Hi, I'm Kam-Kwai

2026

2. 

   PacificVisImmersive Analytics

   LandSAR: Visceralizing Landslide Data for Enhanced Situational Awareness in Immersive AnalyticsSelected

   Wong Kam-Kwai, Yi-Lin Ye, Wai Tong, Haobo Li, Kentaro Takahira, Aastha Bhatta, Sunil Poudyal, Charles Wang Wai Ng, Huamin Qu, and Leni Yang

   IEEE Transactions on Visualization and Computer Graphics, to appear, 2026

   Idea Bib

   We developed an immersive analytics system that integrates real-time landslide simulations and 3D-printed terrain models to enhance situational awareness for landslide analysis.

   

   @article{wong2026landsar,
     author = {Kam-Kwai, Wong and Ye, Yi-Lin and Tong, Wai and Li, Haobo and Takahira, Kentaro and Bhatta, Aastha and Poudyal, Sunil and Ng, Charles Wang Wai and Qu, Huamin and Yang, Leni},
     title = {LandSAR: Visceralizing Landslide Data for Enhanced Situational Awareness in Immersive Analytics},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2026},
     note = {to appear}
   }

2025

2. 

   TVCGBusiness Intelligence

   Prismatic: Interactive Multi-View Cluster Analysis of Concept StocksSelected

   Wong Kam-Kwai, Yan Luo, Xuanwu Yue, Wei Chen, and Huamin Qu

   IEEE Transactions on Visualization and Computer Graphics, 2025

   Idea Bib arXiv DOI

   We used both fundamental and quantitative investing strategies to cluster companies into concept stocks.

   

   @article{wong2025prismatic,
     author = {Kam-Kwai, Wong and Luo, Yan and Yue, Xuanwu and Chen, Wei and Qu, Huamin},
     title = {{Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2025},
     pages = {1-14},
     doi = {10.1109/TVCG.2025.3567084}
   }

4. 

   TVCGLLM

   Save It for the “Hot” Day: An LLM-Empowered Visual Analytics System for Heat Risk ManagementSelected

   Haobo Li, Wong Kam-Kwai, Yan Luo, Juntong Chen, Chengzhong Liu, Yaxuan Zhang, Alexis Kai Hon Lau, Huamin Qu, and Dongyu Liu

   IEEE Transactions on Visualization and Computer Graphics, 2025

   Idea Bib arXiv DOI

   We developed a novel LLM-empowered pipeline to support human-in-the-loop news retrieval and heterogeneous data alignment in managing extreme heat risks.

   

   @article{li2025havior,
     author = {Li, Haobo and Kam-Kwai, Wong and Luo, Yan and Chen, Juntong and Liu, Chengzhong and Zhang, Yaxuan and Lau, Alexis Kai Hon and Qu, Huamin and Liu, Dongyu},
     title = {{Save It for the ``Hot'' Day: An LLM-Empowered Visual Analytics System for Heat Risk Management}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2025},
     pages = {1-16},
     doi = {10.1109/TVCG.2025.3586689}
   }

6. 

   ACM CHIImmersive Storytelling

   TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented RealitySelected

   Kentaro Takahira, Wong Kam-Kwai, Leni Yang, Xian Xu, Takanori Fujiwara, and Huamin Qu

   In Proceedings of the CHI Conference on Human Factors in Computing Systems, 2025

   Idea Bib arXiv DOI

   We studied how tangible interactions supports synchronous data storytelling.

   @inproceedings{kentaro2025tangiblenet,
     author = {Takahira, Kentaro and Kam-Kwai, Wong and Yang, Leni and Xu, Xian and Fujiwara, Takanori and Qu, Huamin},
     title = {TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented Reality},
     year = {2025},
     isbn = {9798400713941},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3706598.3714265},
     doi = {10.1145/3706598.3714265},
     booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
     articleno = {233},
     numpages = {18},
     keywords = {data-driven storytelling, tangible interaction, augmented reality, network visualization},
     series = {CHI '25}
   }

8. 

   ACM MMDigital Humanities

   CultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language Model

   Wei Zhang, Wong Kam-Kwai, Biying Xu, Yiwen Ren, Yuhuai Li, Yingchaojie Feng, Minfeng Zhu, and Wei Chen

   In Proceedings of the ACM International Conference on Multimedia, 2025

   Idea Bib arXiv DOI

   We used ChatGPT as a cross-cultural communication tool for understanding symbols in paintings.

