Thesis

 

l      Wei Liu

Large-Scale Machine Learning for Classification and Search
PhD Thesis, Graduate School of Arts and Sciences, Columbia University, 2012.
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Journal Articles and Technical Reports

l     Xiao Wang, Shiqian Ma, and Wei Liu

Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
arXiv:1412.1196
link

 

l     Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, and Shaoting Zhang

Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval
Accepted by IEEE Transactions on Medical Imaging,
2014.
preprint

l     Yue Gao, Rongrong Ji, Wei Liu, Qionghai Dai, and Gang Hua

Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes
IEEE Transactions on Image Processing, vol. 23, no. 12, pp. 5400-5411, December
2014.
pdf

l     Liujuan Cao, Xian-Ming Liu, Wei Liu, Rongrong Ji, and Thomas Huang

Localizing Web Videos Using Social Images

Accepted by Information Sciences, 2014 (Elsevier).
preprint

l     Rongrong Ji, Yue Gao, Wei Liu, Xing Xie, Qi Tian, and Xuelong Li

When Location Meets Social Multimedia: A Survey on Vision-based Recognition and Mining for Geo-Social Multimedia Analytics
To appear in ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 2,
2014.
pdf

l     Yadong Mu, Wei Liu, and Shuicheng Yan

Video De-Fencing
IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 7, pp. 1111-1121, July
2014.
pdf

l     Liujuan Cao, Rongrong Ji, Wei Liu, Hongxun Yao, and Qi Tian

Weakly Supervised Codebook Learning by Iterative Label Propagation with Graph Quantization
Signal Processing, vol. 93, no. 8, pp. 2274–2283, August 2013
(Elsevier).
pdf

l     Liujuan Cao, Rongrong Ji, Yue Gao, Wei Liu, and Qi Tian

Mining Spatiotemporal Video Patterns towards Robust Action Retrieval
Neurocomputing, vol. 105, no. 1, pp. 61-69, April
2013 (Elsevier).

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l     Yan Chen, Jiemi Zhang, Deng Cai, Wei Liu, and Xiaofei He

Nonnegative Local Coordinate Factorization for Image Representation
IEEE Transactions on Image Processing, vol. 22, no. 3, pp. 969-979, March
2013.
pdf

 

l     Wei Liu, Jun Wang, and Shih-Fu Chang

Robust and Scalable Graph-Based Semisupervised Learning
Proceedings of the IEEE, vol. 100, no. 9, pp. 2624-2638, September 2012.
pdf

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 (2 NIPS, 3 ICML, 2 KDD, 10 CVPR, 3 ICCV, 4 ECCV, 3 IJCAI, 4 AAAI, 1 SIGIR)

( *  refer to students I ever (co-)supervised and am (co-)supervising)

l     Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith and Shih-Fu Chang
Low-Rank Similarity Metric Learning in High Dimensions
AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015 (26.67% acceptance rate). 

l     Zhouyu Fu, Feifei Pan, Cheng Deng, and Wei Liu
Optimizing Bag Features for Multiple-Instance Retrieval
AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015 (26.67% acceptance rate).

l     Wei Liu, Cun Mu, Sanjiv Kumar, and Shih-Fu Chang
Discrete Graph Hashing
Advances in Neural Information Processing Systems (NIPS) 27, Montreal, Canada, 2014 (spotlight oral, 4.89% acceptance rate).
pdf  sup-material  slides

l     Yuanjun Xiong*, Wei Liu, Deli Zhao, and Xiaoou Tang
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
Advances in Neural Information Processing Systems (NIPS) 27, Montreal, Canada, 2014 (24.67% acceptance rate).
pdf  sup-material

l     Wei Liu, Gang Hua, and John R. Smith
Unsupervised One-Class Learning for Automatic Outlier Removal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, 5.75% acceptance rate).
pdf  slides  video

l     Chen Chen, Yeqing Li, Wei Liu, and Junzhou Huang
Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, 5.75% acceptance rate).
pdf  video
 

