Jie Zhou

111 papers A* 1B 1Misc 2Journal 99Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A lightweight 3D anomaly detection method with rotationally invariant features.
Pattern Recognit.
Hanzhe Liang, Jie Zhou, Can Gao, Bingyang Guo, Jinbao Wang, Linlin Shen
2026 J jnl
Average weight margin-based feature selection with three-way decision.
Pattern Recognit.
Can Gao, Jiandong Hu, Jie Zhou, Weiping Ding, Witold Pedrycz
2026 J jnl
Dual-Stream Collaborative Transformer for Image Captioning.
CoRR
Jun Wan, Jun Liu, Zhihui lai, Jie Zhou
2026 J jnl
Efficient spectral embedding representation approximation for large-scale data clustering.
Pattern Recognit.
Jie Zhou, Xinxiang Zhang, Can Gao, Zhihui Lai, Witold Pedrycz
2026 J jnl
FGTBT: Frequency-Guided Task-Balancing Transformer for Unified Facial Landmark Detection.
CoRR
Jun Wan, Xinyu Xiong, Ning Chen, Zhihui Lai, Jie Zhou, Wenwen Min
2026 J jnl
FGTBT: Frequency-guided task-balancing transformer for unified facial landmark detection.
Inf. Sci.
Jun Wan, Xinyu Xiong, Ning Chen, Zhihui Lai, Jie Zhou, Wenwen Min
2026 J jnl
Feasible strategies for conflict resolution within intuitionistic fuzzy preference-based conflict situations.
CoRR
Guangming Lang, Mingchuan Shang, Mengjun Hu, Jie Zhou, Feng Xu
2026 J jnl
Fuzzy Multi-Subspace Clustering.
IEEE Trans. Fuzzy Syst.
Yangbo Wang, Jie Zhou, Mingli Song, Yue Guo, Jianglin Lu
2026 J jnl
Fuzzy granule kernel density estimation for outlier detection.
Eng. Appl. Artif. Intell.
Shiwang Zhang, Yumin Chen, Can Gao, Jie Zhou, Yiting Lin
2026 J jnl
Interpretable facial landmark detection by multi-expert collaborative uncertainty-aware deep networks.
Neural Networks
Jun Wan, Hui Xi, Yuanzhi Yao, Hang Sun, Zhihui Lai, Jie Zhou
2026 J jnl
Spectral Embedding Representation Based on Random Anchor Graph Aggregation.
IEEE Trans. Neural Networks Learn. Syst.
Jie Zhou, Fengkai Li, Can Gao, Weiping Ding, Witold Pedrycz, Guangming Lang
2026 J jnl
Supervision-by-Hallucination-and-Transfer: A Weakly-Supervised Approach for Robust and Precise Facial Landmark Detection.
CoRR
Jun Wan, Yuanzhi Yao, Zhihui Lai, Jie Zhou, Xianxu Hou, Wenwen Min
2025 J jnl
A codebook-driven approach for low-light image enhancement.
Eng. Appl. Artif. Intell.
Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-Nan Zhang, Witold Pedrycz, Linlin Shen
2025 J jnl
Enhanced Fabric Defect Detection With Feature Contrast Interference Suppression.
IEEE Trans. Instrum. Meas.
Jinbao Wang, Jiayi Cheng, Can Gao, Jie Zhou, Linlin Shen
2025 J jnl
Fine-Grained Image Captioning by Ranking Diffusion Transformer.
IEEE Trans. Image Process.
Jun Wan, Min Gan, Lefei Zhang, Jie Zhou, Jun Liu, Bo Du, C. L. Philip Chen
2025 J jnl
Fusing fuzzy rough sets and mean shift for anomaly detection.
Int. J. Approx. Reason.
MengYao Liao, Zhiyu Chen, Can Gao, Jie Zhou, Xiaodong Yue
2025 J jnl
Fusing local density and approximate distance for nonparametric outlier detection.
Appl. Soft Comput.
Zhiyu Chen, Can Gao, Jie Zhou, Ying Yu
2025 J jnl
Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls.
IEEE Trans. Knowl. Data Eng.
Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz
2025 J jnl
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls.