   

   @inproceedings{zhang2025cultiverse,
     author = {Zhang, Wei and Kam-Kwai, Wong and Xu, Biying and Ren, Yiwen and Li, Yuhuai and Feng, Yingchaojie and Zhu, Minfeng and Chen, Wei},
     title = {{CultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language Model}},
     booktitle = {Proceedings of the ACM International Conference on Multimedia},
     year = {2025},
     isbn = {9798400720352},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3746027.3755698},
     doi = {10.1145/3746027.3755698},
     pages = {6710-6719},
     numpages = {10},
     keywords = {cross-cultural understanding, human-ai collaboration, large language models, traditional chinese paintings, visual analytics},
     location = {Dublin, Ireland},
     series = {MM '25}
   }

10. 

    ACM CHIImmersive Storytelling

    Data Bias Recognition in Museum Settings: Framework Development and Contributing Factors

    Stella Quinto Lima, Gabriela Buraglia, Wong Kam-Kwai, and Jessica Roberts

    In Proceedings of the CHI Conference on Human Factors in Computing Systems, 2025

    Idea Bib DOI

    We studied data biases in AR-empowered data exhibition and proposed a critical thinking framework.

    @inproceedings{lima2025dataseum,
      author = {Quinto Lima, Stella and Buraglia, Gabriela and Kam-Kwai, Wong and Roberts, Jessica},
      title = {Data Bias Recognition in Museum Settings: Framework Development and Contributing Factors},
      year = {2025},
      isbn = {9798400713941},
      publisher = {Association for Computing Machinery},
      address = {New York, NY, USA},
      url = {https://doi.org/10.1145/3706598.3714092},
      doi = {10.1145/3706598.3714092},
      booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
      articleno = {229},
      numpages = {15},
      keywords = {Prior Knowledge, Human-Data Interaction, Augmented Reality, Critical Thinking, Informal Learning, Human-Centered Computing},
      series = {CHI '25}
    }

12. 

    ACM CHIImmersive Storytelling

    Ego vs. Exo and Active vs. Passive: Investigating the Individual and Combined Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive Storytelling

    Tao Lu, Qian Zhu, Tiffany Ma, Wong Kam-Kwai, Anlan Xie, Alex Endert, and Yalong Yang

    In Proceedings of the CHI Conference on Human Factors in Computing Systems, 2025

    Idea Bib arXiv DOI

    We studied the combined effect of viewpoints and navigation interactions in immersive storytelling.

    

    @inproceedings{lu2025viewpoint,
      author = {Lu, Tao and Zhu, Qian and Ma, Tiffany and Kam-Kwai, Wong and Xie, Anlan and Endert, Alex and Yang, Yalong},
      title = {Ego vs. Exo and Active vs. Passive: Investigating the Individual and Combined Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive Storytelling},
      year = {2025},
      isbn = {9798400713941},
      publisher = {Association for Computing Machinery},
      address = {New York, NY, USA},
      url = {https://doi.org/10.1145/3706598.3713849},
      doi = {10.1145/3706598.3713849},
      booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
      articleno = {976},
      numpages = {19},
      keywords = {Immersive storytelling, Story navigation, Story viewpoint in immersive environments},
      series = {CHI '25}
    }

14. 

    TVCGCross Reality

    Exploring Spatial Hybrid User Interface for Visual Sensemaking

    Wai Tong, Haobo Li, Meng Xia, Wong Kam-Kwai, Ting-Chuen Pong, Huamin Qu, and Yalong Yang

    IEEE Transactions on Visualization and Computer Graphics, 2025

    Idea Bib arXiv DOI

    We studied visual sensemaking in augmented virtuality.

    

    @inproceedings{tong2025hybrid,
      author = {Tong, Wai and Li, Haobo and Xia, Meng and Kam-Kwai, Wong and Pong, Ting-Chuen and Qu, Huamin and Yang, Yalong},
      title = {{Exploring Spatial Hybrid User Interface for Visual Sensemaking}},
      journal = {IEEE Transactions on Visualization and Computer Graphics},
      pages = {1-16},
      year = {2025},
      doi = {10.1109/TVCG.2025.3538771}
    }

16. 

