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2020 – today
- 2026
[j24]Dongyue Chen
, Zongxia Xie, Wenlong Yu, Qinghua Hu:
Long-Tail Class Incremental Learning via Bias Calibration With Application to Continuous Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 37(1): 204-218 (2026)- 2025
- [j23]Yuxuan Zhao, Zongxia Xie, Zheng Wang, Yanru Sun, Haoyu Xing, Tianyu Jia, Dilfira Kudrat:
RecMamba: Reconstruction-augmented dual-path Mamba for time series forecasting. Knowl. Based Syst. 331: 114801 (2025) - [j22]Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu:
PPGF: Probability Pattern-Guided Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14790-14801 (2025) - [c21]Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu:
Hierarchical Classification Auxiliary Network for Time Series Forecasting. AAAI 2025: 20743-20751 - [c20]Canhua Guan, Zongxia Xie, Haoyu Wang, Haoyu Xing:
Frequency-Domain Popularity Forecasting with Shape-Based Retrieval. ICASSP 2025: 1-5 - [c19]Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu:
Patch-wise Structural Loss for Time Series Forecasting. ICML 2025 - [c18]Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao:
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. ICML 2025 - [c17]Ping Kong, Ruonan Liu, Zongxia Xie, Zhibo Pang:
VLN-KHVR: Knowledge-And-History Aware Visual Representation for Continuous Vision-and-Language Navigation. ICRA 2025: 5236-5243 - [c16]Shuai Wu, Ruonan Liu, Zongxia Xie, Zhibo Pang:
Map-SemNav: Advancing Zero-Shot Continuous Vision-and-Language Navigation Through Visual Semantics and Map Integration. ICRA 2025: 7577-7584 - [i8]Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu:
PPGF: Probability Pattern-Guided Time Series Forecasting. CoRR abs/2502.12802 (2025) - [i7]Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu:
Patch-wise Structural Loss for Time Series Forecasting. CoRR abs/2503.00877 (2025) - [i6]Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu:
Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis. CoRR abs/2503.02609 (2025) - [i5]Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao:
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. CoRR abs/2503.08271 (2025) - [i4]Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu:
Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. CoRR abs/2508.07195 (2025) - [i3]Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin:
SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting. CoRR abs/2512.14718 (2025) - 2024
- [j21]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: 220-232 (2024) - [j20]Kaidi Hu, Zongxia Xie, Qinghua Hu:
Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. 146: 105053 (2024) - [j19]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): 2987-3003 (2024) - [j18]Dongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding:
Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18635-18648 (2024) - [i2]Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu:
Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR abs/2405.18975 (2024) - [i1]Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu:
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR abs/2410.09836 (2024) - 2023
- [c15]Haoyu Wang, Zongxia Xie, Meiyao Liu, Canhua Guan:
AFRF: Angle Feature Retrieval Based Popularity Forecasting. CIKM 2023: 2606-2615 - 2022
- [j17]Yanzhe Chen, Zongxia Xie:
Multi-channel fusion graph neural network for multivariate time series forecasting. J. Comput. Sci. 64: 101862 (2022) - [j16]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: 108383 (2022) - [c14]Kun Cao, Zongxia Xie:
Uncertainty prediction and calibration using multi-expert gating mechanism. IJCNN 2022: 1-9 - 2021
- [j15]Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li:
ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing 423: 353-361 (2021) - [c13]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: 2571-2575 - 2020
- [c12]Zongxia Xie, Renhui Li, Hui Hu:
Interval prediction for time series based on LSTM and mixed Gaussian distribution. SMC 2020: 2648-2655
2010 – 2019
- 2019
- [j14]Zongxia Xie, Yingda Li:
Large-scale support vector regression with budgeted stochastic gradient descent. Int. J. Mach. Learn. Cybern. 10(6): 1529-1541 (2019) - [c11]Zongxia Xie, Hao Wen:
Composite Quantile Regression Long Short-Term Memory Network. ICANN (4) 2019: 513-524 - 2018
- [j13]Zongxia Xie, Yong Xu, Qinghua Hu:
Uncertain data classification with additive kernel support vector machine. Data Knowl. Eng. 117: 87-97 (2018) - 2017
- [c10]Chengkai Zhu, Yucan Zhou, Zongxia Xie:
A Pixel-to-Pixel Convolutional Neural Network for Single Image Dehazing. ICONIP (3) 2017: 270-279 - [c9]Jian Guan, Xuan Wang, Zongxia Xie, Shuhan Qi, Wenwu Wang:
Joint L1-L2 Regularisation for Blind Speech Deconvolution. PCM (1) 2017: 834-843 - 2016
- [c8]Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu:
Locally Weighted Ensemble Learning for Regression. PAKDD (1) 2016: 65-76 - 2015
- [j12]Shiguang Zhang, Qinghua Hu, Zongxia Xie, Ju-Sheng Mi:
Kernel ridge regression for general noise model with its application. Neurocomputing 149: 836-846 (2015) - [j11]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): 47-50 (2015) - 2014
- [j10]Zongxia Xie, Yong Xu:
Sparse group LASSO based uncertain feature selection. Int. J. Mach. Learn. Cybern. 5(2): 201-210 (2014) - [j9]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: 1-11 (2014) - 2012
- [j8]Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu:
Margin distribution based bagging pruning. Neurocomputing 85: 11-19 (2012) - 2011
- [j7]Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu:
Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing 74(10): 1585-1594 (2011) - [c7]Zongxia Xie, Yong Xu, Qinghua Hu:
Visual Object Recognition with Bagging of One Class Support Vector Machines. IBICA 2011: 99-102
2000 – 2009
- 2008
- [j6]Qinghua Hu, Daren Yu, Zongxia Xie:
Neighborhood classifiers. Expert Syst. Appl. 34(2): 866-876 (2008) - [j5]Qinghua Hu, Zongxia Xie, Daren Yu:
Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures". IEEE Trans. Fuzzy Syst. 16(2): 549-551 (2008) - 2007
- [j4]Qinghua Hu, Zongxia Xie, Daren Yu:
Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognit. 40(12): 3509-3521 (2007) - [j3]Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li:
EROS: Ensemble rough subspaces. Pattern Recognit. 40(12): 3728-3739 (2007) - [c6]Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu:
Consistency Based Attribute Reduction. PAKDD 2007: 96-107 - [c5]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: 387-394 - [c4]Qinghua Hu, Daren Yu, Zongxia Xie:
Selecting Samples and Features for SVM Based on Neighborhood Model. RSFDGrC 2007: 508-517 - 2006
- [j2]Qinghua Hu, Daren Yu, Zongxia Xie:
Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognit. Lett. 27(5): 414-423 (2006) - [j1]Qinghua Hu, Daren Yu, Zongxia Xie, Jinfu Liu:
Fuzzy Probabilistic Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 14(2): 191-201 (2006) - [c3]Zongxia Xie, Qinghua Hu, Daren Yu:
Improved Feature Selection Algorithm Based on SVM and Correlation. ISNN (1) 2006: 1373-1380 - 2005
- [c2]Zongxia Xie, Qinghua Hu, Daren Yu:
Fuzzy Output Support Vector Machines for Classification. ICNC (3) 2005: 1190-1197 - [c1]Qinghua Hu, Daren Yu, Zongxia Xie:
Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. SDM 2005: 195-204
Coauthor Index
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last updated on 2026-02-05 23:46 CET by the dblp team
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