Area of research
Geophysics · Computer Vision and Pattern Recognition
Research interest
Research focused on Artificial intelligence and Benchmark (surveying), with related work in Point cloud, Segmentation, Hidden Markov model. Notable publications include 'An Ultrathin Nonporous Polymer Separator Regulates Na Transfer Toward Dendrite‐Free Sodium Storage Batteries', 'DNA motif elucidation using belief propagation', and 'Semi-supervised learning with pseudo-negative labels for image classification'.
Active learning with joint probabilistic modeling for point cloud semantic segmentation
Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation
DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning
A multi-view consistency framework with semi-supervised domain adaptation
An Ultrathin Nonporous Polymer Separator Regulates Na Transfer Toward Dendrite‐Free Sodium Storage Batteries
Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher
Image Restoration Quality Assessment Based on Regional Differential Information Entropy
Semi-supervised learning with pseudo-negative labels for image classification
Semi-supervised semantic segmentation with cross teacher training
Watermark-Preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking
An Improved Bearing Defect Detection Algorithm Based on Yolo
Finding core–periphery structures in large networks
A deep learning-based ensemble method for helmet-wearing detection
DNA motif elucidation using belief propagation