Area of research
Information Systems · Artificial Intelligence
Research interest
Research interests include Recommender Systems and Techniques, Privacy-Preserving Technologies in Data, Advanced Graph Neural Networks, and Advanced Measurement and Detection Methods.
Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia
Metabolomics Characterize the Differential Metabolic Markers between Bama Xiang Pig and Debao Pig to Identify Pork
Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules
A prolific and robust whole‐genome genotyping method using PCR amplification via primer‐template mismatched annealing
Bidirectional GRU networks‐based next POI category prediction for healthcare
Rapid isolation and immune profiling of SARS-CoV-2 specific memory B cell in convalescent COVID-19 patients via LIBRA-seq
Synbiotic-driven improvement of metabolic disturbances is associated with changes in the gut microbiome in diet-induced obese mice
Systematic identification of regulatory variants associated with cancer risk
Limited contribution of rare, noncoding variation to autism spectrum disorder from sequencing of 2,076 genomes in quartet families