Zoya’s work lies at the interface of human perception & cognition, computer vision & machine learning, and human computer interfaces. Zoya actively works on understanding and modeling human attention, memory, preference and their applications to computational photography, readability, and generative AI. Zoya’s approach to research is to run perception studies on humans, and use the collected insights to build smarter computational algorithms. Zoya’s work is interdisciplinary and is published in top-tier human vision, computer vision, HCI, and visualization venues.

Zoya received her PhD from MIT in 2018 at the Computer Science and Artificial Intelligence Lab. Her thesis was on “Computational Perception for Multimodal Document Understanding” and was awarded the George M. Sprowls Award for Best PhD Theses in Computer Science. Zoya’s M.Sc. thesis, also from MIT, was on “Computational Understanding of Image Memorability“. Prior to this, Zoya attended the University of Toronto, where she majored in computer science and statistics and was an undergraduate research assistant in computer vision.

More about Zoya’s research: http://zoyathinks.com/

A complete list of publications is on Google Scholar. The below list only includes papers published since joining Adobe in 2018.


Web Table Formatting Affects Readability on Mobile Devices

Tensmeyer, C., Bylinskii, Z., Cai, T., Miller, D., Nenkova, A., Niklaus, A., Wallace, S. (Apr. 30, 2023)

Proceedings of the ACM Web Conference 2023

THERIF: Themes for Readability from Iterative Feedback

Cai, T., Niklaus, A., Kerr, B., Kraley, M., Bylinskii, Z. (Apr. 19, 2023)

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Digital Reading Rulers: Evaluating Inclusively Designed Rulers for Readers With Dyslexia and Without

Niklaus, A., Cai, T., Bylinskii, Z., Wallace, S., Bylinskii, B. (Apr. 19, 2023)

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Readability Research: An Interdisciplinary Approach

Beier, S., Berlow, S., Boucaud, E., Bylinskii, Z., Cai, T., Cohn, J., Crowley, K., Day, S., Dingler, T., Dobres, J., Healey, J., Jain, R., Jordan, M., Kerr, B., Li, Q., Miller, D., Nobles, S., Papoutsaki, A., Qian, J., Rezvanian, T., Rodrigo, S., Sawyer, B., Sheppard, S., Stein, B., Trietman, R., Vanek, J., Wallace, S., Wolfe, B. (Dec. 1, 2022)

Foundations and Trends in Human–Computer Interaction

Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability

Cai, T., Wallace, S., Rezvanian, T., Dobres, J., Kerr, B., Berlow, S., Huang, J., Sawyer, B., Bylinskii, Z. (Jun. 13, 2022)

Designing Interactive Systems Conference (DIS)

Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals

Wallace, S., Bylinskii, Z., Dobres, J., Kerr, B., Berlow, S., Treitman, R., Kumawat, N., Arpin, K., Miller, D., Huang, J., Sawyer, B. (Mar. 31, 2022)

ACM Transactions on Computer-Human Interaction (TOCHI)

Larger visual changes compress time: The inverted effect of asemantic visual features on interval time perception

Malpica, S., Masia, B., Herman, L., Wetzstein, G., Eagleman, D., Gutierrez, D., Bylinskii, Z., Sun, Q. (Mar. 22, 2022)

PloS one (Public Library of Science)

KDSalBox: A toolbox of efficient knowledge-distilled saliency models

Kastrati, A., Bylinskii, Z., Shechtman, E. (Oct. 12, 2021)

SVRHM 2021 Workshop @ NeurIPS

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection

Madan, S., Bylinskii, Z., Nobre, C., Tancik, M., Recasens, A., Zhong, K., Alsheikh, S., Oliva, A., Durand, F., Pfister, H. (May. 25, 2021)

IEEE Pacific Visualization Symposium (PacificVis)

Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow

Sultanum, N., Chevalier, F., Bylinskii, Z., Liu, L. (May. 13, 2021)

ACM Conference on Human Factors in Computing Systems (CHI)

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews

Srivastava, N., Jain, R., Healey, J., Bylinskii, Z., Dingler, T. (May. 8, 2021)

ACM CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'EA)

Toward Quantifying Ambiguities in Artistic Images

Wang, X., Bylinskii, Z., Hertzmann, A., Pepperell, R. (Nov. 6, 2020)

ACM Transactions on Applied Perception (TAP)

Predicting Visual Importance Across Graphic Design Types

Fosco, C., Casser, V., Bedi, A., O'Donovan, P., Hertzmann, A., Bylinskii, Z. (Oct. 20, 2020)

ACM Symposium on User Interface Software and Technology (UIST)

Look here! A parametric learning based approach to redirect visual attention

Mejjati, Y., Gomes, C., Kim, K., Shechtman, E., Bylinskii, Z. (Aug. 23, 2020)

European Conference on Computer Vision (ECCV)

TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data

Newman, A., McNamara, B., Fosco, C., Bin Zhang, Y., Sukhum, P., Tancik, M., Kim, N., Bylinskii, Z. (Apr. 25, 2020)

ACM Conference on Human Factors in Computing Systems (CHI)

Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness

Wallace, S., Treitman, R., Huang, J., Sawyer, B., Bylinskii, Z. (Apr. 25, 2020)

ACM CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'EA)

ICONATE: Automatic Compound Icon Generation and Ideation

Zhao, N., Kim, N., Herman, L., Pfister, H., Lau, R., Echevarria, J., Bylinskii, Z. (Apr. 25, 2020)

ACM Conference on Human Factors in Computing Systems (CHI)

How much time do you have? Modeling multi-duration saliency

Fosco, C., Newman, A., Sukhum, P., Bin Zhang, Y., Zhao, N., Oliva, A., Bylinskii, Z. (Mar. 30, 2020)

Computer Vision and Pattern Recognition (CVPR)

How Many Glances? Modeling Multi-duration Saliency

Fosco, C., Newman, A., Sukhum, P., Bin Zhang, Y., Oliva, A., Bylinskii, Z. (Dec. 13, 2019)

Workshop on Shared Visual Representations in Human and Machine Intelligence at NeurIPS (SVRHM)