Ph.D. Associate Professor

National Key Laboratory for Novel Software Technology

National Institute of Healthcare Data Science

Department of Computer Science and Technology

Reasoning and Learning Research Group

Nanjing University

Room 508, No.163, Xianlin Avenue

Nanjing, Jiangsu, China, 210023

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About Me

Hi, I am Yinghuan. I received my B.Sc. and Ph.D. degree both in Computer Science at Nanjing University in 2007 and 2013, respectively. Currently, I am an Associate Professor in the Department of Computer Science and Technology at Nanjing University, and a member of the National Key Laboratory for Novel Software Technology. Also, I am a member of the Reasoning and Learning Research Group, led by Prof. Yang Gao.

In 2011-2012, I visited the IDEA Lab of the University of North Carolina at Chapel Hill (UNC) under the support from the China Scholarship Council (CSC), and worked with Prof. Dinggang Shen. In 2016, I returned to the IDEA Lab for a three months visiting. Also, I spent two months in 2014 as a Visiting Scholar at the Data Science Lab of the University of Technology, Sydney (UTS), working with Prof. Longbing Cao.

Chinese Version (中文简介)


Research Interest

Currently, I am broadly interested in medical image analysis, clinical data mining, and also including the other related topics in image processing, computer vision, and machine learning.

In particular, the main goal of our research is to develop the machine learning-based algorithms for the data analysis problems in medical imaging and clinical data. The difficulties in medical data, e.g., complicated connection, unpredictable noise, limited amount and insufficient labeling, pose the considerable challenges for the data analysis. We wish to develop the effective and efficient methods to tackle these challenges. Also, these methods are used to guide the development of the real systems in the clinical scenario.


Recent Publication


Spring 2020: Discrete Mathematics