gong yongshun
Professor
Yongshun Gong is a Professor in the School of Software, Shandong University. He received his Ph.D. degree from University of Technology Sydney in 2020. He has got the support by Natural Science Foundation of Shandong Province for Excellent Young Scholars. His principal research interest covers data science, representation learning and machine learning, particularly in the areas of representation learning, spatio-temporal data mining, predictiv... More+
Paper Publications
-
[1] 杨敏. STDA: Spatio-Temporal Deviation Alignment Learning for Cross-city Fine-grained Urban Flow Inferen.... TKDE, 2025.
-
[2] 牟文芊. GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation. NEURAL NETWORKS, 2025.
-
[3] 郑晓. Point Cloud Pre-training with Diffusion Models. 2024.
-
[4] 宫永顺. Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting. TKDE, 2024.
-
[5] 李晓宇. Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. TKDE, 2025.
-
[6] 黄瑾. Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Transactions on Multimedia, 2024.
-
[7] 余飘. Enhancing origin–destination flow prediction via bi-directional spatio-temporal inference and in.... Expert Systems with Applications, 2024.
-
[8] 安洋. Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. TKDE, 2025.
-
[9] 陈勐. Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spat.... 2024.
-
[10] 孙天骜. Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and .... 2024.
-
[11] 张大滨. Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images.... 2024.
-
[12] 贾宏伟. Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. 2024.
-
[13] 张欣欣. Spatio-Temporal Multi-Image Reflection Removal. IEEE Signal Processing Letters, 31, 2345, 2024.
-
[14] 李晓宇. Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. ARTIFICIAL INTELLIGENCE, 2024.
-
[15] . Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowledge-Based Systems, 2023.
-
[16] . Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. 2023.
-
[17] 王瑞丰. Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. 2023.
-
[18] 黄瑾. Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE transactions on multimedia, 2024.
-
[19] 张欣欣. Two-phase Parametric Registration for Retinal Images. 2024.
-
[20] 王梦怡. Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement. 2023.