Xi Yang

According to our database, Xi Yang authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Multi-domain Generalization with A General Learning Objective.

Zhaorui Tan, Xi Yang, Kaizhu Huang

CoRR, 2024

Semantic-Aware Data Augmentation for Text-to-Image Synthesis.

Zhaorui Tan, Xi Yang, Kaizhu Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation.

Zhaorui Tan, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen, Kaizhu Huang

Pattern Recognit., December, 2023

Towards better long-tailed oracle character recognition with adversarial data augmentation.

Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas

Pattern Recognit., August, 2023

Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.

Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang

IEEE J. Biomed. Health Informatics, July, 2023

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., June, 2023

Generalized image outpainting with U-transformer.

Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang

Neural Networks, May, 2023

Unraveling Batch Normalization for Realistic Test-Time Adaptation.

Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang

CoRR, 2023

SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection.

Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang

CoRR, 2023

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.

Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Bin Dong, Kaizhu Huang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adversarial Example Detection with Latent Representation Dynamic Prototype.

Taowen Wang, Zhuang Qian, Xi Yang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

PAG: Protecting Artworks from Personalizing Image Generative Models.

Zhaorui Tan, Siyuan Wang, Xi Yang, Kaizhu Huang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization.

Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation.

Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation.

Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation.

Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, Frans Coenen

IEEE J. Biomed. Health Informatics, 2022

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.

Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang

CoRR, 2022

Towards Better Text-Image Consistency in Text-to-Image Generation.

Zhaorui Tan, Zihan Ye, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang

CoRR, 2022

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables.

Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas

CoRR, 2022

Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.

Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang

CoRR, 2022

From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion.

Weiguang Zhao, Chaolong Yang, Jianan Ye, Yuyao Yan, Xi Yang, Kaizhu Huang

CoRR, 2022

Generalised Image Outpainting with U-Transformer.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng

CoRR, 2022

Outpainting by Queries.

Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

3D Random Occlusion and Multi-layer Projection for Deep Multi-camera Pedestrian Localization.

Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang

CoRR, 2020

2019

A Novel Deep Density Model for Unsupervised Learning.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas

Cogn. Comput., 2019

VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model.

Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.

Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain

IEEE Trans. Emerg. Top. Comput. Intell., 2018

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Neurocomputing, 2018

2017

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.

Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang

Neural Process. Lett., 2017

Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering.

Xi Yang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.

Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Unsupervised Dimensionality Reduction for Gaussian Mixture Model.

Xi Yang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 21st International Conference, 2014