| The Application of Stock Index Price Prediction with Neural Network P Gao, R Zhang, X Yang Mathematical and Computational Applications 25 (3), 53, 2020 | 82 | 2020 |
| A novel deep density model for unsupervised learning X Yang, K Huang, R Zhang, JY Goulermas Cognitive Computation 11 (6), 778-788, 2019 | 21 | 2019 |
| A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation K Yao, Z Su, K Huang, X Yang, J Sun, A Hussain, F Coenen IEEE Journal of Biomedical and Health Informatics 26 (10), 4976-4986, 2022 | 20 | 2022 |
| 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 | 20 | 2018 |
| Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model X Yang, K Huang, JY Goulermas, R Zhang Neural Processing Letters 45 (3), 791-806, 2017 | 20 | 2017 |
| Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization X Yang, K Huang, R Zhang, A Hussain International Conference on Neural Information Processing, 587--596, 2016 | 20* | 2016 |
| Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation Z Su, K Yao, X Yang, Q Wang, J Sun, K Huang Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 10 | 2023 |
| 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 | 9 | 2023 |
| Outpainting by queries K Yao, P Gao, X Yang, J Sun, R Zhang, K Huang European Conference on Computer Vision, 153-169, 2022 | 9 | 2022 |
| Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-step Time Series Prediction P Gao, X Yang, K Huang, R Zhang, JY Goulermas IEEE Transactions on Knowledge and Data Engineering, 2022 | 8 | 2022 |
| Unsupervised dimensionality reduction for gaussian mixture model X Yang, K Huang, R Zhang International conference on neural information processing, 84-92, 2014 | 8 | 2014 |
| 3d random occlusion and multi-layer projection for deep multi-camera pedestrian localization R Qiu, M Xu, Y Yan, JS Smith, X Yang European Conference on Computer Vision, 695-710, 2022 | 7 | 2022 |
| A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems X Yang, K Huang, R Zhang, JY Goulermas, A Hussain Neurocomputing 312, 352-363, 2018 | 6 | 2018 |
| Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization W Zhao, Y Yan, C Yang, J Ye, X Yang, K Huang arXiv preprint arXiv:2207.11209, 2022 | 5 | 2022 |
| VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model X Yang, Y Yan, K Huang, R Zhang 2019 IEEE International Conference on Data Mining (ICDM), 688-697, 2019 | 5 | 2019 |
| Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering X Yang, K Huang, R Zhang International Conference on Neural Information Processing, 709-719, 2017 | 5 | 2017 |
| Towards better long-tailed oracle character recognition with adversarial data augmentation J Li, QF Wang, K Huang, X Yang, R Zhang, JY Goulermas Pattern Recognition 140, 109534, 2023 | 4 | 2023 |
| Sketch to Building: Architecture Image Translation Based on GAN S Jiang, Y Yan, Y Lin, X Yang, K Huang Journal of Physics: Conference Series 2278 (1), 012036, 2022 | 3 | 2022 |
| Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation C Yang, Y Yan, W Zhao, J Ye, X Yang, A Hussain, K Huang arXiv preprint arXiv:2212.06682, 2022 | 2 | 2022 |
| Introduction to Deep Density Models with Latent Variables X Yang, K Huang, R Zhang, A Hussain Deep Learning: Fundamentals, Theory and Applications, 1-29, 2019 | 2 | 2019 |
