Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang. Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model. The 21st Annual International Conference on Research in Computational Molecular Biology (RECOMB 2017), accepted to appear.

Zhouyuan Huo, Heng Huang. Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), accepted to appear.

Hongchang Gao, Feiping Nie, Heng Huang. Local Centroids Structured Non-negative Matrix Factorization. Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), accepted to appear.

Feiping Nie, Xiaoqian Wang, Heng Huang. Multiclass Capped l_p-Norm SVM for Robust Classifications. Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), accepted to appear.

Zhouyuan Huo, Shangqian Gao,Weidong Cai, Heng Huang. Video Recovery via Learning Variation and Consistency of Images. Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), accepted to appear.

Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang. Semi-Supervised Classifications via Elastic and Robust Embedding. Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), accepted to appear.

Hong Chen, Haifeng Xia, Weidong Cai, Heng Huang. Error Analysis of Generalized Nystrom Kernel Regression. Neural Information Processing Systems (NIPS 2016), accepted to appear.

Hongchang Gao, Xiaoqian Wang, Heng Huang. New Robust Clustering Model for Identifying Cancer Genome Landscapes. IEEE International Conference on Data Mining (ICDM 2016), accepted to appear.

Dijun Luo, Zhouyuan Huo, YangWang, Andrew J. Saykin, Li Shen, Heng Huang. New Probabilistic Multi-Graph Decomposition Model to Identify Consistent Human Brain Network Modules. IEEE International Conference on Data Mining (ICDM 2016), accepted to appear.

De Wang, Feiping Nie, Heng Huang. Learning Task Relational Structure for Multi-Task Feature Learning. IEEE International Conference on Data Mining (ICDM 2016), accepted to appear.

Xiaoqian Wang, Feiping Nie, Heng Huang. Structured Doubly Stochastic Matrix for Graph Based Clustering. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), Research Track, accepted to appear.

Zhouyuan Huo, Feiping Nie, Heng Huang. Robust and Effective Metric Learning Using Capped Trace Norm. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), Research Track, accepted to appear.

Zhouyuan Huo, Dinggang Shen, Heng Huang. New Multi-Task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), accepted to appear.

Xiaoqian Wang, Dinggang Shen, Heng Huang. Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), accepted to appear.

Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen. Structured Spare Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), accepted to appear.

De Wang, Feiping Nie, Heng Huang. Fast Robust Non-negative Matrix Factorization for Large-Scale Data Clustering. 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), accepted to appear.

Feiping Nie, Heng Huang. Subspace Clustering via New Discrete Group Structure Constrained Low-Rank Model. 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), accepted to appear.

Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang. The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 1969-1976.

Zhouyuan Huo, Ji Liu, Heng Huang. Optimal Discrete Matrix Completion. Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 424-430.

Wenhao Jiang, Hongchang Gao, Fu-Lai Korris Chung, Heng Huang. The l_2,1-Norm Stacked Robust Autoencoders for Domain Adaptation. Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 1723-1729.

Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang. Learning Biological Relevance of Drosophila Embryos for Drosophila Gene Expression Pattern Annotations. Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 1324-1330.

Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang. New l₁-Norm Relaxations and Optimizations for Graph Clustering. Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 1962-1968.

Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang. Convex Sparse PCA for Unsupervised Feature Learning. ACM Transactions on Knowledge Discovery from Data (TKDD), in press, 2016.

Hua Wang, Lin Yan, Heng Huang, Chris Ding. From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), in press, 2016.

Nha Nguyen, An Vo, and Heng Huang. Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), in press, 2016.

Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen, ADNI. Structured Sparse Canonical Correlation Analysis for Brain Imaging Genetics: An Improved GraphNet Method. Bioinformatics, 32(10):1544-51, 2016.

Hongchang Gao, Feiping Nie, Heng Huang. Multi-Modal Subspace Clustering. International Conference on Computer Vision (ICCV 2015), pp. 4238-4246.

Hongchang Gao, Feiping Nie, Weidong Cai, Heng Huang. Robust Capped Norm Nonnegative Matrix Factorization. 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), pp. 871-880.

Peng Li, Weidong Cai, Heng Huang. Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization. 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), pp. 1401-1410.

Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang. Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration. 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Conference (KDD 2015), pp. 339-348.

Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquin Goni Cortes, Yang Wang, Feiping Nie, John West, Andrew Saykin, Li Shen, Heng Huang. Identifying Connectome Module Patterns via New Balanced Multi-Graph Normalized Cut. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), pp. 169-176.

Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang. Discriminative Unsupervised Dimensionality Reduction. Twenty-Fourth International Joint Conferences on Artificial Intelligence (IJCAI 2015), pp. 3925-3931.

Wenhao Jiang, Feiping Nie, Heng Huang. Robust Dictionary Learning with Capped L1 Norm. Twenty-Fourth International Joint Conferences on Artificial Intelligence (IJCAI 2015), pp. 3590-3596.

