Yongsheng Sang

According to our database, Yongsheng Sang authored at least 28 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Highly effective end-to-end single-to-multichannel feature fusion and ensemble classification to decode emotional secretes from small-scale spontaneous facial micro-expressions.

Md. Sajjatul Islam, Yongsheng Sang, Adam A. Q. Mohammed, Lei Yuan, Jiancheng Lv

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Neural network with absent minority class samples and boundary shifting for imbalanced data classification.

Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv

Neural Comput. Appl., April, 2023

Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition.

Adam A. Q. Mohammed, Jiancheng Lv, Md. Sajjatul Islam, Yongsheng Sang

J. Ambient Intell. Humaniz. Comput., 2023

2022

A neural network learning algorithm for highly imbalanced data classification.

Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv

Inf. Sci., 2022

Effective DemeapexNet: Revealing Spontaneous Facial Micro-Expressions.

Md. Sajjatul Islam, Weiqiang Jiang, Jiancheng Lv, Adam A. Q. Mohammed, Yongsheng Sang

Proceedings of the ICCDA 2022: The 6th International Conference on Compute and Data Analysis, Virtual Event / Shanghai, China, February 25, 2022

2021

An automatic evaluation metric for Ancient-Modern Chinese translation.

Kexin Yang, Dayiheng Liu, Qian Qu, Yongsheng Sang, Jiancheng Lv

Neural Comput. Appl., 2021

Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning.

Yong Wang, Chenwei Tang, Jian Wang, Yongsheng Sang, Jiancheng Lv

Knowl. Based Syst., 2021

3DCNN Backed Conv-LSTM Auto Encoder for Micro Facial Expression Video Recognition.

Md. Sajjatul Islam, Yuan Gao, Zhilong Ji, Jiancheng Lv, Adam Ahmed Qaid Mohammed, Yongsheng Sang

Proceedings of the Machine Learning and Intelligent Communications, 2021

Automatic 3D Skeleton-based Dynamic Hand Gesture Recognition Using Multi-Layer Convolutional LSTM.

Adam A. Q. Mohammed, Yuan Gao, Zhilong Ji, Jiancheng Lv, Md. Sajjatul Islam, Yongsheng Sang

Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

2020

An Abstract Painting Generation Method Based on Deep Generative Model.

Mao Li, Jiancheng Lv, Jian Wang, Yongsheng Sang

Neural Process. Lett., 2020

Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images.

Xiaofei Zhang, Jiancheng Lv, Heng Zheng, Yongsheng Sang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Generating Chinese Poetry from Images via Concrete and Abstract Information.

Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploration on the Generation of Chinese Palindrome Poetry.

Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Feature Selection and Prediction Model for Type 2 Diabetes in the Chinese Population with Machine Learning.

Jiaqi Hou, Yongsheng Sang, Yuping Liu, Li Lu

Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

2019

Multi-View Linear Discriminant Analysis Network.

Peng Hu, Dezhong Peng, Yongsheng Sang, Yong Xiang

IEEE Trans. Image Process., 2019

Adversarial correlated autoencoder for unsupervised multi-view representation learning.

Xu Wang, Dezhong Peng, Peng Hu, Yongsheng Sang

Knowl. Based Syst., 2019

A General Approach for Achieving Supervised Subspace Learning in Sparse Representation.

Jianshun Sang, Dezhong Peng, Yongsheng Sang

IEEE Access, 2019

Dual-Domain Audio Watermarking Algorithm Based on Flexible Segmentation and Adaptive Embedding.

Yifan Luo, Dezhong Peng, Yongsheng Sang, Yong Xiang

IEEE Access, 2019

2018

Fast Sparse Coding for Range Data Denoising with Sparse Ridges Constraint.

Zhi Gao, Mingjie Lao, Yongsheng Sang, Fei Wen, Bharath Ramesh, Ruifang Zhai

Sensors, 2018

Classification model of restricted Boltzmann machine based on reconstruction error.

Jing Yin, Jiancheng Lv, Yongsheng Sang, Jixiang Guo

Neural Comput. Appl., 2018

Cross-correlation conditional restricted Boltzmann machines for modeling motion style.

Chunzhi Xie, Jiancheng Lv, Yunxia Li, Yongsheng Sang

Knowl. Based Syst., 2018

2017

Explicit guiding auto-encoders for learning meaningful representation.

Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi

Neural Comput. Appl., 2017

Subspace clustering using a symmetric low-rank representation.

Jie Chen, Hua Mao, Yongsheng Sang, Zhang Yi

Knowl. Based Syst., 2017

2016

Shortest path computation using pulse-coupled neural networks with restricted autowave.

Yongsheng Sang, Jiancheng Lv, Hong Qu, Zhang Yi

Knowl. Based Syst., 2016

Symmetric low-rank representation for subspace clustering.

Jie Chen, Haixian Zhang, Hua Mao, Yongsheng Sang, Zhang Yi

Neurocomputing, 2016

2013

Free-gram phrase identification for modeling Chinese text.

Xi Peng, Zhang Yi, Xiao-Yong Wei, Dezhong Peng, Yongsheng Sang

Inf. Process. Lett., 2013

2010

Spatial Point-Data Reduction Using Pulse Coupled Neural Network.

Yongsheng Sang, Zhang Yi, Jiliu Zhou

Neural Process. Lett., 2010

2008

Motion Determination Using Non-uniform Sampling Based Density Clustering.

Yongsheng Sang, Zhang Yi

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008