CoRR
Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz
2025 J jnl
Granule Margin-Based Feature Selection in Weighted Neighborhood Systems.
IEEE Trans. Cybern.
Can Gao, Jie Zhou, Xizhao Wang, Witold Pedrycz
2025 J jnl
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space.
CoRR
Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang
2025 J jnl
LightQANet: Quantized and Adaptive Feature Learning for Low-Light Image Enhancement.
CoRR
Xu Wu, Zhihui Lai, Xianxu Hou, Jie Zhou, Ya-Nan Zhang, Linlin Shen
2025 A* conf
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection.
IJCAI
Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang
2025 J jnl
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection.
CoRR
Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jin-Bao Wang
2025 J jnl
Open-Set Fabric Defect Detection With Defect Generation and Transfer.
IEEE Trans. Instrum. Meas.
Can Gao, Xiujian Chen, Jie Zhou, Jinbao Wang, Linlin Shen
2025 J jnl
Reweighted Subspace Clustering Guided by Local and Global Structure Preservation.
IEEE Trans. Cybern.
Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Witold Pedrycz, Ge Yuan
2024 J jnl
A joint learning framework for optimal feature extraction and multi-class SVM.
Inf. Sci.
Zhihui Lai, Guangfei Liang, Jie Zhou, Heng Kong, Yuwu Lu
2024 J jnl
Analysis of core attribute and approximate reduct based on the three-way decision.
Appl. Soft Comput.
Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue
2024 J jnl
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning.
IEEE Trans. Cybern.
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung
2024 J jnl
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement.
IEEE Trans. Emerg. Top. Comput. Intell.
Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen
2024 J jnl
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement.
CoRR
Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-Nan Zhang, Witold Pedrycz, Linlin Shen
2024 J jnl
Connection density based clustering: A graph-based denshttps://doi.org/10.1016/j.asoc.2024.111779ity clustering method.
Appl. Soft Comput.
Feng Xu, Mingjie Cai, Qingguo Li, Jie Zhou, Hamido Fujita
2024 J jnl
Fuzzy Clustering Guided by Spectral Rotation and Scaling.
IEEE Trans. Cybern.
Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz
2024 J jnl
GFDC: A granule fusion density-based clustering with evidential reasoning.
Int. J. Approx. Reason.
Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu, Jie Zhou
2024 J jnl
Hierarchical Sequential Three-Way Multiattribute Decision-Making Method Based on Regret Theory in Multiscale Fuzzy Decision Systems.
IEEE Trans. Fuzzy Syst.
Jin Qian, Yuehua Lu, Ying Yu, Jie Zhou, Duoqian Miao
2024 J jnl
LPRR: Locality preserving robust regression based jointly sparse feature extraction.
Inf. Sci.
Yufei Zhu, Jiajun Wen, Zhihui Lai, Jie Zhou, Heng Kong
2024 J jnl
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study.
CoRR
Xu Wu, Zhihui Lai, Jie Zhou, Can Gao, Xianxu Hou, Ya-Nan Zhang, Linlin Shen
2024 J jnl
Multi-granularity Cross Transformer Network for person re-identification.
Pattern Recognit.
Yanping Li, Duoqian Miao, Hongyun Zhang, Jie Zhou, Cairong Zhao
2024 J jnl
NPSVC++: Nonparallel Classifiers Encounter Representation Learning.
CoRR
Junhong Zhang, Zhihui Lai, Jie Zhou, Guangfei Liang
2024 J jnl
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai
2024 J jnl
Robust Self-expression Learning with Adaptive Noise Perception.
Pattern Recognit.
Yangbo Wang, Jie Zhou, Jianglin Lu, Jun Wan, Can Gao, Qingshui Lin
2024 J jnl
Robust weighted fuzzy margin-based feature selection with three-way decision.
Int. J. Approx. Reason.
Zhenxi Chen, Gong Chen, Can Gao, Jie Zhou, Jiajun Wen
2024 J jnl
Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data.
Appl. Soft Comput.
Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue
2024 J jnl
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
2024 J jnl
Unsupervised fabric defect detection with high-frequency feature mapping.
Multim. Tools Appl.
Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen
2024 J jnl
Weighted Subspace Fuzzy Clustering with Adaptive Projection.
Int. J. Intell. Syst.
Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Xinrui Shen, Xu Wu
2023 J jnl
GFDC: A Granule Fusion Density-Based Clustering with Evidential Reasoning.
CoRR
Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu, Jie Zhou
2023 J jnl
Generalized multiview regression for feature extraction.
Inf. Sci.
Zhihui Lai, Yiling Lin, Jiacan Zheng, Jie Zhou, Heng Kong
2023 J jnl
Low-Rank Linear Embedding for Robust Clustering.
IEEE Trans. Knowl. Data Eng.
Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
2023 J jnl
Multiview Jointly Sparse Discriminant Common Subspace Learning.
Pattern Recognit.
Yiling Lin, Zhihui Lai, Jie Zhou, Jiajun Wen, Heng Kong
2023 J jnl
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai
2023 J jnl
Precise Facial Landmark Detection by Reference Heatmap Transformer.
CoRR
Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min
2023 J jnl
Precise Facial Landmark Detection by Reference Heatmap Transformer.
IEEE Trans. Image Process.
Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min
2023 J jnl
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network.
IEEE Trans. Cybern.
Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun
2023 J jnl
Rough sets-based tri-trade for partially labeled data.
Appl. Intell.
Ziming Luo, Can Gao, Jie Zhou
2023 — conf
SSC-l
ACPR (3)
Yangbo Wang, Jie Zhou, Qingshui Lin, Jianglin Lu, Can Gao
2023 J jnl
Scatter matrix decomposition for jointly sparse learning.
Pattern Recognit.
Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu
2023 J jnl
Three-way decision-based co-detection for outliers.
Int. J. Approx. Reason.
Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen
2022 J jnl
Accelerated multi-granularity reduction based on neighborhood rough sets.
Appl. Intell.
Yizhu Li, Mingjie Cai, Jie Zhou, Qingguo Li
2022 J jnl
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning.
CoRR
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung
2022 J jnl
Deep asymmetric hashing with dual semantic regression and class structure quantization.
Inf. Sci.
Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen
2022 J jnl
Discriminative Invariant Alignment for Unsupervised Domain Adaptation.
IEEE Trans. Multim.
Yuwu Lu, Desheng Li, Wenjing Wang, Zhihui Lai, Jie Zhou, Xuelong Li
2022 J jnl
Generalized Embedding Regression: A Framework for Supervised Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen
2022 J jnl
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning.
Neurocomputing
Yangbo Wang, Can Gao, Jie Zhou
2022 J jnl
Global structure-guided neighborhood preserving embedding for dimensionality reduction.
Int. J. Mach. Learn. Cybern.
Can Gao, Yong Li, Jie Zhou, Witold Pedrycz, Zhihui Lai, Jun Wan, Jianglin Lu
2022 J jnl
Parameterized maximum-entropy-based three-way approximate attribute reduction.
Int. J. Approx. Reason.
Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue
2022 J jnl
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.
IEEE Trans. Neural Networks Learn. Syst.
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
2022 J jnl
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation.
IEEE Trans. Fuzzy Syst.
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming
2022 — conf
Rough-Fuzzy Clustering Based on Adaptive Weighted Values and Three-Way Decisions.
IJCRS
Ge Yuan, Jie Zhou, Qiongbin Chen
2022 J jnl
Three-way approximate reduct based on information-theoretic measure.
Int. J. Approx. Reason.
Can Gao, Zhicheng Wang, Jie Zhou
2022 J jnl
Three-way decision-based tri-training with entropy minimization.
Inf. Sci.
Linchao Pan, Can Gao, Jie Zhou
2022 J jnl
Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis.
Appl. Soft Comput.
Jinming Xing, Can Gao, Jie Zhou
2021 J jnl
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization.
CoRR
Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen
2021 — conf
Fast Deep Asymmetric Hashing for Image Retrieval.
ACPR (2)
Chuangquan Lin, Zhihui Lai, Jianglin Lu, Jie Zhou
2021 J jnl
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels.
CoRR
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
2021 J jnl
Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels.
Inf. Sci.
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
2021 Misc conf
Local Learning Joint with the Adaptive Graph for Subspace Representation.
ISKE
Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai
2021 — conf
Low-Rank Correlation Analysis for Discriminative Subspace Learning.
ACPR (2)
Jiacan Zheng, Zhihui Lai, Jianglin Lu, Jie Zhou
2021 J jnl
Low-rank adaptive graph embedding for unsupervised feature extraction.
Pattern Recognit.
Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu
2021 J jnl
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning.
Fuzzy Sets Syst.
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue
2021 J jnl
Projected fuzzy C-means clustering with locality preservation.
Pattern Recognit.
Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan
2021 J jnl
Robust Face Alignment by Multi-Order High-Precision Hourglass Network.
IEEE Trans. Image Process.
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
2021 J jnl
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network.
CoRR
Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun
2021 J jnl
Robust facial landmark detection by cross-order cross-semantic deep network.
Neural Networks
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
2021 J jnl
Target redirected regression with dynamic neighborhood structure.
Inf. Sci.
Jianglin Lu, Jingxu Lin, Zhihui Lai, Hailing Wang, Jie Zhou
2021 J jnl
Three-way decision with co-training for partially labeled data.
Inf. Sci.
Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue
2021 J jnl
Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection.
IEEE Trans Autom. Sci. Eng.
Dongmei Mo, Wai Keung Wong, Zhihui Lai, Jie Zhou
2020 — conf
Clustering Ensemble Selection with Analytic Hierarchy Process.
ICONIP (4)
Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
2020 B conf
Label Self-Adaption Hashing for Image Retrieval.
ICPR
Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou
2020 J jnl
Multigranulation rough-fuzzy clustering based on shadowed sets.
Inf. Sci.
Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue
2020 J jnl
Robust Face Alignment by Multi-order High-precision Hourglass Network.
CoRR
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
2020 J jnl
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network.
CoRR
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
2020 J jnl
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks.
CoRR
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
2020 J jnl
Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification.
IEEE Trans. Fuzzy Syst.
Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao
2019 — conf
Clustering Ensemble Selection with Determinantal Point Processes.
ICONIP (3)
Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
2019 J jnl
Constrained shadowed sets and fast optimization algorithm.
Int. J. Intell. Syst.
Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue
2019 J jnl
Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance.
Inf. Sci.
Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue
2019 J jnl
Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction.
Int. J. Approx. Reason.
Can Gao, Zhihui Lai, Jie Zhou, Jiajun Wen, Wai Keung Wong
2018 J jnl
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.
Knowl. Based Syst.
Can Gao, Zhihui Lai, Jie Zhou, Cairong Zhao, Duoqian Miao
2018 J jnl
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.
Knowl. Based Syst.
Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue
2018 J jnl
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.
IEEE Access
Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong
2017 — conf
Efficient Neighborhood Covering Reduction with Submodular Function Optimization.
ICONIP (1)
Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen
2012 J jnl
Bayesian rough set model: A further investigation.
Int. J. Approx. Reason.
Hongyun Zhang, Jie Zhou, Duoqian Miao, Can Gao
2011 J jnl
Analysis of alternative objective functions for attribute reduction in complete decision tables.
Soft Comput.
Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang
2011 J jnl
Shadowed sets in the characterization of rough-fuzzy clustering.
Pattern Recognit.
Jie Zhou, Witold Pedrycz, Duoqian Miao
2011 J jnl
β-Interval attribute reduction in variable precision rough set model.
Soft Comput.
Jie Zhou, Duoqian Miao
2010 J jnl
A novel measure of knowledge granularity in rough sets.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Qinrong Feng, Duoqian Miao, Jie Zhou, Yi Cheng
2010 J jnl
Two novel feature selection methods based on decomposition and composition.
Expert Syst. Appl.
Na Jiao, Duoqian Miao, Jie Zhou
2009 Misc conf
Maximum condition entropy based attribute reduction in variable precision rough set model.
GrC
Can Gao, Duoqian Miao, Jie Zhou
2009 J jnl
Research of reduct features in the variable precision rough set model.
Neurocomputing
Jia-Yang Wang, Jie Zhou
2009 — conf
Research on Complete Algorithms for Minimal Attribute Reduction.
RSKT
Jie Zhou, Duoqian Miao, Qinrong Feng, Lijun Sun