Heng-ching Huang
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Engineering Computer Science
Heng-ching Huang's Degrees
- PhD Electrical Engineering National Taiwan University
- Masters Electrical Engineering National Taiwan University
- Bachelors Electrical Engineering National Taiwan University
Why Is Heng-ching Huang Influential?
(Suggest an Edit or Addition)Heng-ching 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
- Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization (2010) (1696)
- Clustering and projected clustering with adaptive neighbors (2014) (598)
- The Constrained Laplacian Rank Algorithm for Graph-Based Clustering (2016) (489)
- Multi-View K-Means Clustering on Big Data (2013) (464)
- Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization (2017) (408)
- Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities (2015) (383)
- Large-Scale Multi-View Spectral Clustering via Bipartite Graph (2015) (358)
- Multi-view Subspace Clustering (2015) (323)
- Robust nonnegative matrix factorization using L21-norm (2011) (298)
- Multi-View Clustering and Feature Learning via Structured Sparsity (2013) (281)
- Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization (2012) (268)
- Heterogeneous image feature integration via multi-modal spectral clustering (2011) (229)
- A Convex Formulation for Semi-Supervised Multi-Label Feature Selection (2014) (222)
- Optimal Mean Robust Principal Component Analysis (2014) (208)
- Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization (2011) (197)
- Robust Manifold Nonnegative Matrix Factorization (2014) (182)
- A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering (2015) (170)
- Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort (2012) (153)
- Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning (2012) (140)
- Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance (2011) (139)
- Feature Selection via Global Redundancy Minimization (2015) (131)
- Multi-label Linear Discriminant Analysis (2010) (126)
- Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering (2011) (119)
- A generative probability model of joint label fusion for multi-atlas based brain segmentation (2014) (119)
- Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization (2012) (116)
- Exact Top-k Feature Selection via l2, 0-Norm Constraint (2013) (115)
- Image annotation using multi-label correlated Green's function (2009) (112)
- Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model (2013) (106)
- On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (2013) (105)
- Cauchy Graph Embedding (2011) (95)
- Multi-label ReliefF and F-statistic feature selections for image annotation (2012) (92)
- Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization (2014) (90)
- Spectral Rotation versus K-Means in Spectral Clustering (2013) (90)
- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation (2010) (88)
- Joint Schatten $$p$$p-norm and $$\ell _p$$ℓp-norm robust matrix completion for missing value recovery (2013) (87)
- Heterogeneous Visual Features Fusion via Sparse Multimodal Machine (2013) (87)
- Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK) (2014) (86)
- Lung Nodule Classification With Multilevel Patch-Based Context Analysis (2014) (85)
- Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (2011) (84)
- Unsupervised and semi-supervised learning via ℓ1-norm graph (2011) (82)
- Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method (2016) (81)
- Image annotation using bi-relational graph of images and semantic labels (2011) (79)
- High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction (2012) (74)
- Large Margin Local Estimate With Applications to Medical Image Classification (2015) (72)
- Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (2008) (69)
- Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells (2018) (69)
- Robust Dictionary Learning with Capped l1-Norm (2015) (67)
- From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs (2012) (65)
- Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization (2011) (63)
- Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization (2013) (63)
- Convex Sparse PCA for Unsupervised Feature Learning (2016) (63)
- Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression (2011) (63)
- Robust tensor factorization using R1 norm (2008) (63)
- Multi-Subspace Representation and Discovery (2011) (63)
- Integrative molecular profiling reveals asparagine synthetase is a target in castration-resistant prostate cancer. (2012) (62)
- New primal SVM solver with linear computational cost for big data classifications (2014) (62)
- Multi-Class L2,1-Norm Support Vector Machine (2011) (62)
- Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF (2015) (61)
- Early Active Learning via Robust Representation and Structured Sparsity (2013) (61)
- Adaptive Loss Minimization for Semi-Supervised Elastic Embedding (2013) (61)
- Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling (2017) (59)
- Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization (2012) (59)
- Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis (2005) (54)
- Robust and Discriminative Self-Taught Learning (2013) (54)
- A Closed Form Solution to Multi-View Low-Rank Regression (2015) (53)
- On the eigenvectors of p-Laplacian (2010) (51)
- Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation (2017) (51)
- Social Trust Prediction Using Rank-k Matrix Recovery (2013) (50)
- Joint stage recognition and anatomical annotation of drosophila gene expression patterns (2012) (47)
