Active Distribution System Coordinated Control Method via Artificial Intelligence. - Matthew Lau; Kayla Thames; Sakis Meliopoulos (CoRR, 2022)

AICRID: AI-Empowered CR For Interior Design. - Jin Qi Yeo; Yidi Wang; Shawn Tanary; Jiaxuan Cheng; Matthew Lau; Aik Beng Ng; Frank Guan (ISMAR-Adjunct, 2023)

Physics-Assisted Explainable Anomaly Detection in Power Systems. - Matthew Lau; Fahad Alsaeed; Kayla Thames; Nano Suresettakul; Saman A. Zonouz; Wenke Lee; Athanasios P. Meliopoulos (ECAI, 2024)

Geometric Implications of Classification on Reducing Open Space Risk. - Matthew Lau; Leyan Pan; Stefan Davidov; Athanasios P. Meliopoulos; Wenke Lee (Tiny Papers @ ICLR, 2024)

Non-Robust Features are Not Always Useful in One-Class Classification. - Matthew Lau; Haoran Wang; Alec Helbling; Matthew Hull; Shengyun Peng; Martin Andreoni; Willian T. Lunardi; Wenke Lee (CoRR, 2024)

Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice. - Tian-Yi Zhou 009; Matthew Lau; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2024)

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection. - Matthew Lau; Ismaïla Seck; Athanasios P. Meliopoulos; Wenke Lee; Eugène Ndiaye (Trans. Mach. Learn. Res., 2024)

3D Gaussian Splat Vulnerabilities. - Matthew Hull; Haoyang Yang; Pratham Mehta; Mansi Phute; Aeree Cho; Haoran Wang; Matthew Lau; Wenke Lee; Willian T. Lunardi; Martin Andreoni; Polo Chau (CoRR, 2025)

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies. - Matthew Lau; Tian-Yi Zhou 009; Xiangchi Yuan; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2025)