    C&GInformation Visualization

    CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration

    Xingyu Liu, Jiehui Zhou, Xumeng Wang, Wong Kam-Kwai, Wei Zhang, Xingyu Liu, Juntian Zhang, Minfeng Zhu, and Wei Chen

    Computers & Graphics, 2025

    Idea Bib arXiv DOI

    We developed a subgroup-based workflow to estimate heterogeneous treatment effects.

    @article{zhou2025causalprism,
      author = {Liu, Xingyu and Zhou, Jiehui and Wang, Xumeng and Kam-Kwai, Wong and Zhang, Wei and Liu, Xingyu and Zhang, Juntian and Zhu, Minfeng and Chen, Wei},
      title = {{CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration}},
      journal = {Computers \& Graphics},
      volume = {131},
      pages = {104356},
      year = {2025},
      issn = {0097-8493},
      doi = {10.1016/j.cag.2025.104356}
    }

18. 

    VIBusiness Intelligence

    FundSelector: A visual analysis system for mutual fund selection

    Fan Yan, Yong Wang, Xuanwu Yue, Wong Kam-Kwai, Ketian Mao, Rong Zhang, Huamin Qu, Haiyang Zhu, Minfeng Zhu, and Wei Chen

    Visual Informatics, 2025

    Idea Bib DOI

    We explored ranking-based visual comparison for mutual fund selection.

    @article{yan2025fundselector,
      title = {FundSelector: A visual analysis system for mutual fund selection},
      journal = {Visual Informatics},
      volume = {9},
      number = {4},
      pages = {100258},
      year = {2025},
      issn = {2468-502X},
      doi = {https://doi.org/10.1016/j.visinf.2025.100258},
      author = {Yan, Fan and Wang, Yong and Yue, Xuanwu and Kam-Kwai, Wong and Mao, Ketian and Zhang, Rong and Qu, Huamin and Zhu, Haiyang and Zhu, Minfeng and Chen, Wei}
    }

2024

2. 

   PacificVisDigital Humanities

   ScrollTimes: Tracing the Provenance of Paintings as a Window into History

   Wei Zhang, Wong Kam-Kwai, Yitian Chen, Ailing Jia, Luwei Wang, Jian-Wei Zhang, Lechao Cheng, Huamin Qu, and Wei Chen

   IEEE Transactions on Visualization and Computer Graphics, 2024

   Idea Bib arXiv DOI

   We build biographies for Chinese handscrolls to explore their historical presence and use them as historical narratives.

   

   @article{zhang2024scrolltimes,
     author = {Zhang, Wei and Kam-Kwai, Wong and Chen, Yitian and Jia, Ailing and Wang, Luwei and Zhang, Jian-Wei and Cheng, Lechao and Qu, Huamin and Chen, Wei},
     title = {ScrollTimes: Tracing the Provenance of Paintings as a Window into History},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2023},
     volume = {30},
     number = {6},
     pages = {2981-2994},
     doi = {10.1109/TVCG.2024.3388523}
   }

4. 

   JCSTDigital Humanities

   Computational Approaches for Traditional Chinese Painting: From the “Six Principles of Painting” Perspective

   Wei Zhang, Jianwei Zhang, Wong Kam-Kwai, Yifang Wang, Yingchaojie Feng, Luwei Wang, and Wei Chen

   Journal of Computer Science and Technology, 2024

   Idea Bib arXiv DOI Website

   We modernized a 1500-year-old artistic theory to evaluate the current use of computer technologies on Traditional Chinese Painting, and showed what has been undervalued.

   

   @article{zhang2024tcp,
     author = {Zhang, Wei and Zhang, Jianwei and Kam-Kwai, Wong and Wang, Yifang and Feng, Yingchaojie and Wang, Luwei and Chen, Wei},
     title = {{Computational Approaches for Traditional Chinese Painting: From the ``Six Principles of Painting'' Perspective}},
     journal = {Journal of Computer Science and Technology},
     year = {2024},
     doi = {10.1007/s11390-024-3408-x},
   }

6. 

   Info VisLLM

   Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection

   Luoxuan Weng, Shi Liu, Hang Zhu, Jiashun Sun, Wong Kam-Kwai, Dongming Han, Minfeng Zhu, and Wei Chen

   Information Visualization, 2024

   Idea Bib arXiv DOI

   We summarized features that tell human-written and AI-generated text apart.

