Building a Flexible Knowledge Graph to Capture Real-World Events. - Laura Burdick; Oana Ignat; Yiming Zhang; Rada Mihalcea; Mingzhe Wang; Steve Wilson 002; Yumou Wei; Jia Deng 001 (TAC, 2019)

Sinusoidal Flow: A Fast Invertible Autoregressive Flow. - Yumou Wei (ACML, 2021)

Integration of artificial vision with non-visual peripheral cues to guide mobility. - V. Swetha Jeganathan; Chien Erh Lin; Hojun Son; Divya Krishnagiri; Yumou Wei; James D. Weiland (EMBC, 2022)

Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak. - Yumou Wei; Ryan F. Forelli; Chris Hansen; Jeffrey P. Levesque; Nhan Tran; Joshua C. Agar; Giuseppe Di Guglielmo; Michael E. Mauel; Gerald A. Navratil (CoRR, 2023)

Uncovering Name-Based Biases in Large Language Models Through Simulated Trust Game. - Yumou Wei; Paulo F. Carvalho; John C. Stamper (CoRR, 2024)

KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery. - Yumou Wei; Paulo Carvalho 004; John C. Stamper (CoRR, 2025)

Small but Significant: On the Promise of Small Language Models for Accessible AIED. - Yumou Wei; Paulo Carvalho 004; John C. Stamper (CoRR, 2025)