Hi, I am Ke Xu (徐科)

I am curently a researcher at Huawei. I am leading the DataArts Insight team to build an intelligent, A I-augmented and easy-to-use Business Intelligene (BI) platform in the Huawei Cloud. I was a Postdoctoral Research Associate in the Visualization and Data Analytics Research Center (VIDA) at New York University (NYU), advised by Prof. Enrico Bertini and Prof. Claudio Silva.

My research interests, broadly, are Data Visualization, Human-Computer Interaction, Big Data Analytics and Machine Learning. Specifically, I am interested in domains of visual anomaly detection, explainable AI, automated data insights, temporal data analytics and healthcare.

I earned my Ph.D. in Department of Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST) in 2019, where I worked with my supervisor Prof. Huamin Qu and VisLAB.  Prior to my Ph.D. studies, I received my B.S. in Electronic Science and Engineering from Nanjing University (NJU) in 2015.

Contact:     lukexuke@gmail.com |   Resume |   Google Scholar |   LinkedIn

 

News

Aug 2023 Huawei's first BI product DataArts Insight developed by my team, is now open for public testing
July 2023 Two papers QEVIS & Visail were accpected by IEEE VIS 2023
Mar 2021 CareerLens were accpected by TVCG 2021
Jan 2021 mTSeer were accpected by CHI 2021
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

 


Explainable AI

Towards Ground Truth Explainability on Tabular Data
Brian Barr, Ke Xu, Claudio Silva, Enrico Bertini, Robert Reilly, C. Bayan Bruss, Jason D. Wittenbach
ICML ICML workshop on Human Interpretability in Machine Learning (WHI), 2020.
Download: [pdf]

 

mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast
Ke Xu, Jun Yuan, Yifang Wang, Claudio Silva, Enrico Bertini
CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2021.
Download: [pdf]

 

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, Storytelling

Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning
Yang Shi, Bingchang Chen, Ying Chen, Zhuochen Jin, Ke Xu, Xiaohan Jiao, Tian Gao, Nan Cao
TVCG VIS IEEE Transactions on Visualization and Computer Graphics, 2023.
Download:

 

QEVIS: Multi-grained Visualizing of Distributed Query Execution
Qiaomu Shen, Zhengxin You, Xiao Yan, Chaozu Zhang, Ke Xu, Jianbin Qin, Dan Zeng, Bo Tang
TVCG VIS IEEE Transactions on Visualization and Computer Graphics, 2023.
Download:

 

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: [pdf]

 

Event Sequence Data Analysis

Interactive Visual Exploration of Longitudinal Historical Career Mobility Data
Yifang Wang, Hongye Liang, Xinhuan Shu, Jiachen Wang, Ke Xu, Zikun Deng, Cameron Campbell, Bijia Chen, Yingcai Wu, and Huamin Qu
TVCGIEEE Transactions on Visualization and Computer Graphics, 2021.
Download: [pdf]

 

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


Jan 2020 - Dec 2020 New York University, New York, U.S.
  Visiting Scholar (with Prof. Enrico Bertini and Prof. Claudio Silva), VIDA Lab
May 2019 - Aug 2019 Harvard University, Boston, U.S.
  Research Associate (with  Prof. Hanspeter Pfister),  Visual Computing Group
Jan 2019 - May 2019 Microsoft Research Asia, Beijing, China
  Research Intern,  Software Analytics Group
Jul 2015 - Aug 2019 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

 


Awards


Jan 2021 Huawei "Young Genius" (天才少年) Program
 
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
Jun 2014 Canadian Globalink Research Internship Award
  Mitacs
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

 


Talks


Aug 2023 华为云下一代商业智能能力解析
  Tongji University, Shanghai, China
Jul 2022 DataArts Studio 典型场景应用预览(DataArts Studio: Typical Scenario Application Preview)
  Huawei Partner and Developer Conference (HDPC), Hangzhou, China
May 2021 mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast
  ACM CHI Conference, Yokohama, Japan
Oct 2019 CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
  IEEE VIS Conference, Vancouver, Canada
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

 


Misc

Course

Visualization: Connections with Machine Learning (Spring 2020)