Shuiwang Ji

757-683-7717
http://www.cs.odu.edu/~sji

3325 ENGR & COMP SCI BLDG
NORFOLK, 23529

Ph.D. in Computer Science, Arizona State University, (2010)

M.S. in Computer Science, Wuhan University of Science and Technology, (2002)

Research Interests

Machine Learning: Theory and algorithms for dimensionality reduction, multiple kernal learning, multi-task learning, convex optimization, and deep learningComputer Vision: Deep learning for visual object and action recognitionComputational Biology: Computational modeling of regulatory networks in fruit fly Drosophila; automated developmental time determination, body part keywords annotation, and overlapping pattern detection of Drosophilia gene expression pattern images; protein function prediction from biological networks

Articles

Ji, S., Tang, L., Yu, S. and Ye, J. (2010). A Shared-Subspace Learning Framework for Multi-Label Classification. ACM Transactions on Knowledge Discovery from Data 4 (2) , pp. 1-29.
Ji, S., Li, Y., Zhou, Z., Kumar, S. and Ye, J. (2009). A Bag-of-words Approach for Drosophila Gene Expression Pattern Annotation. BMC Informatics 10 (119).
Sun, L., Ji, S. and Ye, J. (2008). Adaptive Diffusion Kernel Learning from Biological Networks for Protein Function Prediction. BMC Bioinformatics 9 (162).
Ji, S., Sun, L., Jin, R., Kumar, S. and Ye, J. (2008). Automated Annotation of Drosophila Gene Expression Patterns Using a Controlled Vocabulary. Bioinformatics 24 (17) , pp. 1881-1888.
Ji, S. and Ye, J. (2008). Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. IEEE Transactions on Neural Networks 19 (10) , pp. 1768-1782.
Ye, J., Ji, S. and Chen, J. (2008). Multi-class Discriminant Kernel Learning via Convex Programming. Journal of Machine Learning Research 9 , pp. 719-758.
Ji, S. and Ye, J. (2008). Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study. IEEE Transactions on Knowledge and Data Engineering 20 (10) , pp. 1311-1321.

Book Chapters

Ye, J. and Ji, S. (2010). Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments, In Biometrics: Theory, Methods, and Applications IEEE/Wiley Press.

Conference Proceeding

Sun, L., Ji, S. and Ye, J. (2009). A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning (pp. 977-984) 26th International Conference on Machine Learning (ICML 2009).
Ji, S. and Ye, J. (2009). An Accelerated Gradient Method for Trace Norm Minimalization (pp. 457-464) 26th International Conference on Machine Learning (ICML 2009).
Yang, M., Ji, S., Xu, W., Wang, J., Lv, F., Yu, K., Gong, Y., Dikmen, M., Lin, D. J.. and Huang, T. S.. (2009). Detecting Human Actions in Surveillance Videos TREC Video Retrieval Evaluation Workshop.
Li, Y., Ji, S., Kumar, S., Ye, J. and Zhou, Z. (2009). Drosophila Gene Expression Pattern Annotation through Multi-instance Multi-label Learning (pp. 1445-1450) 21st International Joint Conference on Artifical Intelligence (IJCAI 2009).
Ji, S. and Ye, J. (2009). Linear Dimensionality Reduction for Multi-label Classification (pp. 1077-1082) 21st International Joint Conference on Artificial Intelligence (IJCAI 2009).
Sun, L., Ji, S. and Ye, J. (2008). A Least Squares Formulation for Canonical Correlation Analysis (pp. 1024-1031) 25th International Conference on Machine Learning (ICML 2008).
Ji, S. and Ye, J. (2008). A Unified Framework of Generalized Linear Discriminant Analysis IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008).
Ji, S., Yuan, L., Li, Y., Zhou, Z., Kumar, S. and Ye, J. (2008). Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-term Interactions (pp. 407-416) Proceedings of the 15th ACM SIGKDD International Conference on Knowledg Discovery and Data Mining (SIGKDD 2008).
Ji, S., Tang, L., Yu, S. and Ye, J. (2008). Extracting Shared Subspace for Multilabel Classification (pp. 668-676) 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008).
Sun, L., Ji, S. and Ye, J. (2008). Hypergraph Spectral Learning for Multi-label Classification (pp. 668-676) 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008).
Chen, J., Ji, S., Ceran, B., Li, Q., Wu, M. and Ye, J. (2008). Learning Subspace Kernals for Classification (pp. 106-114) 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008).
Shen, B., Ji, S. and Ye, J. (2008). Mining Discrete Patterns via Binary Matrix Factorization (pp. 757-766) Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008).
Ji, S., Sun, L., Jin, R. and Ye, J. (2008). Multi-label Multiple Kernel Learning (pp. 777-784) 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008).
Ye, J., Ji, S. and Chen, J. (2007). 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2007) (pp. 854-863) Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2007).
Ye, J., Chen, J. and Ji, S. (2007). Discriminant Kernal and Regularization Parameter Learning via Semidefinite Programming (pp. 1095-1102) 24th International Conference on Machine Learning (ICML 2007).

Presentations

Ji, S. ( 2010). Mining Sparse Representations: Theory, Algorithms, and Applications 2010 SIAM Conference on Data Mining .
Ji, S. ( 2009). Machine Learning for Biomedical Informatics BMI 502: Research Methods in Biomedical Informatics .
Ji, S. ( 2009). Global Analysis of Spatiotemporal Gene Expression Dynamics in Drosophila CSE 494/598: Introduction to Data Mining .
Ji, S. ( 2009). Machine Learning Approaches for Drosophila Gene Expression Pattern Image Analysis CSE 591: Machine Learning and Applications .
Ji, S. ( 2009). Three Lectures on Nonsmooth Convex Programming Machine Learning Seminar .
Ji, S. (August 19, 2009). 3D Convultional Neural Networks for Human Action Recognition Cupertino, CA.
Ji, S. (July 17, 2009). Linear Dimensionality Reduction for Multi-label Classification 21st International Joint Conference on Artificial Intelligence (IJCAI 2009) Pasadena, CA.
Ji, S. (June 16, 2009). An Accelerated Gradient Method for Trace Norm Minimalization 26th International Conference on Machine Learning (ICML 2009) Montreal, Canada.
Ji, S. (August 26, 2008). Extracting Shared Subspace for Multi-label Classification 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008) Las Vegas.
Ji, S. ( 2007). Five lectures on Approximate Inference on Graphical Models Machine Learning Seminar .
Ji, S. (May 26, 2007). Machine Learning Approaches for Drosophila Gene Expression Pattern Image Analysis 39th Symposium on the Interface: Computing Science and Statistics (Interface 2007) Philadelphia.
Ji, S. ( 2006). CSE 210: Object-Oriented Design and Data Structures .
  • 2010: Outstanding PhD Student in Computer Science, Arizona State University
  • 2009: Best Performer in TRECVID video surveillance evaluation, National Institute of Standards and Technology
  • 2009: Student Scholarship, 26th International Conference on Machine Learning
  • 2008: Conference Travel Grant Award, Graduate and Professional Student Association (GPSA), Arizona State University
  • 2008: Student Travel Award, The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008)
  • 2008: Student Travel Award, The 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008)
  • 2007: Student Travel Award, The 24th International Conference on Machine Learning (ICML 2007)