Publications

Liang Sun, Shuiwang Ji, and Jieping Ye
Multi-Label Dimensionality Reduction
Chapman and Hall/CRC, 2013.

Wenlu Zhang, Shuiwang Ji, and Rui Zhang
Evolutionary Soft Co-Clustering
Proceedings of the 2013 SIAM International Conference on Data Mining (SDM 2013), 2013

Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu
3D Convolutional Neural Networks for Human Action Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):221-231, 2013.

Xinhai Liu, Shuiwang Ji, Wolfgang Glanzel, and Bart De Moor
Multi-View Partitioning via Tensor Methods
IEEE Transactions on Knowledge and Data Engineering, 25(5):1056-1069, 2013.

Shuiwang Ji, Wenlu Zhang, and Jun Liu
A Sparsity-Inducing Formulation for Evolutionary Co-Clustering
Proceedings of the Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), 334-342, 2012.

Shahram Mohrehkesh, Shuiwang Ji, Tamer Nadeem, and Michele C. Weigle
Demographic Prediction of Mobile User from Phone Usage
Mobile Data Challenge Workshop, Nokia Research Center, 2012.
Second Prize on Demographic Prediction

Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, and Jieping Ye
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval
BMC Bioinformatics 2012, 13:107.

Dong Si, Shuiwang Ji, Kamal Al Nasr, and Jing He
A Machine Learning Approach for the Identification of Protein Secondary Structure Elements from cryoEM Density Maps
Biopolymers, 97(9):698-708, 2012.

Jie Gui, Zhenan Sun, Wei Jia, Rongxiang Hu, Yingke Lei, and Shuiwang Ji
Discriminant Sparse Neighborhood Preserving Embedding for Face Recognition
Pattern Recognition, 45(8):2884-2893, 2012.

Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye and Zhi-Hua Zhou
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(1):98-112, 2012.

Shuiwang Ji
Computational network analysis of the anatomical and genetic organizations in the mouse brain
Bioinformatics, 27(23):3293-3299, 2011.

Sudhir Kumar, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T. Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L. Karr, Kristyn Gerold, Michael McCutchan and Stuart J. Newfeld
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis
Bioinformatics, 27(23):3319-3320, 2011.

Liang Sun, Shuiwang Ji and Jieping Ye
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):194-200, 2011.

Ting Kei Pong, Paul Tseng, Shuiwang Ji and Jieping Ye
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
SIAM Journal on Optimization, 20(6):3465-3489, 2010.

Shuiwang Ji, Wei Xu, Ming Yang and Kai Yu
3D Convolutional Neural Networks for Human Action Recognition
Proceedings of the Twenty-Seventh International Conference on Machine Learning (ICML 2010), 495-502, 2010.

Shuiwang Ji
Computational Analysis of Drosophila Gene Expression Pattern Images
PhD Dissertation, Arizona State University, 2010.
Dissertation Committee: Jieping Ye (Chair), Subbarao Kambhampati, Sudhir Kumar, and Huan Liu

Shuiwang Ji, Lei Tang, Shipeng Yu and Jieping Ye
A Shared-Subspace Learning Framework for Multi-Label Classification
ACM Transactions on Knowledge Discovery from Data, 4(2):1-29, 2010.

Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar and Jieping Ye
A Bag-of-Words Approach for Drosophila Gene Expression Pattern Annotation
BMC Bioinformatics, 10(1):119, 2009.

Jun Liu, Shuiwang Ji and Jieping Ye
Multi-Task Feature Learning via Efficient -Norm Minimization
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI 2009), 339-348, 2009.

Shuiwang Ji and Jieping Ye
An Accelerated Gradient Method for Trace Norm Minimization
Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML 2009), 457-464, 2009.

Liang Sun, Shuiwang Ji and Jieping Ye
A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning
Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML 2009), 977-984, 2009.

Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar and Jieping Ye
Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-term Interactions
Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2009), 407-416, 2009.

Bao-Hong Shen, Shuiwang Ji and Jieping Ye
Mining Discrete Patterns via Binary Matrix Factorization
Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2009), 757-766, 2009.

Shuiwang Ji and Jieping Ye
Linear Dimensionality Reduction for Multi-Label Classification
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), 1077-1082, 2009.

Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye and Zhi-Hua Zhou
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), 1445-1450, 2009.

Liang Sun, Shuiwang Ji and Jieping Ye
On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), 1230-1235, 2009.

Ming Yang, Shuiwang Ji, Wei Xu, Jinjun Wang, Fengjun Lv, Kai Yu, Yihong Gong, Mert Dikmen, Dennis J. Lin and Thomas S. Huang
Detecting Human Actions in Surveillance Videos
TREC Video Retrieval Evaluation Workshop, 2009.

Jieping Ye and Shuiwang Ji
Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments
in N. Boulgouris and K. N. Plataniotis and E. Micheli-Tzanakou (Eds), Biometrics: Theory, Methods, and Applications, 1-19, Wiley-IEEE Press, New York, 2009.

Jun Liu, Shuiwang Ji and Jieping Ye
SLEP: Sparse Learning with Efficient Projections
Arizona State University, 2009.

Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar and Jieping Ye
Automated Annotation of Drosophila Gene Expression Patterns Using a Controlled Vocabulary
Bioinformatics, 24(17):1881-1888, 2008.

Liang Sun, Shuiwang Ji and Jieping Ye
Adaptive Diffusion Kernel Learning from Biological Networks for Protein Function Prediction
BMC Bioinformatics, 9:162, 2008.

Jieping Ye, Shuiwang Ji and Jianhui Chen
Multi-class Discriminant Kernel Learning via Convex Programming
Journal of Machine Learning Research, 9:719-758, 2008.

Shuiwang Ji and Jieping Ye
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
IEEE Transactions on Knowledge and Data Engineering, 20(10):1311-1321, 2008.

Shuiwang Ji and Jieping Ye
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
IEEE Transactions on Neural Networks, 19(10):1768-1782, 2008.

Shuiwang Ji, Liang Sun, Rong Jin and Jieping Ye
Multi-Label Multiple Kernel Learning
Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 777-784, 2008.

Shuiwang Ji, Lei Tang, Shipeng Yu and Jieping Ye
Extracting Shared Subspace for Multi-Label Classification
Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008), 381-389, 2008.

Liang Sun, Shuiwang Ji and Jieping Ye
Hypergraph Spectral Learning for Multi-Label Classification
Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008), 668-676, 2008.

Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu and Jieping Ye
Learning Subspace Kernels for Classification
Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008), 106-114, 2008.

Liang Sun, Shuiwang Ji and Jieping Ye
A Least Squares Formulation for Canonical Correlation Analysis
Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML 2008), 1024-1031, 2008.

Shuiwang Ji and Jieping Ye
A Unified Framework for Generalized Linear Discriminant Analysis
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 1-7, 2008.

Jieping Ye, Shuiwang Ji and Jianhui Chen
Learning the Kernel Matrix in Discriminant Analysis via Quadratically Constrained Quadratic Programming
Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2007), 854-863, 2007.

Jieping Ye, Jianhui Chen and Shuiwang Ji
Discriminant Kernel and Regularization Parameter Learning via Semidefinite Programming
Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML 2007), 1095-1102, 2007.