Heng Huang

发表

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization

Feiping Nie, Hua Wang, Heng Huang, 2014, ICML.

A Spatio-Temporal Modeling Method for Shape Representation

Fillia Makedon, Heng Huang, Li Shen, 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

A new integrative data mining framework for analyzing the cancer genome atlas data

Heng Huang, Chris Ding, Dijun Luo, 2012 .

Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification

Jian Yang, Heng Huang, Lei Luo, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Optimal Mean Robust Principal Component Analysis

Feiping Nie, Heng Huang, Jianjun Yuan, 2014, ICML.

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint

Feiping Nie, Heng Huang, Heng Huang, 2016, IJCAI.

Robust Dictionary Learning with Capped l1-Norm

Feiping Nie, Heng Huang, Wenhao Jiang, 2015, IJCAI.

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering

Chris H. Q. Ding, Heng Huang, Tao Li, 2008, KDD.

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor

Chris H. Q. Ding, Hua Wang, Heng Huang, 2010, AAAI.

Cascading flowlines and layout modules: Practical strategies for machine duplication in facility layouts

Heng Huang, Shahrukh A. Irani, 2005 .

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, AAAI.

Cluster Indicator Decomposition for Efficient Matrix Factorization

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, IJCAI.

Surface Harmonics for Shape Modeling

Heng Huang, Li Shen, 2007, 2007 IEEE International Conference on Image Processing.

Direct Hashing Without Pseudo-Labels

Heng Huang, Feng Zheng, Heng Huang, 2018, AAAI.

Clinical Information Extraction via Convolutional Neural Network pdf

Peng Li, Heng Huang, Heng Huang, 2016, ArXiv.

Demystifying Dropout

Jian Pei, Heng Huang, Hongchang Gao, 2019, ICML.

Video Recovery via Learning Variation and Consistency of Images

Heng Huang, Weidong Cai, Shangqian Gao, 2017, AAAI.

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures

Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, 2013, MBIA.

No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases

Heng Huang, Xiuzhen Cheng, Gautam Das, 2012, Int. J. Heal. Inf. Syst. Informatics.

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, Bioinform..

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning

Heng Huang, Lei Luo, Heng Huang, 2018, AAAI.

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2012, RECOMB.

Non-Greedy L21-Norm Maximization for Principal Component Analysis pdf

Feiping Nie, Heng Huang, 2016, ArXiv.

Heterogeneous image feature integration via multi-modal spectral clustering

Feiping Nie, Heng Huang, Xiao Cai, 2011, CVPR 2011.

Genotype-phenotype association study via new multi-task learning model

Dinggang Shen, Heng Huang, Zhouyuan Huo, 2018, PSB.

Decoupled Parallel Backpropagation with Convergence Guarantee

Bin Gu, Heng Huang, Qian Yang, 2018, ICML.

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization

Feiping Nie, Hua Wang, Heng Huang, 2015, ACM Trans. Knowl. Discov. Data.

Robust and discriminative distance for Multi-Instance Learning

Feiping Nie, Hua Wang, Heng Huang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins

Jie Xu, Feiping Nie, Heng Huang, 2017, IJCAI.

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model

Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, 2017, IPMI.

Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet

Heng Huang, Soontorn Oraintara, An P. N. Vo, 2010, Bioinform..

New Graph Structured Sparsity Model for Multi-label Image Annotations

Feiping Nie, Heng Huang, Weidong Cai, 2013, 2013 IEEE International Conference on Computer Vision.

Distributed Asynchronous Dual-Free Stochastic Dual Coordinate Ascent

Heng Huang, Zhouyuan Huo, 2016 .

Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling

Heng Huang, Mei Chen, David Dagan Feng, 2013, BMC Bioinformatics.

Semi-Supervised Classifications via Elastic and Robust Embedding

Feiping Nie, Hua Wang, Heng Huang, 2017, AAAI.

Large Kernel Refine Fusion Net for Neuron Membrane Segmentation

Heng Huang, Chaoyi Zhang, Weidong Cai, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules

Yang Wang, Andrew J. Saykin, Heng Huang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks

Yurong Xu, Fillia Makedon, Heng Huang, 2007, Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07).

Symmetric two dimensional linear discriminant analysis (2DLDA)

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning

Jian Pei, Bin Gu, Heng Huang, 2019, KDD.

Toward structural sparsity: an explicit $$\ell _{2}/\ell _0$$ approach

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2013, 2010 IEEE International Conference on Data Mining.

