Ke Xu

My name is Ke Xu 徐科, currently a Ph.D. student in Department of Electrical and Computer Engineering (ECE), Hong Kong University of Science and Technology. My supervisor is Prof. Huamin Qu, professor and PG-coordinator in  Department of Computer Science and Engineering (CSE),  VisLAB@HKUST. 

My research interests, broadly, are Information Visualization and Human-Computer Interaction. Specifically, I am interested in data visualization in domains of anomaly detection and healthcare.

I received my bechalor degree at School of Electronic Science and Engineering,  Nanjing University (NJU).

Contact:   kxuak@connect.ust.hk |  Resume |    

 

News

Jul 2019 CloudDet and DataShot were accpected by IEEE VIS 2019
Apr 2019 MOOCad was accpected by EuroVis 2019
Jul 2018 EnsembleLens was accpected by IEEE VAST 2018
Feb 2018 ECGLens received Best Paper Honorable Mention Award at CHI 2018

 


Anomaly Detection

CloudDet: Interactive Visual Analysis of Anomalous Performances in
Cloud Computing Systems

Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu
TVCG VAST IEEE Transactions on Visualization and Computer Graphics, 2019
Download: [pdf][video]

 

MOOCad: Visual Analysis of Anomalous Learning Activities in
Massive Open Online Courses

Xing Mu, Ke Xu, Qing Chen, Fan Du, Yun Wang, Huamin Qu
EuroVis 21th EG/VGTC Conference on Visualization (Short Paper), 2019
Download: [pdf][video]

 

EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection
Algorithms with Multidimensional Data

Ke Xu, Meng Xia, Xing Mu, Yun Wang, Nan Cao
TVCG VAST IEEE Transactions on Visualization and Computer Graphics, 2018.
Download: [pdf][video]

 

ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia
Detection

Ke Xu, Shunan Guo, Nan Cao, David Gotz, Aiwen Xu, Huamin Qu, Zhenjie Yao, Yixin Chen
CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2018.
Download: [pdf] [video] [video (long)] Best Paper Honorable Mention (top 5% of all submissions)

 

Infographic, Automated Design

DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun, Haidong Zhang, Weiwei Cui, Ke Xu, Xiaojuan Ma, Dongmei Zhang
TVCG InfoVis IEEE Transactions on Visualization and Computer Graphics, 2019.
Download: []

 

Event Sequence Data Analysis

EventThread: Visual Summarization and Stage Analysis of Event Sequence Data
Shunan Guo, Ke Xu, Rongwen Zhao, David Gotz, Hongyuan Zha, Nan Cao
TVCG VAST Proceedings of the IEEE Visual Analytics Science and Technology, 2017.
Download: [pdf]

 


Work Experience


May 2019 - Aug 2019 Harvard University, Boston, USA
  Visiting Scholar (with  Prof. Hanspeter Pfister),  Visual Computing Group
Jan 2019 - May 2019 Microsoft Research Asia, Beijing, China
  Research Intern,  Software Analytics Group
Jul 2015 - Now Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
  Ph.D Candidate,  VisLab
Feb 2017 - Sept 2017 Tongji University, Shanghai, China
  Visiting Scholar (with  Prof. Nan Cao),  iDVx Lab
Dec 2014 – Apr 2015 Nanjing University, Nanjing, China
  Research Assistant, Microelectronics Design Institute
Jun 2014 – Sept 2014 McGill University, Montreal, Canada
  Summer Intern (with  Prof. Kirk), Department of Material Engineering

 


Talks


Oct 2018 EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with Multidimensional Data
  IEEE VIS Conference, Berlin, Germany
Apr 2018 ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia
  ACM CHI Conference, Montreal, Canada

 


Awards


Feb 2018 Best Paper Honorable Mention Award, CHI'18
  ACM CHI Conference
Jun 2015 Excellent Graduate of Nanjing University
  Nanjing University
Oct 2014 First Prize of Red Sun Scholarship
  Nanjing University
Oct 2013 Baosteel Scholarship
  Baosteel Group, Nanjing University,
for 2 of Sophomores in Nanjing University
Oct 2012 National Scholarship
  Ministry of Education of the People’s Republic of China