ZhichengHuang |
I am a second-year PhD student advised by Haijun Xia at the Previously, I was in the Sc.M. program in Computer Science at Brown University where I worked with Jeff Huang at the HCI Lab and Nikos Vasilakis at the ATLAS group. I received my B.S. degree in Computer Science and Cognitive Science from the University of Michigan, Ann Arbor, working with Xinyu Wang. |
I believe in a convivial information ecosystem where people can easily (1) curate, (2) make sense of, and (3) manipulate any information that matters to them.
My research spans across Human-Computer Interaction, Programming Languages, and Systems.
* denotes equal contribution
![]() NSDI 2026
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The 23rd USENIX Symposium on Networked Systems Design and Implementation
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![]() CHIIR 2025
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The 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval
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UIST 2023
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Proceedings of the ACM Symposium on User Interface Software and Technology, 2023
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![]() PLDI 2022
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Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2022
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![]() Preprint 2026
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Preprint, 2026
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Web tasks often span across multiple webpages and require people to repetitively interact (e.g., click, scroll, copy, type) over them. Because webpages are independently developed and generally lack incentives for interoperability, we envision a client-side remedy. In contrast to end-to-end automation which assumes well-specified information need, we believe that people should have a set of small-step automation primitives to selectively apply in any point of their information work, even with partial information need. For each webpage, Cling parses its content into a typed, relational database, while maintaining a bidirectional mapping between each database entry and its corresponding DOM element on the page. When people interact with page content, Cling identifies automation opportunities using the type, value, and other metadata of its corresponding database entry, before surfacing and executing them on the original webpage. |
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![]() CHI 2026 Workshop
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CHI 2026 Workshop on Generative UI (GenUI meets HCI)
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![]() Preprint 2026
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arXiv preprint arXiv:2601.17975, 2026
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