Xi Yang
Cited by
Cited by
The Application of Stock Index Price Prediction with Neural Network
P Gao, R Zhang, X Yang
Mathematical and Computational Applications 25 (3), 53, 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
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
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
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
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
A novel deep density model for unsupervised learning
X Yang, K Huang, R Zhang, JY Goulermas
Cognitive Computation 11 (6), 778-788, 2019
Outpainting by queries
K Yao, P Gao, X Yang, J Sun, R Zhang, K Huang
European Conference on Computer Vision, 153-169, 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
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
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
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
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
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
Unsupervised dimensionality reduction for gaussian mixture model
X Yang, K Huang, R Zhang
International conference on neural information processing, 84-92, 2014
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
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
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
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
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
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