Supervised and Projected Sparse Coding for Image Classification

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2013, AAAI.

Image annotation using multi-label correlated Green's function

Chris H. Q. Ding, Hua Wang, Heng Huang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A New Smoothing Model for Analyzing Array CGH Data

Heng Huang, Soontorn Oraintara, An P. N. Vo, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix

Feiping Nie, Heng Huang, Xiaoqian Wang, 2016, KDD.

Social trust prediction using heterogeneous networks

Feiping Nie, Heng Huang, Yu Lei, 2013, TKDD.

Clustering and projected clustering with adaptive neighbors

Feiping Nie, Heng Huang, Xiaoqian Wang, 2014, KDD.

Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks

Chris H. Q. Ding, Hua Wang, Heng Huang, 2013, J. Comput. Biol..

Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling

Fillia Makedon, Heng Huang, Li Shen, 2006, SPIE Medical Imaging.

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2011, 2011 International Conference on Computer Vision.

Large-scale adaptive semi-supervised learning via unified inductive and transductive model

Feiping Nie, Heng Huang, De Wang, 2014, KDD.

An overview of AMI data preprocessing to enhance the performance of load forecasting

Heng Huang, Wei-Jen Lee, Franklin L. Quilumba, 2014, 2014 IEEE Industry Application Society Annual Meeting.

Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis

Heng Huang, Soontorn Oraintara, An P. N. Vo, 2009, J. Bioinform. Comput. Biol..

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization pdf

Heng Huang, Zhouyuan Huo, Zhouyuan Huo, 2016, AAAI 2016.

Cost effective depression patient thought record categorization via self-taught learning

Fillia Makedon, Hua Wang, Heng Huang, 2011, PETRA '11.

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers pdf

Feiping Nie, Korris Fu-Lai Chung, Heng Huang, 2015, ArXiv.

Regularized Modal Regression with Applications in Cognitive Impairment Prediction

Dinggang Shen, Hong Chen, Heng Huang, 2017, NIPS.

Large Margin Aggregation of Local Estimates for Medical Image Classification

Heng Huang, Mei Chen, David Dagan Feng, 2014, MICCAI.

New Robust Clustering Model for Identifying Cancer Genome Landscapes

Heng Huang, Xiaoqian Wang, Hongchang Gao, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Sparse representation of whole-brain fMRI signals for identification of functional networks

Heng Huang, Jinglei Lv, Tuo Zhang, 2015, Medical Image Anal..

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms pdf

Rong Wang, Feiping Nie, Heng Huang, 2019, ArXiv.

New Robust Metric Learning Model Using Maximum Correntropy Criterion

Jie Xu, Heng Huang, Cheng Deng, 2018, KDD.

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2012, 2012 IEEE 12th International Conference on Data Mining.

A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis

Fillia Makedon, Heng Huang, Li Shen, 2005, MICCAI.

An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography

Fillia Makedon, Heng Huang, Ling Gao, 2005, SPIE Medical Imaging.

The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation

Korris Fu-Lai Chung, Heng Huang, Wenhao Jiang, 2016, AAAI.

Linear Discriminant Analysis: New Formulations and Overfit Analysis

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, AAAI.

Bone texture characterization with fisher encoding of local descriptors

Heng Huang, Yun Zhou, David Dagan Feng, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization

Chris H. Q. Ding, Hua Wang, Heng Huang, 2011, CIKM '11.

Emotion Detection via Discriminant Laplacian Embedding

Fillia Makedon, Hua Wang, Heng Huang, 2014, Universal Access in the Information Society.

Tensor reduction error analysis — Applications to video compression and classification

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Modeling Task fMRI Data via Deep Convolutional Autoencoder

Yu Zhao, Heng Huang, Xintao Hu, 2017, IPMI.

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF

Feiping Nie, Heng Huang, Tom Weidong Cai, 2015, CIKM.

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images

Yang Song, Yanning Zhang, Heng Huang, 2020, IEEE Transactions on Medical Imaging.

Multi-view Subspace Clustering

Xuelong Li, Feiping Nie, Heng Huang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Trust prediction via aggregating heterogeneous social networks

Feiping Nie, Heng Huang, Jin Huang, 2012, CIKM.

Flexible Shift-Invariant Locality and Globality Preserving Projections

Feiping Nie, Heng Huang, Xiao Cai, 2014, ECML/PKDD.

Balanced Self-Paced Learning for Generative Adversarial Clustering Network

Cheng Deng, Heng Huang, Xiaoqian Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, Bioinform..

