Dan Li

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection

Alberto L. Sangiovanni-Vincentelli, Kameshwar Poolla, Yuxin Chen, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

Lei Shi, See-Kiong Ng, Dan Li, 2019, ICANN.

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series pdf

See-Kiong Ng, Dan Li, Jonathan Goh, 2018, ArXiv.

Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG pdf

Dan Li, See-Kiong Ng, Dacheng Chen, 2021, ArXiv.

Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks

Alberto L. Sangiovanni-Vincentelli, Kameshwar Poolla, Baihong Jin, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

Cross Domain Data Generation for Smart Building Fault Detection and Diagnosis

Yuxun Zhou, See-Kiong Ng, Dan Li, 2022, Mathematics.

CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks

See-Kiong Ng, Zibin Zheng, Dan Li, 2023, DASFAA.

MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks

See-Kiong Ng, Dan Li, Panpan Qi, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE).