Publications  (Google citationsJournal articles Conference proceedings


Selected Peer Reviewed Journal Papers

Underlined authors are the students or postdoctoral fellows under my supervision.

1.         Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy PDF HTML

Fei Han, Saad El Beleidy, Hua Wang, Cang Ye, Hao Zhang

IEEE Robotics and Automation Letters, Volume. 3, No. 4, pp. 3669-3676, 2018.

2.      Sequence-Based Sparse Optimization Methods for Long-Term Loop Closure Detection in Visual SLAM PDF HTML

Fei Han, Hua Wang, Guoquan Huan, Hao Zhang

Autonomous Robots, 2018.

3.      From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis PDF HTML

Hua Wang, Heng Huang, Chris Ding

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 14, Issue 3, pp. 503-513, 2017 (An application of MLDA for protein function prediction).

4.      Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Tri-Factorization PDF

Hua Wang, Feiping Nie, Heng Huang

ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 10 Issue 1, 2015, (Extended long version of the SIGIR 2011 conference paper).

5.      Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency PDF HTML

Hua Wang, Heng Huang, Chris Ding.

Journal of Computational Biology, Volume 22, Number 6, pp.546-562, 2015 (Invited long version of the RECOMB 2014 conference paper).

6.      Cortical surface biomarkers for predicting cognitive outcomes using group L2,1 norm PDF HTML

Jingwen Yan, Taiyong Li, Hua Wang, Heng Huang, Jing Wan, Kwangsik Nho, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI

Neurobiology of Aging, 2014 (Invited long version of the MICCAI 2012 workshop (NIBioAD 2012) paper).

7.      Learning High-Dimensional Correspondence via Manifold Learning and Local Approximation PDF HTML

Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang

Neural Computing and Applications, 2013.

8.      Emotion Detection via Discriminant Laplacian Embedding PDF HTML

Hua Wang, Heng Huang, Fillia Makedon

Universal Access in the Information Society, 2013 (Invited long version of the PETRA 2010 paper. An application of the DLE method in the AAAI 2010 paper.).

9.      Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization PDF HTML

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

Knowledge and Information Systems (KAIS), 2013 (Invited long version of the ICDM 2012 conference paper).

10.   Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Factorization PDF HTML

Hua Wang, Feiping Nie, Heng Huang, Chris Ding

Journal of Computational Biology, 20(4):344-358, 2013 (Invited long version of the RECOMB 2012 conference paper).

11.     Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks PDF HTML

Hua Wang, Heng Huang, Chris Ding

Journal of Computational Biology, 20(4):322-343, 2013 (Invited long version of the RECOMB 2012 conference paper).

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

Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon

Personal and Ubiquitous Computing, 2012 (Invited long version of the PETRA 2011 paper)

13.    From Phenotype to Genotype: An Association Study of Candidate Phenotypic Markers to Alzheimer's Disease Relevant SNPs PDF HTML

Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon Risacher, Andrew Saykin, Li Shen, ADNI

Bioinformatics, 28 (18): i619-i625, 2012 (ECCB 2012 issue, acceptance rate 14.1%, 48/341).

14.   Identifying Disease Sensitive and Quantitative Trait Relevant Biomarkers from Multi-Dimensional Heterogeneous Imaging Genetics Data via Sparse Multi-Modal Multi-Task Learning PDF HTML CODE

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI

Bioinformatics, 28(12): i127-i136, 2012 (ISMB 2012 issue, acceptance rate 13.4%, 36/268).

15.   Joint Stage Recognition and Anatomical Annotation of Drosophila Gene Expression Patterns PDF HTML CODE DATA

Xiao Cai, Hua Wang, Heng Huang, Chris Ding.

Bioinformatics, 28(12): i16-i24, 2012 (ISMB 2012 issue, acceptance rate 13.4%, 36/268).

16.   Identifying Quantitative Trait Loci via Group-Sparse Multi-Task Regression and Feature Selection: An Imaging Genetics Study of the ADNI Cohort PDF HTML CODE

Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon Risacher, Andrew J Saykin, Li Shen, ADNI

Bioinformatics, 28(2): 229-237, 2012.

 

Selected Peer Reviewed Proceeding Papers

Underlined authors are the students or postdoctoral fellows under my supervision.

2018

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

Lodewijk Brand, Hua Wang, Heng Huang, Shannon Risacher, Andrew Saykin, Li Shen, ADNI

Accepted to appear in the Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain.

2.      High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization PDF

Kai Liu, Hua Wang

The Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), pp.2454-2460, Stockholm, Sweden.

3.      Learning Multi-Instance Enriched Image Representation via Non-Greedy Ratio Maximization of the L1-Norm Distances

Kai Liu, Hua Wang, Feiping Nie, Hao Zhang

The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2018 (CVPR 2018), pp.7727-7735, Salt Lake City, UT.

