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Wei
Liu
刘威 PhD Candidate in
Digital Video and Multimedia Lab (DVMM) Supervisor:
Professor Shih-Fu Chang Department of Electrical Engineering, Columbia University Email: wliu at
ee.columbia.edu Research
interests: machine learning, data mining, information retrieval, computer vision,
and pattern recognition. My thesis is dedicated to large-scale machine learning algorithms for image classification and search.
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News
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I win Josef Raviv Memorial
Postdoctoral Fellowship 2012-2013, and will join IBM T. J. Watson Research
Center in September.
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One paper is
accepted by Proceedings of the IEEE special issue.
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One paper is
accepted by ICML’12. Thanks to Facebook Fellowship’s
support.
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One paper is
accepted by CVPR’12 oral session.
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I visited Facebook, Inc. at Palo Alto and gave a talk
entitled “Large-Scale Classification and Nearest Neighbor Search”.
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Released the Matlab code for my CVPR’08 and TOMCCAP’10 papers.
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Released the Matlab code for my ICML’11 paper.
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I finished the
wonderful summer intern with IBM
T. J. Watson Research Center.
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I was awarded Facebook
Fellowship 2011-2012 (one of five winners worldwide). Thanks to Facebook!
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One
paper joint with IBM Research and Google Research was accepted by
ICML’11.
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One
paper joint with Kodak Research was
accepted by CVPR’11.
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Released
the Matlab code for my ICML’10 paper.
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Released
the Matlab code for my CVPR’09 paper.
Significant
Publications
1. Robust and Scalable Semi-Supervised Learning Wei
Liu, Jun Wang, and Shih-Fu Chang. Proceedings of
the IEEE 2012. New
2. Semi-Supervised
Distance Metric Learning for Collaborative Image Retrieval and Clustering Steven C. H. Hoi, Wei Liu, and Shih-Fu
Chang. TOMCCAP 2010
(a long version of CVPR 2008 with code therein).
3. Compact Hyperplane Hashing with Bilinear Functions Wei
Liu, Jun Wang, Yadong Mu, Sanjiv
Kumar, and Shih-Fu Chang. ICML 2012
(oral). New
4. Hashing
with Graphs Wei Liu, Jun Wang, Sanjiv Kumar, and Shih-Fu Chang. ICML 2011 (oral). code
5. Large
Graph Construction for Scalable Semi-Supervised Learning Wei Liu, Junfeng
He, and Shih-Fu Chang. ICML 2010
(oral). code
6. Semi-Supervised
Sparse Metric Learning Using Alternating Linearization Optimization Wei Liu et al. KDD 2010 (full oral).
7. Supervised Hashing with Kernels Wei
Liu, Jun Wang, Rongrong Ji,
Yu-Gang Jiang, and Shih-Fu Chang. CVPR 2012
(oral). New
8.
Noise
Resistant Graph Ranking for Improved Web Image Search Wei
Liu, Yu-Gang Jiang, Jiebo Luo,
and Shih-Fu Chang. CVPR 2011.
9.
Robust
Multi-Class Transductive Learning with Graphs Wei Liu and Shih-Fu Chang. CVPR
2009. code
10. Hallucinating
Faces: TensorPatch Super-Resolution and Coupled Residue Compensation Wei Liu et al. CVPR 2005 (oral).
11. Semi-Supervised
Distance Metric Learning for Collaborative Image Retrieval Steven C. H. Hoi, Wei Liu, and Shih-Fu Chang. CVPR 2008. code
12. A Face
Annotation Framework with Partial Clustering and Interactive Labeling Yuandong Tian, Wei
Liu, Rong Xiao, Fang Wen,
and Xiaoou Tang. CVPR
2007.
13. Learning Distance
Metrics with Contextual Constraints for Image Retrieval Steven C.H. Hoi, Wei Liu, Michael R. Lyu,
and Wei-Ying Ma. CVPR 2006.
14. Nonparametric
Subspace Analysis for Face Recognition Zhifeng Li, Wei Liu, Dahua Lin, and Xiaoou Tang. CVPR 2005.
15. Output
Regularized Metric Learning with Side Information Wei Liu et al. ECCV 2008.
16. Spatio-temporal
Embedding for Statistical Face Recognition from Video Wei Liu et al. ECCV 2006.
Copyright © 2012