Postdoctoral Fellow

Hi, I'm Kam-Kwai

Visual Analytics Immersive Visualization Cross-Reality Collaboration

I am a Postdoctoral Fellow at HKUST VisLab, where I work with Prof. Huamin Qu. I completed my bachelor’s and Ph.D. in Computer Science and Engineering from HKUST.

I build visual and immersive tools that help people understand complex information and make better decisions together. My work combines data visualization, immersive technology, and human-centered design to make complex and changing situations easier to see, discuss, and act on. I create systems that help people explore data more effectively, communicate ideas more clearly, and make plans with greater confidence.

On the Job Market: I am seeking postdoctoral opportunities starting in Fall 2026 in data visualization, AR/VR, and HCI.

bio-photo.jpg

Research Vision

Steerable Spaces

Important decisions increasingly depend on evidence distributed across people, models, and media. I design spatial interfaces that turn that evidence into shared objects of thought. My long-term vision is steerable spaces: computational environments where understanding is no longer confined to a single analyst or a single device, but distributed across people, representations, and realities. This vision extends a core idea of information visualization: abstract information becomes easier to think with when it is given spatial form. It also draws on distributed cognition, which sees thinking as unfolding through interaction with external representations, tools, and collaborators. I study how shared visual and immersive environments can help collaborators interpret complex situations, coordinate action, and explore futures before they act. The goal is not immersion for its own sake. It is to create a new class of environments guided by three principles:

  • Steerability: Steerable spaces should support meaningful intervention. People should be able to redirect attention, manipulate representations, and guide inquiry rather than merely observe. Good spaces lower the friction of action while preserving a strong sense of control.

  • Intelligibility: Steerable spaces should make structure readable. People should be able to tell what is present, what has changed, how parts relate, and where to go next. Good spaces reveal state, orientation, and logic without demanding expert interpretation.

  • Prospection: Steerable spaces should support future-oriented reasoning to guide present action. People should be able to compare alternatives, project consequences, and prepare together for uncertain outcomes. Good spaces turn delayed or abstract futures into shared objects of discussion, simulation, and decision.

Latest Updates

News

2025-07-19

CultiVerse is accepted to ACM MM, and Havior is accepted to TVCG!

2025-02-04

Three papers have been accepted to ACM CHI 2025!

2023-10-24

I presented Anchorage at IEEE VIS 2023.

2023-10-12

Shared my work on digital humanities with a general audience; check out the presentation.

2023-08-31

We collaborated with a government department to publicly demonstrate Saving Hilly in the “Slope Safety Parent-child Carnival”.

2023-02-12

My first paper on visual video analysis is accepted to the TVCG journal. Many thanks to my collaborators!

2023-01-29

Our latest paper about immersive collaborative visualization is accepted at IEEE VR 2023.

2022-10-19

I presented CohortVA on behalf of Wei Zhang and the team onsite. Check out the presentation.

2022-07-15

Two of my papers about digital humanities and differential privacy have been accepted to VIS 2022.

2022-04-27

Won the Deloitte ESG Innovation Award in HackUST 2022 (Top prize under the ESG theme). Further details.

2021-12-01

Became a Ph.D. candidate. “The more I learn, the more I realize how much I don’t know.”

2021-11-21

Two of my co-authored papers have been published. These works extend my knowledge base to broader horizons.

2021-06-06

Visiting Fudan University FDU-VIS under the supervision of Prof. Siming Chen.

2021-01-09

Visiting Zhejiang University CAD&CG under the supervision of Prof. Wei Chen.

2020-10-30

TaxThemis is shared at VIS 2020 online, check out the presentation.

2020-08-14

My first co-authored paper TaxThemis has been accepted to TVCG VAST. Many thanks to Yating and other collaborators.

2020-02-01

Started my Ph.D. studies at HKUST VisLab under the supervision of Prof. Huamin Qu

Scholarly Thoughts

Research Themes

These themes are the research fronts through which I pursue the research vision: building steerable spaces for distributed cognition.

Publication Archive

Publications

Use the themes and topic filters to browse the archive as one connected research program rather than a set of unrelated projects.

Selected Publications

2026

  1. paper-2026-landsar.png
    PacificVisImmersive Analytics

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

    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

    Introduces a tangible immersive analytics workflow for landslide situational awareness.