Joint Schatten $$p$$p-norm and $$\ell _p$$ℓp-norm robust matrix completion for missing value recovery

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2013, Knowledge and Information Systems.

Post-classification smoothing of digital classification map of St. Louis, Missouri

Heng Huang, Curt H. Davis, Justin J. Legarsky, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Solenoid and non-solenoid protein recognition using stationary wavelet packet transform

Heng Huang, An P. N. Vo, Nha Nguyen, 2010, Bioinform..

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease

Shannon L. Risacher, Andrew J. Saykin, Hua Wang, 2018, MICCAI.

Harmonic Mean Linear Discriminant Analysis

Feiping Nie, Heng Huang, Chris Ding, 2019, IEEE Transactions on Knowledge and Data Engineering.

Group Sparse Additive Machine

Hong Chen, Heng Huang, Cheng Deng, 2017, NIPS.

Design of a Compact Wireless Multi-Channel High Area-Efficient Stimulator with Arbitrary Channel Configuration

Zhihua Wang, Heng Huang, Dongmei Li, 2017, Micromachines.

Temporal Correlation Structure Learning for MCI Conversion Prediction

Dinggang Shen, Heng Huang, Weidong Cai, 2018, MICCAI.

Large-Scale Multi-View Spectral Clustering via Bipartite Graph

Feiping Nie, Heng Huang, Junzhou Huang, 2015, AAAI.

Multi-Class L2,1-Norm Support Vector Machine

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, 2011 IEEE 11th International Conference on Data Mining.

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning

Hua Wang, Heng Huang, Xinbo Gao, 2016, AAAI.

Requirements for implementation of localization into real-world assistive environments

Eric Becker, Yurong Xu, Fillia Makedon, 2008, PETRA '08.

A Pattern Recognition Approach for Manufacturing Facility Compaction by Machining Function Combination Using Flexible Manufacturing Modules

Heng Huang, Jin Zhou, Shahrukh A. Irani, 2003 .

Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

Heng Huang, Wei-Jen Lee, Franklin L. Quilumba, 2015, IEEE Transactions on Smart Grid.

Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing

Heng Huang, Soontorn Oraintara, An P. N. Vo, 2010, J. Comput. Biol..

The Constrained Laplacian Rank Algorithm for Graph-Based Clustering

Feiping Nie, Heng Huang, Michael I. Jordan, 2016, AAAI.

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment

Dinggang Shen, Heng Huang, Zhouyuan Huo, 2016, MICCAI.

Cardiac motion analysis to improve pacing site selection in CRT.

Fillia Makedon, Rong Zhang, Heng Huang, 2006, Academic radiology.

Cross Domain Model Compression by Structurally Weight Sharing

Cheng Deng, Heng Huang, Shangqian Gao, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears

Heng Huang, Mei Chen, David Dagan Feng, 2015, ICONIP.

Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior

Heng Huang, Yongzhen Wang, Xiaozhong Liu, 2019, WWW.

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering

Feiping Nie, Heng Huang, Jin Huang, 2015, IJCAI.

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model

Jingwen Yan, Heng Huang, Xiaohui Yao, 2018, J. Comput. Biol..

Xiaogang Wang, Heng Huang, David Dagan Feng, 2013, MICCAI.

High dimensional statistical shape model for medical image analysis

Fillia Makedon, Heng Huang, Roderick W. McColl, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Identifying functional networks via sparse coding of whole brain FMRI signals

Junwei Han, Jing Zhang, Heng Huang, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding

Heng Huang, Feng Zheng, Xin Miao, 2018, IJCAI.

Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis

Fillia Makedon, Lei Zhang, Heng Huang, 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

Large-Scale Machine Learning Algorithms for Biomedical Data Science

Heng Huang, 2019, BCB.

Video Motion Segmentation Using New Adaptive Manifold Denoising Model

Heng Huang, Dijun Luo, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Ball Ranking Machine for Content-Based Multimedia Retrieval

Heng Huang, Dijun Luo, 2011, IJCAI.

Large Margin Local Estimate With Applications to Medical Image Classification

Heng Huang, Mei Chen, David Dagan Feng, 2015, IEEE Transactions on Medical Imaging.

Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior

Heng Huang, Xiaozhong Liu, Jian Wang, 2020, SIGIR.

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model

Yang Wang, Andrew J. Saykin, Feiping Nie, 2014, MICCAI.

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis

Heng Huang, Yong Xia, Siqi Liu, 2018, MICCAI.

