Feature Extraction of Load Curve Based on Autoencoder Network. - Xiangyuan Kong; Rongheng Lin; Hua Zou (ICCT, 2020)

STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting. - Xiangyuan Kong; Weiwei Xing; Xiang Wei 007; Peng Bao; Jian Zhang; Wei Lu 010 (IEEE Access, 2020)

FMixCutMatch for semi-supervised deep learning. - Xiang Wei 007; Xiaotao Wei; Xiangyuan Kong; Siyang Lu; Weiwei Xing; Wei Lu 010 (Neural Networks, 2021)

Adaptive spatial-temporal graph attention networks for traffic flow forecasting. - Xiangyuan Kong; Jian Zhang; Xiang Wei 007; Weiwei Xing; Wei Lu 010 (Appl. Intell., 2022)

STGs: construct spatial and temporal graphs for citywide crowd flow prediction. - Jintao Xing; Xiangyuan Kong; Weiwei Xing; Xiang Wei 007; Jian Zhang; Wei Lu 010 (Appl. Intell., 2022)

3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning. - Xiangyuan Kong; Xiang Wei 007; Xiaoyu Liu; Jingjie Wang; Siyang Lu; Weiwei Xing; Wei Lu 010 (Knowl. Based Syst., 2022)

JointGraph: joint pre-training framework for traffic forecasting with spatial-temporal gating diffusion graph attention network. - Xiangyuan Kong; Xiang Wei 007; Jian Zhang; Weiwei Xing; Wei Lu 010 (Appl. Intell., 2023)

FGBC: Flexible graph-based balanced classifier for class-imbalanced semi-supervised learning. - Xiangyuan Kong; Xiang Wei 007; Xiaoyu Liu; Jingjie Wang; Weiwei Xing; Wei Lu 010 (Pattern Recognit., 2023)

Adaptive graph generation based on generalized pagerank graph neural network for traffic flow forecasting. - Xiaoyu Guo; Xiangyuan Kong; Weiwei Xing; Xiang Wei 007; Jian Zhang; Wei Lu 010 (Appl. Intell., 2023)