Journal Articles and Technical Reports
l Wei Liu, Jun Wang, and Shih-Fu Chang
Robust and Scalable
Graph-Based Semi-Supervised Learning
To appear in Proceedings of the IEEE,
special issue on Web-Scale Multimedia Processing and Applications, September 2012.
l Rongrong
Ji, Hongxun Yao, Wei Liu, Xiaoshuai
Sun, and Qi Tian
Task-Dependent
Visual-Codebook Compression
IEEE Transactions on Image Processing,
vol. 21, no. 4, pp. 2282-2293, April 2012.
pdf
l Si Si, Wei Liu, Dacheng Tao, and Kwok-Ping Chan
Distribution Calibration in Riemannian
Symmetric Space
IEEE Transactions on Systems, Man, and
Cybernetics-Part B: Cybernetics, vol. 41, no. 4, pp. 921 – 930, August 2011.
pdf
l Steven C.H. Hoi,
Wei Liu, and Shih-Fu Chang
Semi-Supervised Distance Metric Learning
for Collaborative Image Retrieval and Clustering
ACM Transactions on Multimedia Computing,
Communications and Applications (TOMCCAP), vol. 6, no. 3, article 18,
August 2010.
pdf
l Wei
Liu et al.
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
Biometric Authentication, Lecture Notes
in Computer Science, vol. 3087, pp. 32-44, 2004 (Springer).
pdf
l HAN Yi-ping, YU
Hang, and LIU Wei
Classification of DNA Sequences
Mathematics in Practice and Theory,
vol. 31, no, 1, pp. 38-45, January 2001 (in Chinese).
Problem Paper
Refereed Conference Papers
l Wei Liu, Jun Wang, Yadong Mu, Sanjiv
Kumar, and Shih-Fu Chang
Compact Hyperplane
Hashing with Bilinear Functions
International Conference on Machine Learning (ICML), Edinburgh, Scotland, 2012
(oral, 27.3% acceptance rate).
l Wei Liu, Jun Wang, Rongrong Ji,
Yu-Gang Jiang, and Shih-Fu Chang
Supervised
Hashing with Kernels
IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island,
USA, 2012 (oral, 2.48% acceptance rate).
pdf
l Wei Liu, Jun Wang, Sanjiv Kumar, and Shih-Fu Chang
Hashing
with Graphs
International Conference on Machine Learning (ICML), Bellevue, Washington,
USA, 2011 (oral, 25.8% acceptance rate).
pdf
slides video code
l Wei Liu, Yu-Gang Jiang, Jiebo Luo,
and Shih-Fu Chang
Noise
Resistant Graph Ranking for Improved Web Image Search
IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA,
2011 (26.0% acceptance rate).
pdf
slides
l Bin Xu, Jiajun Bu, Chun Chen, Deng Cai, Xiaofei He, Wei Liu, and Jiebo
Luo
Efficient Manifold Ranking for Image Retrieval
International ACM SIGIR
Conference on Research and Development in Information Retrieval (SIGIR), Beijing, China, 2011 (full oral, 19.8% acceptance rate).
pdf
l Wei Liu et al.
Semi-Supervised
Sparse Metric Learning Using Alternating Linearization Optimization
ACM SIGKDD Conference on Knowledge Discovery and Data
Mining (KDD),
Washington DC, USA, 2010 (full oral, 13.3% acceptance rate).
pdf video
l Junfeng He, Wei Liu,
and Shih-Fu Chang
Scalable
Similarity Search with Optimized Kernel Hashing
ACM SIGKDD Conference on Knowledge Discovery and Data
Mining (KDD),
Washington DC, USA, 2010 (full oral, 13.3% acceptance rate).
pdf
l Wei Liu, Junfeng
He, and Shih-Fu Chang
Large Graph Construction for Scalable
Semi-Supervised Learning
International Conference on Machine
Learning (ICML), Haifa, Israel, 2010 (oral, 25.6% acceptance rate).
pdf
slides code
l Wei Liu and Shih-Fu Chang
Robust Multi-Class Transductive
Learning with Graphs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami
Beach, Florida, USA, 2009 (26.2% acceptance rate).
pdf slides
code
l Wei Liu, Wei Jiang, and Shih-Fu
Chang
Relevance Aggregation Projections for Image
Retrieval
ACM International Conference on Image and
Video Retrieval (CIVR), Niagara Falls, Canada, 2008 (full
oral).
pdf slides
l Steven C.H. Hoi, Wei Liu, and Shih-Fu Chang
Semi-Supervised Distance Metric Learning
for Collaborative Image Retrieval
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Anchorage, Alaska, USA, 2008 (31.9% acceptance rate).
pdf slides code
l Yiwen
Luo, Wei Liu,
Jianzhuang Liu, and Xiaoou
Tang
MQSearch: Image Search by Multi-Class Query
SIGCHI Conference on Human Factors in
Computing Systems (CHI), Florence, Italy, 2008 (short oral).
pdf
l Wei Liu et al.
Output Regularized Metric Learning with
Side Information
European Conference on Computer Vision (ECCV), Marseille, France, 2008
(27.9% acceptance rate).
pdf
l Wei Liu et al.
Transductive Component Analysis
IEEE International Conference on Data Mining (ICDM), Pisa, Italy, 2008
(full oral, 9.7% acceptance rate).
pdf
l Wei Liu et al.
Constrained Metric Learning Via Distance Gap Maximization
AAAI Conference on Artificial Intelligence (AAAI), Atlanta, GA, USA, 2010 (oral, 26.9%
acceptance rate).
pdf
l Wei Liu et al.
Spectral
Kernel Learning for Semi-Supervised Classification
International Joint Conference on Artificial Intelligence (IJCAI),
Pasadena, CA, USA, 2009 (oral, 25.7% acceptance rate).
pdf
l Wei Liu, Xiaoou
Tang, and Jianzhuang Liu
Bayesian Tensor Inference for
Sketch-based Facial Photo Hallucination
International Joint Conference on
Artificial Intelligence (IJCAI), Hyderabad, India, 2007 (oral, 15.7%
acceptance rate).
pdf
slides
l Yuandong
Tian, Wei Liu,
Rong Xiao, Fang Wen, and Xiaoou Tang
A Face Annotation Framework with Partial
Clustering and Interactive Labeling
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Minneapolis, Minnesota, USA, 2007 (28.2% acceptance rate).
pdf
slides
l Steven C.H. Hoi, Wei Liu, Michael R. Lyu,
and Wei-Ying Ma
Learning Distance Metrics with
Contextual Constraints for Image Retrieval
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New
York, NY, USA, 2006 (28.1% acceptance rate).
pdf
slides
l Wei Liu, Zhifeng
Li, and Xiaoou Tang
Spatio-temporal Embedding for Statistical Face
Recognition from Video
European Conference on Computer Vision (ECCV), Graz, Austria, 2006
(21.4% acceptance rate).
pdf slides
l Wei Liu, Dahua
Lin, and Xiaoou Tang
Hallucinating Faces: TensorPatch
Super-Resolution and Coupled Residue Compensation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San
Diego, CA, USA, 2005 (oral, 6.4% acceptance rate).
pdf
slides
l Zhifeng
Li, Wei Liu, Dahua
Lin, and Xiaoou Tang
Nonparametric Subspace Analysis for Face
Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San
Diego, CA, USA, 2005 (27.9% acceptance rate).
pdf
l Wei Liu and Xiaoou
Tang
Learning an Image-Word Embedding for
Image Auto-Annotation on the Nonlinear Latent Space
ACM International Conference
on Multimedia (ACM MM), Singapore, 2005 (short oral).
pdf
l Wei Liu, Dahua
Lin, and Xiaoou Tang
Neighbor Combination and Transformation
for Hallucinating Faces
IEEE International Conference on Multimedia and Expo (ICME), Amsterdam,
Netherlands, 2005 (oral).
pdf
l Dahua Lin, Wei Liu, and Xiaoou Tang
Layered Local Prediction Network with Dynamic
Learning for Face Super-Resolution
IEEE
International Conference on Image Processing (ICIP), Genova, Italy, 2005.
pdf
l Wei Liu, Dahua
Lin, and Xiaoou Tang
Face Hallucination Through Dual
Associative Learning
IEEE
International Conference on Image Processing (ICIP), Genova, Italy, 2005.
pdf
l Wei Liu et al.
Local Manifold Matching for Face
Recognition
IEEE
International Conference on Image Processing (ICIP), Genova, Italy, 2005.
pdf
l Wei Liu et al.
Null Space-based Kernel Fisher Discriminant Analysis for Face Recognition
IEEE International Conference on
Automatic Face and Gesture Recognition (FGR), Seoul, Korea, 2004.
pdf
l Wei Liu et al.
Nearest Intra-Class Space Classifier for
Face Recognition
International Conference on Pattern
Recognition (ICPR), Cambridge, UK, 2004.
pdf
l Wei Fan, Yunhong
Wang, Wei Liu, and Tieniu Tan
Combining Null Space-based Gabor
Features for Face Recognition
International Conference on Pattern
Recognition (ICPR), Cambridge, UK, 2004.
pdf
Earlier Papers
Hang Yu, Wei Liu, and Yiping Han
What If Another Floyd? - Escaping a
Hurricane's Wrath
The 17th Annual International Mathematical
Contest in Modeling (MCM), Meritorious Award Paper, USA, 2001.
Problem Paper
Wei
Liu, Yiping Han, and Hang Yu
Channel Assignment Strategies for
Cellular Phone Systems
The 16th Annual International Mathematical Contest in Modeling
(MCM), Meritorious Award Paper,
USA, 2000.
Problem Paper
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