Dan Li
Orcid: 0000-0002-3787-1673Affiliations:
- National University of Singapore, Institute of Data Science, Singapore
- Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (PhD 2017)
According to our database1,
Dan Li
authored at least 14 papers
between 2015 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG.
CoRR, 2021
2020
Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems.
IEEE Trans Autom. Sci. Eng., 2020
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
2019
Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data.
IEEE Trans Autom. Sci. Eng., 2019
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
2018
CoRR, 2018
2017
Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis.
IEEE Trans. Ind. Informatics, 2017
2016
Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Fusing system configuration information for building cooling plant Fault Detection and severity level identification.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016
2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015