Social Trust Prediction Using Rank-k Matrix Recovery

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2013, IJCAI.

A generative probability model of joint label fusion for multi-atlas based brain segmentation

Daoqiang Zhang, Dinggang Shen, Feiping Nie, 2014, Medical Image Anal..

Multi-label Feature Transform for Image Classifications

Chris H. Q. Ding, Hua Wang, Heng Huang, 2010, ECCV.

New l1-Norm Relaxations and Optimizations for Graph Clustering

Xuelong Li, Feiping Nie, Hua Wang, 2016, AAAI.

Parallelization with Multiplicative Algorithms for Big Data Mining

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2012, 2012 IEEE 12th International Conference on Data Mining.

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning

Wei Liu, Feiping Nie, Korris Fu-Lai Chung, 2015, IJCAI.

Image Categorization Using Directed Graphs

Chris H. Q. Ding, Hua Wang, Heng Huang, 2010, ECCV.

Dual discriminative local coding for tissue aging analysis

Heng Huang, Mei Chen, Yue Wang, 2017, Medical Image Anal..

K-means+ method for improving gene selection for classification of microarray data

Fillia Makedon, Heng Huang, Li Shen, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Refined Spectral Clustering via Embedded Label Propagation

Zhihui Li, Feiping Nie, Heng Huang, 2017, Neural Computation.

Improved Spectral Clustering via Embedded Label Propagation pdf

Yi Yang, Feiping Nie, Heng Huang, 2014, ArXiv.

Fusing subcategory probabilities for texture classification

Heng Huang, David Dagan Feng, Qing Li, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Subspace Representation and Discovery

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, ECML/PKDD.

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

Athanasios V. Vasilakos, Yu Zhao, Heng Huang, 2017, Neurocomputing.

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks

Hong Chen, Shannon L. Risacher, Andrew J. Saykin, 2018, Bioinform..

Towards Structural Sparsity: An Explicit l2/l0 Approach

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2010, ICDM.

Low-Level Linear Memory Management

Heng Huang, Chris Hawblitzel, Lea Wittie, 2003 .

Self-Paced Network Embedding

Heng Huang, Hongchang Gao, 2018, KDD.

UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports

Peng Li, Heng Huang, Heng Huang, 2016, *SEMEVAL.

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, Bioinform..

Robust nonnegative matrix factorization using L21-norm

Chris H. Q. Ding, Heng Huang, Deguang Kong, 2011, CIKM '11.

A Novel Surface Registration Algorithm With Biomedical Modeling Applications

Fillia Makedon, Andrew J. Saykin, Heng Huang, 2007, IEEE Transactions on Information Technology in Biomedicine.

Chris H. Q. Ding, Hua Wang, Heng Huang, 2014, RECOMB.

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering

Feiping Nie, Heng Huang, De Wang, 2016, IJCAI.

Learning Task Relational Structure for Multi-task Feature Learning

Feiping Nie, Heng Huang, De Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification

Heng Huang, Hang Chang, Weidong Cai, 2017, MICCAI.

Multiclass Capped ℓp-Norm SVM for Robust Classifications

Feiping Nie, Heng Huang, Xiaoqian Wang, 2017, AAAI.

Globally and Locally Consistent Unsupervised Projection

Feiping Nie, Hua Wang, Heng Huang, 2014, AAAI.

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, IJCAI.

Lung Nodule Classification With Multilevel Patch-Based Context Analysis

Heng Huang, Yun Zhou, David Dagan Feng, 2014, IEEE Transactions on Biomedical Engineering.

Context Enhanced Graphical Model for Object Localization in Medical Images

Heng Huang, David Dagan Feng, Weidong Cai, 2012, MCV.

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, AAAI.

Dyadic transfer learning for cross-domain image classification

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, 2011 International Conference on Computer Vision.

On the eigenvectors of p-Laplacian

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, Machine Learning.

Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study

Andrew J. Saykin, Moo K. Chung, Heng Huang, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

ProGAN: Network Embedding via Proximity Generative Adversarial Network

Jian Pei, Heng Huang, Hongchang Gao, 2019, KDD.

Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering

Heng Huang, Hanbo Chen, Tianming Liu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Robust and Discriminative Self-Taught Learning

Feiping Nie, Hua Wang, Heng Huang, 2013, ICML.

Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels

Heng Huang, Yanhua Yang, Kamran Ghasedi Dizaji, 2018, WSDM.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Adaptive Loss Minimization for Semi-Supervised Elastic Embedding

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2022 .

