Junzhou Huang

Q: What Schools Are Affiliated With Junzhou Huang

Junzhou Huang is affiliated with the following schools: Rutgers University, Chinese University of Hong Kong, University of Texas at Arlington

Junzhou Huang's AcademicInfluence.com Rankings

Junzhou Huang

Computer Science

#4545

World Rank

#4795

Historical Rank

Machine Learning

#928

World Rank

#941

Historical Rank

Artificial Intelligence

#1147

World Rank

#1167

Historical Rank

Database

#1760

World Rank

#1845

Historical Rank

computer-science Degrees

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Computer Science

Junzhou Huang's Degrees

Bachelors Computer Science Peking University

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Junzhou Huang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification (2019) (716)
Learning with structured sparsity (2009) (550)
Robust tracking using local sparse appearance model and K-selection (2011) (546)
The Benefit of Group Sparsity (2009) (526)
Adaptive Graph Convolutional Neural Networks (2018) (469)
Discrimination-aware Channel Pruning for Deep Neural Networks (2018) (465)
Large-Scale Multi-View Spectral Clustering via Bipartite Graph (2015) (358)
Adaptive Sampling Towards Fast Graph Representation Learning (2018) (357)
Learning active facial patches for expression analysis (2012) (336)
Graph Convolutional Networks for Temporal Action Localization (2019) (318)
Progressive Feature Alignment for Unsupervised Domain Adaptation (2018) (270)
Towards robust and effective shape modeling: Sparse shape composition (2012) (266)
Graph Representation Learning via Graphical Mutual Information Maximization (2020) (265)
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model (2013) (253)
Self-Supervised Graph Transformer on Large-Scale Molecular Data (2020) (249)
Efficient MR image reconstruction for compressed MR imaging (2011) (243)
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks (2020) (242)
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization (2010) (240)
Automatic image annotation using group sparsity (2010) (201)
End-to-End Learning of Motion Representation for Video Understanding (2018) (183)
Early triage of critically ill COVID-19 patients using deep learning (2020) (181)
Learning Multiscale Active Facial Patches for Expression Analysis (2015) (176)
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization (2018) (175)
Learning with dynamic group sparsity (2009) (167)
WSISA: Making Survival Prediction from Whole Slide Histopathological Images (2017) (163)
Weakly Supervised Region Proposal Network and Object Detection (2018) (161)
Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection (2013) (158)
A new iris segmentation method for recognition (2004) (152)
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks (2020) (145)
Hierarchically Structured Meta-learning (2019) (143)
SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction (2019) (141)
Fast multi-contrast MRI reconstruction. (2014) (133)
An iris image synthesis method based on PCA and super-resolution (2004) (131)
Deep convolutional neural network for survival analysis with pathological images (2016) (129)
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis (2017) (122)
Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity (2014) (119)
Automatic Image Annotation and Retrieval Using Group Sparsity (2012) (118)
Simultaneous image transformation and sparse representation recovery (2008) (115)
Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery (2017) (114)
SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework (2015) (112)
Compressive Sensing MRI with Wavelet Tree Sparsity (2012) (109)
Collaborative Channel Pruning for Deep Networks (2019) (108)
Deep Multimodal Fusion by Channel Exchanging (2020) (105)
Transfer Learning via Learning to Transfer (2018) (104)
Background Subtraction Using Low Rank and Group Sparsity Constraints (2012) (104)
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models (2019) (101)
Weakly supervised mitosis detection in breast histopathology images using concentric loss (2019) (97)
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective (2019) (96)
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection (2020) (93)
Graph Few-shot Learning via Knowledge Transfer (2019) (93)
Weakly Supervised Dense Event Captioning in Videos (2018) (93)
Composite splitting algorithms for convex optimization (2011) (90)
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (2019) (90)
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks (2021) (90)
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays (2018) (88)
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm (2020) (86)
Efficient MR Image Reconstruction for Compressed MR Imaging (2010) (80)
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation (2020) (77)
Graph CNN for Survival Analysis on Whole Slide Pathological Images (2018) (76)
Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer (2020) (74)
NAT: Neural Architecture Transformer for Accurate and Compact Architectures (2019) (71)
