Quan Li

I am a tenure-track assistant professor at School of Information Science and Technology, ShanghaiTech University.

I received my Ph.D. at the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), where my supervisors are Prof. Xiaojuan Ma and Prof. Huamin Qu. Before joining HKUST, I was a senior researcher at NetEase Games, a leading Chinese game operator. I obtained my master's degree from Tsinghua University, supervised by Prof. Li Chen, and bachelor's degree from Wuhan University. I have another bachelor's degree in English Literature at School of Foreign Language, Huazhong University of Science and Technology. Before joining ShanghaiTech, I was a senior research scientist at WeBank AI Group.

We welcome undergraduate/graduate students, post-docs, research assistants, and visiting interns/scholars. Please send me your CV if your are interested in these topics or have any question.


My research focuses on the areas of Big Data Visualization and Visual Analytics, Data Science, Interpretable Artificial Intelligence (XAI), Data Storytelling, Human-Computer Interaction, and Computational Social Science. I develop advanced interaction and visual analytics techniques that promote the interplay between humans, machines, and data, aiming to boost the efficiency of real-world data analytical activities that involve a large amount of data, various complicated models, and a diverse group of users with different backgrounds. I contribute to the design, development, and evaluation of visualizations that support the general data science workflow: from Interactive Data Exploration, then to Model Development and Interpretation, and finally to Insight Communication and Storytelling.

Courses TOP

Publications JOURNAL     BOOK     CONFERENCE    TOP          Click here to show/hide