Jin Huang, Feiping Nie, Heng Huang. A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. Twenty-Fourth International Joint Conferences on Artificial Intelligence (IJCAI 2015), pp. 3569-3575.

Yang Song, Weidong Cai, Qing Li, Dagan Feng, Heng Huang. Fusing Subcategory Probabilities for Texture Classification. Twenty-Eighth IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp. 4409-4417.

Hua Wang, Feiping Nie, Heng Huang. Learning Robust Locality Preserving Projection via p-Order Minimization. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 3059-3065.

Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang. Large-Scale Multi-View Spectral Clustering via Bipartite Graph. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 2750-2756.

Shuai Zheng, Xiao Cai, Chris Ding, Feiping Nie, Heng Huang. A Closed Form Solution to Multiview Low-rank Regression. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 1973-1979.

De Wang, Feiping Nie, Heng Huang. Global Redundancy Minimization for Feature Ranking. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(10), pp. 2743-2755, 2015.

Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, David Dagan Feng. Locality constrained Subcluster Representation Ensemble for Lung Image Classification. Medical Image Analysis (MIA), 22(1), pp. 102-113, 2015.

Hua Wang, Feiping Nie, Heng Huang. Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Tri-Factorization. ACM Transactions on Knowledge Discovery from Data (TKDD), 10(1), pp. 1:1-1:29, 2015.

Yang Song, Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Yue Wang, Michael J. Fulham, Mei Chen. Large Margin Local Estimate with Applications to Medical Image Classification. IEEE Transactions on Medical Imaging (TMI), 34(6), pp. 1362-1377, 2015.

Hua Wang, Heng Huang, Chris Ding. Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. Journal of Computational Biology (JCB), 22(6), pp. 546-562, 2015.

Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu. Sparse Representation of Whole-brain FMRI Signals for Identification of Functional Networks. Medical Image Analysis (MIA), 20(1), pp. 112-134, 2015.

Feiping Nie, Hua Wang, Heng Huang, Chris Ding. Joint Schatten p-Norm and l_p-Norm Robust Matrix Completion for Missing Value Recovery. Knowledge and Information Systems (KAIS), 42(3), pp. 525-544, 2015.

Jingwen Yan, Taiyong Li, Hua Wang, Heng Huang, Jing Wan, Kwangsik Nho, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen. Cortical Surface Biomarkers for Predicting Cognitive Outcomes Using Group l_2,1 Norm. Neurobiology of Aging, 36(1), pp. S185-S193, 2015.

Feiping Nie, Xiao Cai, Heng Huang. Flexible Shift-Invariant Locality and Globality Preserving Projections. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Lecture Notes in Computer Science Volume 8725, pp. 485-500.

De Wang, Feiping Nie, Heng Huang. Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Lecture Notes in Computer Science Volume 8726, pp. 306-321.

De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Weidong Cai, Andrew Saykin, Li Shen, Heng Huang. Human Connectome Module Pattern Detection Using A New Multi-Graph MinMax Cut Model. The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2014), Lecture Notes in Computer Science Volume 8675, pp. 313-320.

Lei Du, Jingwen Yan, Sungeun Kim, Shannon Risacher, Heng Huang, Mark Inlow, Jason Moore, Andrew Saykin, Li Shen. A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2014), Lecture Notes in Computer Science Volume 8675, pp. 329-336.

Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Dagan Feng, Mei Chen. Large Margin Aggregation of Local Estimates for Medical Image Classification. The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2014), Lecture Notes in Computer Science Volume 8674, pp. 196-203.

De Wang, Feiping Nie, Heng Huang. Large-Scale Adaptive Semi-Supervised Learning via Unified Inductive and Transductive Model. The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), pp. 482-491.

Feiping Nie, Xiaoqian Wang, Heng Huang. Clustering and Projected Clustering via Adaptive Neighbor Assignment. The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), pp. 977-986.

Feiping Nie, Jianjun Yuan, Heng Huang. Optimal Mean Robust Principal Component Analysis. The 31st International Conference on Machine Learning (ICML 2014), Journal of Machine Learning Research, W&CP, Vol. 32, No. 1, pp. 1062-1070.

Hua Wang, Feiping Nie, Heng Huang. Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. The 31st International Conference on Machine Learning (ICML 2014), Journal of Machine Learning Research, W&CP, Vol. 32, No. 1, pp. 1836-1844.

Feiping Nie, Yizhen Huang, Heng Huang. New Primal SVM Solver with Linear Computational Cost for Big Data Classifications. The 31st International Conference on Machine Learning (ICML 2014), Journal of Machine Learning Research, W&CP, Vol. 32, No. 1, pp. 505-513.

Hua Wang, Feiping Nie, Heng Huang. Video Recovery via Low-Rank Tensor Completion with Spatio-Temporal Consistency. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 2846-2852.

Hua Wang, Feiping Nie, Heng Huang. Globally and Locally Consistent Unsupervised Projection. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 1328-1333.

Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang. A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 1171-1177.

Dijun Luo, Heng Huang. Video Motion Segmentation Using New Adaptive Manifold Denoising Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp. 65-72.

