SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction. - Yi Wang 132; Di Zhu 004 (GeoAI@SIGSPATIAL, 2022)

Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting. - Yi Wang 132; Changfeng Jing (ISPRS Int. J. Geo Inf., 2022)

Attention based spatiotemporal graph attention networks for traffic flow forecasting. - Yi Wang 132; Changfeng Jing; Shishuo Xu; Tao Guo (Inf. Sci., 2022)

Adaptive Spatiotemporal InceptionNet for Traffic Flow Forecasting. - Yi Wang 132; Changfeng Jing; Wei Huang 014; Shiyuan Jin; Xinxin Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Advances in spatiotemporal graph neural network prediction research. - Yi Wang 132 (Int. J. Digit. Earth, 2023)

Spatiotemporal Fusion Transformer for large-scale traffic forecasting. - Zhenghong Wang; Yi Wang 132; Furong Jia 001; Fan Zhang 011; Nikita Klimenko; Leye Wang; Zhengbing He; Zhou Huang; Yu Liu 003 (Inf. Fusion, 2024)

A lightweight multi-layer perceptron for efficient multivariate time series forecasting. - Zhenghong Wang; Sijie Ruan; Tianqiang Huang; Haoyi Zhou; Shanghang Zhang; Yi Wang 132; Leye Wang; Zhou Huang; Yu Liu 003 (Knowl. Based Syst., 2024)

A Transformer-Based Multimodal Model for Urban-Rural Fringe Identification. - Furong Jia 001; Quanhua Dong; Zhou Huang; Xiao-Jian Chen; Yi Wang 132; Xia Peng; Yuan Guo; Ruixian Ma; Fan Zhang 011; Yu Liu 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution. - Yi Wang 132; Shichao Jin; Zekun Yang; Hongcan Guan; Yu Ren 001; Kai Cheng; Xiaoqian Zhao; Xiaoqiang Liu; Mengxi Chen; Yu Liu 003; Qinghua Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

A deep multi-scale neural networks for crime hotspot mapping prediction. - Changfeng Jing; Xinxin Lv; Yi Wang 132; Mengjiao Qin; Shiyuan Jin; Sensen Wu; Gaoran Xu (Comput. Environ. Urban Syst., 2024)

A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation. - Yi Wang 132; Di Zhu 004 (Inf. Fusion, 2024)

Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers. - Yong Li; Yi Wang 132; Shuai Shi; Jiaming Wang; Ruiyang Wang; Mengqian Lu; Fan Zhang 011 (Neural Networks, 2025)

Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources. - Zhenghong Wang; Yi Wang 132; Furong Jia 001; Kun Liu; Yishan Zhang; Fan Zhang 011; Zhou Huang; Yu Liu 003 (Neural Networks, 2025)

A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction. - Yi Wang 132; Zhenghong Wang; Fan Zhang 011; Chengling Tang; Chaogui Kang; Di Zhu 004; Zhongfu Ma; Sijie Ruan; Weiyu Zhang; Yu Zheng 004; Philip S. Yu; Yu Liu 003 (CoRR, 2025)

Hierarchical Gating Network for Cross-Domain Sequential Recommendation. - Shuliang Wang 001; Jiabao Zhu; Yi Wang 132; Chen Ma 001; Xin Zhao 018; Yansen Zhang; Ziqiang Yuan; Sijie Ruan (ACM Trans. Inf. Syst., 2025)