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Meng-Wei (Daniel) Chang

Graduate Student — MSc

I am a former graduate student at UOIT under the supervision of Dr. Christopher Collins. My primary research interests are information visualization and computer graphics, with some human-computer interaction thrown in as well.

My master’s thesis dealt with text visualization. We used InfoVis and graphical techniques to visualize physical entities in text documents. Specifically, we looked at helping people understand and analyze a large repository of vehicle complaint reports.

I have a Bachelor’s of Mathematics from the University of Waterloo, where I studied Computer Science, with an option in Software Engineering. I was in the co-op program at UW, with internship experiences spanning a variety of areas including the development of user interfaces, databases and hand-held computing devices. After my undergrad, I spent some time in the financial industry, working with a reference data system that facilitates trades and regulatory functions.

In my spare time, I enjoy fast-paced sports such as badminton and table tennis, or endurance-based activities like bicycling(60+ km) and hiking (15+ km). I also like photography, cooking and occasionally blasting my trumpet.

LinkedIn Page

Publications

  • R. Veras, E. Paluka, M. Chang, V. Tsang, F. Shein, and C. Collins, “Interaction for Reading Comprehension on Mobile Devices,” in Proc. of the 16th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI ’14), 2014, pp. 157-161.

    PDF

    @InProceedings{ver2014c,
    author = {Rafael Veras and Erik Paluka and Meng-Wei Chang and Vivian Tsang and Fraser Shein and Christopher Collins},
    title = {Interaction for Reading Comprehension on Mobile Devices},
    booktitle = {Proc. of the 16th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI ’14)},
    series = {MobileHCI ’14},
    year = {2014},
    isbn = {978-1-4503-3004-6},
    location = {Toronto, ON, Canada},
    pages = {157 — 161},
    numpages = {5},
    doi = {10.1145/2628363.2628387},
    acmid = {2628387},
    publisher = {ACM},
    }

  • M. Chang and C. Collins, “Exploring Entities in Text with Descriptive Non-photorealistic Rendering,” in Proc. of the 2013 IEEE Pacific Visualization Symposium (PACIFICVIS ’13), 2013.

    PDF

    @InProceedings{cha2013a,
    author = {Meng-Wei Chang and Christopher Collins},
    title = {Exploring Entities in Text with Descriptive Non-photorealistic Rendering},
    booktitle = {Proc. of the 2013 IEEE Pacific Visualization Symposium (PACIFICVIS ’13)},
    year = 2013
    }

  • M. Chang, “Exploring Entities in Text with Descriptive Non-photorealistic Rendering,” Master Thesis, 2012.

    PDF

    @MastersThesis{cha2012a,
    author = {Meng-Wei Chang},
    title = {Exploring Entities in Text with Descriptive Non-photorealistic Rendering},
    school = {University of Ontario Institute of Technology},
    year = 2012
    }

  • E. Alexander, C. Chang, M. Shimabukuro, S. Franconeri, C. Collins, and M. Gleicher, “The Biasing Effect of Word Length in Font Size Encodings,” Proc IEEE Information Visualization (InfoVis), Posters, 2016.

    PDF

    @poster{shi2016,
    author = {Eric Alexander and Chih-Ching Chang and Mariana Shimabukuro and Steven Franconeri and Christopher Collins and Michael Gleicher},
    title = {The Biasing Effect of Word Length in Font Size Encodings},
    booktitle = { Proc IEEE Information Visualization (InfoVis), Posters },
    series = {Poster},
    note = {Honorable Mention for Best Poster},
    year = 2016
    }

  • E. Alexander, C. Chang, M. Shimabukuro, S. Franconeri, C. Collins, and M. Gleicher, “Perceptual Biases in Font Size as a Data Encoding,” IEEE Transactions on Visualization and Computer Graphics, vol. 24, iss. 8, pp. 2397-2410, 2017.

    PDF

    @article{ale2017a,
    title={Perceptual Biases in Font Size as a Data Encoding},
    author={Eric Alexander and Chih-Ching Chang and Mariana Shimabukuro and Steven Franconeri and Christopher Collins and Michael Gleicher},
    publisher={TVCG Journal},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    ISSN = { 1077-2626 },
    volume = 24,
    Number = {8},
    Pages= { 2397–2410},
    year=2017,
    doi={10.1109/TVCG.2017.2723397}
    }

  • J. Wenskovitch, M. Zhou, C. Collins, R. Chang, M. Dowling, A. Endert, and K. Xu, “Putting the “I” in Interaction: Interactive Interfaces Personalized to Individuals,” IEEE Computer Graphics and Applications, vol. 40, iss. 3, pp. 73-82, 2020.

    PDF

    @article{wenskovitch2020putting,
    title={Putting the “I” in Interaction: Interactive Interfaces Personalized to Individuals},
    author={Wenskovitch, John and Zhou, Michelle and Collins, Christopher and Chang, Remco and Dowling, Michelle and Endert, Alex and Xu, Kai},
    journal={IEEE Computer Graphics and Applications},
    volume={40},
    number={3},
    pages={73–82},
    year={2020},
    publisher={IEEE}
    }

  • N. Boukhelifa, A. Bezerianos, R. Chang, C. Collins, S. Drucker, A. Endert, J. Hullman, C. North, and M. Sedlmair, “Challenges in Evaluating Interactive Visual Machine Learning Systems,” IEEE Computer Graphics and Applications, vol. 40, iss. 6, pp. 88-96, 2021.

    PDF

    @article{bou2021a,
    title={Challenges in Evaluating Interactive Visual Machine Learning Systems},
    author={N. {Boukhelifa} and A. {Bezerianos} and R. {Chang} and C. {Collins} and S. {Drucker} and A. {Endert} and J. {Hullman} and C. {North} and M. {Sedlmair}},
    journal={IEEE Computer Graphics and Applications},
    volume={40},
    number={6},
    pages={88-96},
    year={2021},
    publisher={IEEE}
    doi={10.1109/MCG.2020.3017064}
    }

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