Wei Liu                                   刘威


Research Staff Member of IBM T. J. Watson Research Center

Ph.D. of Columbia University

Thesis supervisor: Professor Shih-Fu Chang

Email: weiliu at or wliu at 

Google Scholar Page    IBM Research Page


Research interests: machine learning, data mining, information retrieval, and

computer vision. My PhD thesis is dedicated to large-scale machine learning algorithms 

for classification and search. Currently, I am working on combinatorial, parallel, and distributed optimization methods to tackle noise/outlier present, high-dimensional, and large-scale learning problems. I am particularly interested in developing binary coding

and hashing techniques to handle big data.


     Resume   Publications   Courses   Collaborators
















l        I am teaching the Computer Vision course at Stevens Institute of Technology in 2015 Spring.

l        I act as a guest editor of  ACM TIST Special Issue on Mobile Social Multimedia Analytics in the Big Data Era 2015.

l        Two papers are accepted by AAAI’15.

l        I am teaching the Database Mining course at RPI in 2014 Fall.

l        Two papers are accepted by NIPS’14, and one is spotlight oral.

l        Two papers are accepted by CVPR’14 oral sessions.

l        One paper is accepted by ECCV’14, and one paper is accepted by AAAI’14.

l        Two papers are accepted by MICCAI’14.

l        One paper wins the Best Paper Travel Award of IEEE International Symposium on Biomedical Imaging (ISBI), 2014.

l        Three papers were accepted by ICCV’13. Thanks to the support of Josef Raviv Memorial Postdoctoral Fellowship.

l        I act as a guest editor of Neurocomputing Special Issue on Learning for 3D Understanding 2013.

l        I won Jury Award for best thesis of Department of Electrical Engineering, Columbia University, 2013.

l        I passed my PhD defense on August 24th, 2012.

l        I won Josef Raviv Memorial Postdoctoral Fellowship 2012-2013.

l        I was awarded Facebook Fellowship 2011-2012 (one of five winners worldwide). Thanks to Facebook!



Significant Publications


1.        Large-Scale Machine Learning for Classification and Search   Wei Liu. PhD Thesis 2012.

2.        Robust and Scalable Graph-Based Semisupervised Learning   Wei Liu et al. Proceedings of the IEEE 2012.

3.        Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval   Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, and Shaoting Zhang. IEEE TMI 2014.

4.        Video De-Fencing   Yadong Mu, Wei Liu, and Shuicheng Yan. IEEE TCSVT 2014.

5.        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).

6.        Zeta Hull Pursuits: Learning Nonconvex Data Hulls   Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. NIPS 2014. New!

7.        Discrete Graph Hashing   Wei Liu et al. NIPS 2014 (spotlight oral). New!

8.        Compact Hyperplane Hashing with Bilinear Functions   Wei Liu et al. ICML 2012 (oral).

9.        Hashing with Graphs   Wei Liu et al. ICML 2011 (oral). code

10.     Large Graph Construction for Scalable Semi-Supervised Learning   Wei Liu et al. ICML 2010 (oral). code

11.     Semi-Supervised Sparse Metric Learning Using Alternating Linearization Optimization   Wei Liu et al. KDD 2010 (full oral).

12.     Unsupervised One-Class Learning for Automatic Outlier Removal   Wei Liu et al. CVPR 2014 (oral). New!

13.     Supervised Hashing with Kernels   Wei Liu et al. CVPR 2012 (oral). code

14.     Noise Resistant Graph Ranking for Improved Web Image Search   Wei Liu et al. CVPR 2011.

15.     Robust Multi-Class Transductive Learning with Graphs   Wei Liu and Shih-Fu Chang. CVPR 2009. code

16.     Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation   Wei Liu et al. CVPR 2005 (oral).

17.     Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval   Steven C. H. Hoi, Wei Liu, and Shih-Fu Chang. CVPR 2008. code

18.     A Face Annotation Framework with Partial Clustering and Interactive Labeling   Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, and Xiaoou Tang. CVPR 2007.

19.     Learning Distance Metrics with Contextual Constraints for Image Retrieval   Steven C.H. Hoi, Wei Liu, Michael R. Lyu, and Wei-Ying Ma. CVPR 2006.

20.     Nonparametric Subspace Analysis for Face Recognition   Zhifeng Li, Wei Liu, Dahua Lin, and Xiaoou Tang. CVPR 2005.

21.     Face Recognition via Archetype Hull Ranking   Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. ICCV 2013.

22.     Learning Hash Codes with Listwise Supervision   Jun Wang, Wei Liu, Andy Sun, and Yu-Gang Jiang. ICCV 2013.

23.     Output Regularized Metric Learning with Side Information   Wei Liu et al. ECCV 2008.

24.     Spatio-temporal Embedding for Statistical Face Recognition from Video   Wei Liu et al. ECCV 2006.

25.     Low-Rank Similarity Metric Learning in High Dimensions   Wei Liu et al. AAAI 2015. New!

26.     Constrained Metric Learning via Distance Gap Maximization    Wei Liu et al. AAAI 2010.

27.     Spectral Kernel Learning for Semi-Supervised Classification    Wei Liu et al. IJCAI 2009.

28.     Bayesian Tensor Inference for Sketch-based Facial Photo Hallucination    Wei Liu et al. IJCAI 2007.





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