李权
助理教授、研究员
博士毕业院校:中国香港科技大学
电话:(021)20684425
办公室:信息学院1A-404B室
招聘主页:
研究领域
个人简历
代表性论文

    

研究领域

  • 大数据可视化及可视分析、数据科学、可解释性人工智能、数据故事、人机交互,计算社会科学

  


个人简历

李权博士2019年于香港科技大学计算机科学与工程学系获得博士学位。他曾任职于微众银行人工智能部高级研究员,从事人工智能及可视分析、可解释性机器学习以及人机交互技术的研究,并开展相关技术在金融风控、智慧零售、智慧城市、社交网络、在线游戏等领域的广泛应用与落地。读博期间,曾获得港科大工学院PhD Fellowship及 Top RPG (Research Post-Graduate) 荣誉。任中国图象图形学学会可视化与可视分析专委会委员,IEEE VIS Paper程序委员会委员、ChinaVis论文国际程序委员会委员、IEEE VIS, EuroVis, PacificVis, ChinaVis, ACM CHI/CSCW及TVCG等顶级学术会议期刊审稿人。他曾任美国佐治亚理工学院计算机科学与工程学院的访问研究员及网易游戏资深研究员。他的学术成果发表在IEEE VIS, EuroVis, IEEE PacificVis, ACM CHI, CGF, TVCG等可视化及人机交互顶级期刊和会议。

  


代表性论文(通讯作者带*)

1.   Quan Li, Xiguang Wei, Huanbin Lin, Yang Liu, Tianjian Chen, and Xiaojuan Ma. “Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics”, IEEE Transactions on Visualization and Computer Graphics, 2021 (TVCG (CCF-A)), PP. DOI (identifier) 10.1109/TVCG.2021.3074010.

2.   Qiangqiang Liu, Quan Li, Zhihua Zhu, Tangzhi Ye, and Xiaojuan Ma. “Inspecting the Process of Bank Credit Rating via Visual Aanlytics”, in Proceedings of IEEE VIS 2021 (CCF-A).

3.   Renpei Huang, Quan Li, Li Chen, and Xiaoru Yuan. “A Probability Density-based Visual Analytics Approach to Forecast Bias Calibration”, in IEEE Transactions on Visualization and Computer Graphics, 2021 (TVCG (CCF-A)), ISSN: 1077-2626.

4.   Quan Li, Huanbin Lin, Chunfeng Tang, Xiguang Wei, Zhenhui Peng, Xiaojuan Ma, and Tianjian Chen. “Exploring the Double-Edged Sword Effect of Auto-Insight Recommendation in Exploratory Data Analysis”, In Fourth IUI (CCF-B) Workshop on Exploratory Search and Interactive Data Analytics (ESIDA 2021).

5.  Quan Li, Huanbin Lin, Xiguang Wei, Yangkun Huang, Lixin Fan, Jian Du, Xiaojuan Ma, and Tianjian Chen. “MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon”, in Proceedings of ACM CHI 2020 (CCF-A), Honolulu, Hawaii, USA.

6.   Mingdong Zhang, Li Chen, Quan Li, Xiaoru Yuan, and Junhai Yong , “Uncertainty Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading”, IEEE VIS 2020 (CCF-A), 2020.

7.   Zhida Sun, Manuele Reani, Quan Li, and Xiaojuan Ma. “Fostering Engagement in Technology-Mediated Stress Management: A Comparative Study of Biofeedback Designs”, International Journal of Human-Computer Studies (IJHCS) (CCF-A), 2020.

8.   Quan Li, Qiangqiang Liu, Chunfeng Tang, Zhiwei Li, Shuaichao Wei, Xianrui Peng, Minghua Zheng, Tianjian Chen, and Qiang Yang. “WarehouseVis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts”, in Proceedings of EuroVis 2020 (CCF-B), Norrkping, Sweden.

9.    Quan Li, Yingjie Liu, Li Chen, Xingchao Yang, Yi Peng, Xiaoru Yuan, and Maddegedara Lalith Lakshman Wijerathne. “SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Design”, in Proceedings of EuroVis 2020 (CCF-B), Norrkping, Sweden.

10.  Qiangqiang Liu, Quan Li, Chunfeng Tang, Huanbin Lin, Zhenhui Peng, Zhiwei Li, and Tianjian Chen. “Visual Analysis of Car-hailing Reimbursement Data for Overtime”, in Proceedings of EuroVis 2020 (CCF-B), Norrkping, Sweden.

11.  Quan Li, Zhenhui Peng, Haipeng Zeng, Qiaoan Chen, Lingling Yi, Ziming Wu, Xiaojuan Ma, and Tianjian Chen. “Friend Network as Gatekeeper: A Study of WeChat Users’ Consumption of Friend-Curated Contents”, in Proceedings of Chinese CHI 2020, workshop of ACM CHI 2020 (CCF-A), Honolulu, Hawaii, USA.

12.  Qiangqiang Liu, Quan Li, Chunfeng Tang, Huanbin Lin, Xiaojuan Ma, and Tianjian Chen. “A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers’ Travel Demands”, Proceedings of IEEE VIS 2020 (VAST) (CCF-A), short paper track, 25-30 October 2020.

