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Journal Articles
- 2024
[j4]Di Zang
, Yongjie Ding, Jiayi Zhao, Keshuang Tang, Hong Zhu:
Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network. Neurocomputing 601: 128207 (2024)- [j3]Zeliang Zeng, Panke Qin, Yue Zhang, Yongli Tang, Shenjie Cheng, Sensen Tu, Yongjie Ding, Zhenlun Gao, Yaxing Liu:
An optimized LSTM network for improving arbitrage spread forecasting using ant colony cross-searching in the K-fold hyperparameter space. PeerJ Comput. Sci. 10: e2215 (2024) - 2022
- [j2]Di Zang, Yongjie Ding, Xiaoke Qu, Chenglin Miao, Xihao Chen, Junqi Zhang, Keshuang Tang:
Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. Sensors 22(7): 2744 (2022) - 2019
- [j1]Zhangjie Fu, Yiming Chen, Yongjie Ding, Daojing He:
Pollution Source Localization Based on Multi-UAV Cooperative Communication. IEEE Access 7: 29304-29312 (2019)
Conference and Workshop Papers
- 2022
- [c2]Di Zang, Yongjie Ding, Xiaoke Qu, Xihao Chen, Keshuang Tang, Junqi Zhang:
Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. ICBDC 2022: 14-19 - [c1]Di Zang, Xiaoke Qu, Yongjie Ding, Xihao Chen, Keshuang Tang, Junqi Zhang:
Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. ICBDC 2022: 51-57
Coauthor Index
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