Image annotation using bi-relational graph of images and semantic labels

Chris H. Q. Ding, Hua Wang, Heng Huang, 2011, CVPR 2011.

Discriminant Laplacian Embedding

Chris H. Q. Ding, Hua Wang, Heng Huang, 2010, AAAI.

Conditional generative adversarial network for gene expression inference

Heng Huang, Xiaoqian Wang, Kamran Ghasedi Dizaji, 2018, Bioinform..

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, NIPS.

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2012, RECOMB.

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks

Chris H. Q. Ding, Hua Wang, Heng Huang, 2012, RECOMB.

Heterogeneous Data Fusion to Type Brain Tumor Biopsies

Vangelis Metsis, Fillia Makedon, Heng Huang, 2009, AIAI.

Asynchronous Stochastic Block Coordinate Descent with Variance Reduction

Bin Gu, Heng Huang, Zhouyuan Huo, 2016, 1610.09447.

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model

Dinggang Shen, Jie Xu, Heng Huang, 2017, IJCAI.

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut

Yang Wang, Lin Yan, Joaquín Goñi, 2015, MICCAI.

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model

Feiping Nie, Heng Huang, Weidong Cai, 2013, 2013 IEEE International Conference on Computer Vision.

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction pdf

Bin Gu, Heng Huang, Zhouyuan Huo, 2016, ArXiv.

Asynchronous Doubly Stochastic Sparse Kernel Learning

Bin Gu, Heng Huang, Miao Xin, 2018, AAAI.

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction pdf

Bin Gu, Heng Huang, Zhouyuan Huo, 2016, ArXiv.

A garbage-collecting typed assembly language

Juan Chen, Heng Huang, Chris Hawblitzel, 2007, TLDI '07.

Custom design of facility layouts for multiproduct facilities using layout modules

Heng Huang, Shahrukh A. Irani, 2000, IEEE Trans. Robotics Autom..

Directed Graph Learning via High-Order Co-linkage Analysis

Chris H. Q. Ding, Hua Wang, Heng Huang, 2010, ECML/PKDD.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Exact Top-k Feature Selection via ℓ2,0-Norm Constraint

Feiping Nie, Heng Huang, Xiao Cai, 2022 .

Load model development for next generation appliances

Heng Huang, Wei-Jen Lee, Franklin L. Quilumba, 2011, 2011 IEEE Industry Applications Society Annual Meeting.

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes

Feiping Nie, Heng Huang, Dajiang Zhu, 2012, MICCAI.

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm

Shannon L. Risacher, Andrew J. Saykin, Lei Du, 2014, Bioinform..

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis

Andrew J. Saykin, Feiping Nie, Jingwen Yan, 2013, MICCAI.

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations

Chris H. Q. Ding, Hua Wang, Heng Huang, 2013, IJCAI.

DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms

Dinggang Shen, Vangelis Metsis, Fillia Makedon, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Discovering hierarchical common brain networks via multimodal deep belief network

Heng Huang, Dajiang Zhu, Tianming Liu, 2019, Medical Image Anal..

An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds

Heng Huang, Zheng Gao, Zhuoren Jiang, 2018, eCOM@SIGIR.

Chris H. Q. Ding, Hua Wang, Heng Huang, 2014, RECOMB.

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms pdf

Feiping Nie, Heng Huang, Zheng Wang, 2019, ArXiv.

Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors

Heng Huang, Mei Chen, David Dagan Feng, 2016, BMC Bioinformatics.

Joint stage recognition and anatomical annotation of drosophila gene expression patterns

Chris H. Q. Ding, Hua Wang, Heng Huang, 2012, Bioinform..

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation

Heng Huang, Mei Chen, David Dagan Feng, 2017, Neurocomputing.

Asynchronous Doubly Stochastic Group Regularized Learning

Bin Gu, Heng Huang, Zhouyuan Huo, 2018, AISTATS.

Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning

Jiebo Luo, Hua Wang, Heng Huang, 2012, 2012 IEEE International Symposium on Multimedia.

Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization

Fillia Makedon, Hua Wang, Heng Huang, 2012, Personal and Ubiquitous Computing.

Non-negative Laplacian Embedding

Chris H. Q. Ding, Heng Huang, Tao Li, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method

Shannon L. Risacher, Andrew J. Saykin, Lei Du, 2016, Bioinform..