Adversarial Sparse Transformer for Time Series Forecasting (2020) (69)
IMAGING GENOMICS. (2018) (69)
Vision-Language Pre-Training with Triple Contrastive Learning (2022) (68)
Deep Correlational Learning for Survival Prediction from Multi-modality Data (2017) (64)
Sparse shape composition: A new framework for shape prior modeling (2011) (64)
Towards Fast Adaptation of Neural Architectures with Meta Learning (2020) (62)
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist (2020) (60)
Imaging Biomarker Discovery for Lung Cancer Survival Prediction (2016) (58)
Subtype Cell Detection with an Accelerated Deep Convolution Neural Network (2016) (57)
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 (2020) (56)
Compressed magnetic resonance imaging based on wavelet sparsity and nonlocal total variation (2012) (55)
Exploiting the wavelet structure in compressed sensing MRI. (2014) (54)
Adversarial Attack on Community Detection by Hiding Individuals (2020) (53)
Calibrationless Parallel MRI with Joint Total Variation Regularization (2013) (53)
The benefit of tree sparsity in accelerated MRI (2014) (51)
TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification (2021) (51)
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement (2019) (50)
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification (2019) (50)
Deformable Segmentation via Sparse Shape Representation (2011) (48)
Graph Information Bottleneck for Subgraph Recognition (2020) (47)
Discrimination-Aware Network Pruning for Deep Model Compression (2020) (45)
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search (2020) (45)
An efficient algorithm for dynamic MRI using low‐rank and total variation regularizations (2018) (43)
An Efficient Approach to Informative Feature Extraction from Multimodal Data (2018) (42)
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images (2019) (42)
Lung cancer survival prediction from pathological images and genetic data — An integration study (2016) (42)
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data (2018) (40)
Improving Generalization in Meta-learning via Task Augmentation (2020) (40)
Tackling Over-Smoothing for General Graph Convolutional Networks (2020) (39)
Deep Multi-instance Learning with Dynamic Pooling (2018) (39)
Robust eyelid tracking for fatigue detection (2012) (39)
Adaptive Cost-Sensitive Online Classification (2018) (38)
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues (2015) (38)
Scalable histopathological image analysis via supervised hashing with multiple features (2016) (37)
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction (2014) (37)
Learning Based Resolution Enhancement of Iris Images (2003) (35)
Context-Aware Domain Adaptation in Semantic Segmentation (2020) (35)
DTWNet: a Dynamic Time Warping Network (2019) (33)
Fast iteratively reweighted least squares algorithms for analysis‐based sparse reconstruction (2014) (32)
From circle to 3-sphere: Head pose estimation by instance parameterization (2015) (32)
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos (2017) (32)
Adversarial Learning with Local Coordinate Coding (2018) (31)
Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization (2015) (30)
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (2020) (29)
Discriminative sparse representations for cervigram image segmentation (2010) (29)
The Truly Deep Graph Convolutional Networks for Node Classification (2019) (29)
Detecting 10, 000 Cells in One Second (2016) (28)
Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging (2014) (28)
Noise removal and impainting model for iris image (2004) (27)
Graph Convolutional Nets for Tool Presence Detection in Surgical Videos (2019) (27)
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information (2015) (27)
Instrument Tracking via Online Learning in Retinal Microsurgery (2014) (26)
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis (2015) (26)
Automatic extraction of cell nuclei from H&E-stained histopathological images (2017) (26)
Deep sparse representation for robust image registration (2015) (26)
Complexities in Projection-Free Stochastic Non-convex Minimization (2019) (26)
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model (2016) (25)
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image (2021) (25)
Forest Sparsity for Multi-Channel Compressive Sensing (2012) (25)
On exploring sparsity in widely separated MIMO radar (2011) (25)
Real time dynamic MRI by exploiting spatial and temporal sparsity. (2016) (25)
Transformer-based unsupervised contrastive learning for histopathological image classification (2022) (24)
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging (2020) (24)
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses (2020) (24)
Molecular Graph Enhanced Transformer for Retrosynthesis Prediction (2019) (24)
Phase Correlation Based Iris Image Registration Model (2005) (23)
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation (2018) (23)
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation (2021) (23)
