Effective Outlier Detection based on Bayesian Network and Proximity. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le (IEEE BigData, 2018)

LoPAD: A Local Prediction Approach to Anomaly Detection. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (PAKDD (2), 2020)

Dependency-based Anomaly Detection: Framework, Methods and Benchmark. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (CoRR, 2020)

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (ICBK, 2021)

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. - Sha Lu 001; Eriita G. Jones; Liang Zhao; Yu Sun; A. Kai Qin; Jixue Liu; Jiuyong Li; Prabath Abeysekara; Norman Mueller; Simon Oliver; Jim O'Hehir; Stefan Peters (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Leveraging Channel Coherence in Long-Term iEEG Data for Seizure Prediction. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Jordan D. Chambers; Mark J. Cook; David B. Grayden (IEEE J. Biomed. Health Informatics, 2025)

Dependency-based anomaly detection: A general framework and comprehensive evaluation. - Sha Lu 001; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu; Jiuyong Li (Expert Syst. Appl., 2026)