Multi-waveform classification for seismic facies analysis C Song, Z Liu, Y Wang, X Li, G Hu Computers & Geosciences 101, 1-9, 2017 | 48 | 2017 |
A data-driven amplitude variation with offset inversion method via learned dictionaries and sparse representation B She, Y Wang, J Liang, Z Liu, C Song, G Hu Geophysics 83 (6), R725-R748, 2018 | 46 | 2018 |
Towards fine-grained temporal network representation via time-reinforced random walk Z Liu, D Zhou, Y Zhu, J Gu, J He Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4973-4980, 2020 | 25 | 2020 |
Towards explainable representation of time-evolving graphs via spatial-temporal graph attention networks Z Liu, D Zhou, J He Proceedings of the 28th ACM International Conference on Information and …, 2019 | 25 | 2019 |
Seismic impedance inversion using dictionary learning-based sparse representation and nonlocal similarity B She, Y Wang, Z Liu, H Cai, W Liu, G Hu Interpretation 7 (3), SE51-SE67, 2019 | 22 | 2019 |
Adaptive phase k-means algorithm for waveform classification C Song, Z Liu, Y Wang, F Xu, X Li, G Hu Exploration Geophysics 49 (2), 213-219, 2018 | 19 | 2018 |
Hubble: An industrial system for audience expansion in mobile marketing C Zhuang, Z Liu, Z Zhang, Y Tan, Z Wu, Z Liu, J Wei, J Gu, G Zhang, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 18 | 2020 |
Unsupervised seismic facies analysis with spatial constraints using regularized fuzzy c-means C Song, Z Liu, H Cai, Y Wang, X Li, G Hu Journal of Geophysics and Engineering 14 (6), 1535-1543, 2017 | 18 | 2017 |
A scalable attribute-aware network embedding system W Liu, Z Liu, F Yu, P Chen, T Suzumura, G Hu Neurocomputing 339, 279-291, 2019 | 15 | 2019 |
Prestack reflection pattern based seismic facies analysis C Song, Z Li, Z Liu, G Hu SEG International Exposition and Annual Meeting, SEG-2015-5813837, 2015 | 12 | 2015 |
Towards robust fairness-aware recommendation H Yang, Z Liu, Z Zhang, C Zhuang, X Chen Proceedings of the 17th ACM Conference on Recommender Systems, 211-222, 2023 | 9 | 2023 |
User abnormal behavior recommendation via multilayer network C Song, W Liu, Z Liu, X Liu PLoS One 14 (12), e0224684, 2019 | 9 | 2019 |
Interpretability-guided convolutional neural networks for seismic fault segmentation Z Liu, C Zhou, G Hu, C Song ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
Enhanced coherence using principal component analysis Z Liu, C Song, H Cai, X Yao, G Hu Interpretation 5 (3), T351-T359, 2017 | 8 | 2017 |
Seismic waveform classification via a new similarity measure C Song, Z Liu, B She, K Li, G Hu SEG International Exposition and Annual Meeting, D023S015R002, 2019 | 7 | 2019 |
Supervised seismic facies analysis using discrimination dictionary KH Li, B She, ZN Liu, M Su, G Hu SEG International Exposition and Annual Meeting, SEG-2018-2995192, 2018 | 7 | 2018 |
Pre-stack-texture-based reservoir characteristics and seismic facies analysis CY Song, ZN Liu, HP Cai, F Qian, GM Hu Applied Geophysics 13 (1), 69-79, 2016 | 7 | 2016 |
Adversarial learning for incentive optimization in mobile payment marketing X Chen, Z Liu, L Yu, S Li, L Gu, X Zeng, Y Tan, J Gu Proceedings of the 30th ACM international conference on information …, 2021 | 5 | 2021 |
Two‐dimensional dictionary learning for suppressing random seismic noise K Li, Z Liu, B She, H Cai, Y Wang, G Hu Geophysical Prospecting 69 (1), 85-100, 2021 | 5 | 2021 |
Two-stage audience expansion for financial targeting in marketing Z Liu, XF Niu, C Zhuang, Y Tan, Y Mu, J Gu, G Zhang Proceedings of the 29th ACM international conference on information …, 2020 | 5 | 2020 |