2.7k citations · 4.6k across the 53 of their papers we have counts for
12 papers · 1 filter
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data
Guansong Pang, Anton van den Hengel, Chunhua Shen +1
We consider the problem of anomaly detection with a small set of partially labeled anomaly examples and a large-scale unlabeled dataset. This is a common scenario in many important…
Unsupervised Heterogeneous Coupling Learning for Categorical Representation
Chengzhang Zhu, Longbing Cao, Jianping Yin
Complex categorical data is often hierarchically coupled with heterogeneous relationships between attributes and attribute values and the couplings between objects. Such value-to-o…
In-Depth Behavior Understanding and Use: The Behavior Informatics Approach
Longbing Cao
The in-depth analysis of human behavior has been increasingly recognized as a crucial means for disclosing interior driving forces, causes and impact on businesses in handling many…
Coupling Learning of Complex Interactions
Longbing Cao
Complex applications such as big data analytics involve different forms of coupling relationships that reflect interactions between factors related to technical, business (domain-s…
Data science and AI in FinTech: An overview
Longbing Cao, Qiang Yang, Philip S. Yu
Financial technology (FinTech) has been playing an increasingly critical role in driving modern economies, society, technology, and many other areas. Smart FinTech is the new-gener…
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting
Longbing Cao
While recommendation plays an increasingly critical role in our living, study, work, and entertainment, the recommendations we receive are often for irrelevant, duplicate, or unint…