Prof. April Yi Wang — Research Profile
ETH Zurich · Department of Computer Science
About
Prof. April Yi Wang at ETH Zurich Department of Computer Science lists educational technology, human-computer interaction, artificial intelligence in education, collective intelligence and organizational technology, end-user programming, user interface for programming as their registered research area.
Research keywords
Recent papers
- Following Breadcrumbs in Code: What Accidentally Committed Ad-Hoc Logs Reveal about Developer ComprehensionNewPreprintarXiv (Cornell University) · Oct 8
- Structure-Aware Rendering: How Code Reveal Shapes Programmers' Visual AttentionNewPreprintarXiv (Cornell University) · Sep 21
- Notrix: Understanding Machine Learning Solutions Across Computational Notebooks at ScalePreprintarXiv (Cornell University) · Sep 18
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Zhendong Su 교수 연구실
ETH Zurich · Department of Computer Science
Codoku: Renewable Program-Reasoning Challenges for Frontier Coding AgentsPreprintarXiv (Cornell University) · Sep 28Shared topic: Software Engineering Research
Mennatallah El-Assady 교수 연구실
ETH Zurich · Department of Computer Science
MIVAIS: A Study Environment for Multi-Agent Mixed-Initiative Visual Analytics ApplicationsPreprintarXiv (Cornell University) · Sep 4Shared topic: Data Visualization and Analytics
Liu Yang 교수 연구실
Nanyang Technological University · College of Computing and Data Science
XRepoSkill: Learning Transferable Skills for Software Engineering AgentsPreprintarXiv (Cornell University) · Sep 29Shared topic: Software Engineering Research
Other labs in this department
- Adrian Perrig 교수 연구실
system and network security, networks, internet architecture
- Ana Klimovic 교수 연구실
cloud computing, operating systems, distributed systems, storage systems, computer architecture
- Andreas Krause 교수 연구실
machine learning, artificial intelligence, reinforcement learning, probabilistic inference
- Angelika Steger 교수 연구실
algorithms, combinatorics, randomization and probabilistic methods, combinatorial models for optimization
- Bernhard Schölkopf 교수 연구실
machine learning, causal inference, applications in the sciences
- Christian Holz 교수 연구실
virtual reality, healthcare, ubiquitous computing, embedded systems, haptics, human-computer interaction, physical prototyping, sensing, signal processing, predictive health