Publications
A growing collection of cool visualization research publication.
Contribution Threads
Browse the archive through recurring contribution themes, then open a thread in the full publication index below.
Embodied and Spatial Sensemaking
I design immersive, cross-reality, and tangible interfaces that turn analysis and storytelling into spatial, collaborative experiences.
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LandSAR: Visceralizing Landslide Data for Enhanced Situational Awareness in Immersive Analytics Introduces a tangible immersive analytics workflow for landslide situational awareness.
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TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented Reality Shows how tangible AR interactions support live network storytelling.
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Exploring Spatial Hybrid User Interface for Visual Sensemaking Evaluates a hybrid PC+VR interface for visual sensemaking across realities.
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Towards an Understanding of Distributed Asymmetric Collaborative Visualization on Problem-solving Examines how asymmetric PC-VR setups shape collaborative visual problem solving.
Human-AI Interpretation and Knowledge Interfaces
I study how AI-assisted visual interfaces help people interpret language, culture, and domain knowledge rather than merely automate analysis.
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CultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language Model Uses mixed-initiative LLM analysis to support cross-cultural interpretation of paintings.
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Save It for the “Hot” Day: An LLM-Empowered Visual Analytics System for Heat Risk Management Combines LLM-derived news evidence with environmental models for heat-risk analysis.
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PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation Reuses expert prompting patterns to support text-to-image creation.
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Explaining with Examples Lessons Learned from Crowdsourced Introductory Description of Information Visualizations Helps people understand visualizations through example-driven explanatory descriptions.
Decision Intelligence and Analytical Workflows
I build visual analytics workflows that help experts compare alternatives, reason about uncertainty, and act on heterogeneous evidence.
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Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks Combines quantitative signals and relational knowledge for interactive concept-stock analysis.
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CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration Brings subgroup causal heterogeneity exploration into an interactive visual workflow.
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FMLens: Towards Better Scaffolding the Process of Fund Manager Selection in Fund Investments Supports fund-manager selection through multi-perspective interactive comparison.
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Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events Turns customer-service video events into anchors for satisfaction analysis.
Full Archive
2026
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PacificVisImmersive AnalyticsLandSAR: Visceralizing Landslide Data for Enhanced Situational Awareness in Immersive AnalyticsIntroduces 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.
@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
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TVCGBusiness IntelligencePrismatic: Interactive Multi-View Cluster Analysis of Concept StocksCombines quantitative signals and relational knowledge for interactive concept-stock analysis.
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} } -
TVCGLLMSave It for the “Hot” Day: An LLM-Empowered Visual Analytics System for Heat Risk ManagementCombines LLM-derived news evidence with environmental models for heat-risk analysis.
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} } -
ACM CHIImmersive StorytellingTangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented RealityShows how tangible AR interactions support live network storytelling.
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} } -
ACM MMDigital HumanitiesCultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language ModelUses mixed-initiative LLM analysis to support cross-cultural interpretation of paintings.
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} } -
ACM CHIImmersive StorytellingData Bias Recognition in Museum Settings: Framework Development and Contributing FactorsWe 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} } -
ACM CHIImmersive StorytellingEgo vs. Exo and Active vs. Passive: Investigating the Individual and Combined Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive StorytellingWe 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} } -
TVCGCross RealityExploring Spatial Hybrid User Interface for Visual SensemakingEvaluates a hybrid PC+VR interface for visual sensemaking across realities.
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} } -
C&GInformation VisualizationCausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity ExplorationBrings subgroup causal heterogeneity exploration into an interactive visual workflow.
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} } -
VIBusiness IntelligenceFundSelector: A visual analysis system for mutual fund selectionWe 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
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PacificVisDigital HumanitiesScrollTimes: Tracing the Provenance of Paintings as a Window into HistoryWe 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} } -
JCSTDigital HumanitiesComputational Approaches for Traditional Chinese Painting: From the “Six Principles of Painting” PerspectiveWe 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}, } -
Info VisLLMTowards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text DetectionWe 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} } -
TVCGBusiness IntelligenceFMLens: Towards Better Scaffolding the Process of Fund Manager Selection in Fund InvestmentsSupports fund-manager selection through multi-perspective interactive comparison.
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
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TVCGBusiness IntelligenceAnchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor EventsTurns customer-service video events into anchors for satisfaction analysis.
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} } -
IEEE VISLLMPromptMagician: Interactive Prompt Engineering for Text-to-Image CreationReuses expert prompting patterns to support text-to-image creation.
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}, } -
IEEE VISInformation VisualizationVideoPro: A Visual Analytics Approach for Interactive Video ProgrammingWe 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}, } -
IEEE VRCross RealityTowards an Understanding of Distributed Asymmetric Collaborative Visualization on Problem-solvingExamines how asymmetric PC-VR setups shape collaborative visual problem solving.
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}, } -
TVCGLLMXNLI: Explaining and Diagnosing NLI-based Visual Data AnalysisWe 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}, } -
VIBusiness IntelligenceTax-Scheduler: An Interactive Visualization System for Staff Shifting and Scheduling at Tax AuthoritiesWe 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} } -
ChinaVisBusiness IntelligenceVisual Analytics for Security Threats Detection in Ethereum Consensus LayerWe 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
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IEEE VISDigital HumanitiesCohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical DataWe 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}, } -
IEEE VISInformation VisualizationDPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential PrivacyWe 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
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TVCGInformation VisualizationExplaining with Examples Lessons Learned from Crowdsourced Introductory Description of Information VisualizationsHelps people understand visualizations through example-driven explanatory descriptions.
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}, } -
ChinaVisDigital HumanitiesiPoet: Interactive Painting Poetry Creation with Visual Multimodal AnalysisWe 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
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IEEE VISBusiness IntelligenceTaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion GroupsWe 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}, }