Welcome to Yang Liu's Homepage! (original) (raw)

Postdoctoral Research Associate

Department of Statistics

Yale University

24 Hillhouse Avenue Room 301

New Haven, CT 06511

Email: yang.liu AT yale.edu

lyhn12003 AT gmail.com

Personal Webpages:

http://www.stat.yale.edu/~yl585/

About me

I am currently a Postdoctoral Research Associate in the Department of Statistics at Yale University, working with Dr. Jing Zhang. Before Joining Yale, I obtained my Ph.D. degree in Computing at The Hong Kong Polytechnic University in 2011, under the supervision of Dr. Yan Liu and Prof. Keith C.C. Chan. Before coming to PolyU, I received my B.S. and M.S. degrees in Automation from National University of Defense Technology in 2004 and 2007, respectively. During Feb. 2010 - Aug. 2010, I visited the Human Sensing Lab in Robotics Institute at Carnegie Mellon University as a Research Scholar.

Current Research Interests

- Machine Learning

Dimensionality reduction, manifold learning, tensor representation

- Data Mining

Decision making, information representation and extraction, large-scale dataset analysis

- Multimedia Content Analysis

Image and video classification, image ranking, video summarization

- Applied Mathematics

Probability and applied statistics, matrix computation and analysis, multilinear algebra

Selected Publications

Journal Papers:

• Shenghua Zhong, Yan Liu, Yang Liu, and Fu-lai Chung. Region Level Annotation by Fuzzy Based Contextual Cueing Label Propagation. Accepted by Multimedia Tools and Applications. (Invited Paper)
• Yang Liu, Yan Liu, and Keith C. C. Chan. Tensor-based locally maximum margin classifier for image and video classification. Computer Vision and Image Understanding, vol. 115, no. 3, pp. 300-309, Mar. 2011.
• Yang Liu, Yan Liu, and Keith C. C. Chan. Tensor distance based multilinear locality-preserving maximum information embedding. IEEE Transactions on Neural Networks, vol. 21, no. 11, pp. 1848-1854, Nov. 2010.
• Yang Liu, Yan Liu, and Keith C. C. Chan. Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture. Signal Processing, vol. 90, no. 8, pp. 2375-2395, Aug. 2010.
• Yang Liu, Yan Liu, and Keith C.C. Chan. Dimensionality reduction for heterogeneous dataset in rushes editing. Pattern Recognition, vol. 42, no. 2, pp. 229-242, Feb. 2009.

Conference Papers:

• Yang Liu, Yan Liu, Shenghua Zhong, and Keith C. C. Chan. Semi-supervised manifold ordinal regression for image ranking. Accepted by 19th ACM International Conference on Multimedia (ACM MM’11), 2011.
• Shenghua Zhong, Yan Liu, and Yang Liu. Bilinear deep learning for image classification. Accepted by 19th ACM International Conference on Multimedia (ACM MM’11), 2011.
• Yang Liu, Yan Liu, and Keith C. C. Chan. Ordinal regression via manifold learning. In Proceedings of 25th AAAI Conference on Artificial Intelligence (AAAI’11), pp. 398-403, 2011.
• Heyun Huang, Yang Liu, Jort Gemmeke, Louis ten Bosch, Bert Cranen, and Lou Boves. Globality-locality consistent discriminant analysis for phone classification. In Proceedings of 12th Annual Conference of the International Speech Communication Association (INTERSPEECH’11), pp. 1253-1256, 2011.
• Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre, and Yan Liu. Unsupervised summarization of rushes videos. In Proceedings of 18th ACM International Conference on Multimedia (ACM MM'10), pp. 751-754, 2010.
• Yang Liu, Yan Liu, and Keith C. C. Chan. Supervised manifold learning for image and video classification. In Proceedings of 18th ACM International Conference on Multimedia (ACM MM'10), pp. 859-862, 2010_._
• Yang Liu, Yan Liu, and Keith C. C. Chan. Multilinear maximum distance embedding via L1-norm optimization. In Proceedings of 24th AAAI Conference on Artificial Intelligence (AAAI'10), pp. 525-530, 2010.
• Shenghua Zhong, Yan Liu, Yang Liu, and Fu-lai Chung. A semantic no-reference image sharpness metric based on top-down and bottom-up saliency map modeling. In Proceedings of 17th IEEE International Conference on Image Processing (ICIP’10), 2010.
• Yang Liu, Yan Liu, and Keith C.C. Chan. Bidirectional visible neighborhood preserving embedding. In Proceedings of ACM International Conference on Internet Multimedia Computing and Service (ACM ICIMCS'09), pp. 169-174, 2009. (Best Student Paper Award)
• Yang Liu and Yan Liu. Tensor distance based multilinear multidimensional scaling for image and video analysis. In Proceedings of 17th ACM International Conference on Multimedia (ACM MM'09), pp. 577-580, 2009.
• Yan Liu, Yang Liu, and Keith C. C. Chan. Multilinear isometric embedding for visual pattern analysis. In Proceedings of IEEE 12th International Conference on Computer Vision, Subspace Workshop (ICCV’09-Subspace), pp. 212-218, 2009.
• Yang Liu, Yan Liu, Tongwei Ren, and Keith C. C. Chan. Rushes video summarization using audio-visual information and sequence alignment. In Proceedings of 16th ACM International Conference on Multimedia, Workshop on TRECVID Video Summarization (ACM MM’08-TVS), pp. 114-118, 2008.
• Yang Liu, Yan Liu, and Keith C.C. Chan. Multiple video trajectories representation using double-layer isometric feature mapping. In Proceedings of IEEE International Conference on Multimedia & Expo (ICME'08), pp. 129-132, 2008.
• Yang Liu, Yan Liu, and Yan Zhang. The Hong Kong Polytechnic University at TRECVID 2007 BBC rushes summarization. In Proceedings of 15th ACM International Conference on Multimedia, Workshop on TRECVID Video Summarization (ACM MM’07-TVS), pp. 50-54, 2007.

