Heng-ching Huang

Q: What Schools Are Affiliated With Heng-ching Huang

Heng-ching Huang is affiliated with the following schools: University of Pittsburgh, Xidian University, University of Texas at Arlington

Heng-ching Huang's AcademicInfluence.com Rankings

Heng-ching Huang

Engineering

#6505

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Electrical Engineering

#1946

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#2048

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engineering Degrees

Heng-ching Huang

Computer Science

#8582

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#9021

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Data Mining

#201

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#202

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Machine Learning

#3553

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#3597

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Database

#5578

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#5787

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computer-science Degrees

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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

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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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Heng-ching Huang's Degrees

Why Is Heng-ching Huang Influential?

Heng-ching Huang's Published Works

Published Works

What Schools Are Affiliated With Heng-ching Huang?

Heng-ching Huang's AcademicInfluence.com Rankings