Guangquan Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 225

Top Venues

CoRR

FUZZ-IEEE

IEEE Trans. Fuzzy Syst.

IJCNN

Publications

Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation. FUZZ (2024)
Guangzhi Ma, Jie Lu, Guangquan Zhang
Multisource Domain Adaptation With Interval-Valued Target Data via Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR (2024)
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms. IEEE Trans. Cybern. 54 (2) (2024)
Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data. CoRR (2024)
Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing 589 (2024)
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Domain Adaptation With Interval-Valued Observations: Theory and Algorithms. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Jie Lu, Guangzhi Ma, Guangquan Zhang
Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang
Source-Free Unsupervised Domain Adaptation: Current research and future directions. Neurocomputing 564 (2024)
Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR (2024)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multidomain Adaptation With Sample and Source Distillation. IEEE Trans. Cybern. 54 (4) (2024)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. IEEE Trans. Cybern. 54 (2) (2024)
Kun Wang, Li Xiong, Anjin Liu, Guangquan Zhang, Jie Lu
A self-adaptive ensemble for user interest drift learning. Neurocomputing 577 (2024)
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
Responsible AI: Portraits with Intelligent Bibliometrics. CoRR (2024)
Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
En Yu, Jie Lu, Bin Zhang, Guangquan Zhang
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. AAAI (2024)
Zhen Fang, Jie Lu, Guangquan Zhang
An Extremely Simple Algorithm for Source Domain Reconstruction. IEEE Trans. Cybern. 54 (3) (2024)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-source domain adaptation handling inaccurate label spaces. Neurocomputing 594 (2024)
Zhaoqing Liu, Guangquan Zhang, Jie Lu
Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification. Neurocomputing 596 (2024)
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. J. Assoc. Inf. Sci. Technol. 74 (7) (2023)
Guangzhi Ma, Jie Lu, Guangquan Zhang
Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks. FUZZ (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong
Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. IEEE Trans. Cybern. 53 (4) (2023)
Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang
Detecting group concept drift from multiple data streams. Pattern Recognit. 134 (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. AI (1) (2023)
Mengjia Wu, Yi Zhang, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu
BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. HIS (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-Source Domain Adaptation with Incomplete Source Label Spaces. KES (2023)
Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
En Yu, Jie Lu, Bin Zhang, Guangquan Zhang
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. CoRR (2023)
Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu
meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning. KES (2023)
Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu
A Deep Dual Adversarial Network for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu
Heterogeneous Multidomain Recommender System Through Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Domain Adaptation for Image Segmentation with Category-Guide Classifier. ISKE (2023)
Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
Improving proximal policy optimization with alpha divergence. Neurocomputing 534 (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu
One-step Domain Adaptation Approach with Partial Label. IJCNN (2023)
Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang
Meta OOD Learning For Continuously Adaptive OOD Detection. ICCV (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. KES (2023)
Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang
Meta OOD Learning for Continuously Adaptive OOD Detection. CoRR (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. FUZZ (2023)
Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang
Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
En Yu, Yiliao Song, Guangquan Zhang, Jie Lu
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing 496 (2022)
Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang
A Drift Region-Based Data Sample Filtering Method. IEEE Trans. Cybern. 52 (9) (2022)
Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang
A quantile fusion methodology for deep forecasting. Neurocomputing 483 (2022)
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
Learning From a Complementary-Label Source Domain: Theory and Algorithms. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang, Li Hou
Transfer learning based on sparse Gaussian process for regression. Inf. Sci. 605 (2022)
Hang Yu, Jie Lu, Guangquan Zhang
Continuous Support Vector Regression for Nonstationary Streaming Data. IEEE Trans. Cybern. 52 (5) (2022)
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms. CoRR (2022)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-Source Contribution Learning for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Hang Yu, Jie Lu, Guangquan Zhang
MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Hang Yu, Jie Lu, Guangquan Zhang
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE Trans. Fuzzy Syst. 30 (2) (2022)
Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Inf. Sci. 608 (2022)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. IJCNN (2022)
Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang
A Segment-Based Drift Adaptation Method for Data Streams. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. CoRR (2022)
Hang Yu, Jie Lu, Guangquan Zhang
An Online Robust Support Vector Regression for Data Streams. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. AI (2022)
Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing 491 (2022)
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
Learning Bounds for Open-Set Learning. ICML (2021)
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI (2021)
Yi Zhang, Mengjia Wu, George Yijun Tian, Guangquan Zhang, Jie Lu
Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowl. Based Syst. 222 (2021)
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang
Automatic Learning to Detect Concept Drift. CoRR (2021)
Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang
Domain-specific meta-embedding with latent semantic structures. Inf. Sci. 555 (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. CoRR (2021)
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
Learning Bounds for Open-Set Learning. CoRR (2021)
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? CoRR (2021)
Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR (2021)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
Statistical generalization performance guarantee for meta-learning with data dependent prior. Neurocomputing 465 (2021)
Wenjun Chang, Qian Zhang, Chao Fu, Weiyong Liu, Guangquan Zhang, Jie Lu
A cross-domain recommender system through information transfer for medical diagnosis. Decis. Support Syst. 143 (2021)
Junyu Xuan, Jie Lu, Guangquan Zhang
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu
An Efficient Bayesian Neural Network for Multiple Data Streams. IJCNN (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection via Equal Intensity k-Means Space Partitioning. IEEE Trans. Cybern. 51 (6) (2021)
Guangzhi Ma, Feng Liu, Guangquan Zhang, Jie Lu
Learning from Imprecise Observations: An Estimation Error Bound based on Fuzzy Random Variables. FUZZ-IEEE (2021)
Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang
Multi-source transfer regression via source-target pairwise segment. Inf. Sci. 556 (2021)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. FUZZ-IEEE (2021)
Junyu Xuan, Jie Lu, Guangquan Zhang
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. CoRR (2021)
Feng Liu, Guangquan Zhang, Jie Lu
Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. IJCNN (2020)
Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
Web event evolution trend prediction based on its computational social context. World Wide Web 23 (3) (2020)
Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang
A Pareto-smoothing method for causal inference using generalized Pareto distribution. Neurocomputing 378 (2020)
Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. Australasian Conference on Artificial Intelligence (2020)
Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
Learning Deep Kernels for Non-Parametric Two-Sample Tests. ICML (2020)
Hang Yu, Jie Lu, Guangquan Zhang
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
Learning Deep Kernels for Non-Parametric Two-Sample Tests. CoRR (2020)
Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing 397 (2020)
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. 11 (3) (2020)
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
Learning from a Complementary-label Source Domain: Theory and Algorithms. CoRR (2020)
Guanjin Wang, Jie Lu, Kup-Sze Choi, Guangquan Zhang
A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data. IEEE Trans. Cybern. 50 (2) (2020)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. IJCNN (2020)
Anjin Liu, Jie Lu, Guangquan Zhang
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. CoRR (2020)
Hua Zuo, Jie Lu, Guangquan Zhang
Multiple-source Domain Adaptation in Rule-based Neural Network. IJCNN (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guangquan Zhang