Direct Shape Regression Networks for End-to-End Face Alignment

Heng Huang, Xiantong Zhen, Xianglong Liu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Training Neural Networks Using Features Replay

Bin Gu, Heng Huang, Zhouyuan Huo, 2018, NeurIPS.

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2013, IPMI.

A New Hybrid Technique for Dermatological Image Registration

Heng Huang, P. Bergstresser, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Graph Evolution via Social Diffusion Processes

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, ECML/PKDD.

Learning frame relevance for video classification

Yi Yang, Feiping Nie, Hua Wang, 2011, ACM Multimedia.

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction pdf

Bin Gu, Heng Huang, Zhouyuan Huo, 2016, ArXiv.

Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies

Xiaogang Wang, Heng Huang, David Dagan Feng, 2014, IEEE Transactions on Medical Imaging.

Maximum Margin Multi-Instance Learning

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, NIPS.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Multi-View K-Means Clustering on Big Data

Feiping Nie, Heng Huang, Xiao Cai, 2022 .

Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells

Heng Huang, Mei Chen, Weidong Cai, 2018, IEEE Transactions on Medical Imaging.

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics

Shannon L. Risacher, Andrew J. Saykin, Lei Du, 2014, MICCAI.

Functional analysis of cardiac MR images using SPHARM modeling

Fillia Makedon, Heng Huang, Ling Gao, 2005, SPIE Medical Imaging.

Consensus spectral clustering in near-linear time

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, 2011 IEEE 27th International Conference on Data Engineering.

Discriminative Unsupervised Dimensionality Reduction

Feiping Nie, Heng Huang, Yun Liu, 2015, IJCAI.

Spectral Rotation versus K-Means in Spectral Clustering

Feiping Nie, Heng Huang, Jin Huang, 2013, AAAI.

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, 2011 IEEE 11th International Conference on Data Mining.

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation pdf

Heng Huang, David Dagan Feng, Yong Xia, 2018, ArXiv.

Early Active Learning via Robust Representation and Structured Sparsity

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2013, IJCAI.

An interactive user interface system for Alzheimer's intervention

Fillia Makedon, Andrew J. Saykin, Heng Huang, 2010, PETRA '10.

Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning

Lin Yan, Heng Huang, Weidong Cai, 2015, KDD.

Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease

Dinggang Shen, Heng Huang, Xiaoqian Wang, 2016, MICCAI.

Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform

Heng Huang, Soontorn Oraintara, Yuhang Wang, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering

Fillia Makedon, Feiping Nie, Hua Wang, 2011, IJCAI.

Local Centroids Structured Non-Negative Matrix Factorization

Feiping Nie, Heng Huang, Hongchang Gao, 2017, AAAI.

Efficient Registration of 3D SPHARM Surfaces

Fillia Makedon, Andrew J. Saykin, Heng Huang, 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).

Cauchy Graph Embedding

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, ICML.

Robust Discrete Matrix Completion

Feiping Nie, Heng Huang, Jin Huang, 2013, AAAI.

Mining Frequent and Periodic Association Patterns

Heng Huang, Guanling Chen, Minkyong Kim, 2005 .

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization

Heng Huang, Feihu Huang, Songcan Chen, 2020, ICML.

Robust tensor factorization using R1 norm

Chris H. Q. Ding, Heng Huang, C. Ding, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2011, MICCAI.

Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization

Peng Li, Heng Huang, Tom Weidong Cai, 2015, CIKM.

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2016, MICCAI.

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, SIGIR.

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines

Bin Gu, Heng Huang, Cheng Deng, 2018, ICML.

Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations

Heng Huang, Haibin Sun, An P. N. Vo, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learning Instance Specific Distance for Multi-Instance Classification

Feiping Nie, Hua Wang, Heng Huang, 2011, AAAI.

Multi-Level Metric Learning via Smoothed Wasserstein Distance

Heng Huang, Jie Xu, Cheng Deng, 2018, IJCAI.

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics

Shannon L. Risacher, Andrew J. Saykin, Lei Du, 2015, BIH.

New Balanced Active Learning Model and Optimization Algorithm

Heng Huang, Yijun Huang, Ji Liu, 2018, IJCAI.

Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping

Bin Gu, Heng Huang, Guodong Liu, 2017, KDD.

Spatio-temporal analysis tool for modeling pulmonary nodules in MR images

Fillia Makedon, Heng Huang, Ling Gao, 2006, SPIE Medical Imaging.

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, NIPS.

Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee

Heng Huang, Bin Gu, Runxue Bao, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning

Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, 2012, MBIA.