- New Graph Structured Sparsity Model for Multi-label Image Annotations (2013) (47)
- Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm (2014) (46)
- An Iterative Locally Linear Embedding Algorithm (2012) (46)
- Dyadic transfer learning for cross-domain image classification (2011) (46)
- Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation (2011) (46)
- Linear Discriminant Analysis: New Formulations and Overfit Analysis (2011) (45)
- Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis (2018) (44)
- Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting (2020) (43)
- Cortical surface biomarkers for predicting cognitive outcomes using group l 2,1 norm (2015) (42)
- A Convex Sparse PCA for Feature Analysis (2014) (42)
- Factors that Impact the Accuracy of Clustering-Based Load Forecasting (2015) (42)
- Tensor reduction error analysis — Applications to video compression and classification (2008) (40)
- Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data (2020) (40)
- Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint (2016) (40)
- Locally-Transferred Fisher Vectors for Texture Classification (2017) (39)
- Low-Rank Tensor Completion with Spatio-Temporal Consistency (2014) (39)
- Non-negative Laplacian Embedding (2009) (38)
- A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics (2014) (38)
- Large-scale adaptive semi-supervised learning via unified inductive and transductive model (2014) (37)
- HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images (2019) (37)
- Towards Structural Sparsity: An Explicit l2/l0 Approach (2010) (37)
- Parallelization with Multiplicative Algorithms for Big Data Mining (2012) (36)
- Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification (2017) (35)
- Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling (2013) (35)
- Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification (2017) (35)
- Discriminative Unsupervised Dimensionality Reduction (2015) (34)
- Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix (2016) (34)
- PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images (2020) (34)
- Locality-constrained Subcluster Representation Ensemble for lung image classification (2015) (33)
- BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture (2020) (33)
- Trust prediction via aggregating heterogeneous social networks (2012) (33)
- Supervised and Projected Sparse Coding for Image Classification (2013) (32)
- Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks (2012) (32)
- Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization (2015) (32)
- Maximum Margin Multi-Instance Learning (2011) (30)
- Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet (2010) (30)
- Efficient Registration of 3D SPHARM Surfaces (2007) (30)
- Learning Instance Specific Distance for Multi-Instance Classification (2011) (29)
- Multi-label Feature Transform for Image Classifications (2010) (29)
- The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation (2016) (29)
- From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis (2017) (28)
- Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor (2010) (28)
- Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm (2016) (27)
- New l1-Norm Relaxations and Optimizations for Graph Clustering (2016) (27)
- Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies (2014) (26)
- Load model development for next generation appliances (2011) (26)
- Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors (2016) (26)
- Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain (2008) (25)
- A Novel Surface Registration Algorithm With Biomedical Modeling Applications (2007) (24)
- Joint Capped Norms Minimization for Robust Matrix Recovery (2017) (24)
- Asynchronous Doubly Stochastic Sparse Kernel Learning (2018) (24)
- Multi-Class Support Vector Machine via Maximizing Multi-Class Margins (2017) (24)
- Social trust prediction using heterogeneous networks (2013) (24)
- Learning Robust Locality Preserving Projection via p-Order Minimization (2015) (23)
- Robust Discrete Matrix Completion (2013) (23)
- Globally and Locally Consistent Unsupervised Projection (2014) (23)
- H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task (2020) (22)
- Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms (2009) (22)
- Harmonic Mean Linear Discriminant Analysis (2019) (22)
- Robust and discriminative distance for Multi-Instance Learning (2012) (22)
- Mitosis Phase Enrichment with Identification of Mitotic Centromere-Associated Kinesin As a Therapeutic Target in Castration-Resistant Prostate Cancer (2012) (22)
- Consensus spectral clustering in near-linear time (2011) (22)
- An event driven framework for assistive CPS environments (2009) (21)
- Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study (2007) (20)
- Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis (2011) (19)
- Symmetric two dimensional linear discriminant analysis (2DLDA) (2009) (19)
- Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images (2021) (19)
- Discriminant Laplacian Embedding (2010) (18)
- A New Hybrid Technique for Dermatological Image Registration (2007) (18)
- An overview of AMI data preprocessing to enhance the performance of load forecasting (2014) (18)
- Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach (2012) (18)
- Semi-Supervised Classifications via Elastic and Robust Embedding (2017) (17)
- Fusing subcategory probabilities for texture classification (2015) (16)
- Image Categorization Using Directed Graphs (2010) (16)
