5 citations · 5 across the 3 of their papers we have counts for
3 papers
Designing Needs- and Attention-Aware AI Learning Tools for Engineering Education: Insights from Psychological Outcomes
Kevin Zhongyang Shao, Denise Wilson, Yale Quan +1
Artificial Intelligence (AI) is transforming higher education, but its benefits can vary depending on where, how, and how often it supports learning. While prior research emphasize…
Advancing Data Equity: Practitioner Responsibility and Accountability in NLP Data Practices
Jay L. Cunningham, Kevin Zhongyang Shao, Rock Yuren Pang +1
While research has focused on surfacing and auditing algorithmic bias to ensure equitable AI development, less is known about how NLP practitioners - those directly involved in dat…
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers
Hanrui Wang, Pengyu Liu, Kevin Shao +5
Quantum computing has the potential to solve problems that are intractable for classical systems, yet the high error rates in contemporary quantum devices often exceed tolerable li…