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation (2019) (23)
Robust mesh editing using Laplacian coordinates (2011) (23)
Real Time Dynamic MRI with Dynamic Total Variation (2014) (22)
3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models (2012) (22)
Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery (2018) (22)
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations (2022) (22)
Structure of human steroid 5α-reductase 2 with the anti-androgen drug finasteride (2020) (22)
Multi-View Graph Neural Networks for Molecular Property Prediction (2020) (22)
DYNAMIC TEXTURE BASED HEART LOCALIZATION AND SEGMENTATION IN 4-D CARDIAC IMAGES (2007) (22)
Not All Low-Pass Filters are Robust in Graph Convolutional Networks (2021) (21)
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT (2015) (21)
PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks (2018) (21)
Deep Graph Learning: Foundations, Advances and Applications (2020) (21)
Scalable Sequential Spectral Clustering (2016) (20)
Revisiting Parameter Sharing for Automatic Neural Channel Number Search (2020) (20)
Sparse shape registration for occluded facial feature localization (2011) (20)
Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features (2015) (20)
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation (2020) (20)
Hyperparameter Learning via Distributional Transfer (2018) (20)
Learning Based Enhancement Model of Iris (2003) (19)
Optimal object matching via convexification and composition (2011) (19)
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval (2022) (19)
Transformer for Graphs: An Overview from Architecture Perspective (2022) (19)
Local Augmentation for Graph Neural Networks (2021) (19)
Application advances of deep learning methods for de novo drug design and molecular dynamics simulation (2021) (19)
Eye localization through multiscale sparse dictionaries (2011) (19)
4D Cardiac Reconstruction Using High Resolution CT Images (2011) (19)
scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data (2021) (18)
Spectral Graph Attention Network with Fast Eigen-approximation (2020) (18)
On Self-Distilling Graph Neural Network (2020) (17)
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier (2019) (17)
Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network (2015) (17)
A 3D Laplacian-driven parametric deformable model (2011) (17)
Group-driven Reinforcement Learning for Personalized mHealth Intervention (2017) (17)
Feature Matching with Affine-Function Transformation Models (2014) (17)
Online Adaptive Asymmetric Active Learning With Limited Budgets (2019) (17)
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data (2020) (17)
Investigation of Low-Dose CT Image Denoising Using Unpaired Deep Learning Methods (2021) (16)
Group sparsity based classification for cervigram segmentation (2011) (16)
Iris Model Based on Local Orientation Description (2004) (16)
Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction (2015) (16)
Equivariant Graph Mechanics Networks with Constraints (2022) (16)
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (2021) (16)
Towards Accurate and Compact Architectures via Neural Architecture Transformer (2021) (16)
An Effective Approach for Robust Lung Cancer Cell Detection (2015) (16)
Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning (2019) (16)
Adversarial Domain Adaptation for Cell Segmentation (2020) (15)
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring (2021) (15)
Bipartite Graph Neural Networks for Efficient Node Representation Learning (2019) (15)
Energy Disaggregation via Hierarchical Factorial HMM (2014) (15)
Integrating 3D Geometry of Organ for Improving Medical Image Segmentation (2019) (15)
When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14—(tFold for CASP14 contact prediction) (2021) (15)
Explicit occlusion detection based deformable fitting for facial landmark localization (2013) (14)
Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction (2015) (14)
3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models (2011) (14)
Graph Convolutional Module for Temporal Action Localization in Videos (2021) (14)
Three-dimensional head pose estimation in-the-wild (2015) (13)
Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study (2021) (13)
Sparse Deformable Models with Application to Cardiac Motion Analysis (2013) (13)
Meta-learning Hyperparameter Performance Prediction with Neural Processes (2021) (13)
Unsupervised Adversarial Graph Alignment with Graph Embedding (2019) (13)
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks (2019) (13)
Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search (2018) (13)
Structured sparsity: theorems, algorithms and applications (2011) (13)
Sub-Selective Quantization for Large-Scale Image Search (2014) (13)
WADDAICA: A webserver for aiding protein drug design by artificial intelligence and classical algorithm (2021) (13)
Recognizing Predictive Substructures with Subgraph Information Bottleneck (2021) (12)