Hua Wang, Heng Huang, Chris Ding. Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. The 18th International Conference on Research in Computational Molecular Biology (RECOMB 2014), pp. 311-325.

Franklin Quilumba, Wei-jen Lee, Heng Huang, David Wang, Robert Szabados. Using Smart Meter Data to Improve the Accuracy of Intra-Day Load Forecasting Considering Customer Behavior Similarities. IEEE Transactions on Smart Grid, 6(2), pp. 911-918, 2014.

Ziming Zhang, Heng Huang, Dinggang Shen. Integrative Analysis of Multi-Dimensional Imaging Genomics Data for Alzheimer's Disease Prediction. Frontiers in Aging Neuroscience, 6: 260, 2014.

Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen. Transcriptome-Guided Amyloid Imaging Genetic Analysis via A Novel Structured Sparse Learning Algorithm. Bioinformatics, 30(17), pp. i564-i571, 2014.

Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael J Fulham, Dagan Feng. Lung Nodule Classification with Multi-Level Patch-Based Context Analysis, IEEE Transactions on Biomedical Engineering, 61(4), pp. 1155-1166, 2014.

Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen. A Generative Probability Model of Joint Label Fusion for Multi-Atlas Based Brain Segmentation, Medical Image Analysis, 18(6), pp. 881-890, 2014.

Vangelis Metsis, Fillia Makedon, Dinggang Shen, Heng Huang. DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(1), pp. 168-181, 2014.

Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Yun Zhou, Michael J Fulham, David Dagan Feng. Lesion Detection and Characterization with Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies, IEEE Transactions on Medical Imaging (TMI) , 33(2), pp. 408-421, 2014.

Hua Wang, Feiping Nie, Weidong Cai, Heng Huang. Semi-Supervised Robust Dictionary Learning via Efficient l_2,0+-Norms Minimization. International Conference on Computer Vision (ICCV 2013), pp. 1145-1152.

Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang. New Graph Structured Sparsity Model for Multi-Label Image Annotations. International Conference on Computer Vision (ICCV 2013), pp. 801-808.

Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang. Heterogeneous Image Features Integration via Multi-Modal Semi-Supervised Learning Model. International Conference on Computer Vision (ICCV 2013), pp. 1737-1744.

Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen. A New Sparse Learning Model for Brain Anatomical and Genetic Network Analysis. The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), pp. 625-632.

Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael Fulham, Dagan Feng. Similarity Guided Feature Labeling for Lesion Detection. The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), pp. 284-291.

Xiao Cai, Chris Ding, Feiping Nie, Heng Huang. On The Equivalent of Low-Rank Linear Regressions and Linear Discriminant Analysis Based Regressions. The 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013), pp. 1124-1132.

Hua Wang, Feiping Nie, Heng Huang. Robust and Discriminative Self-Taught Learning. The 30th International Conference on Machine Learning (ICML 2013), Journal of Machine Learning Research, W&CP, Vol. 28, No. 3, pp. 298-306.

Hua Wang, Feiping Nie, Heng Huang. Multi-View Clustering and Feature Learning via Structured Sparsity. The 30th International Conference on Machine Learning (ICML 2013), Journal of Machine Learning Research, W&CP, Vol. 28, No. 3, pp. 352-360.

Feiping Nie, Hua Wang, Heng Huang, Chris Ding. Early Active Learning via Robust Representation and Structured Sparsity. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 1572-1578.

Feiping Nie, Hua Wang, Heng Huang, Chris Ding. Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 1565-1571.

Hua Wang, Heng Huang, Chris Ding. Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2049-2056.

Xiao Cai, Feiping Nie, Heng Huang. Exact Top-k Feature Selection via l_2,0-Norm Constraint. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 1240-1246.

Xiao Cai, Feiping Nie, Heng Huang. Multi-View K-Means Clustering on Big Data. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2598-2604.

Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris Ding. Social Trust Prediction Using Rank-k Matrix Recovery. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2647-2653.

Jin Huang, Feiping Nie, Heng Huang, Chris Ding. Supervised and Projected Sparse Coding for Image Classification. Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13 main track), pp. 438-444.

Jin Huang, Feiping Nie, Heng Huang. Robust Discrete Matrix Completion. Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13 main track), pp. 424-430.

Jin Huang, Feiping Nie, Heng Huang. Spectral Rotation vs K-means in Spectral Clustering. Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13 main track), pp. 431-437.

Hua Wang, Feiping Nie, Heng Huang. Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), pp. 3095-3100.

De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon Risacher, Andrew Saykin, Li Shen. Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. International Conference on Information Processing in Medical Imaging (IPMI 2013), pp. 536-547.

Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng, Mei Chen. Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling, BMC Bioinformatics , Vol. 14, No. 173, 2013.

Jin Huang, Feiping Nie, Heng Huang, Yicheng Tu, Yu Lei. Social Trust Prediction Using Heterogeneous Networks, ACM Transactions on Knowledge Discovery from Data (TKDD), 7(4), pp. 17:1-17:21, 2013.

