to-Video Translation by a Hidden Affine Transformation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Multi-instance Learning for Survival Prediction from Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Graph Convolutional Nets for Tool Presence Detection in Surgical Videos.
Proceedings of the Information Processing in Medical Imaging, 2019

Hierarchically Structured Meta-learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Collaborative Channel Pruning for Deep Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

RaFM: Rank-Aware Factorization Machines.
Proceedings of the 36th International Conference on Machine Learning, 2019

Graph Convolutional Networks for Temporal Action Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Progressive Feature Alignment for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Complexities in Projection-Free Stochastic Non-convex Minimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

An Efficient Approach to Informative Feature Extraction from Multimodal Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation.
IEEE Signal Process. Lett., 2018

Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Hierarchical Sparse Representation for Robust Image Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction.
Neuroinformatics, 2018

An efficient algorithm for dynamic MRI using low-rank and total variation regularizations.
Medical Image Anal., 2018

Fast iteratively reweighted least squares algorithms for analysis-based sparse reconstruction.
Medical Image Anal., 2018

A simple primal-dual algorithm for nuclear norm and total variation regularization.
Neurocomputing, 2018

Hyperparameter Learning via Distributional Transfer.
CoRR, 2018

Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss.
CoRR, 2018

On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches.
CoRR, 2018

Nonparametric Topic Modeling with Neural Inference.
CoRR, 2018

Online Compact Convexified Factorization Machine.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Session introduction.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Discrimination-aware Channel Pruning for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adaptive Sampling Towards Fast Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Weakly Supervised Dense Event Captioning in Videos.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Group-Driven Reinforcement Learning for Personalized mHealth Intervention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Graph CNN for Survival Analysis on Whole Slide Pathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Transfer Learning via Learning to Transfer.
Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Learning with Local Coordinate Coding.
Proceedings of the 35th International Conference on Machine Learning, 2018

Weakly Supervised Region Proposal Network and Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion.
Proceedings of the Database Systems for Advanced Applications, 2018

End-to-End Learning of Motion Representation for Video Understanding.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Deep Multi-instance Learning with Dynamic Pooling.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Adaptive Graph Convolutional Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cell Detection with Deep Learning Accelerated by Sparse Kernel.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Guest Editorial: Special issue on advances in computing techniques for big medical image data.
Neurocomputing, 2017

TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion.
Neurocomputing, 2017

Robust Contextual Bandit via the Capped-$\ell_{2}$ norm.
CoRR, 2017

Learning Graph While Training: An Evolving Graph Convolutional Neural Network.
CoRR, 2017

Group-driven Reinforcement Learning for Personalized mHealth Intervention.
CoRR, 2017

Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention.
CoRR, 2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Correlational Learning for Survival Prediction from Multi-modality Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

WSISA: Making Survival Prediction from Whole Slide Histopathological Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Adaptive Proximal Average Approximation for Composite Convex Minimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Scalable histopathological image analysis via supervised hashing with multiple features.
Medical Image Anal., 2016

Imaging Biomarker Discovery for Lung Cancer Survival Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Detecting 10, 000 Cells in One Second.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Subtype Cell Detection with an Accelerated Deep Convolution Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Lung cancer survival prediction from pathological images and genetic data - An integration study.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

RSPIRIT: Robust self-consistent parallel imaging reconstruction based on generalized Lasso.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Accelerated sparse optimization for missing data completion.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Sequential Face Alignment via Person-Specific Modeling in the Wild.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Track Facial Points in Unconstrained Videos.
Proceedings of the British Machine Vision Conference 2016, 2016

Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Deep convolutional neural network for survival analysis with pathological images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Scalable Sequential Spectral Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework.
IEEE Trans. Image Process., 2015

Learning Multiscale Active Facial Patches for Expression Analysis.
IEEE Trans. Cybern., 2015

Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues.
IEEE Trans. Cybern., 2015

From circle to 3-sphere: Head pose estimation by instance parameterization.
Comput. Vis. Image Underst., 2015

Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT.
Comput. Medical Imaging Graph., 2015

Tissue-specific sparse deconvolution for brain CT perfusion.
Comput. Medical Imaging Graph., 2015

Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

An Effective Approach for Robust Lung Cancer Cell Detection.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Fast Regions-of-Interest Detection in Whole Slide Histopathology Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Robust image registration in the gradient domain.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-frequency diffuse optical tomography for cancer detection.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Three-dimensional head pose estimation in-the-wild.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Deep sparse representation for robust image registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Forest Sparsity for Multi-Channel Compressive Sensing.
IEEE Trans. Signal Process., 2014

Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging.
IEEE Trans. Medical Imaging, 2014

Feature Matching with Affine-Function Transformation Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

The benefit of tree sparsity in accelerated MRI.
Medical Image Anal., 2014

SIRF: Simultaneous Image Registration and Fusion in A Unified Framework.
CoRR, 2014

Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction.
CoRR, 2014

Instrument Tracking via Online Learning in Retinal Microsurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Real Time Dynamic MRI with Dynamic Total Variation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2D diffuse optical imaging using clustered sparsity.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploiting both intra-quadtree and inter-spatial structures for multi-contrast MRI.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Head Pose Estimation by Instance Parameterization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Transformation-Invariant Collaborative Sub-representation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

O(1) Algorithms for Overlapping Group Sparsity.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multimodal sparse representation classification with Fisher discriminative sample reduction.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Sub-Selective Quantization for Large-Scale Image Search.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

3D anatomical shape atlas construction using mesh quality preserved deformable models.
Comput. Vis. Image Underst., 2013

The role of dictionary learning on sparse representation-based classification.
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

Calibrationless Parallel MRI with Joint Total Variation Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Sparse Deformable Models with Application to Cardiac Motion Analysis.
Proceedings of the Information Processing in Medical Imaging, 2013

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Explicit occlusion detection based deformable fitting for facial landmark localization.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Automatic Image Annotation and Retrieval Using Group Sparsity.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Towards robust and effective shape modeling: Sparse shape composition.
Medical Image Anal., 2012

Learning with Forest Sparsity
CoRR, 2012

Compressive Sensing MRI with Wavelet Tree Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fast Multi-contrast MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Simplified Labeling Process for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Compressed magnetic resonance imaging based on wavelet sparsity and nonlocal total variation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Left endocardium segmentation using spatio-temporal Metamorphs.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Robust eyelid tracking for fatigue detection.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Robust face tracking with a consumer depth camera.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Background Subtraction Using Low Rank and Group Sparsity Constraints.
Proceedings of the Computer Vision - ECCV 2012, 2012

Learning active facial patches for expression analysis.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Efficient MR image reconstruction for compressed MR imaging.
Medical Image Anal., 2011

Learning with Structured Sparsity.
J. Mach. Learn. Res., 2011

Composite splitting algorithms for convex optimization.
Comput. Vis. Image Underst., 2011

Robust mesh editing using Laplacian coordinates.
Graph. Model., 2011

Deformable Segmentation via Sparse Shape Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D segmentation of rodent brain structures using Active Volume Model with shape priors.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Group sparsity based classification for cervigram segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A 3D Laplacian-driven parametric deformable model.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Optimal object matching via convexification and composition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

4D Cardiac Reconstruction Using High Resolution CT Images.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Eye localization through multiscale sparse dictionaries.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Sparse shape registration for occluded facial feature localization.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Sparse shape composition: A new framework for shape prior modeling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Robust tracking using local sparse appearance model and K-selection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

On exploring sparsity in widely separated MIMO radar.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Cervigram image segmentation based on reconstructive sparse representations.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Discriminative sparse representations for cervigram image segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization.
Proceedings of the Computer Vision, 2010

Fast Optimization for Mixture Prior Models.
Proceedings of the Computer Vision, 2010

Automatic image annotation using group sparsity.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Learning with dynamic group sparsity.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Active Volume Models with Probabilistic Object Boundary Prediction Module.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Tag Separation in Cardiac Tagged MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Simultaneous image transformation and sparse representation recovery.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Adaptive Metamorphs Model for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Dynamic Texture Based Heart Localization and Segmentation in 4-D Cardiac Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Optimization and Learning for Registration of Moving Dynamic Textures.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
3D tumor shape reconstruction from 2D bioluminescence images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Phase Correlation Based Iris Image Registration Model.
J. Comput. Sci. Technol., 2005

2004
A New Iris Segmentation Method for Recognition.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

An Iris Image Synthesis Method Based on PCA and Super-Resolution.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Noise removal and impainting model for IRIS image.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Learning Based Resolution Enhancement of Iris Images.
Proceedings of the British Machine Vision Conference, 2003


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