13.  Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, and Huamin Qu. “EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos”, IEEE Transactions on Visualization and Computer Graphics (TVCG (CCF-A)), Vancouver, Canada, Oct 20-25, 2019.

14.  Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, and Qiang Yang. “Multi-Agent Visualization forExplaining Federated Learning”, in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI (CCF-A)), Macau, China, 2019.

15.  Quan Li, Xiguang Wei, Yang Liu, Han Yu, Tianjian Chen, and Qiang Yang. “Learning Federated Learning”, in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI (CCF-A)) Video Track, Macau, China, 2019.

16.  Quan Li, Ziming Wu, Lingling Yi, Kristanto Sean N, Huamin Qu, and Xiaojuan Ma. “WeSeer: Visual Analysis for Better Information Cascade Prediction of WeChat Articles”, in IEEE Transactions on Visualization and Computer Graphics (TVCG (CCF-A)), 10.1109/TVCG.2018.2867776, 2019.

17.  Wei Li, Mathias Funk, Quan Li, and Aarnout Brombacher. “Visualizing Event Sequence Game Data to Understand Player’s Skill Growth Through Behavior Complexity”, in Proceedings of Journal of Visualization, 2019.

18. Ziming Wu, Taewook Kim, Quan Li, and Xiaojuan Ma. “Understanding and Modeling User-Perceived Brand Personality from Mobile Application UIs”, in Proceedings of ACM CHI 2019 (CCF-A).

19.  Quan Li, Kristanto Sean N, Hammad Haleem, Qiaoan Chen, Chris Yi, and Xiaojuan Ma. “EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection”. Proceedings of IEEE VIS 2018 (VAST) (CCF-A), Berlin, Germany, Oct 21-26, 2018.

20.  Quan Li, Ziming Wu, Peng Xu, Huamin Qu, and Xiaojuan Ma. “A Multi-Phased Co-design of an Interactive Analytics System for MOBA Game Occurrences”. Proceedings of The ACM SIGCHI Conference on Designing Interactive System (DIS 2018 (CCF-C)), Hong Kong, June 9 - 13, 2018.

21.  Quan Li, Qiaomu Shen, Yao Ming, Peng Xu, Yun Wang, Xiaojuan Ma, and Huamin Qu. “A Visual Analytics Approach for Understanding Egocentric Intimacy Network Evolution and Impact Propagation in MMORPGs”. Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2017 (CCF-C)), Seoul, South Korea, April 18-21, 2017.

22.  Quan Li, Peng Xu, Yeuk Yin Chan, Yun Wang, Zhipeng Wang, Huamin Qu, and Xiaojuan Ma. “A Visual Analytics Approach for Understanding Reasons behind Snowballing and Comeback in MOBA Games”, in IEEE Transactions on Visualization and Computer Graphics, 2016 (TVCG (CCF-A)), vol.PP, no.99, pp.1-1, doi: 10.1109/TVCG.2016.2598415.

23.  Yun Wang, Zhutian Chen, Quan Li, Xiaojuan Ma, Qiong Luo, Huamin Qu. “Animated Narrative Visualization for Video Clickstream Data”, Proceeding of SIGGRAPH ASIA 2016 Symposium on Visualization, Article No. 11, Macau, December 05 - 08, 2016.

24.  Quan Li, Peng Xu, and Huamin Qu. “FPSSeer: Visual Analysis of Game Frame Rate Data”, Proceedings of IEEE VIS 2015 (VAST (CCF-A)), Chicago, USA, Oct 25-30, 2015.

25.  Quan Li, and Huamin Qu. “Visual Analysis of FPS Gameplay Data: From Game Design to Player Behavior”, the 22nd Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2014 (CCF-B)), Seoul, South Korea, Oct 8-10, 2014.

26.  Quan Li, and Huamin Qu. “Visual Analysis of FPS Gameplay Data: From Game Design to Bug Fixes”. Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2014 (CCF-C)), pages 330-334, Yokohama, Japan, Mar. 4-7, 2014.

27.  Quan Li, Li Chen, Junhai Yong, Huamin Qu, Robert Wang, Detan Si, “Visual Analysis of Retweeting Propagation Network in a Microblogging Platform”, Proceedings of the 6th International Symposium on Visual Information Communication and Interaction (VINCI 2013), Pages 44-53.

28.  Yi Peng, Li Chen, Quan Li, Zhu Zhu, Jie Dong, and Junhai Yong, “MPVR: a multi-perspective visual retrieval toolkit for multi-dimensional data”, Proceedings of the 12th ACMSIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI 2013), Pages 265-274.

29.  Quan Li, Li Chen, Hongsen Liao, Junhai Yong, PatternTrack: “A Visual Pattern Detection Technique for Multidimensional Data”. Proceedings of the 2012 International Conference on Computer Science and Service System (CSSS 2012), Pages 1360-1365.

30.  Zhiwei Lin, Quan Li, Li Chen, “An Open Framework for 3D Craniofacial Visualization System”, Proceedings of the 2011 International Conference on Biomedical Engineering and Informatics (BMEI 2011), (Volume: 1 Page(s): 113-117).