菜单总览
— 教职人员 —

刘威

职位:

客座副教授

教育背景:

博士(哥伦比亚大学)

学士(浙江大学)

研究领域
机器学习、信息检索、大数据、计算机视觉
Email

wl2223@columbia.edu

个人简介:


刘威现任腾讯杰出科学家与AI Lab计算机视觉中心总监。在此之前,他获得美国哥伦比亚大学计算机科学与电子工程博士学位,曾任IBM沃森研究中心研究科学家。刘博士长期从事机器学习、计算机视觉、信息检索、大数据等AI核心领域的基础研究和技术开发。刘博士的科研成果获得了若干奖项与荣誉,如2013年度哥伦比亚大学优秀博士论文奖,2016与2017连续两年国际信息检索大会 (SIGIR) 最优论文荣誉奖,2018年度 "AI's 10 To Watch" 荣誉。刘博士现任多个国际AI期刊的编委,当选为国际统计学会会士 (Elected Member of the International Statistical Institute)。


学术著作:


Publication:

Journal

Wei Zhang, Bairui Wang, Lin Ma, and Wei Liu, “Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

 

Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, and Yizhou Wang, “End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

 

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, and Shuicheng Yan, "Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

 

Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, and Jie Wang, “Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction”, Journal of Machine Learning Research (JMLR), 2019.

 

Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, and Siwei Lyu, "Multi-label Learning with Missing Labels Using Mixed Dependency Graphs", International Journal of Computer Vision (IJCV), vol. 126, no. 8, pp. 875-896, August 2018.

 

Yeqing Li, Wei Liu, and Junzhou Huang, "Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 6, pp. 1526-1532, June 2018.

 

Guo-Jun Qi, Wei Liu, Charu Aggarwal, and Thomas Huang, "Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 7, pp. 1360-1373, July 2017.

 

Xiao Wang, Shiqian Ma, Donald Goldfarb, and Wei Liu, "Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization", SIAM Journal on Optimization (SIOPT), vol. 27, no. 2, pp. 927-956, May 2017.

 

Wei Liu and Tongtao Zhang, "Multimedia Hashing and Networking", IEEE MultiMedia, vol. 23, no. 3, pp. 75-79, July-September 2016.

 

Jun Wang, Wei Liu, Sanjiv Kumar, and Shih-Fu Chang, "Learning to Hash for Indexing Big Data - A Survey", Proceedings of the IEEE, vol. 104, no. 1, pp. 34-57, January 2016.

 

Wei Liu et al., "Robust and Scalable Graph-Based Semisupervised Learning", Proceedings of the IEEE, vol. 100, no. 9, pp. 2624-2638, September 2012.

 

Steven C. H. Hoi, Wei Liu, and Shih-Fu Chang, “Semi-supervised distance metric learning for collaborative image retrieval and clustering”, vol. 6, no. 3, article no. 18, August 2010.

 

 

Conference

Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, and Wei Liu, “Learning to Compose Dynamic Tree Structures for Visual Contexts”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral, Best Paper Finalist).

 

Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, and Martial Hebert, “Image Deformation Meta-Networks for One-Shot Learning”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral, Best Paper Finalist).

 

Yunzhe Tao, Qi Sun, Qiang Du, and Wei Liu, "Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling", Advances in Neural Information Processing Systems (NeurIPS) 31, 2018.

 

Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, and Qi Wu, "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning", Advances in Neural Information Processing Systems (NeurIPS) 31, 2018.

 

Hongteng Xu, Wenlin Wang, Wei Liu, and Lawrence Carin, "Distilled Wasserstein Learning for Word Embedding and Topic Modeling", Advances in Neural Information Processing Systems (NeurIPS) 31, 2018.

 

Li Shen, Peng Sun, Yitong Wang, Wei Liu, and Tong Zhang, "An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method", in Proc. International Conference on Machine Learning (ICML), 2018.

 

Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, and Tong Zhang, "Safe Element Screening for Submodular Function Minimization", in Proc. International Conference on Machine Learning (ICML), 2018.

 

Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu, “CosFace: Large Margin Cosine Loss for Deep Face Recognition”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

 

Shixiang Chen, Shiqian Ma, and Wei Liu, "Geometric Descent Method for Convex Composite Minimization", Advances in Neural Information Processing Systems (NeurIPS) 30, 2017.

 

Li Shen, Wei Liu, GanZhao Yuan, and Shiqian Ma, "GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization", in Proc. International Conference on Machine Learning (ICML), 2017. 

 

Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, and Wei Liu, “Real-Time Neural Style Transfer for Videos”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

 

Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, and Tat-Seng Chua, "Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention", in Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017 (Full Oral).

 

Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, and Heng Tao Shen, "Classification by Retrieval: Binarizing Data and Classifiers", in Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017 (Full Oral, Best Paper Award Honorable Mention).

 

Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, and Tat-Seng Chua, "Discrete Collaborative Filtering", in Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 (Full Oral, Best Paper Award Honorable Mention).

 

Wei Liu et al., "Discrete Graph Hashing", Advances in Neural Information Processing Systems (NeurIPS) 27, 2014 (Spotlight Oral).

 

Wei Liu et al., "Unsupervised One-Class Learning for Automatic Outlier Removal", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (Oral).

 

Wei Liu et al., "Compact Hyperplane Hashing with Bilinear Functions", in Proc. International Conference on Machine Learning (ICML), 2012.

 

Wei Liu et al., "Supervised Hashing with Kernels", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (Oral).

 

Wei Liu et al., "Hashing with Graphs", in Proc. International Conference on Machine Learning (ICML), 2011.

 

Wei Liu et al., "Noise Resistant Graph Ranking for Improved Web Image Search", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

 

Wei Liu et al., "Large Graph Construction for Scalable Semi-Supervised Learning", in Proc. International Conference on Machine Learning (ICML), 2010.

 

Wei Liu et al., "Semi-Supervised Sparse Metric Learning Using Alternating Linearization Optimization", in Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2010 (Full Oral).

 

Wei Liu and Shih-Fu Chang, "Robust Multi-Class Transductive Learning with Graphs", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

 

Wei Liu et al., “Output Regularized Metric Learning with Side Information”, in Proc. European Conference on Computer Vision (ECCV), 2008.

 

Wei Liu et al., “Spatio-temporal Embedding for Statistical Face Recognition from Video”, in Proc. European Conference on Computer Vision (ECCV), 2006.

 

Wei Liu et al., “Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005 (Oral).