Xuegang Hu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 120

Top Venues

Publications

Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. Artif. Intell. Medicine 154 (2024)
Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu
A cross-network node classification method in open-set scenario. Pattern Recognit. 155 (2024)
Xuegang Hu, Jing Feng, Juelin Gong
LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes. Pattern Anal. Appl. 27 (1) (2024)
Zhanwang Chen, Peipei Li, Xuegang Hu
Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. Appl. Intell. 54 (17-18) (2024)
Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu
Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang, Xuegang Hu
Multicomponent Similarity Graphs for Cross-Network Node Classification. IEEE Trans. Artif. Intell. 5 (3) (2024)
Xuegang Hu, Yan Ke
EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation. J. Real Time Image Process. 21 (2) (2024)
Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42 (5) (2024)
Xuegang Hu, Jing Feng
A Fast Attention-Guided Hierarchical Decoding Network for Real-Time Semantic Segmentation. Sensors 24 (1) (2024)
Yizhang Zou, Xuegang Hu, Pei-Pei Li
Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. 145 (2024)
Xuegang Hu, Wei Zhao
Multi-scale information fusion generative adversarial network for real-world noisy image denoising. Mach. Vis. Appl. 35 (4) (2024)
Yuhong Zhang, Jianqing Wu, Qi Zhang, Xuegang Hu
Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation. Data Intell. 6 (1) (2024)
Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge
Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. 656 (2024)
Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9 (1) (2023)
Xiulan Yuan, Xuegang Hu, Pei-Pei Li
Multi-source Multi-label Feature Selection. IJCNN (2023)
Yizhang Zou, Xuegang Hu, Pei-Pei Li
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG (2023)
Xuegang Hu, Shuhan Xu, Liyuan Jing
Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation. IET Image Process. 17 (9) (2023)
Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu
Meta-path based graph contrastive learning for micro-video recommendation. Expert Syst. Appl. 222 (2023)
Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu
Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. IJCNN (2023)
Jiajun Li, Pei-Pei Li, Xuegang Hu
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN (2023)
Xuegang Hu, Baoman Zhou
LBARNet: Lightweight bilateral asymmetric residual network for real-time semantic segmentation. Comput. Graph. 116 (2023)
Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu
Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation. ICMR (2023)
Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu
Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD (2023)
Boyan Wang, Xuegang Hu, Jinglin Zhang, Chenchu Xu, Zhifan Gao
Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules. IEEE Internet Things J. 10 (2) (2023)
Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Xuegang Hu, Yuanjing Liu
Lightweight multi-scale attention-guided network for real-time semantic segmentation. Image Vis. Comput. 139 (2023)
Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing. CoRR (2022)
Shiyuan Qiu, Peipei Li, Xuegang Hu
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN (2022)
Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121 (2022)
Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238 (2022)
Yuhang Ge, Xuegang Hu
Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. ICKG (2022)
Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu
DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. ICONIP (2) (2022)
Zhidong Huang, Peipei Li, Xuegang Hu
PU Matrix Completion Based Multi-label Classification with Missing Labels. ISDA (2) (2022)
Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN (2022)
Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu
Structure Similarity Graph for Cross-Network Node Classification. ICTAI (2022)
Yingying Liu, Pei-Pei Li, Xuegang Hu
Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. 71 (2022)
Xuegang Hu, Juelin Gong
LARFNet: Lightweight asymmetric refining fusion network for real-time semantic segmentation. Comput. Graph. 109 (2022)
Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo
Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. ICSI (1) (2022)
Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. 129 (2022)
Junwei Lv, Xuegang Hu
A Baseline for Early Classification of Time Series in An Open World. COMPSAC (2022)
Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. (7) (2022)
Yuhong Zhang, Zhihao Lin, Lin Qian, Xuegang Hu
Multi-modal Component Representation for Multi-source Domain Adaptation Method. PRICAI (1) (2022)
Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. CoRR (2022)
Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu
Fuzzy Bayesian Knowledge Tracing. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu
A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. ICTAI (2022)
Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li
Multi-label Learning with Data Self-augmentation. ICONIP (4) (2022)
Xuegang Hu, Liyuan Jing, Uroosa Sehar
Joint pyramid attention network for real-time semantic segmentation of urban scenes. Appl. Intell. 52 (1) (2022)
Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu
Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN (2022)
Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. PRICAI (1) (2022)
Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu
Dual Confidence Learning Network for Open-World Time Series Classification. DASFAA (2) (2022)
Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu
Multi-Label Learning with Missing Features. IJCNN (2021)
Xuegang Hu, Yu Gong
Lightweight Asymmetric Dilation Network for Real-Time Semantic Segmentation. IEEE Access 9 (2021)
Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu
Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. 215 (2021)
Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. 39 (2) (2021)
Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu
Attentive interaction-driven entity resolution over multi-source web information. Neurocomputing 425 (2021)
Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu
A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS (2021)
Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu
Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. 218 (2021)
Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN (2021)
Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. 51 (11) (2021)
Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu
Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. 190 (2020)
Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG (2020)
Xuegang Hu, Liyuan Jing
LDPNet: A Lightweight Densely Connected Pyramid Network for Real-Time Semantic Segmentation. IEEE Access 8 (2020)
Xuetao Tang, Xuegang Hu, Pei-Pei Li
Dynamically Jointing character and word embedding for Chinese text Classification. ICKG (2020)
Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access 8 (2020)
Daoyuan Yu, Xuegang Hu
Adaptive domain of dynamic distribution based on manifold space. ICKG (2020)
Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu
Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160 (2020)
Xuegang Hu, Hongguang Yang
DRU-net: a novel U-net for biomedical image segmentation. IET Image Process. 14 (1) (2020)
Yuhong Zhang, Yuling Li, Yi Zhu, Xuegang Hu
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. Pattern Recognit. Lett. 129 (2020)
Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu
A Survey on Multi-Label Data Stream Classification. IEEE Access 8 (2020)
Xuegang Hu, Haibo Wang
Efficient Fast Semantic Segmentation Using Continuous Shuffle Dilated Convolutions. IEEE Access 8 (2020)
Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan
An efficient and fast algorithm for community detection based on node role analysis. Int. J. Mach. Learn. Cybern. 10 (4) (2019)
Huaining Sun, Xuegang Hu, Yuhong Zhang
Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree. Entropy 21 (2) (2019)
Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu
Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369 (2019)
Zhe Chu, Peipei Li, Xuegang Hu
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK (2019)
Yuxin Xie, Xuegang Hu, Yuhong Zhang, Shi Li
Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering. ICBK (2019)
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
OFS-Density: A novel online streaming feature selection method. Pattern Recognit. 86 (2019)
Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li
An Effective Confidence-Based Early Classification of Time Series. IEEE Access 7 (2019)
Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu
Representation learning via serial autoencoders for domain adaptation. Neurocomputing 351 (2019)
Gongqing Wu, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, Xuegang Hu
Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification. IEEE Access 7 (2019)
Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi
A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. GLOBECOM (2019)
Lei Li, Wei Li, Jianxing Liao, Xuegang Hu
Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series. SPAC (2019)
Shuai Yang, Yuhong Zhang, Yi Zhu, Han Ding, Xuegang Hu
The ℓ _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. ICAIS (2) (2019)
Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK (2019)
Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7 (2019)
Longmao Hu, Bingwu Fang, Xuegang Hu
Appraisal expression extraction based on semantic and dependency parsing. AIIPCC (2019)
Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR (2019)
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. 481 (2019)
Pan Zheng, Chunlai Mu, Robert Willie, Xuegang Hu
Global asymptotic stability of steady states in a chemotaxis-growth system with singular sensitivity. Comput. Math. Appl. 75 (5) (2018)
Hua-Zheng Du, Guoye Chen, Xuegang Hu, Na Xia, Biaodian Xu
Simultaneous perturbation stochastic approximation-based radio occultation data assimilation for sensing atmospheric parameters. Int. J. Distributed Sens. Networks 14 (12) (2018)
Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu
Multi-target Core Network-Based Networked Multi-label Classification. ICBK (2018)
Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu
Co-occurrence pattern mining based on a biological approximation scoring matrix. Pattern Anal. Appl. 21 (4) (2018)
Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu
Chinese Entity Relation Extraction Based on Syntactic Features. ICBK (2018)
Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. 152 (2018)
Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. 48 (9) (2018)
Xuegang Hu, Haiyan Wang, Pei-Pei Li
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. 116 (2018)
Yuhong Zhang, Mimi Wu, Xuegang Hu, Yi Zhu
An Online Transfer Learning Algorithm with Adaptive Cost. SPML (2018)
Gong-Qing Wu, Ying He, Xuegang Hu
Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base. IEEE Access 6 (2018)
Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xuegang Hu