Yunchao Gong

234 Sitternson Hall

201 South Columbia Street

University of North Carolina at Chapel Hill

Chapel Hill, NC 27599-3175 USA

yunchao_@_cs.unc.edu

I am a Ph.D. student in the Department of Computer Science, University of North Carolina at Chapel Hill. My advisor is Svetlana Lazebnik. I am interested in large-scale image recognition and retrieval.

Education

· 2009.8--present	Ph.D.	Computer Science	University of North Carolina at Chapel Hill
· 2009.8--2012.5	M.S.	Computer Science	University of North Carolina at Chapel Hill
· 2005.9--2009.6	B.E.	Software Engineering	Nanjing University

Research Interests

· Computer Vision: large-scale image retrieval and recognition, modeling internet image collections

· Machine Learning: large-scale classification, spectral clustering, dimensionality reduction

Selected Awards

· Panxueping Scholarship (~20/12000).

· First Place of the YongYou Cup Software Design Competition.

· First Grade Renmin Scholarship of Nanjing University (~3%).

Research Experience

· Research Intern (2012.5-2012.8), Google Research, New York.

Mentor: Dr. Sanjiv Kumar.

Project: Large-scale approximate nearest neighbor search.

· Research Intern (2011.5-2011.8), Microsoft Research, Silicon Valley.

Mentor: Dr. Qifa Ke and Dr. Michael Isard.

Project: Modeling internet images and text/tags for cross-modal retrieval.

· Research Intern (2010.6-2010.8), ObjectVideo Inc.

Mentor: Dr. Niels Haering.

Project: Part based vehicle detection and recognition.

Recent Projects

	Large-scale image search and classification Fast binary code based indexing schemes for large-scale image search.
	Cross-modal image retrieval A system for cross modal image retrieval learned from Flickr data. The user can use images to query image, and can also use tags to query images. Left sample images correspond to tag queries “deer” and “deer snow”.

Publication

Yunchao Gong, S. Lazebnik, A. Gordo, and F. Perronnin. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Search. Under Review, IEEE Transaction on Pattern Analysis and Machine Intelligence, TPAMI, 2012. [PDF]

A. Gordo, F. Perronnin, Yunchao Gong, and S. Lazebnik,. Asymmetric Distances for Binary Embeddings. Under Review, IEEE Transaction on Pattern Analysis and Machine Intelligence, TPAMI, 2012. [PDF]

Yunchao Gong and S. Lazebnik. Iterative Quantization: A Procrustean Approach to Learning Binary Codes. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011. (Oral, acceptance rate: 3.5%) [PDF][Project]

Yunchao Gong and S. Lazebnik. Comparing Data-Dependent and Data-Independent Embeddings for Classification and Ranking of Internet Images. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011. (Acceptance rate: 26%) [PDF][Project]

Yunchao Gong and C. Chen. Locality Spectral Clustering. In: Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence (AI 08), Auckland,New Zealand, 2008.

Yunchao Gong, C. Chen et al. Graph-Based Semi-Supervised Learning with Redundant Views. In: Proceedings of the 19th International Conference on Pattern Recognition (ICPR), Tampa, Florida, US, 2008. (Oral, acceptance rate: 15%)

Yunchao Gong and C. Chen. Semi-supervised Method for Gene Expression Data Classification with Gaussian Fields and Harmonic Functions. In: Proceedings of the 19th International Conference on Pattern Recognition (ICPR), Tampa, Florida, US, 2008.

C. Chen, Yunchao Gong et al. KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis. In: Proceedings of the 2008 International Conference on Computational Science (ICCS), 2008.