Convex Sparse PCA for Unsupervised Feature Learning

Chengqi Zhang, Yi Yang, Feiping Nie, 2014, ACM Trans. Knowl. Discov. Data.

Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality pdf

Heng Huang, Zhouyuan Huo, 2016, ArXiv.

A Closed Form Solution to Multi-View Low-Rank Regression

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2015, AAAI.

Object localization in medical images based on graphical model with contrast and interest-region terms

Heng Huang, David Dagan Feng, Weidong Cai, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Modeling task fMRI data via mixture of deep expert networks

Yu Zhao, Heng Huang, Xintao Hu, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Multi-Horizon Time Series Forecasting with Temporal Attention Learning

Yi Pan, Di Wu, Jian Pei, 2019, KDD.

Latent source mining of fMRI data via deep belief network

Wei Zhang, Heng Huang, Lei Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

An event driven framework for assistive CPS environments

Eric Becker, Fillia Makedon, Heng Huang, 2009, SIGBED.

Learning Robust Locality Preserving Projection via p-Order Minimization

Feiping Nie, Hua Wang, Heng Huang, 2015, AAAI.

Feature Selection via Global Redundancy Minimization

Feiping Nie, Heng Huang, De Wang, 2015, IEEE Transactions on Knowledge and Data Engineering.

Symmetric two dimensional linear discriminant analysis (2DLDA)

Heng Huang, Chris Ding, Dijun Luo, 2009, CVPR.

Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning

Andrew J. Saykin, Jingwen Yan, Jason H. Moore, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

From phenotype to genotype: a structured sparse learning framework for imaging genetics studies

Heng Huang, Hua Wang, Hua Wang, 2012 .

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph

Chris H. Q. Ding, Hua Wang, Heng Huang, 2012, ECCV.

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine

Bin Gu, Heng Huang, Xiao-Tong Yuan, 2018, KDD.

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, NIPS.

Texture analysis of tissue aging using global and cluster constrained local coding

Heng Huang, Mei Chen, Yue Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction

Dinggang Shen, Heng Huang, Ziming Zhang, 2014, Front. Aging Neurosci..

Structured sparse CCA for brain imaging genetics via graph OSCAR

Shannon L. Risacher, Andrew J. Saykin, Lei Du, 2016, BMC Systems Biology.

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm

Feiping Nie, Heng Huang, Zhouyuan Huo, 2016, KDD.

Heng Huang, Ling Gao, Yuhang Wang, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Latent source mining in FMRI data via deep neural network

Heng Huang, Jinglei Lv, Xintao Hu, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection

Yi Yang, Feiping Nie, Heng Huang, 2014, AAAI.

A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network

Heng Huang, Alex D. Leow, Lei Guo, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Robust Manifold Nonnegative Matrix Factorization

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2014, ACM Trans. Knowl. Discov. Data.

A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis

Fillia Makedon, Heng Huang, Fei Xiong, 2005, Panhellenic Conference on Informatics.

Semi-Supervised Generative Adversarial Network for Gene Expression Inference

Heng Huang, Xiaoqian Wang, Kamran Ghasedi Dizaji, 2018, KDD.

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization pdf

Heng Huang, Feihu Huang, Songcan Chen, 2019, IJCAI.

Mixtures of probabilistic PCA with missing data

Heng Huang, Farhad Kamangar, Sajjad Moradi, 2010 .

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis

Heng Huang, Lin Yan, Chris Ding, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Joint Generative Moment-Matching Network for Learning Structural Latent Code

Heng Huang, Hongchang Gao, Heng Huang, 2018, IJCAI.

Link prediction of multimedia social network via unsupervised face recognition

Heng Huang, Dijun Luo, Heng Huang, 2009, ACM Multimedia.

Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model

Heng Huang, Kamran Ghasedi Dizaji, 2018, AAAI.

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization

Heng Huang, Zhouyuan Huo, Zhouyuan Huo, 2017, AAAI.

Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding pdf

Peng Li, Heng Huang, Heng Huang, 2016, ArXiv.

A clustering-based approach for prediction of cardiac resynchronization therapy

Fillia Makedon, Heng Huang, Ling Gao, 2005, SAC '05.

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model

Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, 2017, RECOMB.

Multi-label ReliefF and F-statistic feature selections for image annotation

Chris H. Q. Ding, Heng Huang, Haifeng Zhao, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Locality-constrained Subcluster Representation Ensemble for lung image classification

Heng Huang, David Dagan Feng, Yang Song, 2015, Medical Image Anal..

