| 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 | 50 | 2018 |
| 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 | 44 | 2020 |
| 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 | 39 | 2020 |
| 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 | 33 | 2021 |
| 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 | 29 | 2018 |
| 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 | 28 | 2017 |
| 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 | 23 | 2017 |
| 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 | 21 | 2017 |
| 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 | 20 | 2020 |
| 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 | 18 | 2015 |
| Geographical information enhanced cooperative localization in vehicular ad-hoc networks F Luo, S Wang, Y Gong, X Jing, L Zhang IEEE Signal Processing Letters 25 (4), 556-560, 2018 | 17 | 2018 |
| 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 | 16 | 2020 |
| 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 | 16 | 2015 |
| 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 | 12 | 2021 |
| 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 | 12 | 2014 |
| 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 | 10 | 2019 |
| 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 | 9 | 2021 |
| Exploring Domain-Invariant Parameters for Source Free Domain Adaptation F Wang, Z Han, Y Gong, Y Yin CVPR 2022, 2022 | 8 | 2022 |
| 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 | 7 | 2020 |
| 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 | 6 | 2021 |
Jian Zhang, PhDProfessor at University of Technology Sydney, AustraliaVerified email at uts.edu.au
