Publications (49)
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
Xuan Xia, Xizhou Pan, Xing He +3
As a kind of generative self-supervised learning methods, generative adversarial nets have been widely studied in the field of anomaly detection. However, the representation learni…
A Novel Approach for Big Data Analytics in Future Grids Based on Free Probability
Zenan Ling, Robert C. Qiu, Xing He +1
Based on the random matrix model, we can build statistical models using massive datasets across the power grid, and employ hypothesis testing for anomaly detection. First, the aim…
A Correlation Analysis Method for Power Systems Based on Random Matrix Theory
Xinyi Xu, Xing He, Qian Ai +1
The operating status of power systems is influenced by growing varieties of factors, resulting from the developing sizes and complexity of power systems; in this situation, the mod…
Tuning charge-transport properties and magnetic order in metallic EuTiO
Xing He, Chiou Yang Tan, Issam Khayr +9
The stoichiometric antiferromagnetic insulator EuTiO is proximate to a ferroelectric phase. Whereas cation substitution has been used as a tuning parameter to introduce charge…
When Text Simplification Is Not Enough: Could a Graph-Based Visualization Facilitate Consumers' Comprehension of Dietary Supplement Information?
Xing He, Rui Zhang, Jordan Alpert +7
Dietary supplements are widely used but not always safe. With the rapid development of the Internet, consumers usually seek health information including dietary supplement informat…
A Data-driven Approach to Multi-event Analytics in Large-scale Power Systems Using Factor Model
Fan Yang, Xing He, Robert Caiming Qiu +1
Multi-event detection and recognition in real time is of challenge for a modern grid as its feature is usually non-identifiable. Based on factor model, this paper porposes a data-d…