Xinyu Wang

schoolUniversity of Michiganbar_chart#2024 Global Rank

Total Papers

HCI Rank

#2024

Research Areas

Years Active

Recent Publications

DiLogics: Creating Web Automation Programs with Diverse Logics

Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web actions accurately and extending to new specifications is challenging. Existing tools can automate tasks that perform the same logical tra…

UIST '235th+ AuthorExplainable AI (XAI) +1

MIWA: Mixed-Initiative Web Automation for Better User Control and Confidence

In the era of Big Data, web automation is frequently used by data scientists, domain experts, and programmers to complete time-consuming data collection tasks. However, developing web automation scripts requires familiarity with a programming language and HTML, which remains a key learning barrier for non-expert users…

UIST '224th AuthorHonorable MentionRecommender System UX +1

SemanticOn: Specifying Content-Based Semantic Conditions for Web Automation Programs

Data scientists, researchers, and clerks often create web automation programs to perform repetitive yet essential tasks, such as data scraping and data entry. However, existing web automation systems lack mechanisms for defining conditional behaviors where the system can intelligently filter candidate content based on…

UIST '225th+ AuthorAutoML Interfaces +1

INTENT: Interactive Tensor Transformation Synthesis

There is a growing interest in adopting Deep Learning (DL) given its superior performance in many domains. However, modern DL frameworks such as TensorFlow often come with a steep learning curve. In this work, we propose INTENT, an interactive system that infers user intent and generates corresponding TensorFlow code…

CHI '215th+ AuthorExplainable AI (XAI) +1

Interpretable Program Synthesis

Program synthesis, which generates programs based on user-provided specifications, can be obscure and brittle: users have few ways to understand and recover from synthesis failures. We propose interpretable program synthesis, a novel approach that unveils the synthesis process and enables users to monitor and guide th…

UIST '203rd AuthorProgramming Education & Computational Thinking +1

Interactive Program Synthesis by Augmented Examples

Programming-by-example (PBE) has become an increasingly popular component in software development tools, humanrobot interaction, and end-user programming. A long-standing challenge in PBE is the inherent ambiguity in user-provided examples. This paper presents an interaction model to disambiguate user intent and reduc…

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