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宫永顺
![](/system/resource/tsites/images/praise.png)
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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]
李晓宇.
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization.
ARTIFICIAL INTELLIGENCE,
2024.
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[2]
.
Spatio-temporal fusion and contrastive learning for urban flow prediction.
Knowledge-Based Systems,
2023.
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[3]
.
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction.
2023.
-
[4]
王瑞丰.
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.
2023.
-
[5]
黄瑾.
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection.
IEEE transactions on multimedia,
2024.
-
[6]
张欣欣.
Two-phase Parametric Registration for Retinal Images.
2024.
-
[7]
王梦怡.
Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement.
2023.
-
[8]
黄瑾.
Modeling Multiple Aesthetic Views for Series Photo Selection.
IEEE transactions on multimedia,
2023.
-
[9]
宫永顺.
Latent evolution model for change point detection in time-varying networks.
INFORMATION SCIENCES,
2023.
-
[10]
宫永顺.
Missingness-Pattern-Adaptive Learning With Incomplete Data.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
2023.
-
[11]
邴俊翔.
Pre-trained Semantic Embeddings for POI Categories Based on Multiple Contexts.
IEEE Transactions on Knowledge and Data Engineering,
2022.
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[12]
徐榕荟.
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.
ACM Transactions on Information Systems (TOIS),
41,
2023.
-
[13]
曲浩.
Forecasting Fine-grained Urban Flows via Spatio-temporal Contrastive Self-Supervision.
IEEE Transactions on Knowledge and Data Engineering,
1,
2022.
-
[14]
贺甜甜.
Exploring Linear Feature Disentanglement For Neural Networks.
2022.
-
[15]
黄瑾.
Series Photo Selection via Multi-view Graph Learning.
2022.
-
[16]
高欣明.
Toward to Better Structure and Constraint to Mine Negative Sequential Patterns.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
32,
2023.
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[17]
宫永顺.
Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step .
2022.
-
[18]
邱萍.
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose C.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
2021.
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[19]
宫永顺.
Missing Value Imputation for Multi-view Urban Statistical Data via Spatial Correlation Learning.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
2021.
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[20]
滕隽雅.
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval.
IEEE Transactions on Multimedia,
24,
1141,
2021.