   

   @article{weng2024artificialtextdetection,
     author = {Weng, Luoxuan and Liu, Shi and Zhu, Hang and Sun, Jiashun and Kam-Kwai, Wong and Han, Dongming and Zhu, Minfeng and Chen, Wei},
     title = {{Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection}},
     journal = {Information Visualization},
     year = {2024},
     doi = {10.1177/14738716241240156}
   }

8. 

   TVCGBusiness Intelligence

   FMLens: Towards Better Scaffolding the Process of Fund Manager Selection in Fund Investments

   Longfei Chen, Chen Cheng, He Wang, Xiyuan Wang, Yun Tian, Xuanwu Yue, Wong Kam-Kwai, Haipeng Zhang, Suting Hong, and Quan Li

   IEEE Transactions on Visualization and Computer Graphics, 2024

   Idea Bib DOI

   We analyzed investment fund performance through the lens of fund managers.

   @article{chen2024fmlens,
     author = {Chen, Longfei and Cheng, Chen and Wang, He and Wang, Xiyuan and Tian, Yun and Yue, Xuanwu and Kam-Kwai, Wong and Zhang, Haipeng and Hong, Suting and Li, Quan},
     title = {{FMLens: Towards Better Scaffolding the Process of Fund Manager Selection in Fund Investments}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2024},
     pages = {1-17},
     doi = {10.1109/TVCG.2024.3394745}
   }

2023

2. 

   TVCGBusiness Intelligence

   Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor EventsSelected

   Wong Kam-Kwai, Xingbo Wang, Yong Wang, Jianben He, Rong Zhang, and Huamin Qu

   IEEE Transactions on Visualization and Computer Graphics, 2023

   Idea Bib arXiv DOI

   We used customer service protocols and service logs to define events in videos. The effectiveness of this event-based analysis was evaluated with a solid between-subject experiment with 24 domain experts.

   

   @article{wong2023anchorage,
     author = {Kam-Kwai, Wong and Wang, Xingbo and Wang, Yong and He, Jianben and Zhang, Rong and Qu, Huamin},
     title = {{Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2024},
     volume = {30},
     number = {7},
     pages = {4008-4022},
     doi = {10.1109/TVCG.2023.3245609}
   }

4. 

   IEEE VISLLM

   PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation

   Yingchaojie Feng, Xingbo Wang, Wong Kam-Kwai, Sijia Wang, Yuhong Lu, Minfeng Zhu, Baicheng Wang, and Wei Chen

   IEEE Transactions on Visualization and Computer Graphics, 2023

   Idea Bib arXiv DOI Git

   We interviewed Midjourney experts for design implications in supporting Text-to-Image creation and developed a mining-based prompt engineering technique for novices.

   @article{feng2023promptmagician,
     author = {Feng, Yingchaojie and Wang, Xingbo and Kam-Kwai, Wong and Wang, Sijia and Lu, Yuhong and Zhu, Minfeng and Wang, Baicheng and Chen, Wei},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     title = {{PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation}},
     year = {2024},
     volume = {30},
     number = {1},
     pages = {295-305},
     doi = {10.1109/TVCG.2023.3327168},
   }

6. 

   IEEE VISInformation Visualization

   VideoPro: A Visual Analytics Approach for Interactive Video Programming

   Jianben He, Xingbo Wang, Wong Kam-Kwai, Xijie Huang, Changjian Chen, Zixin Chen, Fengjie Wang, Min Zhu, and Huamin Qu

   IEEE Transactions on Visualization and Computer Graphics, 2023

   Idea Bib arXiv DOI

   We reduced human effort in labeling video data and model steering with flexible, scalable video data programming.

   

   @article{he2023videopro,
     author = {He, Jianben and Wang, Xingbo and Kam-Kwai, Wong and Huang, Xijie and Chen, Changjian and Chen, Zixin and Wang, Fengjie and Zhu, Min and Qu, Huamin},
     title = {{VideoPro: A Visual Analytics Approach for Interactive Video Programming}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2024},
     volume = {30},
     number = {1},
     pages = {87-97},
     doi = {10.1109/TVCG.2023.3326586},
   }

8. 

