Yongliang Tang

According to our database, Yongliang Tang authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning.

Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding

CoRR, 2024

2020

Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single-Image Super-Resolution.

Yongliang Tang, Weiguo Gong, Xi Chen, Weihong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

3D Convolutional Neural Network based on memristor for video recognition.

Jiaqi Liu, Zhenghao Li, Yongliang Tang, Wei Hu, Jun Wu

Pattern Recognit. Lett., 2020

Deep residual networks with a fully connected reconstruction layer for single image super-resolution.

Yongliang Tang, Jiashui Huang, Faen Zhang, Weiguo Gong

Neurocomputing, 2020

2018

Combining sparse coding with structured output regression machine for single image super-resolution.

Yongliang Tang, Weiguo Gong, Qiane Yi, Weihong Li

Inf. Sci., 2018

Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution.

Yongliang Tang, Weiguo Gong, Xi Chen, Zhenghao Li, Weihong Li

CoRR, 2018

2017

Multi-layer strategy and reconstruction model with low rank and local rank regularizations for single image super-resolution.

Weiguo Gong, Qiane Yi, Yongliang Tang, Weihong Li

Signal Process. Image Commun., 2017

Room-Temperature Ammonia Sensor Based on ZnO Nanorods Deposited on ST-Cut Quartz Surface Acoustic Wave Devices.

Wei Li, Yuanjun Guo, Yongliang Tang, Xiaotao Zu, Jinyi Ma, Lu Wang, Yongqing Fu

Sensors, 2017

Combining edge difference with nonlocal self-similarity constraints for single image super-resolution.

Weiguo Gong, Yongliang Tang, Xuemei Chen, Qiane Yi, Weihong Li

Neurocomputing, 2017

Sparse Representation with Global and Nonlocal Self-similarity Prior for Single Image Super-Resolution.

Weiguo Gong, Xi Chen, Jinming Li, Yongliang Tang, Weihong Li

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017