Dijun Luo, Chris Ding, Heng Huang. Towards Structural Sparsity: An Explicit l₂/l₀ Approach. Knowledge and Information Systems, Vol. 36, pp. 411-443, 2013.

Jin Huang, Feiping Nie, Heng Huang, Chris Ding. Robust Manifold Non-Negative Matrix Factorization. ACM Transactions on Knowledge Discovery from Data (TKDD), 8(3), pp. 11:1-11:21, 2013.

Hua Wang, Heng Huang, Chris Ding. Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. Journal of Computational Biology (JCB), Vol. 20, No. 4, pp. 322-343, 2013.

Hua Wang, Heng Huang, Chris Ding, Feiping Nie. Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. Journal of Computational Biology (JCB), Vol. 20, No. 4, pp. 344-358, 2013.

Hua Wang, Heng Huang, Fillia Makedon. Emotion Detection via Discriminant Laplacian Embedding. International Journal Universal Access in the Information Society, Springer, pp. 1-9, 2013.

Feiping Nie, Hua Wang, Heng Huang, Chris Ding. Robust Matrix Completion via Joint Schatten p-Norm and l_p-Norm Minimization. ICDM 2012, pp. 566-574 (acceptance rate for full paper 81/756=10.7%).

Dijun Luo, Chris Ding, Heng Huang. Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM 2012, pp. 489-498 (acceptance rate for full paper 81/756=10.7%).

Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen. High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction. NIPS 2012, pp. 1286-1294 (acceptance rate for oral paper 20/1467=1.36%).

Dijun Luo, Chris Ding, Heng Huang. Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012, pp. 2969-2977.

Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu. Trust Prediction via Aggregating Heterogeneous Social Networks. ACM Conference on Information and Knowledge Management (CIKM 2012), pp. 1774-1778.

Xiao Cai, Hua Wang, Heng Huang, Chris Ding. Joint Image Classification and Annotation via Biased Random Walk on Tri-Relational Graph. European Conference on Computer Vision (ECCV 2012), pp. 823-836.

Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen. From Phenotype to Genotype: An Association Study of Candidate Phenotypic Markers to Alzheimer's Disease Relevant SNPs. European Conference on Computational Biology (ECCB 2012) , (acceptance rate 14%, 48/341), Bioinformatics, Vol. 28, No. 18, pp. i619-i625, 2012.

Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang. Group-wise Consistent Parcellation of Gyri via Adaptive Multi-View Spectral Clustering of Fiber Shapes. The 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012) , pp. 271-279.

Deguang Kong, Chris Ding, Heng Huang, Feiping Nie. An Iterative Locally Linear Embedding Algorithm. The 29th International Conference on Machine Learning (ICML 2012), pp. 1647-1654.

Xiao Cai, Hua Wang, Heng Huang, Chris Ding. Joint Stage Recognition and Anatomical Annotation of Drosophila Gene Expression Patterns. 20th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2012), published in Bioinformatics, (acceptance rate for proceeding paper 13.4%, 36/268), Bioinformatics, Vol. 28, No. 12, pp. i16-i24, 2012.

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI. Identifying Disease Sensitive and Quantitative Trait Relevant Biomarkers from Multi-Dimensional Heterogeneous Imaging Genetics Data via Sparse Multi-Modal Multi-Task Learning. 20th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2012), published in Bioinformatics, (acceptance rate for proceeding paper 13.4%, 36/268), Bioinformatics, Vol. 28, No. 12, pp. i127-i136, 2012.

Feiping Nie, Heng Huang, Chris Ding. Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization, Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2012), pp. 655-661.

Hua Wang, Feiping Nie, Heng Huang. Robust and Discriminative Distance for Multi-Instance Learning, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), pp. 2919-2924.

Deguang Kong, Chris Ding, Heng Huang, Haifeng Zhao. Multi-Label ReliefF and F-Statistic Feature Selections for Image Annotation, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), pp. 2352-2359 .

Hua Wang, Heng Huang, Chris Ding, Feiping Nie. Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. The 16th International Conference on Research in Computational Molecular Biology (RECOMB 2012), LNCS 7262, pp. 314-325.

Hua Wang, Heng Huang, Chris Ding. Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. The 16th International Conference on Research in Computational Molecular Biology (RECOMB 2012), LNCS 7262, pp. 302-313.

Nan Zhang, Liam O'Neill, Gautam Das, Xiuzhen Cheng, Heng Huang. No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases. International Journal of Healthcare Information Systems and Informatics (IJHISI), 7(4), pp. 49-59, 2012.

Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon Risacher, Andrew J Saykin, Li Shen, ADNI. Identifying Quantitative Trait Loci via Group-Sparse Multi-Task Regression and Feature Selection: An Imaging Genetics Study of the ADNI Cohort. Bioinformatics, Vol. 28, No. 2, pp. 229-237, 2012.