   IEEE VRCross Reality

   Towards an Understanding of Distributed Asymmetric Collaborative Visualization on Problem-solving

   Wai Tong, Meng Xia, Wong Kam-Kwai, Doug A Bowman, Ting-Chuen Pong, Huamin Qu, and Yalong Yang

   In IEEE Conference Virtual Reality and 3D User Interfaces (VR), 2023

   Idea Bib arXiv DOI Git

   We studied the users’ collaborative experience in problem solving where a PC user pairs with a VR user.

   

   @inproceedings{tong2023asymcollab,
     author = {Tong, Wai and Xia, Meng and Kam-Kwai, Wong and Bowman, Doug A and Pong, Ting-Chuen and Qu, Huamin and Yang, Yalong},
     title = {{Towards an Understanding of Distributed Asymmetric Collaborative Visualization on Problem-solving}},
     booktitle = {IEEE Conference Virtual Reality and 3D User Interfaces (VR)},
     year = {2023},
     pages = {387-397},
     doi = {10.1109/VR55154.2023.00054},
   }

10. 

    TVCGLLM

    XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis

    Yingchaojie Feng, Xingbo Wang, Bo Pan, Wong Kam-Kwai, Yi Ren, Shi Liu, Zihan Yan, Yuxin Ma, Huamin Qu, and Wei Chen

    IEEE Transactions on Visualization and Computer Graphics, 2023

    Idea Bib arXiv DOI

    We provided explanations for natural language interfaces to help users locate the problems and further revise the queries.

    @article{feng2023xnli,
      author = {Feng, Yingchaojie and Wang, Xingbo and Pan, Bo and Kam-Kwai, Wong and Ren, Yi and Liu, Shi and Yan, Zihan and Ma, Yuxin and Qu, Huamin and Chen, Wei},
      title = {{XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis}},
      journal = {IEEE Transactions on Visualization and Computer Graphics},
      year = {2023},
      pages = {1-14},
      doi = {10.1109/TVCG.2023.3240003},
    }

12. 

    VIBusiness Intelligence

    Tax-Scheduler: An Interactive Visualization System for Staff Shifting and Scheduling at Tax Authorities

    Linping Yuan, Boyu Li, Siqi Li, Wong Kam-Kwai, Rong Zhang, and Huamin Qu

    Visual Informatics, 2023

    Idea Bib DOI

    We developed a visual analytics system for predicting client inflows and scheduling services to maximize productivity.

    @article{yuan2023taxscheduler,
      title = {{Tax-Scheduler: An Interactive Visualization System for Staff Shifting and Scheduling at Tax Authorities}},
      author = {Yuan, Linping and Li, Boyu and Li, Siqi and Kam-Kwai, Wong and Zhang, Rong and Qu, Huamin},
      year = {2023},
      month = jun,
      journal = {Visual Informatics},
      volume = {7},
      number = {2},
      pages = {30--40},
      issn = {2468-502X},
      doi = {10.1016/j.visinf.2023.02.001}
    }

14. 

    ChinaVisBusiness Intelligence

    Visual Analytics for Security Threats Detection in Ethereum Consensus Layer

    Xuan Chen, Xincan Zhang, Zhaohan Wang, Kerun Yu, Wong Kam-Kwai, Haoyun Guo, and Siming Chen

    Journal of Visualization, 2023

    Idea Bib DOI

    We introduced the first visual analytics solution for security threat awareness on the Ethereum consensus layer.

    @article{chen2024ethereum,
      author = {Chen, Xuan and Zhang, Xincan and Wang, Zhaohan and Yu, Kerun and Kam-Kwai, Wong and Guo, Haoyun and Chen, Siming},
      title = {{Visual Analytics for Security Threats Detection in Ethereum Consensus Layer}},
      journal = {Journal of Visualization},
      year = {2024},
      month = mar,
      doi = {10.1007/s12650-024-00969-z}
    }

2022

2. 

   IEEE VISDigital Humanities

   CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data

   Wei Zhang, Wong Kam-Kwai, Xumeng Wang, Youcheng Gong, Rongchen Zhu, Kai Liu, Zihan Yan, Siwei Tan, Huamin Qu, Siming Chen, and Wei Chen

   IEEE Transactions on Visualization and Computer Graphics, 2022

   Idea Bib arXiv DOI Presentation

   We built knowledge graphs from large-scale databases to study historical figures in cohorts, across space and time.

