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Yongshun Gong
Yongshun Gong
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
382018
e-RNSP: An efficient method for mining repetition negative sequential patterns
X Dong, Y Gong, L Cao
IEEE Transactions on Cybernetics 50, 2084 - 2096, 2020
352020
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
272018
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
242017
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
232020
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
192017
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
172015
Mining high utility sequential patterns with negative item values
T Xu, X Dong, J Xu, X Dong
International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017
162017
SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric
C Liu, X Dong, C Li, Y Li
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery …, 2015
162015
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
142020
Molecular design in drug discovery: a comprehensive review of deep generative models
Y Cheng, Y Gong, L Yuansheng, B Song, Q Zou
Briefings in Bioinformatics, 2021
132021
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
112014
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
82020
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
62021
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
62019
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
42021
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
42020
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
32020
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
32018
Regularized two granularity loss function for weakly supervised video moment retrieval
J Teng, X Lu, Y Gong, X Liu, X Nie, Y Yin
IEEE Transactions on Multimedia 24, 1141-1151, 2021
22021
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