Kanishka Sircar, Heng Huang, Limei Hu, Yuexin Liu, Jasreman Dhillon, David Cogdell, Armen Aprikian, Eleni Efstathiou, Patricia Troncoso, Nora Navone and Wei Zhang. Integrative Molecular Profiling Reveals Asparagine Synthetase Is a Target in Castration-Resistant Prostate Cancer. The American Journal of Pathology, Vol. 180, Issue 3, pp. 895-903, 2012.

Kanishka Sircar, Heng Huang, Limei Hu, Yuexin Liu, Jasreman Dhillon, David Cogdell, Armen Aprikian, Eleni Efstathiou, Patricia Troncoso, Nora Navone and Wei Zhang. Mitosis Phase Enrichment with Identification of Mitotic Centromere-Associated Kinesin As a Therapeutic Target in Castration-Resistant Prostate Cancer, PLOS ONE, 7(2): e31259, 2012.

Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon. Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization, Personal and Ubiquitous Computing, Springer, pp. 1-9, 2012.

Xiao Cai, Feiping Nie, Heng Huang, Chris Ding. Feature Selection via l_2,1-Norm Support Vector Machine. IEEE International Conference on Data Mining (ICDM 2011), pp. 91-100, (acceptance rate for full paper 12%).

Hua Wang, Feiping Nie, Heng Huang, Chris Ding. Nonnegative Matrix Tri-Factorization Based Simultaneous Clustering of Large-Scale Multi-Type Related Data. IEEE International Conference on Data Mining (ICDM 2011), pp. 774-783, (acceptance rate for full paper 12%).

Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris Ding. Maximum Margin Multi-Instance Learning. Neural Information Processing Systems Conference (NIPS 2011), pp. 1-9.

Hua Wang, Heng Huang, Chris Ding. Simultaneous Clustering of Multi-Type Relational Data via Symmetric Nonnegative Matrix Tri-Factorization. ACM Conference on Information and Knowledge Management (CIKM 2011), pp. 279-284.

Deguang Kong, Chris Ding, Heng Huang. Robust Nonnegative Matrix Factorization Using l_2,1-Norm. ACM Conference on Information and Knowledge Management (CIKM 2011), pp. 673-682.

Hua Wang, Feiping Nie, Heng Huang, Shannon Risacher, Chris Ding, Andrew J Saykin, Li Shen, ADNI. A New Sparse Multi-Task Regression and Feature Selection Method to Identify Brain Imaging Predictors for Memory Performance. IEEE Conference on Computer Vision (ICCV 2011), pp. 557-562.

Feiping Nie, Hua Wang, Heng Huang, Chris Ding. Unsupervised and Semi-supervised Learning via l₁-norm Graph. IEEE Conference on Computer Vision (ICCV 2011), pp. 2268-2273.

Hua Wang, Feiping Nie, Heng Huang, Chris Ding. Dyadic Transfer Learning for Cross-Domain Image Classification. IEEE Conference on Computer Vision (ICCV 2011), pp. 551-556.

Dijun Luo, Heng Huang, Chris Ding. Discriminative High Order SVD: Adaptive Tensor Subspace Selection for Image Classification, Clustering, and Retrieval. IEEE Conference on Computer Vision (ICCV 2011), pp. 1443-1448.

Hua Wang, Feiping Nie, Heng Huang, Shannon Risacher, Andrew J Saykin, Li Shen, ADNI. Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. The 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011), pp. 115-123, (acceptance rate for oral paper 4.15%, 34/819).

Dijun Luo, Feiping Nie, Chris Ding, Heng Huang. Multi-Subspace Representation and Discovery, ECML PKDD 2011, LNAI 6912, pp. 406-420, the Best Student Paper Runner-up Award in Machine Learning!

Dijun Luo, Chris Ding, Heng Huang. Graph Evolution via Social Diffusion Processes. ECML PKDD 2011, LNAI 6912, pp. 390-404, (acceptance rate 20%).

Dijun Luo, Chris Ding, Feiping Nie, Heng Huang. Cauchy Graph Embedding, The 28th International Conference on Machine Learning (ICML 2011), accepted to appear.

Hua Wang, Feiping Nie, Heng Huang. Learning Instance Specific Distance for Multi-Instance Classifications. Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), pp. 507-512.

Dijun Luo, Chris Ding, Heng Huang. Linear Discriminant Analysis: New Formulations and Overfit Analysis. Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), pp. 417-422.

Dijun Luo, Chris Ding, Heng Huang. Multi-Level Cluster Indicator Decomposition of Matrices and Tensors. Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), pp. 423-428.

Hua Wang, Heng Huang, Feiping Nie, Chris Ding. Cross-Language Web Page Classification via Dual Knowledge Transfer Using Nonnegative Matrix Tri-Factorization, The 34th Annual ACM SIGIR Conference (SIGIR 2011), pp. 933-942, (acceptance rate for regular paper 19.8%, 108/545).

Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon. Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1553-1558, (acceptance rate for oral presentation paper 17%, 227/1325).

Dijun Luo, Heng Huang. Ball Ranking Machine for Content-Based Multimedia Retrieval, The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1390-1395.

