Faculty

CHEN Qing

Assistant Professor


Research

Big Data Analytics, Information Visualization, Human Computer Interaction, Online Education, Intelligent Design, AI-powered Healthcare

 

Academic and Social Post

2020 IEEE VIS Program Committee Member

2020 CCF YOCSEF Shanghai Academic AC

2019 IEEE VIS Session Chair

2015-Now ACM CHI, IEEE TVCG, IEEE InfoVis, IEEE VAST, IEEE EuroVis, IEEE PacificVis, ACM TIST, IEEE TLT, ACM IUI Reviewer

2015-2018 ACM-W HKUST Chapter Activity Chair

 

Education Background

2018  Visiting Scholar, Inria Saclay

2013-2018 Ph.D. in Computer Science and Engineering, Hong Kong University of Science and Technology

2011-2012 Exchange Student, School of Interactive Arts and Technology, School of Computer Science, Simon Fraser University

2009-2013 B.Eng in Digital Media Technology, School of Computer Science, Zhejiang University

 

Work Experience

2020-Now  Assistant Professor, Tongji University

2018-2019   Postdoc Researcher, Inria & École Polytechnique

2014-2018 Teaching/Research Assistant, Hong Kong University of Science and Technology

 

Projects

2014-2017 Visual Analysis of Customer Loyalty RGC/GRF16208514

2014-2018 VisMOOC: A Visualization Tool for MOOC F0532-CSE03 2016-2018 An Open Learning Design, Data Analytics and Visualization Framework for E-Learning ITS/306/15FP

2018-2020 An Open Learning Design, Data Analytics and Visualization Framework for E-Learning ITS/388/17FP

2018-2020 Dynamic representation of large volumes of care pathways (collaboration with France government CNAMS)

 

Publications

[1] Guo, S., Jin, Z., Chen, Q., Gotz. D., Zha. H., Cao. N. (2019, December). Visual Anomaly Detection in Event Sequence Data. IEEE BigData 2019.

[2] Fekete, J. D., Chen, Q., Feng, Y., & Renault, J. (2019, October). Practical Use Cases for Progressive Visual Analytics. IEEE VIS DISA 2019.

[3] Chen, Q., Li, Z., Pong, T. C., & Qu, H. (2019, April). Designing Narrative Slideshows for Learning Analytics. In 2019 IEEE Pacific Visualization Symposium (PacificVis) (pp. 237-246). IEEE.

[4] Mu, X., Xu, K., Chen, Q., Du, F., Wang, Y., & Qu, H. (2019). MOOCad: Visual Analysis of Anomalous Learning Activities in Massive Open Online Courses. IEEE EuroVis 2019.

[5] Xia, M., Sun, M., Wei, H., Chen, Q., Wang, Y., Shi, L., ... & Ma, X. (2019, April). PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (p. 634). ACM.

[6] Chen, Q., Yue, X., Plantaz, X., Chen, Y., Shi, C., Pong, T. C., & Qu, H. (2018). ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses. IEEE transactions on visualization and computer graphics.

[7] Chen, Y., Chen, Q., Zhao, M., Boyer, S., Veeramachaneni, K., & Qu, H. (2016, October). DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction. In 2016 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 111-120). IEEE.

[8] Chen, Q., Chen, Y., Liu, D., Shi, C., Wu, Y., & Qu, H. (2015). Peakvizor: Visual analytics of peaks in video clickstreams from massive open online courses. IEEE transactions on visualization and computer graphics, 22(10), 2315-2330.

[9] Qu, H., & Chen, Q. (2015). Visual analytics for MOOC data. IEEE computer graphics and applications, 35(6), 69-75.

[10] Shi, C., Fu, S., Chen, Q., & Qu, H. (2015, April). VisMOOC: Visualizing video clickstream data from massive open online courses. In 2015 IEEE Pacific visualization symposium (PacificVis) (pp. 159-166). IEEE.

[11] Shi, C., Fu, S., Chen, Q., & Qu, H. (2014, October). VisMOOC: Visualizing video clickstream data from massive open online courses. In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 277-278). IEEE.

 

Honors and Awards

2016     Honorable Mention Award, Visualization Contest for Public Welfare on the Cloud by Alibaba

2015     Silver Award, Hong Kong ICT Awards Best Innovation

2015     Merit Award, Asia Pacific ICT Awards

2014     First Prize, Design Thinking CAA-HKUST

2013     Outstanding Thesis Award, Zhejiang University

 

International Exchanges and Activities

2014-2019 IEEE VIS/EuroVis/PacificVis Conference Presentation

2019  Data Science Summer School Project Presentation

2018  Visiting Scholar at Inria Saclay

2018  Invited Speaker for AEARU 2018 Conference

2016  Invited Speaker for HK Metro Radio

2015-2016 HKUST Teaching Assistant Coordinator

2015  Project Presentation for 25 projects for HKUST 25th Anniversary

2015  Project Presentation for HKICT&Asia Pacific ICT Awards

2015  Poster Design for IEEE Transactions for Big Data

2015  M.C. for HKUST One Million Dollar Enterpreneurship Competition

2015  M.C. for Prize Ceremony for the 14th National Challenge Cup

 

Contact

Email: qingchen@tongji.edu.cn


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