| Deep learning: fundamentals, theory and applications K Huang, A Hussain, QF Wang, R Zhang springer, 2019 | 114 | 2019 |
| Icdar 2019 robust reading challenge on reading chinese text on signboard R Zhang, Y Zhou, Q Jiang, Q Song, N Li, K Zhou, L Wang, D Wang, ... 2019 international conference on document analysis and recognition (ICDAR …, 2019 | 110 | 2019 |
| The application of stock index price prediction with neural network P Gao, R Zhang, X Yang Mathematical and Computational Applications 25 (3), 53, 2020 | 99 | 2020 |
| One class support vector machine for anomaly detection in the communication network performance data R Zhang, S Zhang, S Muthuraman, J Jiang Proceedings of the 5th conference on Applied electromagnetics, wireless and …, 2007 | 64 | 2007 |
| Combining wavelet analysis and Bayesian networks for the classification of auditory brainstem response R Zhang, G McAllister, B Scotney, S McClean, G Houston IEEE Transactions on Information Technology in Biomedicine 10 (3), 458-467, 2006 | 55 | 2006 |
| Network anomaly detection using one class support vector machine R Zhang, S Zhang, Y Lan, J Jiang Proceedings of the International MultiConference of Engineers and Computer …, 2008 | 48 | 2008 |
| Offline arabic handwriting recognition using deep machine learning: A review of recent advances R Ahmed, K Dashtipour, M Gogate, A Raza, R Zhang, K Huang, ... Advances in Brain Inspired Cognitive Systems: 10th International Conference …, 2020 | 35 | 2020 |
| Generative adversarial classifier for handwriting characters super-resolution Z Qian, K Huang, QF Wang, J Xiao, R Zhang Pattern Recognition 107, 107453, 2020 | 27 | 2020 |
| A novel deep density model for unsupervised learning X Yang, K Huang, R Zhang, JY Goulermas Cognitive Computation 11, 778-788, 2019 | 21 | 2019 |
| Learning latent features with infinite nonnegative binary matrix trifactorization X Yang, K Huang, R Zhang, A Hussain IEEE Transactions on Emerging Topics in Computational Intelligence 2 (6 …, 2018 | 21 | 2018 |
| W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks H Jiang, G Yang, K Huang, R Zhang Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 21 | 2018 |
| Joint learning of unsupervised dimensionality reduction and gaussian mixture model X Yang, K Huang, JY Goulermas, R Zhang Neural Processing Letters 45, 791-806, 2017 | 21 | 2017 |
| Persent 2.0: Persian sentiment lexicon enriched with domain-specific words K Dashtipour, A Raza, A Gelbukh, R Zhang, E Cambria, A Hussain Advances in Brain Inspired Cognitive Systems: 10th International Conference …, 2020 | 19 | 2020 |
| Field support vector regression H Jiang, K Huang, R Zhang Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 19 | 2017 |
| Learning from few samples with memory network S Zhang, K Huang, R Zhang, A Hussain Cognitive Computation 10, 15-22, 2018 | 17 | 2018 |
| Generalized image outpainting with U-transformer P Gao, X Yang, R Zhang, JY Goulermas, Y Geng, Y Yan, K Huang Neural Networks 162, 1-10, 2023 | 15 | 2023 |
| Towards better robust generalization with shift consistency regularization S Zhang, Z Qian, K Huang, Q Wang, R Zhang, X Yi International conference on machine learning, 12524-12534, 2021 | 15 | 2021 |
| Outpainting by queries K Yao, P Gao, X Yang, J Sun, R Zhang, K Huang European Conference on Computer Vision, 153-169, 2022 | 14 | 2022 |
| Explainable tensorized neural ordinary differential equations for arbitrary-step time series prediction P Gao, X Yang, R Zhang, K Huang, JY Goulermas IEEE Transactions on Knowledge and Data Engineering 35 (6), 5837-5850, 2022 | 14 | 2022 |
| ML-CGAN: conditional generative adversarial network with a meta-learner structure for high-quality image generation with few training data Y Ma, G Zhong, W Liu, Y Wang, P Jiang, R Zhang Cognitive Computation 13, 418-430, 2021 | 13 | 2021 |