4.      Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection PDF

Fei Han, Hua Wang, Hao Zhang

The Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp.6501-6508, New Orleans, LA.

2017

1.        Semi-Supervised Classifications via Elastic and Robust Embedding PDF

Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), pp.2294-2300, San Francisco, CA.

2016

1.        Robust multimodal sequence-based loop closure detection via structured sparsity PDF

Fei Han, Hao Zhang, Hua Wang

The Proceedings of 2016 Robotics: Science and Systems (RSS 2016), Ann Arbor, MI.

2.      Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking PDF

Xue Yang, Fei Han, Hua Wang, Hao Zhang

The Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pp.3522-3529, New York City, NY.

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

Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang

The Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI 2016), pp.1324-1330, Phoenix, AZ.

4.      New L1-Norm Relaxations and Optimizations for Graph Clustering PDF

Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

The Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI 2016), pp.1962-1968, Phoenix, AZ.

2015

1.        Robust Multi-Relational Clustering via L1-Norm Symmetric Nonnegative Matrix Factorization PDF

Kai Liu, Hua Wang

The Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), pp.397-401, Beijing, China

2.      Learning Robust Locality Preserving Projection via p-Order Minimization PDF

Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), pp.3059-3065, Austin, TX.

2014

1.        Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization PDF video

Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 31st International Conference on Machine Learning (ICML 2014), JMLR W&CP 32 (1) : 1836-1844, Beijing, China.

2.      Video Recovery via Low-Rank Tensor Completion with Spatio-Temporal Consistency PDF

Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 2846-2852, Quebec City, Canada.

3.      Globally and Locally Consistent Unsupervised Projection PDF

Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 1328-1333, Quebec City, Canada.

4.      Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency PDF

Hua Wang, Heng Huang, Chris Ding

The proceedings of the 18th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2014), LNBI 8394, Springer, pp. 311-325, Pittsburgh, PA.

2013

1.        Semi-Supervised Robust Dictionary Learning via Efficient L2,0+-Norms Minimization PDF

Hua Wang, Feiping Nie, Weidong Cai, Heng Huang

The proceedings of the 14th IEEE International Conference on Computer Vision (ICCV 2013), pp. 1145-1152, Sydney, Australia.

2.      Robust and Discriminative Self-Taught Learning PDF Supplementary

Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 30th International Conference on Machine Learning (ICML 2013), JMLR W&CP 28(3):298-306, Atlanta, GA.

3.      Multi-View Clustering and Feature Learning via Structured Sparsity PDF

Hua Wang, Feiping Nie, Heng Huang

The Proceedings of the 30th International Conference on Machine Learning (ICML 2013) (full oral paper), JMLR W&CP 28(3):352-360, Atlanta, GA.

4.      Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations PDF

Hua Wang, Heng Huang, Chris Ding

The Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2049-2055, Beijing, China.

5.      Adaptive Loss Minimization for Semi-Supervised Elastic Embedding PDF

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

The Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 1565-1571, Beijing, China.

6.      Early Active Learning via Robust Representation and Structured Sparsity PDF

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

The Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 1572-1578, Beijing, China.

7.      Heterogeneous Visual Features Fusion via Sparse Multimodal Machine PDF

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2013 (CVPR 2013), pp. 3097-3012, Portland, OR, USA.

2012

1.        Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization PDF

Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris Ding.

The Proceedings of 12th IEEE International Conference on Data Mining (ICDM 2012) (acceptance rate for full paper 81/756=10.7%), pp. 566-574, Brussels, Belgium.

2.      High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction PDF video

Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen.

The Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012) (acceptance rate for full oral paper 20/1467=1.36%), Tahoe, NV.

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

Xiao Cai, Hua Wang, Heng Huang, Chris Ding.

The Proceedings of the 12th European Conference on Computer Vision (ECCV 2012), LNCS 7577, Springer, pp.823-836, Florence, Italy.

4.      Robust and Discriminative Distance for Multi-Instance Learning PDF

Hua Wang, Feiping Nie, Heng Huang.

The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2012 (CVPR 2012), pp. 2919-2924, Providence, RI, USA.

5.      Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Factorization PDF

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

The Proceedings of the 16th International Conference on Research in Computational Molecular Biology (RECOMB 2012) (acceptance rate <15.5%, 31/200+), LNBI 7262, Springer, pp.302-313, Barcelona, Spain.

6.      Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks PDF

Hua Wang, Heng Huang, Chris Ding.

The Proceedings of the 16th International Conference on Research in Computational Molecular Biology (RECOMB 2012) (acceptance rate <15.5%, 31/200+), LNBI 7262, Springer, pp.314-325, Barcelona, Spain.

2011

1.       Nonnegative Matrix Tri-Factorization Based High-Order Co-Clustering and Its Fast Implementation PDF

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

The Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 2011) (acceptance rate for regular papers 12.53%, 101/806), pp. 774-783, Vancouver, Canada.