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

    paper-2026-landsar-workflow.png
    @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

  1. paper-2025-prismatic.png
    TVCGBusiness Intelligence

    Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks

    Wong Kam-Kwai, Yan Luo, Xuanwu Yue, Wei Chen, and Huamin Qu
    IEEE Transactions on Visualization and Computer Graphics, 2025

    Combines quantitative signals and relational knowledge for interactive concept-stock analysis.

    arXiv DOI

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

    paper-2025-prismatic-workflow.png
    @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}
    }
  2. paper-2024-cultiverse.png
    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

    Uses mixed-initiative LLM analysis to support cross-cultural interpretation of paintings.

    arXiv DOI

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

    paper-2024-cultiverse-workflow.jpg
    @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}
    }
  3. paper-2025-tangiblenet.png
    ACM CHIImmersive Storytelling

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

    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

    Shows how tangible AR interactions support live network storytelling.

    arXiv DOI

    We studied how tangible interactions support 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}
    }
  4. paper-2024-havior.png
    TVCGLLM

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

    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

    Combines LLM-derived news evidence with environmental models for heat-risk analysis.

    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.

    paper-2024-havior-workflow.png
    @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}
    }
  5. paper-2025-dataseum.png
    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
    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}
    }
  6. paper-2025-egoexo.png
    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
    arXiv DOI

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

    paper-2025-egoexo-workflow.png
    @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}
    }
  7. paper-2025-hybrid-interface.png
    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

    Evaluates a hybrid PC+VR interface for visual sensemaking across realities.

    arXiv DOI

    We studied visual sensemaking in augmented virtuality.

    paper-2025-hybrid-interface-workflow.png
    @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}
    }
  8. paper-2024-causalprism.png
    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

    Brings subgroup causal heterogeneity exploration into an interactive visual workflow.

    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}
    }
  9. paper-2025-fundselector.png
    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
    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

  1. paper-2024-scrolltimes.jpg
    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
    arXiv DOI

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

    paper-2024-scrolltimes-case.png
    @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}
    }
  2. paper-2024-tcp-survey.png
    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
    arXiv DOI Website

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

    paper-2024-tcp-survey-idea.png
    @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},
    }
  3. paper-2024-textdetection.png
    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
    arXiv DOI

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

    paper-2024-textdetection-workflow.png
    @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}
    }
  4. paper-2024-fmlens.png
    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

    Supports fund-manager selection through multi-perspective interactive comparison.

    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

  1. paper-2023-anchorage.png
    TVCGBusiness Intelligence

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

    Wong Kam-Kwai, Xingbo Wang, Yong Wang, Jianben He, Rong Zhang, and Huamin Qu
    IEEE Transactions on Visualization and Computer Graphics, 2023

    Turns customer-service video events into anchors for satisfaction analysis.

    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.

    paper-2023-anchorage-workflow.jpg
    @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}
    }
  2. paper-2023-promptmagician.png
    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

    Reuses expert prompting patterns to support text-to-image creation.

    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},
    }
  3. paper-2023-videopro.png
    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
    arXiv DOI

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

    paper-2023-videopro-workflow.png
    @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},
    }
  4. paper-2023-asymcollab.png
    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

    Examines how asymmetric PC-VR setups shape collaborative visual problem solving.

    arXiv DOI Git

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

    paper-2023-asymcollab-demo.png
    @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},
    }
  5. paper-2023-xnli.png
    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
    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},
    }
  6. paper-2023-tax-scheduler.png
    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
    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}
    }
  7. paper-2023-ethereum.png
    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
    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

  1. paper-2022-cohortva.jpg
    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

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

    paper-2022-cohortva-workflow.jpg
    @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},
    }
  2. paper-2022-dpviscreator.png
    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
    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

  1. paper-2021-examples.png
    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

    Helps people understand visualizations through example-driven explanatory descriptions.

    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},
    }
  2. paper-2021-ipoet.png
    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
    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

  1. paper-2020-taxthemis.png
    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

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

    paper-2020-taxthemis-workflow.png
    @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},
    }

Systems and Prototypes

Projects

Selected systems that translate the research agenda into working interfaces, experiences, and deployable tools.

Application

VisPIE

Promote sustainable lifestyle with AR gamification and digital twin

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Application

Saving Hilly

The AR mini game for immersive landslide experience with life-saving messages

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