Motion Determination Using Non-uniform Sampling Based Density Clustering. - Yongsheng Sang; Zhang Yi 001 (FSKD (4), 2008)

Spatial Point-Data Reduction Using Pulse Coupled Neural Network. - Yongsheng Sang; Zhang Yi 001; Jiliu Zhou (Neural Process. Lett., 2010)

Free-gram phrase identification for modeling Chinese text. - Xi Peng 001; Zhang Yi 001; Xiao-Yong Wei; Dezhong Peng; Yongsheng Sang (Inf. Process. Lett., 2013)

Symmetric low-rank representation for subspace clustering. - Jie Chen 065; Haixian Zhang; Hua Mao; Yongsheng Sang; Zhang Yi 001 (Neurocomputing, 2016)

Shortest path computation using pulse-coupled neural networks with restricted autowave. - Yongsheng Sang; Jiancheng Lv 001; Hong Qu; Zhang Yi 001 (Knowl. Based Syst., 2016)

Subspace clustering using a symmetric low-rank representation. - Jie Chen 065; Hua Mao; Yongsheng Sang; Zhang Yi 001 (Knowl. Based Syst., 2017)

Explicit guiding auto-encoders for learning meaningful representation. - Yanan Sun 001; Hua Mao; Yongsheng Sang; Zhang Yi 001 (Neural Comput. Appl., 2017)

Cross-correlation conditional restricted Boltzmann machines for modeling motion style. - Chunzhi Xie; Jiancheng Lv 001; Yunxia Li; Yongsheng Sang (Knowl. Based Syst., 2018)

Classification model of restricted Boltzmann machine based on reconstruction error. - Jing Yin; Jiancheng Lv 001; Yongsheng Sang; Jixiang Guo (Neural Comput. Appl., 2018)

Fast Sparse Coding for Range Data Denoising with Sparse Ridges Constraint. - Zhi Gao; Mingjie Lao; Yongsheng Sang; Fei Wen; Bharath Ramesh 001; Ruifang Zhai (Sensors, 2018)

Dual-Domain Audio Watermarking Algorithm Based on Flexible Segmentation and Adaptive Embedding. - Yifan Luo; Dezhong Peng; Yongsheng Sang; Yong Xiang 001 (IEEE Access, 2019)

A General Approach for Achieving Supervised Subspace Learning in Sparse Representation. - Jianshun Sang; Dezhong Peng; Yongsheng Sang (IEEE Access, 2019)

Adversarial correlated autoencoder for unsupervised multi-view representation learning. - Xu Wang 028; Dezhong Peng; Peng Hu 002; Yongsheng Sang (Knowl. Based Syst., 2019)

Multi-View Linear Discriminant Analysis Network. - Peng Hu 002; Dezhong Peng; Yongsheng Sang; Yong Xiang 001 (IEEE Trans. Image Process., 2019)

Feature Selection and Prediction Model for Type 2 Diabetes in the Chinese Population with Machine Learning. - Jiaqi Hou; Yongsheng Sang; Yuping Liu; Li Lu (CSAE, 2020)

Exploration on the Generation of Chinese Palindrome Poetry. - Liao Chen; Zhichen Lai 001; Dayiheng Liu; Jiancheng Lv 001; Yongsheng Sang (ICONIP (1), 2020)

Generating Chinese Poetry from Images via Concrete and Abstract Information. - Yusen Liu 001; Dayiheng Liu; Jiancheng Lv 001; Yongsheng Sang (IJCNN, 2020)

Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images. - Xiaofei Zhang; Jiancheng Lv 001; Heng Zheng 004; Yongsheng Sang (IJCNN, 2020)

An Abstract Painting Generation Method Based on Deep Generative Model. - Mao Li 001; Jiancheng Lv 001; Jian Wang 124; Yongsheng Sang (Neural Process. Lett., 2020)

Automatic 3D Skeleton-based Dynamic Hand Gesture Recognition Using Multi-Layer Convolutional LSTM. - Adam A. Q. Mohammed; Yuan Gao; Zhilong Ji; Jiancheng Lv 001; Md. Sajjatul Islam; Yongsheng Sang (ICRAI, 2021)

3DCNN Backed Conv-LSTM Auto Encoder for Micro Facial Expression Video Recognition. - Md. Sajjatul Islam; Yuan Gao; Zhilong Ji; Jiancheng Lv 001; Adam Ahmed Qaid Mohammed; Yongsheng Sang (MLICOM, 2021)

Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning. - Yong Wang; Chenwei Tang; Jian Wang 124; Yongsheng Sang; Jiancheng Lv 001 (Knowl. Based Syst., 2021)

An automatic evaluation metric for Ancient-Modern Chinese translation. - Kexin Yang 002; Dayiheng Liu; Qian Qu; Yongsheng Sang; Jiancheng Lv 001 (Neural Comput. Appl., 2021)

Effective DemeapexNet: Revealing Spontaneous Facial Micro-Expressions. - Md. Sajjatul Islam; Weiqiang Jiang; Jiancheng Lv 001; Adam A. Q. Mohammed; Yongsheng Sang (ICCDA, 2022)

A neural network learning algorithm for highly imbalanced data classification. - Zhan ao Huang; Yongsheng Sang; Yanan Sun 001; Jiancheng Lv 001 (Inf. Sci., 2022)

Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition. - Adam A. Q. Mohammed; Jiancheng Lv 001; Md. Sajjatul Islam; Yongsheng Sang (J. Ambient Intell. Humaniz. Comput., 2023)

Neural network with absent minority class samples and boundary shifting for imbalanced data classification. - Zhan ao Huang; Yongsheng Sang; Yanan Sun 001; Jiancheng Lv 001 (Neural Comput. Appl., 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 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline. - Shengjia Chen; Luping Ji; Sicheng Zhu; Mao Ye 001; Haohao Ren; Yongsheng Sang (IEEE Trans. Geosci. Remote. Sens., 2024)

Neural Network With a Preference Sampling Paradigm for Imbalanced Data Classification. - Zhan ao Huang; Yongsheng Sang; Yanan Sun 001; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Neural Networks Learn Specified Information for Imbalanced Data Classification. - Zhan ao Huang; Yongsheng Sang; Yanan Sun 001; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2024)

Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection. - Shengjia Chen; Luping Ji; Shuang Peng; Sicheng Zhu; Mao Ye 001; Yongsheng Sang (IEEE Trans. Geosci. Remote. Sens., 2025)

Facial micro-expression recognition from videos through domain adaptation and multi-modal spatio-temporal feature ensemble. - Md. Sajjatul Islam; Yongsheng Sang; Adam A. Q. Mohammed; Jiancheng Lv 001 (Multim. Syst., 2025)