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 | 99 | 2021 |
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 34 (2), 865-880, 2020 | 87 | 2020 |
Exploring domain-invariant parameters for source free domain adaptation F Wang, Z Han, Y Gong, Y Yin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 68 | 2022 |
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 | 66 | 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 | 62 | 2020 |
Rikinet: Reading wikipedia pages for natural question answering D Liu, Y Gong, J Fu, Y Yan, J Chen, D Jiang, J Lv, N Duan arXiv preprint arXiv:2004.14560, 2020 | 58 | 2020 |
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 | 42 | 2018 |
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 | 41 | 2020 |
Missing value imputation for multi-view urban statistical data via spatial correlation learning Y Gong, Z Li, J Zhang, W Liu, Y Yin, Y Zheng IEEE Transactions on Knowledge and Data Engineering 35 (1), 686-698, 2021 | 36 | 2021 |
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 | 34 | 2020 |
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 | 30 | 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 | 27* | 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 | 26 | 2017 |
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision H Qu, Y Gong, M Chen, J Zhang, Y Zheng, Y Yin IEEE Transactions on Knowledge and Data Engineering, 2022 | 23 | 2022 |
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 | 21 | 2018 |
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 | 19 | 2019 |
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 | 18 | 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 |
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 |
Private-library-oriented code generation with large language models D Zan, B Chen, Y Gong, J Cao, F Zhang, B Wu, B Guan, Y Yin, Y Wang arXiv preprint arXiv:2307.15370, 2023 | 15 | 2023 |