Assistant Professor
Qing CHEN is currently an assistant professor at Tongji University, entitled in the Shanghai Oversea Talent Program. She received her B.Eng degree and PhD degree from Zhejiang University and Hong Kong University of Science and Technology respectively. After graduation, she worked as a postdoc researcher at INRIA and Ecole Polytechnique. Her research interests lie in information visualization, big data visual analytics, human-computer interaction, and their applications in education, healthcare, design, and business intelligence, having published extensively on these subjects. She works as the committee member of various top conferences and the community chair for IEEE VIS 2022-2023. She received several awards including CSIG (China Society of Image and Graphics) Natural Science Award, HongKong ICT Best Innovation Silver Award, Asia Pacific ICT Awards. She is currently the principle investigator of several National Natural Science Funds and a University-Industry Collaborative Education Program Funded by the Ministry of Education.
1. Research
Big Data Analytics, Information Visualization, Human Computer Interaction, Online Education, Intelligent Design, AI-powered Healthcare, Business Intelligence.
2. Academic and Social Post
2022-2023 IEEE VIS Community Chair
2020-2023 IEEE VIS/PacificVis/ChinaVis Program Committee Member
2020-Now 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
3. 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
4. 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
5. Projects
2024-2027 Research on Mixed-Initiative Intelligent Visualization Methods and Techniques, NSF
2023-2026 Information Communication Design for Data Intelligence, NSF Shanghai
2022-2023 University-Industry Collaborative Education Program, The Ministry of Education
2022-2023 Self-service Analytics System Design for Business Intelligence Applications (supported by AntV)
2022-2023 Chen Guang Project, supported by Shanghai Education Development Foundation
2021-2023 Automatic Information Visualization Generation Techniques, NSF
2021-2023 Visual Analytics of Complex Sequence Data, NSF
2021-2023 Visual Analytics of Self-regulated Learning from Online Learning Behavior Data, NSF
2020-2021 AI-based Automatic Visualization Generation (supported by AntV)
2018-2020 Dynamic representation of large volumes of care pathways (collaboration with France government CNAMS)
2018-2020 An Open Learning Design, Data Analytics and Visualization Framework for E-Learning ITS/388/17FP
2016-2018 An Open Learning Design, Data Analytics and Visualization Framework for E-Learning ITS/306/15FP
2014-2018 VisMOOC: A Visualization Tool for MOOC F0532-CSE03
2014-2017 Visual Analysis of Customer Loyalty RGC/GRF16208514
6. Publications
[1] Chen, Q., Chen, N., Shuai, W., Wu, G., Xu, Z., Tong, H., & Cao, N. (2023). Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams. IEEE Transactions on Visualization and Computer Graphics.
[2] Guo, Y., Cao, N.*, Cai, L., Wu, Y., Weiskopf, D., Shi, D. & Chen, Q.*(2023). Datamator: An Authoring Tool for Creating Datamations via Data Query Decomposition. Applied Sciences, 13(17), p.9709.
[3] Guo, Y., Cao, N., Qi X., Li, H., Shi, D., Zhang J., Chen Q., Daniel Weiskopf. (2023). Enhancing Natural Language-Based Data Exploration with Analysis Pipeline Illustration. IEEE VIS.
[4] Chen, Q., Cao, S., Wang, J., & Cao, N. (2023). How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools. IEEE Transactions on Visualization and Computer Graphics.
[5] Li, Y., Qi, Y., Shi, Y., Chen, Q., Cao, N., & Chen, S. (2022). Diverse Interaction Recommendation for Public Users Exploring Multi-view Visualization using Deep Learning. IEEE Transactions on Visualization and Computer Graphics, 29(1), 95-105.
[6] Lan, X., Wu, Y., Shi, Y., Chen, Q., & Cao, N. (2022, April). Negative emotions, positive outcomes? exploring the communication of negativity in serious data stories. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-14).
[7] Chen, Q., Sun, F., Xu, X., Chen, Z., Wang, J., & Cao, N. (2022). Vizlinter: A linter and fixer framework for data visualization. IEEE transactions on visualization and computer graphics, 28(1), 206-216.
[8] Guo, S., Jin, Z., Chen, Q., Gotz, D., Zha, H., & Cao, N. (2021). Interpretable anomaly detection in event sequences via sequence matching and visual comparison. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4531-4545.
[9] Chen, Q., Yue, X., Plantaz, X., Chen, Y., Shi, C., Pong, T. C., & Qu, H. (2020). ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses. IEEE transactions on visualization and computer graphics. 26 (3), 1622-1636.
[10] Qu, H., Shi, C., Fu, S., & Chen, Q. (2020). Method and system for analyzing user activities related to a video. U.S. Patent No. 10,616,626. Washington, DC: U.S. Patent and Trademark Office.
[11] Guo, S., Jin, Z., Chen, Q., Gotz. D., Zha. H., Cao. N. (2019, December). Visual Anomaly Detection in Event Sequence Data. IEEE BigData 2019.
[12] Fekete, J. D., Chen, Q., Feng, Y., & Renault, J. (2019, October). Practical Use Cases for Progressive Visual Analytics. IEEE VIS DISA 2019.
[13] 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.
[15] 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.
[15] 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.
[16] 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.
[17] 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.
[18] Qu, H., & Chen, Q. (2015). Visual analytics for MOOC data. IEEE computer graphics and applications, 35(6), 69-75.
[19] 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.
[20] 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.
7. Honors and Awards
2022 CSIG (China Society of Image and Graphics) Natural Science Award
2022 Tongji University Excellent Online Graduate Course Program
2021 Shanghai Chenguang Talent Program
2020 Shanghai Oversea Talent Program
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
8. International exchanges and activities
2014-Now IEEE VIS/EuroVis/PacificVis/ChinaVis Conference Presentation
2021 CSIG-VIS Young Scholar Forum Invited Presentation
2021 CCF Big Data Conference Invited 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
9. Contact
Email: qingchen@tongji.edu.cn