Cervigram image segmentation based on reconstructive sparse representations (2010) (12)
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN (2019) (12)
Hierarchical Graph Capsule Network (2020) (12)
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss (2018) (12)
Frustratingly Easy Transferability Estimation (2021) (12)
Spectral Graph Attention Network (2020) (12)
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions (2018) (12)
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks (2022) (11)
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information (2021) (11)
Facial Image-to-Video Translation by a Hidden Affine Transformation (2019) (11)
Fast Optimization for Mixture Prior Models (2010) (11)
Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model (2016) (11)
Simplified Labeling Process for Medical Image Segmentation (2012) (11)
Transformation-Invariant Collaborative Sub-representation (2014) (10)
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction (2020) (10)
Multi-frequency diffuse optical tomography for cancer detection (2015) (10)
Active Volume Models with Probabilistic Object Boundary Prediction Module (2008) (10)
TranSlider: Transfer Ensemble Learning from Exploitation to Exploration (2020) (10)
Fast Regions-of-Interest Detection in Whole Slide Histopathology Images (2015) (10)
Learning Diverse-Structured Networks for Adversarial Robustness (2021) (10)
Nonparametric Topic Modeling with Neural Inference (2018) (10)
How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies (2021) (10)
The role of dictionary learning on sparse representation-based classification (2013) (10)
A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data (2015) (10)
Robust face tracking with a consumer depth camera (2012) (10)
Low-Dose CT Image Denoising Using Cycle-Consistent Adversarial Networks (2019) (9)
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures (2022) (9)
Structure of human steroid 5α-reductase 2 with anti-androgen drug finasteride (2020) (9)
O(1) Algorithms for Overlapping Group Sparsity (2014) (9)
Optimization and Learning for Registration of Moving Dynamic Textures (2007) (9)
Hierarchical Sparse Representation for Robust Image Registration (2018) (9)
Disturbance-immune Weight Sharing for Neural Architecture Search (2020) (9)
Structure-aware conditional variational auto-encoder for constrained molecule optimization (2022) (9)
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media (2022) (9)
The General Black-box Attack Method for Graph Neural Networks (2019) (9)
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention (2017) (8)
Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models (2011) (8)
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs (2022) (8)
Tag Separation in Cardiac Tagged MRI (2008) (8)
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion (2017) (8)
RaFM: Rank-Aware Factorization Machines (2019) (8)
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge (2021) (8)
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification (2022) (8)
Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury. (2020) (8)
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis (2022) (8)
EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction (2020) (8)
Improving Generative Adversarial Networks With Local Coordinate Coding (2020) (7)
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation (2020) (7)
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning (2019) (7)
Learning Graph While Training: An Evolving Graph Convolutional Neural Network (2017) (7)
Efficient Sparse Representation Classification Using Adaptive Clustering (2013) (7)
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding (2017) (7)
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets (2021) (7)
Head Pose Estimation by Instance Parameterization (2014) (7)
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed (2021) (7)
3D segmentation of rodent brain structures using Active Volume Model with shape priors (2011) (7)
Robust image registration in the gradient domain (2015) (7)
3D tumor shape reconstruction from 2D bioluminescence images (2006) (7)
Dual Message Passing Neural Network for Molecular Property Prediction (2020) (7)
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning (2021) (7)
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels (2021) (6)
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery (2021) (6)
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation (2021) (6)
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift (2022) (6)
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches (2018) (6)
Fast Multi-contrast MRI Reconstruction (2012) (6)
Exploiting both intra-quadtree and inter-spatial structures for multi-contrast MRI (2014) (6)
Track Facial Points in Unconstrained Videos (2016) (6)
Guest Editorial: Special issue on advances in computing techniques for big medical image data (2017) (6)
Transferable Neural Processes for Hyperparameter Optimization (2019) (6)
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning (2021) (6)