Paper Submitted

• Jiehuan Sun, Xintao Hu, Xiu Huang, Yang Liu, Kaiming Li, Xiang Li, Junwei Han, Lei Guo, Tianming Liu, and Jing Zhang. Inferring consistent functional interaction patterns from natural stimulus fMRI data. Submitted to NeuroImage.
• Shenghua Zhong, Yan Liu, and Yang Liu. Robust Image Classification with Human Visual Cortex-Like Mechanisms. Submitted to IEEE Transactions on Multimedia.
• Shenghua Zhong, Yan Liu, Yang Liu, and Changsheng Li. Water Reflection Recognition Based on Motion Blur Invariant Moments in Curvelet Space. Submitted to IEEE Transactions on Image Processing.
• Huan Li, Chao Li, Yang Liu, Zhang Xiong, and Alexander G. Hauptmann. A multi-task learning method for related semantic concept detection. Submitted to Computer Vision and Image Understanding.

Talks and Presentations

• Yang Liu, Dimensionality reduction for multimedia content analysis. Department of Language and Speech, Radboud University Nijmegen, Nijmegen, The Netherlands, October, 2010.
• Yang Liu, Manifold learning for image and video classification. Department of Mathematics, Hong Kong Baptist University, Hong Kong, September 2010.
• Yang Liu, Multilinear maximum distance embedding via L1-norm optimization. The 24th AAAI Conference on Artificial Intelligence (AAAI’10), Atlanta, GA, USA, July 2010.
• Yang Liu, Multilinear subspace learning and its applications in multimedia content analysis. Human Sensing Lab, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA, March, 2010.
• Yang Liu, Dimensionality reduction for multimedia content analysis. Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China, May, 2009.

Activities

- Journal Reviewer:

IEEE Transactions on Neural Networks

IEEETransactions on Knowledge and Data Engineering

ACM Transactions on Intelligent Systems and Technology

Neurocomputing

Pattern Recognition Letters

Multimedia Tools and Applications

Collaborators

Shenghua Zhong, The Hong Kong Polytechnic University, Hong Kong, China

Tongwei Ren, Nanjing University, China

Huan Li, Beihang University, China

Heyun Huang, Radboud University Nijmegen, The Netherlands

Feng Zhou, Carnegie Mellon University, USA

Dong Huang, Carnegie Mellon University, USA

Wei Liu, University of North Carolina at Chapel Hill, USA

Yuan Shi, University of Southern California, USA

Jiehuan Sun, Johns Hopkins University, USA

Xiu Huang, Yale University, USA

Cong Li, Yale University, USA

Tianming Liu, University of Georgia, USA