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- Shuiwang Ji
- Assistant Professor
- Computer Science Department
- 3325 Engr and Comp Sci Bldg
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Norfolk,
VA
23529
- 757-683-7717
- sji@odu.edu
- Web Page
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Education
- Arizona State University,
2010
- Major: Computer Science
- Degree: Ph. D.
- Wuhan University of Science and Technology,
2002
- Major: Computer Science
- Degree: M.S.
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Research Interests
- Machine Learning: Theory and algorithms for dimensionality reduction, multiple kernal learning, multi-task learning, convex
optimization, and deep learning
Computer Vision: Deep learning for visual object and action recognition
Computational 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
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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.
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Articles
- Ji, S., Tang, L., Yu, S., and Ye, J. A Shared-Subspace Learning Framework for Multi-Label Classification. ACM Transactions on Knowledge Discovery from Data, 4 (2), (pp. 1-29).
- Sun, L., Ji, S., and Ye, J. Canonical Correlation Analysis for Multi-Lable Classification: A Least Squares Formulation, Extensions and Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence
- 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),
- Liu, J., Ji, S., and Ye, J. Multi-task Feature Learning via Efficient l2,1-norm Minization. Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI)
- Pong, T., Tseng, P., Ji, S., and Ye, J. Trace Norm Regularization: Reformations, Algorithms, and Multi-task Learning. SIAM Journal on Optimization
- 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).
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Presentations
- Mining Sparse Representations: Theory, Algorithms, and Applications
- Conference Name: SIAM
- Sponsoring Organization: SIAM
- Date: 2010
- Authors/Presenters:
Ji, S. Presenter & Author
- Machine Learning for Biomedical Informatics
- Conference Name: Arizona State University
- Sponsoring Organization: Arizona State University
- Date: 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- Global Analysis of Spatiotemporal Gene Expression Dynamics in Drosophila
- Conference Name: Arizona State University
- Sponsoring Organization: Arizona State University
- Date: 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- Machine Learning Approaches for Drosophila Gene Expression Pattern Image Analysis
- Conference Name: Arizona State University
- Sponsoring Organization: Arizona State University
- Date: 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- Three Lectures on Nonsmooth Convex Programming
- Conference Name: Arizona State University
- Sponsoring Organization: Arizona State University
- Date: 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- 3D Convultional Neural Networks for Human Action Recognition
- Sponsoring Organization: NEC Laboratiories America, Inc.,
- Location: Cupertino, CA
- Date: August 19, 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- Linear Dimensionality Reduction for Multi-label Classification
- Conference Name: IJCAI
- Sponsoring Organization: IJCAI
- Location: Pasadena, CA
- Date: July 17, 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- An Accelerated Gradient Method for Trace Norm Minimalization
- Conference Name: ICML
- Sponsoring Organization: ICML
- Location: Montreal, Canada
- Date: June 16, 2009
- Authors/Presenters:
Ji, S. Presenter & Author
- Extracting Shared Subspace for Multi-label Classification
- Conference Name: SIGKDD
- Sponsoring Organization: SIGKDD
- Location: Las Vegas
- Date: August 26, 2008
- Authors/Presenters:
Ji, S. Presenter & Author
- Five lectures on Approximate Inference on Graphical Models
- Conference Name: Arizona State University
- Sponsoring Organization: Arizona State University
- Date: 2007
- Authors/Presenters:
Ji, S. Presenter & Author
- Machine Learning Approaches for Drosophila Gene Expression Pattern Image Analysis
- Conference Name: Interface
- Sponsoring Organization: Interface
- Location: Philadelphia
- Date: May 26, 2007
- Authors/Presenters:
Ji, S. Presenter & Author
- Conference Name: Arizona State University
- Sponsoring Organization: Arizona State University
- Date: 2006
- Authors/Presenters:
Ji, S. Presenter & Author
- 2009: Best Performer in TRECVID video surveillance evaluation, National Institute of Standards and Technology
- 2008: Conference Travel Grant Award, Graduate and Professional Student Association (GPSA), Arizona State University
- 2010: Outstanding PhD Student in Computer Science, Arizona State University
- 2009: Student Scholarship, 26th International Conference on Machine Learning
- 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)
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Intellectual Property
- 3D Convolutional Neural Networks for Automatic Human Action Recognition
- Patent/Copyright: Patent
- Patent Nationality: United States