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation (2021) (6)
50 FPS Object-Level Saliency Detection via Maximally Stable Region (2020) (5)
A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning (2017) (5)
Graph Ordering: Towards the Optimal by Learning (2020) (5)
RSPIRIT: Robust self-consistent parallel imaging reconstruction based on generalized Lasso (2016) (5)
A simple primal-dual algorithm for nuclear norm and total variation regularization (2018) (5)
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation (2020) (5)
Adaptive Metamorphs Model for 3D Medical Image Segmentation (2007) (5)
Accelerated Parallel Magnetic Resonance Imaging with Combined Gradient and Wavelet Sparsity (2012) (5)
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction (2022) (5)
Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning (2022) (5)
Improving Ki67 assessment concordance by the use of an artificial intelligence‐empowered microscope: a multi‐institutional ring study (2021) (5)
SE(3)-Equivariant Energy-based Models for End-to-End Protein Folding (2021) (5)
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis (2022) (5)
Tissue-specific sparse deconvolution for brain CT perfusion (2015) (4)
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning (2020) (4)
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks (2021) (4)
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding (2021) (4)
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models (2021) (4)
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding (2020) (4)
A Novel Scalarized Scaffold Hopping Algorithm with Graph-Based Variational Autoencoder for Discovery of JAK1 Inhibitors (2021) (4)
Cross-dependent graph neural networks for molecular property prediction (2022) (4)
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification (2022) (4)
Adversarial Representation Learning on Large-Scale Bipartite Graphs (2019) (4)
Diversified Multiscale Graph Learning with Graph Self-Correction (2021) (4)
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI (2011) (4)
Blood–brain barrier penetration prediction enhanced by uncertainty estimation (2022) (4)
Microscope Based HER2 Scoring System (2020) (3)
Learning Graphon Autoencoders for Generative Graph Modeling (2021) (3)
SIRF: Simultaneous Image Registration and Fusion in A Unified Framework (2014) (3)
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data (2021) (3)
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images (2022) (3)
Transfer Learning via Learning to Transfer: Supplementary Material (2018) (3)
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets (2022) (3)
RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction (2021) (3)
PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction (2018) (3)
Adaptive Proximal Average Approximation for Composite Convex Minimization (2017) (3)
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction (2020) (3)
Addendum: Early triage of critically ill COVID-19 patients using deep learning (2021) (3)
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer (2022) (3)
Multimodal sparse representation classification with Fisher discriminative sample reduction (2014) (3)
Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution (2015) (3)
A transferrable and interpretable multiple instance learning model for microsatellite instability prediction based on histopathology images (2020) (3)
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract) (2022) (3)
Cell Detection with Deep Learning Accelerated by Sparse Kernel (2017) (3)
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection (2022) (3)
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search (2021) (2)
Finding Critical Users in Social Communities via Graph Convolutions (2023) (2)
Deep Learning Model for Predicting the Pathological Complete Response to Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer (2022) (2)
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning (2020) (2)
Sequential Face Alignment via Person-Specific Modeling in the Wild (2016) (2)
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection (2020) (2)
Learning with Forest Sparsity (2012) (2)
Left endocardium segmentation using spatio-temporal Metamorphs (2012) (2)
Interpretable Retrosynthesis Prediction in Two Steps (2020) (2)
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images (2022) (2)
Summary of Tutorials at The Web Conference 2021 (2021) (2)
Supervised Augmentation: Leverage Strong Annotation for Limited Data (2020) (2)
Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction (2013) (2)
The Bene t of Group Sparsity (2018) (2)
MA12.08 Chemotherapy plus EGFR TKIs or Bevacizumab versus Chemotherapy Alone in SCLC-Transformed EGFR-Mutant Lung Adenocarcinoma (2021) (2)
Advanced sparsity techniques in magnetic resonance imaging (2016) (2)
MoDNA: motif-oriented pre-training for DNA language model (2022) (1)
How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies (2021) (1)
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement (2021) (1)