   

   @article{zhang2023cohortva,
     author = {Zhang, Wei and Kam-Kwai, Wong and Wang, Xumeng and Gong, Youcheng and Zhu, Rongchen and Liu, Kai and Yan, Zihan and Tan, Siwei and Qu, Huamin and Chen, Siming and Chen, Wei},
     title = {{CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2023},
     volume = {29},
     number = {1},
     pages = {756-766},
     doi = {10.1109/TVCG.2022.3209483},
   }

4. 

   IEEE VISInformation Visualization

   DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy

   Jiehui Zhou, Xumeng Wang, Wong Kam-Kwai, Huanliang Wang, Zhongwei Wang, Xiaoyu Yang, Xiaoran Yan, Haozhe Feng, Huamin Qu, Haochao Ying, and Wei Chen

   IEEE Transactions on Visualization and Computer Graphics, 2022

   Idea Bib arXiv DOI

   We generated privacy-protected charts while maintaining user-preferred patterns.

   @article{zhou2023dpviscreator,
     author = {Zhou, Jiehui and Wang, Xumeng and Kam-Kwai, Wong and Wang, Huanliang and Wang, Zhongwei and Yang, Xiaoyu and Yan, Xiaoran and Feng, Haozhe and Qu, Huamin and Ying, Haochao and Chen, Wei},
     title = {{DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2023},
     volume = {29},
     number = {1},
     pages = {809-819},
     doi = {10.1109/TVCG.2022.3209391},
   }

2021

2. 

   TVCGInformation Visualization

   Explaining with Examples Lessons Learned from Crowdsourced Introductory Description of Information Visualizations

   Leni Yang, Cindy Xiong, Wong Kam-Kwai, Aoyu Wu, and Huamin Qu

   IEEE Transactions on Visualization and Computer Graphics, 2021

   Idea Bib arXiv DOI

   We identified different strategies and best practices for describing data visualizations.

   @article{yang2023explaining,
     author = {Yang, Leni and Xiong, Cindy and Kam-Kwai, Wong and Wu, Aoyu and Qu, Huamin},
     title = {{Explaining with Examples Lessons Learned from Crowdsourced Introductory Description of Information Visualizations}},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2023},
     volume = {29},
     number = {3},
     pages = {1638-1650},
     doi = {10.1109/TVCG.2021.3128157},
   }

4. 

   ChinaVisDigital Humanities

   iPoet: Interactive Painting Poetry Creation with Visual Multimodal Analysis

   Yingchaojie Feng, Jiazhou Chen, Keyu Huang, Wong Kam-Kwai, Hui Ye, Wei Zhang, Rongchen Zhu, Xiaonan Luo, and Wei Chen

   Journal of Visualization, 2021

   Idea Bib arXiv DOI

   We enabled ordinary users to compose customized painting poetry for ancient Chinese paintings.

   @article{feng2022ipoet,
     title = {{iPoet: Interactive Painting Poetry Creation with Visual Multimodal Analysis}},
     author = {Feng, Yingchaojie and Chen, Jiazhou and Huang, Keyu and Kam-Kwai, Wong and Ye, Hui and Zhang, Wei and Zhu, Rongchen and Luo, Xiaonan and Chen, Wei},
     journal = {Journal of Visualization},
     year = {2022},
     month = jun,
     volume = {25},
     number = {3},
     pages = {671-685},
     doi = {10.1007/s12650-021-00780-0},
   }

2020

2. 

   IEEE VISBusiness Intelligence

   TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups

   Yating Lin*, Wong Kam-Kwai*, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, and Qinghua Zheng

   IEEE Transactions on Visualization and Computer Graphics, 2020

   Idea Bib arXiv DOI Presentation

   We mined suspicious tax evasion groups by analyzing heterogeneous tax-related data.

   

   @article{lin2021taxthemis,
     title = {{TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups}},
     author = {Lin*, Yating and Kam-Kwai*, Wong and Wang, Yong and Zhang, Rong and Dong, Bo and Qu, Huamin and Zheng, Qinghua},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2021},
     volume = {27},
     number = {2},
     pages = {849-859},
     doi = {10.1109/TVCG.2020.3030370},
   }