An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Exploring the Impact of ChatGPT on Student Interactions in Computer-Supported Collaborative Learning.
CoRR, 2024
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, August, 2023
Predicting stock price movement using a DBN-RNN.
Appl. Artif. Intell., 2021
Mining discriminative spatial cues for aerial image quality assessment towards big data.
Signal Process. Image Commun., 2020
A mix-pooling CNN architecture with FCRF for brain tumor segmentation.
J. Vis. Commun. Image Represent., 2019
Tire X-ray Image Defects Detection Based on Adaptive Thresholding Method.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2019
Automatical Pulmonary Nodule Detection by Feature Contrast Learning.
Proceedings of the Intelligent Computing Theories and Application, 2019
Nonlinear Model Identification Adaptive Heater Control Design for Loop Heat Pipes.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
An uniformizing method of MR image intensity transformation.
J. Vis. Commun. Image Represent., 2018
Vehicle license plate detection and recognition using deep neural networks and generative adversarial networks.
J. Electronic Imaging, 2018
Design and implementation of a conflict-free memory accessing technique for FFT on multicluster VLIW DSP.
IEICE Electron. Express, 2018
A Robust and Real-Time Approach for License Plate Detection.
Proceedings of the 14th International Conference on Natural Computation, 2018
Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
An efficient conflict-free memory-addressing unit for SIMD VLIW DSP.
Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2017
GT-SGD: A Novel Gradient Synchronization Algorithm in Training Distributed Recurrent Neural Network Language Models.
Proceedings of the International Conference on Networking and Network Applications, 2017
Multi-GPU Based Recurrent Neural Network Language Model Training.
Proceedings of the Social Computing, 2016