- A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification (2016) (16)
- UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports (2016) (16)
- Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing (2010) (15)
- Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis (2009) (15)
- Clinical Information Extraction via Convolutional Neural Network (2016) (15)
- Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease (2018) (15)
- Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images (2020) (14)
- Cardiac motion analysis to improve pacing site selection in CRT. (2006) (14)
- A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis (2013) (14)
- Emotion Detection via Discriminant Laplacian Embedding (2014) (14)
- Directed Graph Learning via High-Order Co-linkage Analysis (2010) (14)
- Toward structural sparsity: an explicit $$\ell _{2}/\ell _0$$ approach (2013) (14)
- Non-Greedy L21-Norm Maximization for Principal Component Analysis (2016) (14)
- Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering (2016) (14)
- Mask-Driven Mitosis Detection In Histopathology Images (2019) (14)
- High dimensional statistical shape model for medical image analysis (2008) (13)
- GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics (2015) (13)
- Heterogeneous data fusion for brain tumor classification. (2012) (13)
- Object localization in medical images based on graphical model with contrast and interest-region terms (2012) (13)
- Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing (2019) (12)
- Flexible Shift-Invariant Locality and Globality Preserving Projections (2014) (12)
- Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph (2012) (12)
- An interactive user interface system for Alzheimer's intervention (2010) (11)
- Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors (2016) (11)
- Functional analysis of cardiac MR images using SPHARM modeling (2005) (11)
- BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation (2021) (11)
- Refined Spectral Clustering via Embedded Label Propagation (2017) (11)
- Solenoid and non-solenoid protein recognition using stationary wavelet packet transform (2010) (11)
- Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model (2017) (10)
- Quantitative trait loci identification for brain endophenotypes via new additive model with random networks (2018) (10)
- Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model (2014) (10)
- Structured sparse CCA for brain imaging genetics via graph OSCAR (2016) (10)
- Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning (2018) (10)
- Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval (2011) (10)
- Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency (2014) (10)
- Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping (2017) (9)
- Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis (2006) (9)
- Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (2019) (9)
- Emotion detection via discriminative kernel method (2010) (9)
- 3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation (2018) (9)
- Bone texture characterization with fisher encoding of local descriptors (2015) (9)
- Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images (2020) (8)
- Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions (2013) (8)
- A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis (2005) (8)
- Learning frame relevance for video classification (2011) (8)
- A Spatio-Temporal Modeling Method for Shape Representation (2006) (8)
- Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut (2015) (8)
- Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears (2015) (8)
- Link prediction of multimedia social network via unsupervised face recognition (2009) (8)
- MORPHOMETRIC ANALYSIS OF GENETIC VARIATION IN HIPPOCAMPAL SHAPE IN MILD COGNITIVE IMPAIRMENT : ROLE OF AN IL-6 PROMOTER POLYMORPHISM (2006) (8)
- Early lung cancer detection based on registered perfusion MRI. (2006) (8)
- Boosted multifold sparse representation with application to ILD classification (2012) (8)
- Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures (2013) (8)
- Heterogeneous Data Fusion to Type Brain Tumor Biopsies (2009) (7)
- Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model (2017) (7)
- Linear Time Solver for Primal SVM (2014) (7)
- DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms (2014) (7)
- K-means+ method for improving gene selection for classification of microarray data (2005) (7)
- Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning (2012) (7)
- Similarity Guided Feature Labeling for Lesion Detection (2013) (7)
- Video Motion Segmentation Using New Adaptive Manifold Denoising Model (2014) (7)
- Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning (2015) (7)
- Predicting Longitudinal Outcomes of Alzheimer’s Disease via a Tensor-Based Joint Classification and Regression Model (2019) (6)
- A New Smoothing Model for Analyzing Array CGH Data (2007) (6)
- Large Margin Aggregation of Local Estimates for Medical Image Classification (2014) (6)
- Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model (2018) (6)
- Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization (2015) (5)
- Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression (2019) (5)
- Large Kernel Refine Fusion Net for Neuron Membrane Segmentation (2018) (5)
- PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images (2021) (4)
- DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis (2021) (4)
- Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform (2007) (4)
