Taisong Xiong

Chengdu University of Information Technology — China

Computer Science · Physical Sciences

10h-index494citations29works1.82yr avg
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Research Topics

Bayesian Methods and Mixture Models(11), Meteorological Phenomena and Simulations(8), Image Retrieval and Classification Techniques(7), Precipitation Measurement and Analysis(6), Medical Image Segmentation Techniques(5)

Publications29 total

Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data
Remote Sensing·2025· 1 citedOpen Access
Research on Case-Based Teaching of Digital Image Processing Implemented with Python Language
Scholars Journal of Arts Humanities and Social Sciences·2024Open Access
Enhancing severe weather predictions with the I-ConvGRU model: An iterative approach for radar echo time series through ConvGRU and RainNet integration
Journal of Hydroinformatics·2024Open Access
Spatiotemporal Feature Fusion Transformer for Precipitation Nowcasting via Feature Crossing
Remote Sensing·2024· 6 citedOpen Access
Adaptive Attentions Fusion Model for Weather Recognition
2023
ADASYN-LOF Algorithm for Imbalanced Tornado Samples
Atmosphere·2022· 17 citedOpen Access
A representation coefficient-based k-nearest centroid neighbor classifier
Expert Systems with Applications·2022· 64 cited
Radar Echo Spatiotemporal Sequence Prediction Using an Improved ConvGRU Deep Learning Model
Atmosphere·2022· 23 citedOpen Access
Precipitation NowcastingUsing Deep Learning with Pixel Classification
Journal of Physics Conference Series·2021· 1 citedOpen Access
Research on Python Language Teaching Based on Case
Scholars Journal of Arts Humanities and Social Sciences·2021Open Access
Contextual Sa-Attention Convolutional LSTM for Precipitation Nowcasting: A Spatiotemporal Sequence Forecasting View
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2021· 39 citedOpen Access
Image Extrapolation Based on Perceptual Loss and Style Loss
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering·2021
Large-Scale Face Image Retrieval Based on Hadoop and Deep Learning
2020· 1 cited
ADS-B Based Wind Speed Vector Inversion Algorithm
IEEE Access·2020· 10 citedOpen Access
Robust Student's-t mixture modelling via Markov random field and its application in image segmentation
International Journal of High Performance Computing and Networking·2018
Robust Student's-t mixture modelling via Markov random field and its application in image segmentation
International Journal of High Performance Computing and Networking·2018· 1 cited
A unified Bayesian mixture model framework via spatial information for grayscale image segmentation
Journal of Visual Communication and Image Representation·2016· 4 cited
Robust Markov Random Field Model for Image Segmentation
Lecture notes in electrical engineering·2016
Student-t Mixture Modelling for Image Segmentation with Markov Random Field
Lecture notes in electrical engineering·2016
Double Gaussian mixture model for image segmentation with spatial relationships
Journal of Visual Communication and Image Representation·2015· 15 cited
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Frequent Co-authors

Jianping Gou(7), Hao Wang(6), Yuanyuan Huang(5), Qiangyu Zeng(4), Yi Zhang(4), Lan Du(3), Jianxin He(3), Lei Zhang(2), Jinrong Hu(2), Yuanyuan Huang(2), Rong Yang(2), Zhihao Liu(2), Hongfei Jin(2), Jing Zeng(2), Xin Luo(2), Yuhong Zhang(1), Kuang Yin(1), Liyuan Sun(1), Hongxing Ma(1), Weihua Ou(1)