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+
Scientific Research
Working-Papers
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Paper Publications
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杨敏. STDA: Spatio-Temporal Deviation Alignment Learning for Cross-city Fine-grained Urban Flow Inference. TKDE, 2025.
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牟文芊. GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation. NEURAL NETWORKS, 2025.
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郑晓. Point Cloud Pre-training with Diffusion Models. 2025.
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宫永顺. Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting. TKDE, 2025.
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李晓宇. Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. TKDE, 2025.
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黄瑾. Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Transactions on Multimedia, 2025.
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余飘. Enhancing origin–destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution. Expert Systems with Applications, 2025.
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安洋. Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. TKDE, 2025.
Patents
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Research Team
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