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
- 所属院系：
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：6f4a8ee064076b8ec463a18bea826cbe736c2c9ec37f0419c653645225c6d0a81e1dae5844eabd110f72ad822bf0749c4de26049fe2f70c466d8bf3f69c8ab9ce25128cf5ebb4714086c50156816a25c61e2d20dcb32075fcfb7c50f87f29f86633c62e12c7a94b223e7b68cf8bead2893d3607701e071f40dcbcd32c3ff4d28
- 电子邮箱：2d5240cbd12eb9a0c34c97eb36f8304fcdac344b39a47edcdd455b294861aaa80a83ec9584744a9071e3c431f21f01231007c9454d708a453245dca89b6c5074504bda1c2a5b9579d9ba4198673b56abc673c47e7c579594e523cd0ddf90fda84d858d37219ed22a5a4435148b96801a79ebf92e810bb6deb1ad3853068a875d
访问量：
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[1]
.
Content-Aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification.
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025,
39,
17059-17067,
2025.
-
[2]
李泽辰.
Urban Region Embedding via Multi-View Contrastive Prediction.
AAAI,
2024.
-
[3]
张琳浩.
CODEV: Issue Resolving with Visual Data.
Findings of the Association for Computational Linguistics: ACL 2025,
2025.
-
[4]
王任.
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning.
Proceedings of the Computer Vision and Pattern Recognition Conference,
2025.
-
[5]
杨敏.
STDA: Spatio-Temporal Deviation Alignment Learning for Cross-city Fine-grained Urban Flow Inference.
TKDE,
2025.
-
[6]
牟文芊.
GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation.
NEURAL NETWORKS,
2025.
-
[7]
郑晓.
Point Cloud Pre-training with Diffusion Models.
CVPR 2024,
2024.
-
[8]
宫永顺.
Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting.
TKDE,
2024.
-
[9]
李晓宇.
Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
2025.
-
[10]
黄瑾.
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection.
IEEE Transactions on Multimedia,
2024.
-
[11]
余飘.
Enhancing origin–destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution.
Expert Systems with Applications,
2024.
-
[12]
安洋.
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction.
TKDE,
2025.
-
[13]
陈勐.
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology.
KDD,
2024.
-
[14]
孙天骜.
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity.
KDD,
2024.
-
[15]
张大滨.
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.
IJCAI,
2024.
-
[16]
贾宏伟.
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.
IJCAI,
2024.
-
[17]
张欣欣.
Spatio-Temporal Multi-Image Reflection Removal.
IEEE Signal Processing Letters,
31,
2345,
2024.
-
[18]
李晓宇.
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization.
ARTIFICIAL INTELLIGENCE,
2024.
-
[19]
.
Spatio-temporal fusion and contrastive learning for urban flow prediction.
Knowledge-Based Systems,
2023.
-
[20]
.
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction.
CIKM,
2023.