Yongshun Gong (宫永顺)
Yongshun Gong (宫永顺)
Associate Professor at the School of Software, Shandong University, China
Verified email at sdu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Network-wide crowd flow prediction of sydney trains via customized online non-negative matrix factorization
Y Gong, Z Li, J Zhang, W Liu, Y Zheng, C Kirsch
Proceedings of the 27th ACM International Conference on Information and …, 2018
292018
e-NSPFI: Efficient mining negative sequential pattern from both frequent and infrequent positive sequential patterns
Y Gong, T Xu, X Dong, G Lv
International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017
182017
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage
X Dong, Y Gong, L Cao
Pattern Recognition 84, 13-27, 2018
172018
E-msNSP: Efficient negative sequential patterns mining based on multiple minimum supports
T Xu, X Dong, J Xu, Y Gong
International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017
172017
e-RNSP: An efficient method for mining repetition negative sequential patterns
X Dong, Y Gong, L Cao
IEEE Transactions on Cybernetics 50 (5), 2084 - 2096, 2020
162020
Research on typical algorithms in negative sequential pattern mining
Y Gong, C Liu, X Dong
The Open Automation and Control Systems Journal 7 (1), 2015
152015
Comparisons of typical algorithms in negative sequential pattern mining
X Dong, Y Gong, L Zhao
2014 IEEE Workshop on Electronics, Computer and Applications, 387-390, 2014
102014
Online Spatio-temporal Crowd Flow Distribution Prediction for Complex Metro System
Y Gong, Z Li, J Zhang, W Liu, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2020
92020
Potential passenger flow prediction: A novel study for urban transportation development
Y Gong, Z Li, J Zhang, W Liu, J Yi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4020-4027, 2020
62020
Field-wise Learning for Multi-field Categorical Data
Z Li, J Zhang, Y Gong, Y Yao, Q Wu
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
22020
Sample adaptive multiple kernel learning for failure prediction of railway points
Z Li, J Zhang, Q Wu, Y Gong, J Yi, C Kirsch
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
22019
Jianliang Xu et Yongshun Gong: E-msNSP: Efficient negative sequential patterns mining based on multiple minimum supports. Int
T Xu, X Dong
Journal of Pattern Recognition and Artificial Intelligence 31 (02), 1750003, 2017
22017
Xiangjun Dong et Guohua Lv: e-NSPFI: Efficient mining negative sequential pattern from both frequent and infrequent positive sequential patterns. Int
Y Gong, T Xu
Journal of Pattern Recognition and Artificial Intelligence 31 (02), 1750002, 2017
22017
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
Y Gong, Z Li, J Zhang, W Liu, B Chen, X Dong
Twenty-Ninth International Joint Conference on Artificial Intelligence, 1310 …, 2020
1*2020
Information Enhancement for Travelogues via a Hybrid Clustering Model
L Zhang, J Xu, J Zhang, Y Gong
2018 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2018
12018
Mining non-overlapping repetitive sequential patterns by improving GSP algorithm
Y Gong, X Dong, X Han, R Hou
The Open Cybernetics & Systemics Journal 9 (1), 2015
12015
Missing Value Imputation for Multi-view Urban Statistical Data via Spatial Correlation Learning.
Y Gong, Z Li, J Zhang, W Liu, Y Yilong, Y Zheng
IEEE Transactions Knowledge and Data Engineering, 2021
2021
Unsupervised Image and Text Fusion for Travel Information Enhancement
L Zhang, J Xu, Y Gong, L Yu, J Zhang
IEEE TRANSACTIONS ON MULTIMEDIA, 2021
2021
An Efficient Method for Modeling Non-occurring Behaviors by Negative Sequential Patterns with Loose Constraints
P Qiu, Y Gong, Y Zhao, L Cao, C Zhang, X Dong
IEEE Transactions on Neural Networks and Learning Systems, 2021
2021
Towards to Better Structure and Constraint to Mine Negative Sequential Patterns
X Gao, Y Gong, TT Xu, J Lu, Y Zhao, X Dong
IEEE Transactions on Neural Networks and Learning Systems, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20