Yanhong Wu

Research Scientist, Data Analytics

Research Areas: Visual Analytics, Graph Mining, Deep Learning

 

 

Yanhong Wu, Visa Research Scientist.

Biography

Dr. Yanhong Wu is a Research Scientist of Data Analytics Team at Visa Research. Prior joining Visa Research, Yanhong was a Postdoctoral Researcher at IBM T.J. Watson Research Center, responsible for abnormal detection and analysis in financial domain. He also worked at INRIA and Microsoft Research Asia as a visiting scholar focusing on large graph mining and visualization.

Yanhong received his B.Eng. degree from Fudan University and his Ph.D. degree in Computer Science from Hong Kong University of Science and Technology. His research interests include Visual Analytics, Graph Mining, and Deep Learning. He has published several refereed articles at the premier conferences in his research areas such as InfoVis, VAST, and CHI.

Publications

Refereed Publications

1. Xun Zhao, Yanhong Wu, Weiwei Cui, Xinnan Du, Yuan Chen, Yong Wang, Dik Lun Lee, and Huamin Qu. Skylens: Visual analysis of skyline on multi-dimensional data. In IEEE Transactions on Visualization and Computer Graphics (Proceedings of VAST), October 2017.

2. Yanhong Wu, Nan Cao, Daniel Archambault, Qiaomu Shen, Huamin Qu, and Weiwei Cui. Evaluation of graph sampling: A visualization perspective. In IEEE Transactions on Visualization and Computer Graphics (Proceedings of InfoVis), October 2016.

3. Jian Zhao, Michael Glueck, Fanny Chevalier, Yanhong Wu, and Azam Khan. Egocentric analysis of dynamic networks with egolines. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI), April 2016 (Best Paper Honorable Mention).

4. Qiaomu Shen, Tongshuang Wu, Haiyan Yang, Yanhong Wu, Huamin Qu, and Weiwei Cui. Nameclarifier: A visual analytics system for author name disambiguation. In IEEE Transactions on Visualization and Computer Graphics (Proceedings of VAST), October 2016.

5. Yanhong Wu, Naveen Pitipornvivat, Jian Zhao, Sixiao Yang, Guowei Huang, and Huamin Qu. egoslider: Visual analysis of egocentric network evolution. In IEEE Transactions on Visualization and Computer Graphics (Proceedings of VAST), October 2015.

6. Yanhong Wu, Wenbin Wu, Sixiao Yang, Youliang Yan, and Huamin Qu. Interactive visual summary of major communities in a large network. In IEEE Pacific Visualization Symposium (PacificVis), April 2015.

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