2.       Maximum Margin Multi-Instance Learning PDF

Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris Ding.

The Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain.

3.      Simultaneous Clustering of Multi-Type Relational Data via Symmetric Nonnegative Matrix Tri-factorization PDF

Hua Wang, Heng Huang, Chris Ding.

The Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), pp. 279-284, Glasgow, Scotland, UK.

4.      Learning Frame Relevance for Video Classification PDF

Hua Wang, Feiping Nie, Heng Huang, Yi Yang.

The Proceedings of the ACM International Conference on Multimedia 2011 (ACM MM 2011), pp. 1345-1348, Scottsdale, AZ, USA.

5.      Dyadic Transfer Learning for Cross-Domain Image Classification PDF

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

The Proceedings of The 13rd IEEE International Conference on Computer Vision (ICCV 2011), pp. 551-556, Barcelona, Spain.

6.      Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance PDF

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris Ding, Andrew J. Saykin, Li Shen, ADNI.

The Proceedings of The 13rd IEEE International Conference on Computer Vision (ICCV 2011), 557-562, Barcelona, Spain.

7.      Unsupervised and Semi-supervised Learning via L1-norm Graph PDF

Feiping Nie, Hua Wang, Heng Huang, Chris Ding.

The Proceedings of The 13rd IEEE International Conference on Computer Vision (ICCV 2011), 2268-2273, Barcelona, Spain.

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

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI.

The Proceedings of The 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011) (acceptance rate for oral presentation papers 4.15%, 34/819), LNCS 6893, Springer, pp. 115-123, Toronto, Canada.

9.      Cross-Language Web Page Classification via Dual Knowledge Transfer Using Nonnegative Matrix Tri-Factorization PDF

Hua Wang, Heng Huang, Feiping Nie, Chris Ding.

The Proceedings of The 34th Annual ACM SIGIR Conference (SIGIR 2011) (acceptance rate for regular papers 19.81%, 108/545), pp. 933-942, Beijing, China.

10.   Learning Instance Specific Distance for Multi-Instance Classifications PDF

Hua Wang, Feiping Nie, Heng Huang.

The Proceedings of The 25th AAAI Conference on Artificial Intelligence (AAAI 2011), pp. 507-512, San Francisco, CA, USA.

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

Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon.

The Proceedings of The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011) (acceptance rate for oral presentation papers 17.13%, 227/1325), pp. 1553-1558, Barcelona, Spain.

12.    Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization PDF

Feiping Nie, Heng Huang, Chris Ding, Dijun Luo, Hua Wang

The Proceedings of The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1433-1438, Barcelona, Spain. PDF

13.    Image Annotation Using Bi-Relational Graph of Images and Semantic Labels PDF

Hua Wang, Heng Huang, Chris Ding.

The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2011 (CVPR 2011), pp. 793-800, Colorado Springs, CO, USA.

2010

1.       Directed Graph Learning via High-Order Co-linkage Analysis PDF

Hua Wang, Heng Huang, Chris Ding.

The Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2010 (ECML PKDD 2010) (acceptance rate 18.23%, 120/658), LNCS 6323, Springer, pp. 451-466, Barcelona, Spain.

2.       Image Categorization Using Directed Graphs PDF

Hua Wang, Heng Huang, Chris Ding

The Proceedings of The 11th European Conference on Computer Vision (ECCV 2010), LNCS 6313, Springer, pp. 762-775, Crete, Greece.

3.      Multi-Label Linear Discriminant Analysis PDF

Hua Wang, Chris Ding, Heng Huang

The Proceedings of The 11th European Conference on Computer Vision (ECCV 2010), LNCS 6316, Springer, pp. 126-139, Crete, Greece.

4.      Multi-Label Feature Transform for Image Classification PDF

Hua Wang, Heng Huang, Chris Ding

The Proceedings of The 11th European Conference on Computer Vision (ECCV 2010), LNCS 6314, Springer, pp. 793-806, Crete, Greece. PDF

5.      Discriminant Laplacian Embedding PDF

Hua Wang, Heng Huang, Chris Ding

The Proceedings of The 24th AAAI Conference on Artificial Intelligence (AAAI 2010), pp. 618-623, Atlanta, GA, USA.

6.      Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor PDF A revised version

Hua Wang, Chris Ding, Heng Huang.

The Proceedings of 24th AAAI Conference on Artificial Intelligence (AAAI 2010), pp. 1264-1266, Atlanta, GA, USA.

2009

1.       Image Annotation Using Multi-label Correlated Green's Function PDF

Hua Wang, Heng Huang, Chris Ding.

The Proceedings of The 12th IEEE Conference on Computer Vision (ICCV 2009), pp. 2029-2034, Kyoto, Japan.


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