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention (2018) (1)
Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images (2022) (1)
Learning Joint Wasserstein Auto-Encoders for Joint Distribution Matching (2018) (1)
A Bayesian Nonparametric Topic Model with Variational Auto-Encoders (2018) (1)
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection (2022) (1)
Accelerated sparse optimization for missing data completion (2016) (1)
A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation (2018) (1)
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 (2021) (1)
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis (2021) (1)
2D diffuse optical imaging using clustered sparsity (2014) (1)
Self-supervised Pre-training for Nuclei Segmentation (2022) (1)
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction (2020) (1)
NMR analysis of the correlation of metabolic changes in blood and cerebrospinal fluid in Alzheimer model male and female mice (2020) (1)
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion (2018) (1)
Multi-Level Attention Graph Neural Network for Clinically Interpretable Pathway-Level Biomarkers Discovery (2020) (1)
Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction (2022) (1)
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning (2022) (1)
Gradient-Norm Based Attentive Loss for Molecular Property Prediction (2021) (1)
Robust Contextual Bandit via the Capped-$\ell_{2}$ norm (2017) (1)
Merging nucleus datasets by correlation-based cross-training (2022) (1)
Graph Neural Networks: Scalability (2022) (1)
Boost Test-Time Performance with Closed-Loop Inference (2022) (1)
Learning Representations by Graphical Mutual Information Estimation and Maximization (2022) (1)
Prenatal development of neonatal vocalizations (2022) (1)
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning (2021) (1)
DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup (2022) (1)
SU-E-J-122: The CBCT Dose Calculation Using a Patient Specific CBCT Number to Mass Density Conversion Curve Based On a Novel Image Registration and Organ Mapping Method in Head-And-Neck Radiation Therapy (2015) (0)
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction (2022) (0)
Supplementary Material of Deep Multimodal Fusion by Channel Exchanging (2020) (0)
CELL SEGMENTATION IN CANCER HISTOPATHOLOGY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS by VISWANATHAN KAVASSERY RAJALINGAM (2016) (0)
Rethinking and Relieving Over-Smoothing in Deep GCNs (2020) (0)
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? (2020) (0)
Robust self-training strategy for various molecular biology prediction tasks (2022) (0)
DROPEDGE: TOWARDS DEEP GRAPH CONVOLU- (2019) (0)
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention (2018) (0)
NuSegDA: Domain adaptation for nuclei segmentation (2023) (0)
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack (2022) (0)
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction (2022) (0)
Towards Expectation-Maximization by SQL in RDBMS (2021) (0)
Fast Optimization for Mixture Prior Models . CONFERENCE (2015) (0)
Seq3seq fingerprint: towards end-to-end semi-supervised deep drug discovery (2018) (0)
Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images (2022) (0)
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations (2021) (0)
Institutional Knowledge at Singapore Management University Adaptive cost-sensitive online classification (2019) (0)
Robust Contextual Bandit via the Capped-` 2 norm (2018) (0)
MoDNA (2022) (0)
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning (2022) (0)
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training (2022) (0)
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Adaptive cost-sensitive online classification Adaptive cost-sensitive online classification (2020) (0)
RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction (2021) (0)
Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications (2016) (0)
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels (2021) (0)
Hierarchically Structured Meta-learning: Supplementary Material (2019) (0)
Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss (2022) (0)
Sparsity Driven Background Modeling and Foreground Detection (2014) (0)
DeepNoise: Disentanglement of Experimental Noise from Real Biological Signals based on Fluorescent Microscopy Image Classiﬁcation via Deep Learning (2022) (0)
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics (2022) (0)
PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction (2018) (0)
Octave Graph Convolutional Network (2019) (0)
Curriculum Graph Poisoning (2023) (0)
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels (2021) (0)
Joint Wasserstein Distribution Matching (2020) (0)
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads (2021) (0)
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification (2022) (0)
Semi-supervised Learning with Contrastive Predicative Coding (2019) (0)

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