Area of research
Artificial Intelligence · Epidemiology
Research interest
Research focused on Artificial intelligence and Malware, with related work in Convolutional neural network, Botnet, SOAP. Notable publications include 'Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network', 'A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection', and 'Worst-input mutation approach to web services vulnerability testing based on SOAP messages'.
Bioinformatics Analysis of the Expression and Prognostic Significance of Transcription Factor <scp>YY1</scp> in Gastric Cancer
Autologous cryo-shocked neutrophils enable targeted therapy of sepsis via broad-spectrum neutralization of pro-inflammatory cytokines and endotoxins
Category Mapping of Emergency Supplies Classification Standard Based on BERT-TextCNN
The ACE2 activator diminazene aceturate ameliorates colitis by repairing the gut-vascular barrier in mice
Composition and Structural Characteristics of Heavy Distillate from Xinjiang High Temperature Coal Tar
A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection
Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network
Combining multi-features with a neural joint model for Android malware detection
Worst-input mutation approach to web services vulnerability testing based on SOAP messages