Dijun Luo, Chris Ding, Heng Huang. Cluster Indicator Decomposition for Efficient Matrix Factorization, The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1384-1389.

Feiping Nie, Heng Huang, Chris Ding, Dijun Luo, Hua Wang. Principal Component Analysis with Non-Greedy l₁-Norm Maximization, The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1433-1438.

Hua Wang, Heng Huang, Chris Ding. Image Annotation Using Bi-Relational Graph of Images and Semantic Labels, The 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 793-800.

Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar. Heterogeneous Image Features Integration via Multi-Modal Spectral Clustering, The 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 1977-1984.

Dijun Luo, Chris Ding, Heng Huang, Feiping Nie. Consensus Spectral Clustering, The IEEE International Conference on Data Engineering (ICDE 2011), pp. 1079-1090, (acceptance rate for regular paper 19.8%, 98/494).

Dijun Luo, Chris Ding, Heng Huang. Towards Structural Sparsity: An Explicit l₂/l₀ Approach, IEEE International Conference on Data Mining (ICDM 2010), pp. 344-353, (acceptance rate for regular paper 9%, 72/797), the best research paper runner up!

Feiping Nie, Heng Huang, Xiao Cai, Chris Ding. Efficient and Robust Feature Selection via Joint l_2,1-Norms Minimization, Neural Information Processing Systems Conference (NIPS 2010), pp. 1813-1821.

Feiping Nie, Chris Ding, Dijun Luo, Heng Huang. Improved MinMax Cut Graph Clustering with Nonnegative Relaxation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), (acceptance rate 18%, 120/658), Vol. 2, pp. 451-467.

Hua Wang, Chris Ding, Heng Huang. Directed Graph Learning via High-Order Co-linkage Analysis, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), (acceptance rate 18%, 120/658), Vol. 3, pp. 451-467.

Dijun Luo, Heng Huang, Chris Ding, Feiping Nie. On The Eigenvectors of p-Laplacian, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), (acceptance rate 18%, 120/658).

Hua Wang, Chris Ding, Heng Huang. Multi-Label Linear Discriminant Analysis, The 11th European Conference on Computer Vision (ECCV 2010), Vol. 6316, pp. 126-139.

Hua Wang, Heng Huang, Chris Ding. Image Categorization Using Directed Graphs, The 11th European Conference on Computer Vision (ECCV 2010), Vol. 6313, pp. 762-775.

Hua Wang, Heng Huang, Chris Ding. Multi-Label Feature Transform, The 11th European Conference on Computer Vision (ECCV 2010), Vol. 6314, pp. 793-806.

Hua Wang, Heng Huang, Chris Ding. Discriminant Laplacian Embedding, Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010), pp. 618-623.

Hua Wang, Chris Ding, Heng Huang. Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor, Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010), pp. 1264-1266.

Nha Nguyen, Heng Huang, Soontorn Oraintara, An Vo. Mass Spectrometry Data Processing Using Zero-Crossing Lines in Multi-Scale of Gaussian Derivative Wavelet, Bioinformatics, Vol. 26, pp. i659-i665, 2010.

An Vo, Nha Nguyen, Heng Huang. Solenoid and Non-solenoid Protein Recognition, Bioinformatics, Vol. 26, pp. i467-i473, 2010.

Dijun Luo, Heng Huang, Chris Ding, Feiping Nie. On The Eigenvectors of p-Laplacian, Machine Learning, Vol. 81, No. 1, pp. 37-51, 2010.

Nha Nguyen, Heng Huang, Soontorn Oraintara, An Vo. Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing, Journal of Computational Biology, Vol. 17, No. 2, pp. 139-152, February, 2010.

Dijun Luo, Chris Ding, Heng Huang, Tao Li. Non-negative Laplacian Embedding, IEEE International Conference on Data Mining (ICDM 2009), pp. 337-346, (acceptance rate for regular paper 8.9%, 70/786).

Hua Wang, Heng Huang, Chris Ding. Image Annotation Using Multi-label Correlated Green's Function, IEEE Conference on Computer Vision (ICCV 2009), pp. 1-8.

Dijun Luo, Chris Ding, Heng Huang. Symmetric Two Dimensional Linear Discriminant Analysis (2DLDA), IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), pp. 1-8.

Dijun Luo, Heng Huang. Link Prediction of Multimedia Social Network via Unsupervised Face Recognition, ACM International Conference on Multimedia, pp. 805-808, 2009.

Vangelis Metsis, Heng Huang, Fillia Makedon, Aria Tzika. Heterogeneous Data Fusion to Type Brain Tumor Biopsies, the proceedings of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2009), pp. 233-240, 2009.

Nha Nguyen, Heng Huang, Soontorn Oraintara, An Vo. Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis, Journal of Bioinformatics and Computational Biology, Vol. 7, No. 3, pp. 547-569, 2009.

Fillia Makedon, Zhengyi Le, Heng Huang, Eric Becker, Dimitris Kosmopoulos. An Event Driven Framework for Assistive CPS Environments, ACM SIGBED Review, Vol. 6 (2), pp. 1-9, 2009.

Heng Huang, Chris Ding, Dijun Luo, Tao Li. Simultaneous Tensor Subspace Selection and Clustering: The Equivalence of High Order SVD and K-Means Clustering. The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), pp. 327-335 (acceptance rate for long paper 9.8%, 50/510).

Nha Nguyen, Heng Huang, Soontorn Oraintara, An Vo. GABORLOCAL: Peak Detection In Mass Spectrum By Gabor Filters And Gaussian Local Maxima. Computational Systems Bioinformatics Conference (CSB 2008), pp. 85-96 (acceptance rate for full paper 22%).

Nha Nguyen, Heng Huang, Soontorn Oraintara, An Vo. Dependent Laplacian Bivariate Shrinkage Estimator For SWPT Based Array-CGH Data Smoothing. Computational Systems Bioinformatics Conference (CSB 2008), poster.

Heng Huang, Chris Ding. Robust Tensor Factorization Using R1 Norm. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1-8.

Chris Ding, Heng Huang, Dijun Luo. Tensor Reduction Error Analysis -- Applications to Video Compression and Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1-8.

Heng Huang, Fillia Makedon. Statistical Shape Model Using High Dimensional Feature Selection, IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), pp. 1541-1544.

Heng Huang, Nha Nguyen, Soontorn Oraintara, An Vo. Array CGH Data Modeling and Smoothing in Stationary Wavelet Packet Transform Domain, BMC Genomics, Vol. 9 (S2:S17), 2008.

Heng Huang, Li Shen, James Ford, Yuhang Wang, Yurong Xu. Computational Issues in Biomedical Nanometrics and Nano-materials, Journal of Nano Research, Vol. 1, pp. 50-58, 2008.

Nha Nguyen, Heng Huang, Soontorn Oraintara, Yuhang Wang. Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform. IEEE 7th International Symposium on Bioinformatics & Bioengineering (BIBE 2007), pp. 137-144 (acceptance rate for full paper < 12%, 60/500+).

Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang. Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. IEEE 7th International Symposium on Bioinformatics & Bioengineering (BIBE 2007), pp. 211-217 (acceptance rate for full paper < 12%, 60/500+).

Nha Nguyen, Heng Huang, Soontorn Oraintara, An Vo. A New Smoothing Model for Analyzing Array CGH Data. IEEE 7th International Symposium on Bioinformatics & Bioengineering (BIBE 2007), pp. 1027-1034.

Heng Huang, Li Shen. Surface Harmonics for Shape Modeling. ICIP 2007: 14th IEEE International Conference on Image Processing, Volume 2, pp. 553-556.

Li Shen, Heng Huang, Fillia Makdeon, and Andrew J. Saykin. Efficient Registration of 3D SPHARM Surfaces. CRV 2007: Fourth Canadian Conference on Computer and Robot Vision, pp. 81-88 (acceptance rate for oral 24%, 25/103).

Chris Hawblitzel, Heng Huang, Lea Wittie, Juan Chen. A garbage-collecting typed assembly language. TLDI 2007, ACM SIGPLAN International Workshop on Types in Languages Design and Implementation, pp. 41-52.

Heng Huang, Fillia Makedon, Dan Popa, Harry Stephanou, James Ford, Yurong Xu. A Feature Extraction Method for Multimedia Data Analysis in Robot Wireless Sensor Networks. WIAMIS 2007: 8th International Workshop on Image Analysis for Multimedia Interactive Services, to appear.

Yurong Xu, James Ford, Fillia Makedon, Dan Popa, Heng Huang, Li Shen. In-home Localization for Home Care of Alzheimer's Disease Patients using Wireless Sensor Networks. International workshop on Pervasive Technologies for the support of Alzheimer's Disease and Related Disorders Sufferers, to appear.

Heng Huang, Li Shen, Nha Nguyen. Three Dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ, Simulation: Transactions of The Society for Modeling and Simulation International, Vol. 83, No. 4, pp. 321-327, 2007.

Heng Huang, Li Shen, Fillia Makedon, Andy Saykin, Justin Pearlman. A Novel Surface Registration Algorithm with Biomedical Modeling Applications, IEEE Transactions on Information Technology in BioMedicine,Volume 11, Issue 4, pp. 474-482, 2007.

Heng Huang, Lei Zhang, Dimitris Samaras, Li Shen, Fillia Makedon, Justin Pearlman. Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. TDPVT 2006, IEEE Symposium on 3D Data Processing, Visualization and Transmission, pp. 381-388 (acceptance rate for oral 15%, 28/183).

Heng Huang, Li Shen, Fillia Makedon, Justin Pearlman. A Spatio-Temporal Modeling Method for Shape RepresentationA Spatio-temporal Modeling for Shape Representation. TDPVT 2006, IEEE Symposium on 3D Data Processing, Visualization and Transmission, pp. 1034-1040.

Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin Pearlman. Fast Surface Reconstruction for Ischemic Cardiac Spatio-temporal Modeling. SPIE Medical Imaging 2006: Image Processing, Proceedings of SPIE, Volume 6144, pp. 1002-1009, 2006.

Li Shen, Andrew Saykin, Moo Chung, Heng Huang, James Ford, Fillia Makedon, Tara McHugh, Harker Rhodes. Morphometric Analysis of Genetic Variation in Hippocampal Shape in Mild Cognitive Impairment: Role of an IL-6 Promoter Polymorphism. CSB 2006: LSS Computational Systems Bioinformatics Conference, accepted to appear.

Li Shen, Heng Huang, Joshua Lu, James Ford, Ling Gao, Wei Zheng, Fillia Makedon, Justin Pearlman. Spatio-Temporal Analysis Tool for Modeling Pulmonary Nodules in MR Images. SPIE Medical Imaging 2006: Visualization, Image Guided Procedures, and Display, Proceedings of SPIE, Volume 6144, pp. 740-749, 2006.

Heng Huang, Li Shen, Fillia Makedon, Bruce Hettleman, Justin Pearlman. Cardiac Motion Analysis to Improve Pacing Site Selection in CRT, Academic Radiology, Elsevier Science, Volume 13, Issue 9, pp. 1124-1134, September 2006.

Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin Pearlman. Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. MICCAI 2005, 8th International Conference on Medical Image Computing and Computer Assisted Intervention.Lecture Notes in Computer Science LNCS 3749, Springer Verlag, pp. 67-74. (acceptance rate for oral 7%, 46/632)

Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin Pearlman. A Prediction Framework for Cardiac Resynchronization Therapy via 4D Cardiac Motion Analysis. MICCAI 2005, 8th International Conference on Medical Image Computing and Computer Assisted Intervention. Lecture Notes in Computer Science LNCS 3749, Springer Verlag, pp. 704-711.

Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon, Li Shen, Bruce Hettleman, Justin Pearlman. K-means+ Method for Improving Gene Selection for Classification of Microarray Data. CSB 2005, IEEE Computational Systems Bioinformatics Conference, pp. 110-111, 2005.

Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin Pearlman. A Clustering-based Approach for Prediction of Cardiac Resynchronization Therapy. SAC 2005, 20th ACM Symposium on Applied Computing, pp. 260-266, 2005.

Heng Huang, Li Shen, James Ford, Fillia Makedon, Ling Gao, Justin Pearlman. Functional Analysis of Cardiac MR Images Using SPHARM Modeling. SPIE Medical Imaging 2005: Image Processing, Proceedings of SPIE, Volume 5747, pp. 1384-1391, 2005.

Fei Xiong, Heng Huang, James Ford, Fillia Makedon, Justin Pearlman. A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis. PCI 2005, 10th Panhellenic Conference on Informatics, Lecture Notes in Computer Science LNCS 3746, Springer Verlag, pp. 437-447.

Li Shen, Wei Zheng, Ling Gao, Heng Huang, Fillia Makedon, Justin Pearlman. Modeling Time-Intensity Profiles for Pulmonary Nodules in MR Images. EMBS 2005, The 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005.

Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia Makedon, Justin Pearlman. An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. SPIE Medical Imaging 2005, San Diego, California, 12-17 February 2005.

Heng Huang, Li Shen, James Ford, Ling Gao, Justin Pearlman. Early lung cancer detection based on registered perfusion MRI. Journal of Oncology Reports, Volume 15, pp. 1080-1084, 2005.

Li Shen, Wei Zheng, Ling Gao, Heng Huang, Fillia Makedon, and Justin Pearlman. Spatio-Temporal Modeling of Lung Images for Cancer Detection. Journal of Oncology Reports, Volume 15, pp. 1085-1089, 2005.

Heng Huang, Fillia Makedon, Justin Pearlman, James Ford, Li Shen, Yuhang Wang, Ling Gao. Efficient Similarity Retrieval for Temporal Shape Sequences: A Case Study using Cardiac MR Images. Proceedings of 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Volume 2, pp. 3250-3253, 2004.

Heng Huang, Li Shen, Fillia Makedon, Ling Gao, Justin Pearlman. Three-Dimensional Analysis of Cardiac Magnetic Resonance Imaging using Spherical Harmonics Model. ACC'04, March 7-10, 2004, New Orleans, Supplement to the Journal of the American College of Cardiology, Volume 43, Number 5 (Supplement A), 2004.

Yuhang Wang, Fillia Makedon, James Ford, Heng Huang. A bipartite graph matching framework for finding correspondences between structural elements in two proteins. Proceedings of 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Volume 2, pp. 2972-2975, 2004.

Chris Hawblitzel, Edward Wei, Heng Huang, Eric Krupski, Lea Wittie. Low-Level Linear Memory Management. SPACE 2004, the Second ACM SIGPLAN Workshop on Semantics, Program Analysis, and Computing Environments for Memory Management, 2004.