Zheng Zhang
Professor of Computer Science, NYU Shanghai; Globa
Computer Science
Shanghai University
China
Biography
Zheng Zhang is Professor of Computer Science, NYU Shanghai; Global Network Professor, NYU. He also holds an affiliated appointment with the Department of Computer Science at the Courant Institute of Mathematical Sciences and with the Center for Data Science at NYU's campus in New York City. Prior to joining NYU Shanghai, he was founder of the System Research Group in Microsoft Research Asia, where he served as principle researcher and research area manager. Before he moved to Beijing, he was project lead and member of technical staff in HP-Labs. He holds a PhD from University of Illinois, Urbana-Champaign, an MS from University of Texas, Dallas, and a BS Fudan University. Zhang’s research interests are theories and practices of large-scale distributed computing and its intersection with machine learning, in particular deep-learning. He has published extensively in top system conferences (OSDI, Eurosys, NSDI, etc.), and is also known for his column “Zheng Zhang on Science,” which is published in Chinese Business. Zhang is a member of the Association for Computing Machinery and founder of the SIGOPS APSYS workshop and the CHINASYS research community. He served regularly as PC members of leading system conferences. During his tenures in industrial labs, he was awarded 40 patents and made numerous contributions to product lines. He has several Best Paper awards as well as awards for excellence from Microsoft and HP-Labs. He is a recipient of 2016 China's national "Thousand Talents Program".
Research Interest
theories and practices of large-scale distributed computing and its intersection with machine learning, in particular deep-learning
Publications
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The application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification. Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng and Zheng Zhang. To appear in CVPR 2015.
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Multiple Granularity Descriptors for Fine-Grained Categorization. Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang. In International Conference on Computer Vision 2015 (ICCV 2015)
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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang. In NIPS Workshop on Machine Learning Systems (LearningSys), 2016
