| The Application of Stock Index Price Prediction with Neural Network P Gao, R Zhang, X Yang Mathematical and Computational Applications 25 (3), 53, 2020 | 154 | 2020 |
| 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 | 133 | 2023 |
| 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 | 78 | 2022 |
| Divide and conquer: 3d point cloud instance segmentation with point-wise binarization W Zhao, Y Yan, C Yang, J Ye, X Yang, K Huang Proceedings of the IEEE/CVF International Conference on Computer Vision, 562-571, 2023 | 52 | 2023 |
| 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 | 48 | 2023 |
| Deep learning-assisted ultra-accurate smartphone testing of paper-based colorimetric ELISA assays S Duan, T Cai, J Zhu, X Yang, EG Lim, K Huang, K Hoettges, Q Zhang, ... Analytica Chimica Acta 1248, 340868, 2023 | 43 | 2023 |
| Rethinking Multi-domain Generalization with A General Learning Objective Z Tan, X Yang, K Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 42 | 2024 |
| 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 | 40 | 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 | 35 | 2022 |
| 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 | 34 | 2023 |
| Machine Learning Methods in Skin Disease Recognition: A Systematic Review J Sun, K Yao, G Huang, C Zhang, M Leach, K Huang, X Yang Processes 11 (4), 1003, 2023 | 33 | 2023 |
| Outpainting by queries K Yao, P Gao, X Yang, J Sun, R Zhang, K Huang European Conference on Computer Vision, 153-169, 2022 | 33 | 2022 |
| 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 | 27 | 2017 |
| A novel deep density model for unsupervised learning X Yang, K Huang, R Zhang, JY Goulermas Cognitive Computation 11 (6), 778-788, 2019 | 24 | 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 | 23 | 2018 |
| 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 | 23* | 2016 |
| Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation Z Tan, X Yang, Z Ye, Q Wang, Y Yan, A Nguyen, K Huang Pattern Recognition 144, 109883, 2023 | 21* | 2023 |
| Unraveling Batch Normalization for Realistic Test-Time Adaptation Z Su, J Guo, K Yao, X Yang, Q Wang, K Huang Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 15136 …, 2024 | 14 | 2024 |
| Po3ad: Predicting point offsets toward better 3d point cloud anomaly detection J Ye, W Zhao, X Yang, G Cheng, K Huang Proceedings of the Computer Vision and Pattern Recognition Conference, 1353-1362, 2025 | 12 | 2025 |
| SaliencyCut: Augmenting plausible anomalies for anomaly detection J Ye, Y Hu, X Yang, QF Wang, C Huang, K Huang Pattern Recognition 153, 110508, 2024 | 11 | 2024 |
Kaizhu HuangProfessor, Duke Kunshan UniversityVerified email at dukekunshan.edu.cn
