Zongxia Xie

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 19

Top Topics

Ensemble Learning

Hierarchical Classification

Semantic Segmentation

Top Venues

Int. J. Mach. Learn. Cybern.

Publications

Kaidi Hu, Zongxia Xie, Qinghua Hu
Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. 146 (2024)
Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR (2024)
Kaidi Hu, Zongxia Xie, Qinghua Hu
Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation. Comput. Graph. 118 (2024)
Kaidi Hu, Zongxia Xie, Qinghua Hu
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation. Int. J. Mach. Learn. Cybern. 15 (7) (2024)
Haoyu Wang, Zongxia Xie, Meiyao Liu, Canhua Guan
AFRF: Angle Feature Retrieval Based Popularity Forecasting. CIKM (2023)
Kun Cao, Zongxia Xie
Uncertainty prediction and calibration using multi-expert gating mechanism. IJCNN (2022)
Yanzhe Chen, Zongxia Xie
Multi-channel fusion graph neural network for multivariate time series forecasting. J. Comput. Sci. 64 (2022)
Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. 123 (2022)
Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li
ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing 423 (2021)
Xianzhao Chen, Hao Ni, Yi He, Kang Wang, Zejun Ma, Zongxia Xie
Emitting Word Timings with HMM-Free End-to-End System in Automatic Speech Recognition. Interspeech (2021)
Zongxia Xie, Renhui Li, Hui Hu
Interval prediction for time series based on LSTM and mixed Gaussian distribution. SMC (2020)
Zongxia Xie, Yingda Li
Large-scale support vector regression with budgeted stochastic gradient descent. Int. J. Mach. Learn. Cybern. 10 (6) (2019)
Zongxia Xie, Hao Wen
Composite Quantile Regression Long Short-Term Memory Network. ICANN (4) (2019)
Zongxia Xie, Yong Xu, Qinghua Hu
Uncertain data classification with additive kernel support vector machine. Data Knowl. Eng. 117 (2018)
Jian Guan, Xuan Wang, Zongxia Xie, Shuhan Qi, Wenwu Wang
Joint L1-L2 Regularisation for Blind Speech Deconvolution. PCM (1) (2017)
Chengkai Zhu, Yucan Zhou, Zongxia Xie
A Pixel-to-Pixel Convolutional Neural Network for Single Image Dehazing. ICONIP (3) (2017)
Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu
Locally Weighted Ensemble Learning for Regression. PAKDD (1) (2016)
Hongmei Tian, Bo Peng, Tianrui Li, Zongxia Xie
基于监督学习的日冕暗化检测与提取算法 (Coronal Dimming Detecting and Extracting Algorithm Based on Supervised Learning). 计算机科学 42 (5) (2015)
Shiguang Zhang, Qinghua Hu, Zongxia Xie, Ju-Sheng Mi
Kernel ridge regression for general noise model with its application. Neurocomputing 149 (2015)
Qinghua Hu, Shiguang Zhang, Zongxia Xie, Ju-Sheng Mi, Jie Wan
Noise model based v-support vector regression with its application to short-term wind speed forecasting. Neural Networks 57 (2014)
Zongxia Xie, Yong Xu
Sparse group LASSO based uncertain feature selection. Int. J. Mach. Learn. Cybern. 5 (2) (2014)
Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu
Margin distribution based bagging pruning. Neurocomputing 85 (2012)
Zongxia Xie, Yong Xu, Qinghua Hu
Visual Object Recognition with Bagging of One Class Support Vector Machines. IBICA (2011)
Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu
Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing 74 (10) (2011)
Qinghua Hu, Zongxia Xie, Daren Yu
Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures". IEEE Trans. Fuzzy Syst. 16 (2) (2008)
Qinghua Hu, Daren Yu, Zongxia Xie
Neighborhood classifiers. Expert Syst. Appl. 34 (2) (2008)
Xueshen Sui, Qinghua Hu, Daren Yu, Zongxia Xie, Zhongying Qi
A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM. RSFDGrC (2007)
Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li
EROS: Ensemble rough subspaces. Pattern Recognit. 40 (12) (2007)
Qinghua Hu, Daren Yu, Zongxia Xie
Selecting Samples and Features for SVM Based on Neighborhood Model. RSFDGrC (2007)
Qinghua Hu, Zongxia Xie, Daren Yu
Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognit. 40 (12) (2007)
Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu
Consistency Based Attribute Reduction. PAKDD (2007)
Qinghua Hu, Daren Yu, Zongxia Xie, Jinfu Liu
Fuzzy Probabilistic Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 14 (2) (2006)
Zongxia Xie, Qinghua Hu, Daren Yu
Improved Feature Selection Algorithm Based on SVM and Correlation. ISNN (1) (2006)
Qinghua Hu, Daren Yu, Zongxia Xie
Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognit. Lett. 27 (5) (2006)
Zongxia Xie, Qinghua Hu, Daren Yu
Fuzzy Output Support Vector Machines for Classification. ICNC (3) (2005)
Qinghua Hu, Daren Yu, Zongxia Xie
Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. SDM (2005)