Pollution Source Localization Based on Multi-UAV Cooperative Communication. - Zhangjie Fu; Yiming Chen; Yongjie Ding; Daojing He (IEEE Access, 2019)

Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. - Di Zang; Yongjie Ding; Xiaoke Qu; Xihao Chen; Keshuang Tang; Junqi Zhang (ICBDC, 2022)

Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. - Di Zang; Xiaoke Qu; Yongjie Ding; Xihao Chen; Keshuang Tang; Junqi Zhang (ICBDC, 2022)

Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. - Di Zang; Yongjie Ding; Xiaoke Qu; Chenglin Miao; Xihao Chen; Junqi Zhang; Keshuang Tang (Sensors, 2022)

Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network. - Di Zang; Yongjie Ding; Jiayi Zhao; Keshuang Tang; Hong Zhu (Neurocomputing, 2024)

An optimized LSTM network for improving arbitrage spread forecasting using ant colony cross-searching in the K-fold hyperparameter space. - Zeliang Zeng; Panke Qin; Yue Zhang; Yongli Tang; Shenjie Cheng; Sensen Tu; Yongjie Ding; Zhenlun Gao; Yaxing Liu (PeerJ Comput. Sci., 2024)

Improving long short-term memory (LSTM) networks for arbitrage spread forecasting: integrating cuckoo and zebra algorithms in chaotic mapping space for enhanced accuracy. - Mingfu Zhu; Yaxing Liu; Panke Qin; Yongjie Ding; Zhongqi Cai; Zhenlun Gao; Bo Ye; Haoran Qi; Shenjie Cheng; Zeliang Zeng (PeerJ Comput. Sci., 2024)

Geometric Algebra Multi-Order Graph Neural Network for Traffic Prediction. - Di Zang; Zhe Cui; Zengqiang Wang; Juntao Lei; Yongjie Ding; Chenguang Wei; Junqi Zhang (IEEE Trans. Big Data, 2025)