Area of research
Artificial Intelligence · Mechanical Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Triboelectric effect, Nanogenerator, Wind power, and Energy harvesting.
XRadNet: A Radiomics-Guided Breast Cancer Molecular Subtype Prediction Network With a Radiomics Explanation
ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis
Improving domain generalization by hybrid domain attention and localized maximum sensitivity
Irregular Wind Energy Harvesting by a Turbine Vent Triboelectric Nanogenerator and Its Application in a Self-Powered On-Site Industrial Monitoring System