- GaborLocal: peak detection in mass spectrum by Gabor filters and Gaussian local maxima. (2008) (4)
- Improved Spectral Clustering via Embedded Label Propagation (2014) (4)
- Requirements for implementation of localization into real-world assistive environments (2008) (4)
- Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes (2012) (4)
- Computational Issues in Biomedical Nanometrics and Nano-Materials (2007) (3)
- Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations (2013) (3)
- Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms (2019) (3)
- A clustering-based approach for prediction of cardiac resynchronization therapy (2005) (3)
- No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases (2012) (3)
- Spatio-temporal modeling of lung images for cancer detection. (2006) (3)
- A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks (2007) (3)
- Graph Evolution via Social Diffusion Processes (2011) (2)
- 1116-14 Three-dimensional analysis of cardiac magnetic resonance imaging the using spherical harmonics model (2004) (2)
- Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations (2018) (2)
- Global Redundancy Minimization for Feature Ranking (2015) (2)
- Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning (2014) (2)
- Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ (2007) (2)
- Modeling Time-Intensity Profiles for Pulmonary Nodules in MR Images (2005) (2)
- Spatio-temporal analysis tool for modeling pulmonary nodules in MR images (2006) (2)
- Cluster Indicator Decomposition for Efficient Matrix Factorization (2011) (2)
- Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning (2015) (2)
- Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning (2012) (2)
- Ball Ranking Machine for Content-Based Multimedia Retrieval (2011) (2)
- Cost effective depression patient thought record categorization via self-taught learning (2011) (1)
- A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis (2005) (1)
- An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography (2005) (1)
- UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation (2016) (1)
- Context Enhanced Graphical Model for Object Localization in Medical Images (2012) (1)
- Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers (2015) (1)
- New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules (2016) (1)
- Direct Hashing Without Pseudo-Labels (2018) (1)
- Multi-Level Cluster Indicator Decompositions of Matrices and Tensors (2011) (1)
- Texture analysis of tissue aging using global and cluster constrained local coding (2016) (1)
- Efficient Similarity Retrieval for Temporal Shape Sequences: A Case Study using Cardiac MR Images (2004) (1)
- Multi-Source Feature Selection to Improve Multi-class Brain Tumor Typing (2009) (1)
- Sparse and large-scale learning models and algorithms for mining heterogeneous big data (2013) (1)
- Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding (2016) (1)
- Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization (2012) (1)
- Joint Schatten p\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p$$\end{document}-norm and ℓp\documentclass[12pt]{mini (2013) (0)
- Latent Discriminative Modeling for Lesion Detection in PET-CT Images (2015) (0)
- Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling (2006) (0)
- Lung Nodule Classification Techniques for Low Dose Computed Tomography (LDCT) Scan Images as Survey (2016) (0)
- New matrix completion models for social information retrieval application (2013) (0)
- Performance evaluation of two magnetic recovery circuits of forward converter (2016) (0)
- Multimodal Brain Image Analysis (MBIA) (2019) (0)
- Boundary-aware Graph Reasoning for Semantic Segmentation (2021) (0)
- Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images (2020) (0)
- Multi-label Classification : Inconsistency , Ambiguity and Class Balanced K NN Classification (2010) (0)
- Region and Object based Panoptic Image Synthesis through Conditional GANs (2019) (0)
- CD4FOXP3 T 細胞與嚴重敗血症及敗血性休克病人預後之相關性 (2007) (0)
- A new integrative data mining framework for analyzing the cancer genome atlas data (2012) (0)
- Multi-label Classification: Inconsistency, Ambiguity and Class Balanced KNN Classification (2010) (0)
- Improved algorithms for shape modeling and registration (2008) (0)
- From phenotype to genotype: a structured sparse learning framework for imaging genetics studies (2012) (0)
- Mixtures of probabilistic PCA with missing data (2010) (0)
- Learning Task Relational Structure for Multi-task Feature Learning (2016) (0)
- A computational framework for human-centered multimodal data analysis (2011) (0)
- Towards adaptive dialogue systems for assistive living environments (2013) (0)
- Identification of novel cortical surface biomarkers for predicting cognitive outcomes based on group-level` 2,1 norm (2012) (0)
- Genome-wide analysis of newly developed quantitative phenotypes of astigmatism (2014) (0)
- Proceedings of Third International Workshop on Multimodal Brain Image Analysis - Volume 8159 (2013) (0)
- Surface Harmonics for Shape Modeling (2007) (0)
- Bootstrapped Sparse Canonical Correlation Analysis (2018) (0)
- Dual discriminative local coding for tissue aging analysis (2017) (0)
- L G ] 23 N ov 2 01 4 Improved Spectral Clustering via Embedded Label Propagation (2017) (0)
- A Clustering-based approach for prediction of resynchronization therapy (2005) (0)
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What Schools Are Affiliated With Heng-ching Huang?
Heng-ching Huang is affiliated with the following schools: