Area of research
Information Systems · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Segmentation, with related work in Convolutional neural network, Word2vec, Softmax function. Notable publications include 'Fully convolutional attention network for biomedical image segmentation', 'PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation', and 'Drug and Nondrug Classification Based on Deep Learning with Various Feature Selection Strategies'.
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion
PointMHA: Point Cloud Classification via Mamba and Hybrid Attention
Mdcsnet: multi-scale dynamic spatial information fusion with criticality sampling for point cloud classification
Lightweight dual-stream multi-scale feature fusion medical image multi-disease adaptation classification network based on guided enhancement
OD-DDA: Real-Time Object Detector with Dual Dynamic Adaptation in Variable Scenes
Dual representation propagation comparative learning for recommendations
Edge Intelligence-Enabled Network Intrusion Detection in Compute First Networking
MBTFuse: A transformer-based multi-branch attention network for multi-modal image fusion
PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation
Cross-attention interaction learning network for multi-model image fusion via transformer
PS-YOLO: a small object detector based on efficient convolution and multi-scale feature fusion
ECRNet: Hybrid Network for Skin Cancer Identification
DHC-YOLO: Improved YOLOv8 for Lesion Detection in Brain Tumors, Colon Polyps, and Esophageal Cancer
DHC-YOLO: An Improved YOLOv8 for Lesion Detection in Medical Images*
A novel monitoring method based on the fusion of sound and image signals for laser welding penetration status
SAPCNet: symmetry-aware point cloud completion network
CRFNet: A Medical Image Segmentation Method Using the Cross Attention Mechanism and Refined Feature Fusion Strategy
Dual Representation Propagation Comparative Learning for Recommendations
Dual Representation Propagation Comparative Learning for Recommendations
PCTN: Point cloud data transformation network
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation
PointGT: A Method for Point-Cloud Classification and Segmentation
CMCEE: A joint learning framework for cascade decoding with multi-feature fusion and conditional enhancement for overlapping event extraction
In-situ monitoring system for weld geometry of laser welding based on multi-task convolutional neural network model
Diagnosis of Alzheimer’s disease using 2D dynamic magnetic resonance imaging
Skin disease migration segmentation network based on multi-scale channel attention
Underwater target detection with an attention mechanism and improved scale
A Novel Approach for Malicious URL Detection Based on the Joint Model
Serial attention network for skin lesion segmentation
DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation