Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Convolutional neural network, Pattern recognition (psychology), Handwriting, and Character (mathematics).
Cross-Modal Causal Representation Learning for Radiology Report Generation
A comprehensive survey of oracle character recognition: Challenges, datasets, methodology, and beyond
Dynamics-aware loss for learning with label noise
A benchmark for unconstrained online handwritten Uyghur word recognition
Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning
Synergetic and Antagonistic Molecular Effects Mediated by the Feedback Loop of p53 and JNK between Saikosaponin D and SP600125 on Lung Cancer A549 Cells
LG-CNN: From local parts to global discrimination for fine-grained recognition
Building Regional Covariance Descriptors for Vehicle Detection
Holistic Handwritten Uyghur Word Recognition Using Convolutional Neural Networks
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Aircraft Detection by Deep Convolutional Neural Networks
Variation of Nutrients Flowand Recovery Rate of Inert Marker in Digesta Collected with T-Canuula at the Terminal Ileum of Growing Pigs
Dongwu yingyang xuebao 2014cited by 0position: first
Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting
Common Sense Knowledge for Handwritten Chinese Text Recognition
An Effective Character Separation Method for Online Cursive Uyghur Handwriting