l     Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, and Stephen Mingyu Chu
Graduated Consistency-Regularized Optimization for Multi-Graph Matching
European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014 (25.0% acceptance rate).
pdf

l     Yeqing Li, Chen Chen, Wei Liu, and Junzhou Huang
Sub-Selective Quantization for Large-Scale Image Search
AAAI Conference on Artificial Intelligence (AAAI), Quebec City, Canada, 2014 (oral, 28.31% acceptance rate).
pdf

l     Qilin Zhang, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang
Can Visual Recognition Benefit from Auxiliary Information in Training?‏
Asian Conference on Computer Vision (ACCV), Singapore, 2014 (oral, <4% acceptance rate).

l     Hao Li*, Wei Liu, and Heng Ji
Two-Stage Hashing for Fast Document Retrieval
Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, Maryland, USA, 2014.
pdf

l     Weiwei Guo, Wei Liu, and Mona Diab
Fast Tweet Retrieval with Compact Binary Codes
International Conference on Computational Linguistics (Coling), Dublin, Ireland, 2014.
pdf

l     Yan Zhu, Shaoting Zhang, Wei Liu, and Dimitris N. Metaxas
Scalable Histopathological Image Analysis via Active Learning
Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, USA, 2014 (~10% acceptance rate).
Student Travel Award
pdf

l     Xiaofan Zhang, Lin Yang, Wei Liu, Hai Su, and Shaoting Zhang
Mining Histopathological Images via Composite Hashing and Online Learning
Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, USA, 2014 (~10% acceptance rate).
Student Travel Award
pdf

l     Xiaofan Zhang, Wei Liu, and Shaoting Zhang
Mining Histopathological Images via Hashing-Based Scalable Image Retrieval
IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014.
Best Paper Travel Award (one of three award papers selected from about 600 submissions)
pdf

l     Jingjing Liu, Shaoting Zhang, Wei Liu, Xiaofan Zhang, and Dimitris N. Metaxas
Scalable Mammogram Retrieval Using Anchor Graph Hashing
IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014.
pdf

l     Yuanjun Xiong*, Wei Liu, Deli Zhao, and Xiaoou Tang
Face Recognition via Archetype Hull Ranking
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 (27.87% acceptance rate).
pdf  poster

l     Jun Wang, Wei Liu, Andy Sun, and Yu-Gang Jiang
Learning Hash Codes with Listwise Supervision
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 (27.87% acceptance rate).
pdf

l     Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, and Xinbo Gao
Visual Reranking through Weakly Supervised Multi-Graph Learning
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 (27.87% acceptance rate).
pdf

l     Jialong Wang, Cheng Deng, Wei Liu, Rongrong Ji, Xiangyu Chen, and Xinbo Gao
Query-Dependent Visual Dictionary Adaptation for Image Reranking
ACM International Conference on Multimedia (ACM MM), Barcelona, Spain, 2013 (short oral).
pdf

l     Tongtao Zhang*, Rongrong Ji, Wei Liu, Dacheng Tao, and Gang Hua
Semi-Supervised Learning with Manifold Fitted Graphs
International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013 (28.0% acceptance rate).
pdf

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).
pdf  sup-material  slides

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  slides  video  code

l     Yu-Gang Jiang, Qi Dai, Xiangyang Xue, Wei Liu, and Chong-Wah Ngo
Trajectory-Based Modeling of Human Actions with Motion Reference Points

European Conference on Computer Vision (ECCV), Firenze, Italy, 2012 (28.4% acceptance rate).
pdf

l     Kun Zhao*, Wei Liu, and Jianzhuang Liu
Optimal Semi-Supervised Metric Learning for Image Retrieval

ACM International Conference on Multimedia (ACM MM), 2012 (short oral).
pdf

l     Liujuan Cao, Rongrong Ji, Wei Liu, Yue Gao, Ling-Yu Duan, and Chaoguang Men
Weakly Supervised Topic Grouping of YouTube Search Results

IEEE International Conference on Image Processing (ICIP), Orlando, Florida, USA, 2012.
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 (now ICMR), 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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