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Zhilin Zhang

About Me

Human-Computer Interaction; Artificial Intelligence; Social Computing; Decentralization

I am a Computer Science PhD candidate at the University of Oxford, working on the Ethical Web and Data Architecture project led by Professor Sir Nigel Shadbolt and Professor Sir Tim Berners-Lee. In Oxford Human Centred Computing, I am co-supervised by Professor Sir Nigel Shadbolt and Dr Jun Zhao, and receive kind support from Professor Max Van Kleek.

My research interests lie broadly in Human-Computer Interaction (HCI), with a particular focus on ethical and decentralized web technologies in the age of artificial intelligence. I am currently contributing to the Ethical Web and Data Architecture project, which aims to reform the concentration of power on the World Wide Web by developing and deploying new forms of technical and legal infrastructure. My work involves designing decentralized systems and AI-driven applications that uphold freedom, democracy, and user autonomy across the web and social media.

I received my B.S. and M.S., both in Computer Science, from the University of Illinois at Urbana-Champaign (UIUC), co-advised by Professor Lawrence Angrave and Professor Karrie Karahalios. I also worked with Professor ChengXiang Zhai in the Data and Information Systems Laboratory.

Please feel free to contact me at: zhilin.zhang@cs.ox.ac.uk

[Curriculum Vitae]   [Google Scholar]   [Oxford Page] 

Latest Updates

[05/2024]: One New Paper Accepted at CSCW 2024

[05/2024]: Best Paper Honorable Mention at CHI 2024

[01/2024]: Two New Papers Accepted at CHI 2024

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Portfolio

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Publications

(* = Equal Contribution)

Trouble in Paradise? Understanding Mastodon Admin’s Motivations, Experiences, and Challenges Running Decentralised Social Media

CSCW 2024 - Full Paper [pdf]

Zhilin Zhang, Jun Zhao, Ge Wang, Samantha-Kaye Johnston, George Chalhoub, Tala Ross, Diyi Liu, Claudine Tinsman, Rui Zhao, Max Van Kleek, Nigel Shadbolt

CHAITok: A Proof-of-Concept System Supporting Children's Sense of Data Autonomy on Social Media

CHI 2024 - Full Paper [pdf]

Ge Wang, Jun Zhao, Samantha-Kaye Johnston, Zhilin Zhang, Max Van Kleek, Nigel Shadbolt

* Best Paper Honorable Mention

KOALA Hero Toolkit: A New Approach to Inform Families of Mobile Datafication Risks

CHI 2024 - Full Paper [pdf]

Ge Wang, Jun Zhao, Konrad Kollnig, Adrien Zier, Blanche Duron, Zhilin Zhang, Max Van Kleek, Nigel Shadbolt

Am I wrong, or is the autograder wrong? Effects of AI grading mistakes on learning

ICER 2023 - Full Paper [pdf]

Tiffany Wenting Li, Silas Hsu, Max Fowler, Zhilin Zhang, Craig Zilles, Karrie Karahalios

Exploring collaborative caption editing to augment video-based learning
Educational Technology Research and Development Journal - Full Paper [pdf]
Bhavya*, Si Chen*, Zhilin Zhang*, Tiffany Wenting Li, Yun Huang, Lawrence Angrave, ChengXiang Zhai


How Students Search Video Captions to Learn: An Analysis of Search Terms and Behavioral Timing Data
ASEE 2021 - Full Paper [pdf]
Zhilin Zhang*, Bhavya*, Lawrence Angrave, Ruihua Sui, Rob Kooper, Chirantan Mahipal, Yun Huang


A UDL-Based Large-Scale Study on the Needs of Students with Disabilities in Engineering Courses
ASEE 2021 - Full Paper [pdf]
Jenny Amos*, Zhilin Zhang*, Lawrence Angrave*, Hongye Liu*, Yiyin Shen

* 3rd Best Paper Award & 2nd Best Diversity, Equity, and Inclusion Paper Award


WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments
SOUPS 2021 - Full Paper [pdf]
Zhuohao Zhang, Zhilin Zhang, Haolin Yuan, Natã Barbosa, Sauvik Das, Yang Wang


Attitudes Surrounding an Imperfect AI Autograder
CHI 2021 - Full Paper [pdf]
Silas Hsu*, Tiffany Wenting Li*, Zhilin Zhang, Max Fowler, Craig Zilles, Karrie Karahalios


Improving Student Accessibility, Equity, Course Performance, and Lab Skills: How Introduction of ClassTranscribe is Changing Engineering Education

ASEE 2020 - Full Paper [pdf]
Lawrence Angrave, Karin Jensen, Zhilin Zhang, Chirantan Mahipal, David Mussulman, Christopher Schmitz, Robert Baird, Hongye Liu, Ruihua Sui, Maryalice Wu, and Rob Kooper

* Best Diversity, Equity & Inclusion Paper Honorable Mention

Who Benefits? Positive Learner Outcomes from Behavioral Analytics of Online Lecture Video Viewing using ClassTranscribe

SIGCSE 2020 - Full Paper [pdf]

Lawrence Angrave, Zhilin Zhang, Genevieve Henricks-Lepp, Chirantan Mahipal

Attitudes, Behaviors, and Learning Outcomes from Using ClassTranscribe, a UDL-Featured Video-Based Online Learning Platform with Learnersourced Text-Searchable Captions

UIUC - Master's Thesis (2021)  [pdf]

Zhilin Zhang

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Contact Me

Please feel free to contact me at zhilin.zhang@cs.ox.ac.uk

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