Spatiotemporal traffic matrix prediction: A deep learning approach with wavelet multiscale analysis. - Jianlong Zhao; Hua Qu; Jihong Zhao 001; Dingchao Jiang (Trans. Emerg. Telecommun. Technol., 2019)

Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction. - Jianlong Zhao; Hua Qu; Ji-hong Zhao 001; Hui-jun Dai; Dingchao Jiang (Trans. Emerg. Telecommun. Technol., 2020)

Aggregating multi-scale contextual features from multiple stages for semantic image segmentation. - Dingchao Jiang; Hua Qu; Ji-hong Zhao 001; Jianlong Zhao; Meng-Yen Hsieh (Connect. Sci., 2021)

Multi-level spatial attention network for image data segmentation. - Jun Guo; Zhixiong Jiang; Dingchao Jiang (Int. J. Embed. Syst., 2021)

An efficient transmission algorithm for power grid data suitable for autonomous multi-robot systems. - Xiaoyan Chen; Wei Liang 005; Xinlian Zhou; Dingchao Jiang; Xiaoyan Kui; Kuan-Ching Li (Inf. Sci., 2021)

Multi-level graph convolutional recurrent neural network for semantic image segmentation. - Dingchao Jiang; Hua Qu; Ji-hong Zhao 001; Jianlong Zhao; Wei Liang 005 (Telecommun. Syst., 2021)