Publications of Wei Liu

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Journals

Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang. Context-Gated Convolution. arXiv preprint arXiv:1910.05577, 2019.
Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang. Learning to Hash for Indexing Big Data - A Survey. Proceedings of the IEEE, 104(1):34-57, 2016.
Wei Liu, Jun Wang, Shih-Fu Chang. Robust and Scalable Graph-Based Semisupervised Learning. Proceedings of the IEEE, 2012.
Steven C.H. Hoi, Wei Liu, Shih-Fu Chang. Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval and Clustering. ACM Transactions on Multimedia Computing, Communications and Applications, 6(3):1-26, 2010.

Conferences

Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang. Multi-granularity generator for temporal action proposal. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 3604-3613, 2019.
Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang. Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Tongtao Zhang, Spencer Whitehead, Hanwang Zhang, Hongzhi Li, Joseph Ellis, Lifu Huang, Wei Liu, Heng Ji, Shih-Fu Chang. Improving Event Extraction via Multimodal Integration. In Proceedings of the 2017 ACM on Multimedia Conference, Pages 270-278, 2017.
Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang. Low-Rank Similarity Metric Learning in High Dimensions. In AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015.
Wei Liu, Cun Mu, Sanjiv Kumar, Shih-Fu Chang. Discrete Graph Hashing. In Advances in Neural Information Processing Systems (NIPS) (spotlight oral, 4.89% acceptance rate), 2014.
Wei Liu, Jun Wang, Yadong Mu, Sanjiv and Chang, Shih-Fu Kumar. Compact Hyperplane Hashing with Bilinear Functions. In International Conference on Machine Learning (ICML), Edinburgh, Scotland, 2012.
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang. Supervised Hashing with Kernels. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (Oral session), 2012.
Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Hashing with Graphs. In International Conference on Machine Learning (ICML), Bellevue, WA, USA, 2011.
Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang. Noise Resistant Graph Ranking for Improved Web Image Search. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.
Junfeng He, Wei Liu, Shih-Fu Chang. Scalable Similarity Search with Optimized Kernel Hashing. In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington, DC, USA, July 2010.
Wei Liu, Junfeng He, Shih-Fu Chang. Large Graph Construction for Scalable Semi-Supervised Learning. In the 27th International Conference on Machine Learning (ICML), Haifa, Israel, June 2010.
Wei Liu, Shih-Fu Chang. Robust Multi-Class Transductive Learning with Graphs. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami Beach, Florida, USA, June 2009.
Wei Liu, Wei Jiang, Shih-Fu Chang. Relevance Aggregation Projections for Image Retrieval. In ACM International Conference on Image and Video Retrieval, Niagara Falls, Canada, July 2008.
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang. Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, June 2008.

Technical Reports

Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang. Learning to Hash for Indexing Big Data - A Survey. Research Report arXiv preprint, arXiv:1509.05472, 2015, 2015. download

Thesis

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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