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宫永顺
-
教授
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
- 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：ysgong@sdu.edu.cn
访问量：
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[1]
陈勐.
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial.
2024.
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[2]
孙天骜.
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Tem.
2024.
-
[3]
张大滨.
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images an.
2024.
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[4]
贾宏伟.
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.
2024.
-
[5]
张欣欣.
Spatio-Temporal Multi-Image Reflection Removal.
IEEE Signal Processing Letters,
31,
2345,
2024.
-
[6]
李晓宇.
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization.
ARTIFICIAL INTELLIGENCE,
2024.
-
[7]
.
Spatio-temporal fusion and contrastive learning for urban flow prediction.
Knowledge-Based Systems,
2023.
-
[8]
.
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction.
2023.
-
[9]
王瑞丰.
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.
2023.
-
[10]
黄瑾.
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection.
IEEE transactions on multimedia,
2024.
-
[11]
张欣欣.
Two-phase Parametric Registration for Retinal Images.
2024.
-
[12]
王梦怡.
Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement.
2023.
-
[13]
黄瑾.
Modeling Multiple Aesthetic Views for Series Photo Selection.
IEEE transactions on multimedia,
2023.
-
[14]
宫永顺.
Latent evolution model for change point detection in time-varying networks.
Information Sciences,
2023.
-
[15]
宫永顺.
Missingness-Pattern-Adaptive Learning With Incomplete Data.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
2023.
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[16]
邴俊翔.
Pre-trained Semantic Embeddings for POI Categories Based on Multiple Contexts.
IEEE Transactions on Knowledge and Data Engineering,
2022.
-
[17]
徐榕荟.
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.
ACM Transactions on Information Systems (TOIS),
41,
2023.
-
[18]
曲浩.
Forecasting Fine-grained Urban Flows via Spatio-temporal Contrastive Self-Supervision.
IEEE Transactions on Knowledge and Data Engineering,
1,
2022.
-
[19]
贺甜甜.
Exploring Linear Feature Disentanglement For Neural Networks.
2022.
-
[20]
黄瑾.
Series Photo Selection via Multi-view Graph Learning.
2022.