Low-Rank Tensor Completion with Spatio-Temporal Consistency

Feiping Nie, Hua Wang, Heng Huang, 2014, AAAI.

Cognitive Assessment Prediction in Alzheimer’s Disease by Multi-Layer Multi-Target Regression

Dinggang Shen, Heng Huang, Xiantong Zhen, 2018, Neuroinformatics.

Emotion detection via discriminative kernel method

Fillia Makedon, Hua Wang, Heng Huang, 2010, PETRA '10.

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK)

Feiping Nie, Heng Huang, De Wang, 2014, ECML/PKDD.

Linear Time Solver for Primal SVM

Feiping Nie, Heng Huang, Yizhen Huang, 2014, International Conference on Machine Learning.

Towards adaptive dialogue systems for assistive living environments

Heng Huang, Alexandros Papangelis, Vangelis Karkaletsis, 2013, IUI '13 Companion.

Conditional Random Field Enhanced Graph Convolutional Neural Networks

Jian Pei, Heng Huang, Hongchang Gao, 2019, KDD.

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, ECML/PKDD.

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts

Huan Liu, Heng Huang, Jinglei Lv, 2018, Neuroinformatics.

Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models

Heng Huang, Hongchang Gao, Heng Huang, 2018, IJCAI.

Joint Capped Norms Minimization for Robust Matrix Recovery

Feiping Nie, Heng Huang, Zhouyuan Huo, 2017, IJCAI.

Performance evaluation of two magnetic recovery circuits of forward converter

Yang Zhang, Heng Huang, Wei-Jen Lee, 2016, 2016 IEEE Industry Applications Society Annual Meeting.

UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

Peng Li, Heng Huang, Heng Huang, 2016, *SEMEVAL.

Optimal Discrete Matrix Completion

Heng Huang, Ji Liu, Zhouyuan Huo, 2016, AAAI.

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2017, IEEE Transactions on Big Data.

Multi-label Linear Discriminant Analysis

Chris H. Q. Ding, Hua Wang, Heng Huang, 2010, ECCV.

Factors that Impact the Accuracy of Clustering-Based Load Forecasting

Xin Wang, Heng Huang, Wei-Jen Lee, 2015, IEEE Transactions on Industry Applications.

Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors

Heng Huang, Mei Chen, David Dagan Feng, 2016, ECCV Workshops.

Error Analysis of Generalized Nyström Kernel Regression

Hong Chen, Heng Huang, Weidong Cai, 2016, NIPS.

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, 2011 International Conference on Computer Vision.

Learning A Structured Optimal Bipartite Graph for Co-Clustering

Feiping Nie, Heng Huang, Cheng Deng, 2017, NIPS.

Face Aging by Sparse Representation

Chun Chen, Jiajun Bu, Heng Huang, 2010, PCM.

An Iterative Locally Linear Embedding Algorithm

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, ICML.

Unsupervised and semi-supervised learning via ℓ1-norm graph

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, 2011 International Conference on Computer Vision.

Deep Attributed Network Embedding

Heng Huang, Hongchang Gao, Heng Huang, 2018, IJCAI.

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization

Feiping Nie, Hua Wang, Heng Huang, 2013, 2013 IEEE International Conference on Computer Vision.

Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis

Fillia Makedon, Heng Huang, Li Shen, 2005, MICCAI.

Multi-View Clustering and Feature Learning via Structured Sparsity

Feiping Nie, Hua Wang, Heng Huang, 2013, ICML.

Boundary-aware Graph Reasoning for Semantic Segmentation pdf

Heng Huang, Yong Xia, Haozhe Jia, 2021, ArXiv.

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images pdf

Heng Huang, Yong Xia, Haozhe Jia, 2021, ArXiv.

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Heng Huang, Weidong Cai, Tiange Xiang, 2021, MICCAI.

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis pdf

Heng Huang, Lauren O'Donnell, Tiange Xiang, 2021, ArXiv.

Cortical surface biomarkers for predicting cognitive outcomes using group l 2,1 norm

Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, 2015, Neurobiology of Aging.

1116-14 Three-dimensional analysis of cardiac magnetic resonance imaging the using spherical harmonics model

Fillia Makedon, Heng Huang, Justin D. Pearlman, 2004 .

Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain

Heng Huang, Soontorn Oraintara, An P. N. Vo, 2008, BMC Genomics.

Spatio-temporal modeling of lung images for cancer detection.

Fillia Makedon, Heng Huang, Wei Zheng, 2006, Oncology reports.