Mining actionable combined high utility incremental and associated sequential patterns von Min Shi, Yongshun Gong, Tiantian Xu, Long Zhao

Volltext

Mining actionable combined high utility incremental and associated sequential patterns von Shi, Min, Gong, Yongshun, Xu, Tiantian, Zhao, Long

Volltext

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System von Gong, Yongshun, Li, Zhibin, Zhang, Jian, Liu, Wei, Zheng, Yu

Volltext

Molecular design in drug discovery: a comprehensive review of deep generative models von Cheng, Yu, Gong, Yongshun, Liu, Yuansheng, Song, Bosheng, Zou, Quan

Volltext

F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage von Dong, Xiangjun, Gong, Yongshun, Cao, Longbing

Volltext

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns von Dong, Xiangjun, Gong, Yongshun, Cao, Longbing

Volltext

Latent evolution model for change point detection in time-varying networks von Gong, Yongshun, Dong, Xue, Zhang, Jian, Chen, Meng

Volltext

Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning von Gong, Yongshun, Li, Zhibin, Zhang, Jian, Liu, Wei, Yin, Yilong, Zheng, Yu

Volltext

Spatio-Temporal Multi-Image Reflection Removal von Zhang, Xinxin, Shang, Wenjing, Wang, Qiangchang, Gong, Yongshun, Liu, Qifang

Volltext

SSR-DTA: Substructure-aware multi-layer graph neural networks for drug–target binding affinity prediction von Liu, Yuansheng, Xia, Xinyan, Gong, Yongshun, Song, Bosheng, Zeng, Xiangxiang

Volltext

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints von Qiu, Ping, Gong, Yongshun, Zhao, Yuhai, Cao, Longbing, Zhang, Chengqi, Dong, Xiangjun

Volltext

Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision von Qu, Hao, Gong, Yongshun, Chen, Meng, Zhang, Junbo, Zheng, Yu, Yin, Yilong

Volltext

Toward Better Structure and Constraint to Mine Negative Sequential Patterns von Gao, Xinming, Gong, Yongshun, Xu, TianTian, Lu, Jinhu, Zhao, Yuhai, Dong, Xiangjun

Volltext

Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information von Zhang, Xu, Cao, Mengxin, Gong, Yongshun, Wu, Xiaoming, Dong, Xiangjun, Guo, Ying, Zhao, Long, Zhang, Chengqi

Volltext

Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting von Gong, Yongshun, He, Tiantian, Chen, Meng, Wang, Bin, Nie, Liqiang, Yin, Yilong

Volltext

scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data von Dong, Shujie, Liu, Yuansheng, Gong, Yongshun, Dong, Xiangjun, Zeng, Xiangxiang

Volltext

Sequence Alignment/Map format: a comprehensive review of approaches and applications von Liu, Yuansheng, Shen, Xiangzhen, Gong, Yongshun, Liu, Yiping, Song, Bosheng, Zeng, Xiangxiang

Volltext

Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes von Zhang, Junjie, Zhang, Qiming, Gong, Yongshun, Zhang, Jian, Chen, Liang, Zeng, Dan

Volltext

Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts von Bing, Junxiang, Chen, Meng, Yang, Min, Huang, Weiming, Gong, Yongshun, Nie, Liqiang

Volltext

Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization von Li, Xiaoyu, Gong, Yongshun, Liu, Wei, Yin, Yilong, Zheng, Yu, Nie, Liqiang

Volltext