Area of research
Information Systems · Artificial Intelligence
Research interest
Research interests include Data Mining Algorithms and Applications, Recommender Systems and Techniques, Anomaly Detection Techniques and Applications, and Imbalanced Data Classification Techniques.
Dynamic Spectral Graph Anomaly Detection
Lactobacillus gasseri LGV03 isolated from the cervico-vagina of HPV-cleared women modulates epithelial innate immune responses and suppresses the growth of HPV-positive human cervical cancer cells
Data science and AI in FinTech: an overview
Graph Learning based Recommender Systems: A Review
<p>New serum biomarker identification and analysis by mass spectrometry in cervical precancerous lesion and acute cervicitis in South China</p>
High-order Proximity Preserving Information Network Hashing
Discrete Content-aware Matrix Factorization
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences
Nonoccurring Behavior Analytics: A New Area
A hybrid coupled k-nearest neighbor algorithm on imbalance data
An Efficient Approach for Outlier Detection with Imperfect Data Labels
A brief introduction to agent mining
Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams