I am originally from ChaoZhou, China, but, due to some random walk, I now live in Pittsburgh, USA. I received my bachelor degree of software engineering and statistics from Sun Yat-sen University in June 2010. Currently, I am a 4th year PhD student working with Dr. Alexander G. Hauptmann. My principal interests lie in the development of computer vision and multimedia techniques for large scale multimedia analysis and retrieval. Specifically, I hope to build a system that can index video data and make it a structured media. Broadly speaking, I am interested in research that makes computers become intelligent. Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition. Resource Constrained Multimedia Event Detection. Informedia@TRECVID 2013. Double Fusion for Multimedia Event Detection. Joint Segmentation and Classification of Human Action. Extending Semi-supervised Learning methods for Inductive Transfer Learning.
Zhenzhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj
Features for MIFS(L=3) [HMDB51] [Hollywood2] [UCF101] [UCF50] [Olympic Sports] [Features in BaiDu Yun]
Zhenzhong Lan, Yi Yang, Nicolas Ballas, Shoou-I Yu, Alexander Haputmann
The 20th Int. Conf. on Multimdeida Modeling (MMM'14), 2014. [PDF]
Zhenzhong Lan, Lu Jiang, Shoou-I Yu, Chenqiang Gao, Shourabh Rawat, Yang Cai, Shicheng Xu, Haoquan Shen, Xuanchong Li, Yipei Wang, Waito Sze, Yan Yan, Zhigang Ma, Nicolas Ballas, Deyu Meng, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard Stern, Teruko Mitamura, Eric Nyberg, and Alexander Hauptmann.
TRECVID Video Retrieval Evaluation Workshop, NIST, Gaithersburg, MD, November 2013. [PDF]
Zhenzhong Lan,Lei Bao, Shoou-I Yu, Wei Liu, Alexander G. Hauptmann
The 18th Int. Conf. on Multimdeida Modeling (MMM'12), 2012. [PDF]
M.H.Nguyen, Zhenzhong Lan, F. De la.
IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR'11),2011. [PDF]
Yuan Shi, Zhenzhong Lan, Wei Liu, Wei Bi
IEEE Conf. on Data Mining (ICDM'09), 2009. [PDF]
Computer Vision, Machine Learning, Statistical Machine Learning, Probabilistic Graphical Models.
Alexander G. Hauptmann
Fernando De la torre
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition.
Resource Constrained Multimedia Event Detection.
Double Fusion for Multimedia Event Detection.
Joint Segmentation and Classification of Human Action.
Extending Semi-supervised Learning methods for Inductive Transfer Learning.
Last modified NOV. 2011.