Li, Q., Wei, X., Lin, H., Liu, Y., Chen, T., and Ma, X. (2021). Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 2021, PP. DOI (identifier) 10.1109/TVCG.2021.3074010.
Huang, R., Li, Q., Chen, L., and Yuan, X. (2021). A Probability Density-based Visual Analytics Approach to Forecast Bias Calibration. IEEE Transactions on Visualization and Computer Graphics, 2021, PP. doi: 10.1109/TVCG.2020.3025072.
Zhang, M., Chen, L., Li, Q., Yuan, X. and Yong, J. (2021). Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading. IEEE Transactions on Visualization and Computer Graphics, 2021.
Sun, Z., Reani, M., Li, Q., and Ma, X. (2020). Fostering Engagement in Technology-Mediated Stress Management: A Comparative Study of Biofeedback Designs. International Journal of Human-Computer Studies (IJHCS). 102430.
Zeng, H., Wang, X., Wu, A., Wang, Y., Li, Q., Endert, A., Qu, H. (2019). EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos. IEEE Transactions on Visualization and Computer Graphics, 2019.
Li, W., Wang, Funk M., Li, Q., Brombacher, A. (2019). Visualizing Event Sequence Game Data to Understand Player's Skill Growth Through Behavior Complexity. Proceedings of Journal of Visualization (2019)..
Li, Q., Yi, L., Njotoprawiro, K.S., Qu, H., and Ma, X. (2018). WeSeer: Visual Analysis for Better Information Cascade Prediction of WeChat Articles. IEEE Transactions on Visualization and Computer Graphics (TVCG).
Li, Q., Xu, P., Chan, Y. Y., Wang, Y., Wang, Z., Qu, H., and Ma, X. (2017). A Visual Analytics Approach for Understanding Reasons behind Snowballing and Comeback in MOBA Games. IEEE Transactions on Visualization and Computer Graphics (TVCG).
Book or Book Chapter
Li, Q., Wu, Z., Qu, H., and Ma, X. (2019). Co-design of an Interactive Analytics System for Multiplayer Online Battle Arena Game Occurrences. Wallner, G. (Ed.) Data Analytics Applications in Gaming and Entertainment. (in press, Read more)
Li, Q., Lin, H., Tang, C., Wei, X., Peng, Z., Ma., X., Chen, T. (2021). Exploring the "Double-Edged Sword" Effect of Auto-Insight Recommendation in Exploratory Data Analysis. In ACM IUI 2021 ESIDA Workshop.
Li, Q., Lin, H., Wei, X., Huang, Y., Fan, L., Du, J., Ma., X., Chen, T. (2020). MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon. In Proc. CHI2020.
Li, Q., Liu, Y., Chen L., Yang, X., Peng, Y., Yuan, X., Wijerathne, M.L.L. (2020). SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Design. In Proceedings of EuroVis 2020.
Liu, Q., Li, Q., Tang, C., Lin, H., Peng, Z., Li, Z., Chen, T. (2020). Visual Analysis of Car-hailing Reimbursement Data for Overtime. In Proceedings of EuroVis 2020 poster.
Li, Q., Liu, Q., Tang. C., Li, Z., Wei, S., Peng, X., Zheng, M., Chen, T., Yang, Q. (2020). WarehouseVis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts. In Proceedings of EuroVis 2020.
Liu, Q., Li, Q., Tang, C., Lin, H., Ma, X., and Chen, T. (2020). A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers' Travel Demands. In Proc. IEEE VIS 2020 Short Paper.
Wu, Z., Kim, T., Li, Q., and Ma, X. (2019). Understanding and Modeling User-Perceived Brand Personality from Mobile Application UIs. In Proc. CHI2019.
Li, Q., Wei, X., Liu, Y., Yu, H., Chen, T., Yang, Q. Learning Federated Learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI).
Wei, X, Li, Q., Liu, Y., Chen, T., Yang, Q. Multi-Agent Visualization for Explaining Federated AI. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI).
Li, Q., Njotoprawiro, K.S., Haleem, H., Chen, Q., Yi, C., and Ma, X. (2018). EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection. In Proc. IEEE VAST2018.
Li, Q., Wu, Z., Xu, P., Qu, H., and Ma, X. (2018). A Multi-Phased Co-design of an Interactive Analytics System for MOBA Game Occurrences. In Proc. DIS2018.
Li, Q., Shen, Q., Ming, Y., Xu, P., Wang, Y., Ma., X., and Qu, H. (2017). A Visual Analytics Approach for Understanding Egocentric Intimacy Network Evolution and Impact Propagation in MMORPGs. In Proc. PacificVis2017.
Wang, Y., Chen, Z., Li, Q., Ma, X., Luo, Q., and Qu, H. (2016). Animated narrative visualization for video clickstream data. In Proc. SIGGRAPH ASIA 2016 Symposium on Visualization.
Li, Q., Xu, P., Qu, H. (2015). Visual Analysis of Game Frame Rate Data. In IEEE Visual Analytics Science and Technology (VAST), 2015, Chicago, USA, Oct 25-30, 2015..
Li, Q., Qu, H. (2015). Visual Analysis of FPS Gameplay Data: From Game Design to Player Behavior. In 22nd Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2014).
Li, Q., Qu, H. (2014). Visual Analysis of FPS Gameplay Data: From Game Design to Bug Fixes. In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2014), pages 330-334.
Li, Q., Chen, L., Yong, J., Qu, H., Wang, R., Si, D. (2013). Visual Analysis of Retweeting Propagation Network in a Microblogging Platform. In Proceedings of the 6th International Symposium on Visual Information Communication and Interaction (VINCI'13), Pages 44-53.
Li, Q., Chen, L., Liao, H., Yong, J. (2013). PatternTrack: A Visual Pattern Detection Technique for Multidimensional Data. In Proceedings of the 2012 International Conference on Computer Science and Service System (CSSS'12), Pages 1360-1365.
Peng, Y., Chen, L., Li, Q., Zhu, Z., Dong, J., Yong, J. (2013). A Multi-Perspective Visual Retrieval Toolkit for Multi-dimensional Data. In International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI'13), Pages 265-274.
Lin, Z., Li, Q., Chen, L. (2013). An Open Framework for 3D Craniofacial Visualization System. In 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), (Volume: 1 Page(s): 113-117).

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Current members

Recent Talks TOP

Invited Talk, "Promoting the Interplay of Human, Machine, and Data Using Visualizations", Central South University, Changsha, China, Dec 2020
Invited Talk, "Finance Visualization and XAI", ChinaVis2020, Xi'an, China, Nov 2020
Invited Talk, "Visualization: Illuminating the Beauty of Data in the Virtual World", AI Group, WeBank, Shenzhen, Guangdong, China, June 2018
Invited Speaker, "Visualization of Information Diffusion and Prediction in WeChat Platform", Social Influence in Networks, Satellite Symposium of NetSci 2017 Indianapolis, Indiana, USA, June 2017
Invited Speaker, "Visual Analytics on Online Communities", NO.11, TALK8, Tencent Academy Tencent, Shenzhen, Guangdong, China, April 2017
Invited Speaker, the 2nd Alibaba's Open Data Day Seminar, Alibaba, Hangzhou, Zhejiang, China
Instructor, online practical course on data visualization, Data Union, Hangzhou, Zhejiang, China, 2014 - 2015
Invited Speaker, visualization summer seminar, Zhejiang University, Hangzhou, Zhejiang, China, July, 2014

Professional Experiences TOP

I have served as the:

Selected Awards TOP