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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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[21]
黄瑾.
Modeling Multiple Aesthetic Views for Series Photo Selection.
IEEE transactions on multimedia,
2023.
-
[22]
宫永顺.
Latent evolution model for change point detection in time-varying networks.
Information Sciences,
2023.
-
[23]
宫永顺.
Missingness-Pattern-Adaptive Learning With Incomplete Data.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
2023.
-
[24]
邴俊翔.
Pre-trained Semantic Embeddings for POI Categories Based on Multiple Contexts.
IEEE Transactions on Knowledge and Data Engineering,
2022.
-
[25]
徐榕荟.
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.
ACM Transactions on Information Systems (TOIS),
41,
2023.
-
[26]
曲浩.
Forecasting Fine-grained Urban Flows via Spatio-temporal Contrastive Self-Supervision.
IEEE Transactions on Knowledge and Data Engineering,
1,
2022.
-
[27]
贺甜甜.
Exploring Linear Feature Disentanglement For Neural Networks.
2022.
-
[28]
黄瑾.
Series Photo Selection via Multi-view Graph Learning.
2022.
-
[29]
高欣明.
Toward to Better Structure and Constraint to Mine Negative Sequential Patterns.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
32,
2023.
-
[30]
宫永顺.
Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step .
2022.
-
[31]
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.
-
[32]
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.
-
[33]
滕隽雅.
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval.
IEEE Transactions on Multimedia,
24,
1141,
2021.
