Zongxia Xie - RankMe

56 papers A* 6A 3B 3Misc 1Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning. CoRR Wenzhe Niu, Wei He, Zongxia Xie, Jinpeng Ou, Huichuan Fan, Yuchen Ge, Yanru Sun, Ziyin Wang, Yizhao Sun, Chengshun Shi, Jiuchong Gao, Jinghua Hao, Renqing He
2026	J	`jnl`	Lightweight channel-wise dynamic fusion model: Non-stationary time series forecasting via entropy analysis. Inf. Fusion Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu
2026	J	`jnl`	Long-Tail Class Incremental Learning via Bias Calibration With Application to Continuous Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Zongxia Xie, Wenlong Yu, Qinghua Hu
2026	A*	`conf`	SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting. AAAI Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin
2025	J	`jnl`	Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. CoRR Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu
2025	Misc	`conf`	Frequency-Domain Popularity Forecasting with Shape-Based Retrieval. ICASSP Canhua Guan, Zongxia Xie, Haoyu Wang, Haoyu Xing
2025	A*	`conf`	Hierarchical Classification Auxiliary Network for Time Series Forecasting. AAAI Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
2025	A*	`conf`	LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. ICML Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao
2025	J	`jnl`	LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. CoRR Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao
2025	J	`jnl`	Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis. CoRR Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu
2025	A*	`conf`	Map-SemNav: Advancing Zero-Shot Continuous Vision-and-Language Navigation Through Visual Semantics and Map Integration. ICRA Shuai Wu, Ruonan Liu, Zongxia Xie, Zhibo Pang
2025	J	`jnl`	PPGF: Probability Pattern-Guided Time Series Forecasting. CoRR Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu
2025	J	`jnl`	PPGF: Probability Pattern-Guided Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu
2025	A*	`conf`	Patch-wise Structural Loss for Time Series Forecasting. ICML Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu
2025	J	`jnl`	Patch-wise Structural Loss for Time Series Forecasting. CoRR Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu
2025	J	`jnl`	RecMamba: Reconstruction-augmented dual-path Mamba for time series forecasting. Knowl. Based Syst. Yuxuan Zhao, Zongxia Xie, Zheng Wang, Yanru Sun, Haoyu Xing, Tianyu Jia, Dilfira Kudrat
2025	J	`jnl`	SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting. CoRR Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin
2025	A*	`conf`	VLN-KHVR: Knowledge-And-History Aware Visual Representation for Continuous Vision-and-Language Navigation. ICRA Ping Kong, Ruonan Liu, Zongxia Xie, Zhibo Pang
2024	J	`jnl`	Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding
2024	J	`jnl`	Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation. Comput. Graph. Kaidi Hu, Zongxia Xie, Qinghua Hu
2024	J	`jnl`	Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
2024	J	`jnl`	Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu
2024	J	`jnl`	Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. Kaidi Hu, Zongxia Xie, Qinghua Hu
2024	J	`jnl`	ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation. Int. J. Mach. Learn. Cybern. Kaidi Hu, Zongxia Xie, Qinghua Hu
2023	A	`conf`	AFRF: Angle Feature Retrieval Based Popularity Forecasting. CIKM Haoyu Wang, Zongxia Xie, Meiyao Liu, Canhua Guan
2022	J	`jnl`	Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai
2022	J	`jnl`	Multi-channel fusion graph neural network for multivariate time series forecasting. J. Comput. Sci. Yanzhe Chen, Zongxia Xie
2022	B	`conf`	Uncertainty prediction and calibration using multi-expert gating mechanism. IJCNN Kun Cao, Zongxia Xie
2021	J	`jnl`	ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li
2021	A	`conf`	Emitting Word Timings with HMM-Free End-to-End System in Automatic Speech Recognition. Interspeech Xianzhao Chen, Hao Ni, Yi He, Kang Wang, Zejun Ma, Zongxia Xie
2020	B	`conf`	Interval prediction for time series based on LSTM and mixed Gaussian distribution. SMC Zongxia Xie, Renhui Li, Hui Hu
2019	—	`conf`	Composite Quantile Regression Long Short-Term Memory Network. ICANN (4) Zongxia Xie, Hao Wen
2019	J	`jnl`	Large-scale support vector regression with budgeted stochastic gradient descent. Int. J. Mach. Learn. Cybern. Zongxia Xie, Yingda Li
2018	J	`jnl`	Uncertain data classification with additive kernel support vector machine. Data Knowl. Eng. Zongxia Xie, Yong Xu, Qinghua Hu
2017	—	`conf`	A Pixel-to-Pixel Convolutional Neural Network for Single Image Dehazing. ICONIP (3) Chengkai Zhu, Yucan Zhou, Zongxia Xie
2017	—	`conf`	Joint L1-L2 Regularisation for Blind Speech Deconvolution. PCM (1) Jian Guan, Xuan Wang, Zongxia Xie, Shuhan Qi, Wenwu Wang
2016	—	`conf`	Locally Weighted Ensemble Learning for Regression. PAKDD (1) Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu
2015	J	`jnl`	Kernel ridge regression for general noise model with its application. Neurocomputing Shiguang Zhang, Qinghua Hu, Zongxia Xie, Ju-Sheng Mi
2015	J	`jnl`	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 Hongmei Tian, Bo Peng, Tianrui Li, Zongxia Xie
2014	J	`jnl`	Noise model based v-support vector regression with its application to short-term wind speed forecasting. Neural Networks Qinghua Hu, Shiguang Zhang, Zongxia Xie, Ju-Sheng Mi, Jie Wan
2014	J	`jnl`	Sparse group LASSO based uncertain feature selection. Int. J. Mach. Learn. Cybern. Zongxia Xie, Yong Xu
2012	J	`jnl`	Margin distribution based bagging pruning. Neurocomputing Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu
2011	J	`jnl`	Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu
2011	—	`conf`	Visual Object Recognition with Bagging of One Class Support Vector Machines. IBICA Zongxia Xie, Yong Xu, Qinghua Hu
2008	J	`jnl`	Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures". IEEE Trans. Fuzzy Syst. Qinghua Hu, Zongxia Xie, Daren Yu
2008	J	`jnl`	Neighborhood classifiers. Expert Syst. Appl. Qinghua Hu, Daren Yu, Zongxia Xie
2007	—	`conf`	A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM. RSFDGrC Xueshen Sui, Qinghua Hu, Daren Yu, Zongxia Xie, Zhongying Qi
2007	B	`conf`	Consistency Based Attribute Reduction. PAKDD Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu
2007	J	`jnl`	EROS: Ensemble rough subspaces. Pattern Recognit. Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li
2007	J	`jnl`	Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognit. Qinghua Hu, Zongxia Xie, Daren Yu
2007	—	`conf`	Selecting Samples and Features for SVM Based on Neighborhood Model. RSFDGrC Qinghua Hu, Daren Yu, Zongxia Xie
2006	J	`jnl`	Fuzzy Probabilistic Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. Qinghua Hu, Daren Yu, Zongxia Xie, Jinfu Liu
2006	—	`conf`	Improved Feature Selection Algorithm Based on SVM and Correlation. ISNN (1) Zongxia Xie, Qinghua Hu, Daren Yu
2006	J	`jnl`	Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognit. Lett. Qinghua Hu, Daren Yu, Zongxia Xie
2005	—	`conf`	Fuzzy Output Support Vector Machines for Classification. ICNC (3) Zongxia Xie, Qinghua Hu, Daren Yu
2005	A	`conf`	Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. SDM Qinghua Hu, Daren Yu, Zongxia Xie