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宫永顺
-
教授
博士生导师
硕士生导师
- 任职 : CCF人工智能与模式识别专委会秘书
- 性别：男
- 毕业院校：悉尼科技大学 (UTS)
- 学历：研究生(博士)毕业
- 学位：工学博士学位
- 在职信息：在职
- 所在单位：软件学院
- 入职时间： 2021-02-08
- 办公地点：中国济南高新技术产业开发区舜华路1500号
- 联系方式：ysgong@sdu.edu.cn
- 电子邮箱：yongshun2512@hotmail.com
访问量：
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[1]
杨敏.
STDA: Spatio-Temporal Deviation Alignment Learning for Cross-city Fine-grained Urban Flow Inference.
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 inter.
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 Spatial.
2024.
-
[10]
孙天骜.
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Tem.
2024.
-
[11]
张大滨.
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images an.
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.
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[15]
.
Spatio-temporal fusion and contrastive learning for urban flow prediction.
Knowledge-Based Systems,
2023.
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[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.
