| A survey on ensemble learning X Dong, Z Yu, W Cao, Y Shi, Q Ma Frontiers of Computer Science 14, 241-258, 2020 | 1157 | 2020 |
| Learning representations for time series clustering Q Ma, J Zheng, S Li, GW Cottrell Advances in neural information processing systems (NeurIPS 2019) 32, 2019 | 191 | 2019 |
| Functional echo state network for time series classification Q Ma, L Shen, W Chen, J Wang, J Wei, Z Yu Information Sciences 373, 1-20, 2016 | 97 | 2016 |
| Chaotic time series prediction based on evolving recurrent neural networks QL Ma, QL Zheng, H Peng, TW Zhong, LQ Xu 2007 international conference on machine learning and cybernetics 6, 3496-3500, 2007 | 83 | 2007 |
| DeePr-ESN: A deep projection-encoding echo-state network Q Ma, L Shen, GW Cottrell Information Sciences 511, 152-171, 2020 | 72 | 2020 |
| Hierarchy-aware label semantics matching network for hierarchical text classification H Chen, Q Ma, Z Lin, J Yan Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 64 | 2021 |
| Embedding-based product retrieval in taobao search S Li, F Lv, T Jin, G Lin, K Yang, X Zeng, XM Wu, Q Ma Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 60 | 2021 |
| Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network M Qian-Li, Z Qi-Lun, P Hong, Z Tan-Wei, Q Jiang-Wei Chinese Physics B 17 (2), 536, 2008 | 57 | 2008 |
| End-to-end incomplete time-series modeling from linear memory of latent variables Q Ma, S Li, L Shen, J Wang, J Wei, Z Yu, GW Cottrell IEEE transactions on cybernetics 50 (12), 4908-4920, 2019 | 54 | 2019 |
| ASM: An adaptive simplification method for 3D point-based models Z Yu, HS Wong, H Peng, Q Ma Computer-Aided Design 42 (7), 598-612, 2010 | 48 | 2010 |
| Convolutional multitimescale echo state network Q Ma, E Chen, Z Lin, J Yan, Z Yu, WWY Ng IEEE Transactions on Cybernetics 51 (3), 1613-1625, 2019 | 47 | 2019 |
| Multi-view denoising graph auto-encoders on heterogeneous information networks for cold-start recommendation J Zheng, Q Ma, H Gu, Z Zheng Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 46 | 2021 |
| Deep-esn: A multiple projection-encoding hierarchical reservoir computing framework Q Ma, L Shen, GW Cottrell arXiv preprint arXiv:1711.05255, 2017 | 46 | 2017 |
| Time series anomaly detection with multiresolution ensemble decoding L Shen, Z Yu, Q Ma, JT Kwok Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9567-9575, 2021 | 45 | 2021 |
| Dynamic multi-scale convolutional neural network for time series classification B Qian, Y Xiao, Z Zheng, M Zhou, W Zhuang, S Li, Q Ma IEEE access 8, 109732-109746, 2020 | 43 | 2020 |
| Adversarial joint-learning recurrent neural network for incomplete time series classification Q Ma, S Li, GW Cottrell IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 1765-1776, 2020 | 39 | 2020 |
| Global-local mutual attention model for text classification Q Ma, L Yu, S Tian, E Chen, WWY Ng IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 39 | 2019 |
| Adversarial dynamic shapelet networks Q Ma, W Zhuang, S Li, D Huang, G Cottrell Proceedings of the AAAI conference on artificial intelligence 34 (04), 5069-5076, 2020 | 36 | 2020 |
| Self-supervised time series clustering with model-based dynamics Q Ma, S Li, W Zhuang, J Wang, D Zeng IEEE Transactions on Neural Networks and Learning Systems 32 (9), 3942-3955, 2020 | 35 | 2020 |
| Long-short term echo state network for time series prediction K Zheng, B Qian, S Li, Y Xiao, W Zhuang, Q Ma IEEE Access 8, 91961-91974, 2020 | 33 | 2020 |
Jia WeiSouth China University of TechnologyPotvrđena adresa e-pošte na scut.edu.cn
