Video measurement of resident-on-resident physical aggression in nursing homes. - Datong Chen; Ming-yu Chen 001; Howard D. Wactlar; Can Gao; Ashok Bharucha (VNBA, 2008)

Maximum condition entropy based attribute reduction in variable precision rough set model. - Can Gao; Duoqian Miao 001; Jie Zhou 009 (GrC, 2009)

Diverse reduct subspaces based co-training for partially labeled data. - Duoqian Miao; Can Gao; Nan Zhang; Zhifei Zhang (Int. J. Approx. Reason., 2011)

Bayesian rough set model: A further investigation. - Hongyun Zhang; Jie Zhou 009; Duoqian Miao 001; Can Gao (Int. J. Approx. Reason., 2012)

Research on optimization scheme of regression testing. - Shiming Sun; Xiuping Hou; Can Gao; Linlin Sun (ICNC, 2013)

Two-dimensional color uncorrelated discriminant analysis for face recognition. - Cairong Zhao; Duoqian Miao 001; Zhihui Lai 001; Can Gao; Chuancai Liu; Jingyu Yang 001 (Neurocomputing, 2013)

Rough subspace-based clustering ensemble for categorical data. - Can Gao; Witold Pedrycz; Duoqian Miao 001 (Soft Comput., 2013)

Co-training Based Attribute Reduction for Partially Labeled Data. - Wei Zhang; Duoqian Miao 001; Can Gao; Xiaodong Yue (RSKT, 2014)

Design, Experiments and Simulation of Voltage Transformers on the Basis of a Differential Input D-dot Sensor. - Jingang Wang; Can Gao; Jie Yang (Sensors, 2014)

Robust Color Invariant Model for Person Re-Identification. - Yipeng Chen; Cairong Zhao; Xuekuan Wang; Can Gao (CCBR, 2016)

Consistent Iterative Multi-view Transfer Learning for Person Re-identification. - Cairong Zhao; Xuekuan Wang; Yipeng Chen; Can Gao; Wangmeng Zuo; Duoqian Miao 001 (ICCV Workshops, 2017)

一种处理部分标记数据的粗糙集属性约简算法 (Rough Set Attribute Reduction Algorithm for Partially Labeled Data). - Wei Zhang; Duoqian Miao; Can Gao; Feng Li (计算机科学, 2017)

Feature Selection Ensemble for Symbolic Data Classification with AHP. - Meiqian Wang; Xiaodong Yue; Can Gao; Yufei Chen 002 (ICPR, 2018)

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Xiaodong Yue; Wai Keung Wong (IEEE Access, 2018)

Nuclear norm based two-dimensional sparse principal component analysis. - Yudong Chen 002; Zhihui Lai 001; Jiajun Wen 001; Can Gao (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Solving Location Problem of Distribution Center Based on Hybrid Particle Swarm Algorithm. - Can Gao; Yumei Song; Jiajie Shen; Yuanyuan Li (J. Comput., 2018)

Maximum decision entropy-based attribute reduction in decision-theoretic rough set model. - Can Gao; Zhihui Lai 001; Jie Zhou 009; Cairong Zhao; Duoqian Miao 001 (Knowl. Based Syst., 2018)

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Duoqian Miao 001; Xiaodong Yue (Knowl. Based Syst., 2018)

Remotely Access "My" Smart Home in Private: An Anti-Tracking Authentication and Key Agreement Scheme. - Qiuyun Lyu; Ning Zheng 001; Huaping Liu 002; Can Gao; Si Chen; Junliang Liu (IEEE Access, 2019)

Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction. - Can Gao; Zhihui Lai 001; Jie Zhou 009; Jiajun Wen 001; Wai Keung Wong (Int. J. Approx. Reason., 2019)

Constrained shadowed sets and fast optimization algorithm. - Jie Zhou 009; Can Gao; Witold Pedrycz; Zhihui Lai 001; Xiaodong Yue (Int. J. Intell. Syst., 2019)

Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. - Jie Zhou 009; Duoqian Miao 001; Can Gao; Zhihui Lai 001; Xiaodong Yue (Inf. Sci., 2019)

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. - Hao Tian 005; Can Gao; Xinyan Xiao; Hao Liu 026; Bolei He; Hua Wu 003; Haifeng Wang 001; Feng Wu 001 (ACL, 2020)

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. - Jun Wan 005; Zhihui Lai 001; Jing Li 055; Jie Zhou 009; Can Gao (CoRR, 2020)

Multigranulation rough-fuzzy clustering based on shadowed sets. - Jie Zhou 009; Zhihui Lai 001; Duoqian Miao 001; Can Gao; Xiaodong Yue (Inf. Sci., 2020)

UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. - Wei Li 176; Can Gao; Guocheng Niu; Xinyan Xiao; Hao Liu 026; Jiachen Liu; Hua Wu 003; Haifeng Wang 001 (ACL/IJCNLP (1), 2021)

Multi-scale Defective Samples Synthesis for Surface Defect Detection. - Zirong Liu; Zhihui Lai 001; Can Gao (CCIS, 2021)

Progressive Distribution Alignment Based on Label Correction for Unsupervised Domain Adaptation. - Yong Li; Desheng Li; Yuwu Lu; Can Gao; Wenjing Wang; Jianglin Lu (ICME, 2021)

Local Learning Joint with the Adaptive Graph for Subspace Representation. - Yangbo Wang; Can Gao; Jie Zhou 009; Zhihui Lai 001 (ISKE, 2021)

Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. - Jie Zhou 009; Witold Pedrycz; Can Gao; Zhihui Lai 001; Xiaodong Yue (Fuzzy Sets Syst., 2021)

Three-way decision with co-training for partially labeled data. - Can Gao; Jie Zhou 009; Duoqian Miao 001; Jiajun Wen 001; Xiaodong Yue (Inf. Sci., 2021)

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. - Can Gao; Jie Zhou 009; Duoqian Miao 001; Xiaodong Yue; Jun Wan 005 (Inf. Sci., 2021)

Robust facial landmark detection by cross-order cross-semantic deep network. - Jun Wan 005; Zhihui Lai 001; Linlin Shen; Jie Zhou 009; Can Gao; Gang Xiao; Xianxu Hou (Neural Networks, 2021)

Projected fuzzy C-means clustering with locality preservation. - Jie Zhou 009; Witold Pedrycz; Xiaodong Yue; Can Gao; Zhihui Lai 001; Jun Wan 005 (Pattern Recognit., 2021)

Robust Face Alignment by Multi-Order High-Precision Hourglass Network. - Jun Wan 005; Zhihui Lai 001; Jun Liu 036; Jie Zhou 009; Can Gao (IEEE Trans. Image Process., 2021)

UNIMO-2: End-to-End Unified Vision-Language Grounded Learning. - Wei Li 176; Can Gao; Guocheng Niu; Xinyan Xiao; Hao Liu 026; Jiachen Liu; Hua Wu 003; Haifeng Wang 001 (ACL (Findings), 2022)

Kernelized Fuzzy Rough Sets-Based Three-Way Feature Selection. - Xingchen Liu; Liuxin Wang; Linchao Pan; Can Gao (IJCRS, 2022)

Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis. - Jinming Xing; Can Gao; Jie Zhou 009 (Appl. Soft Comput., 2022)

Three-way approximate reduct based on information-theoretic measure. - Can Gao; Zhicheng Wang; Jie Zhou 009 (Int. J. Approx. Reason., 2022)

Parameterized maximum-entropy-based three-way approximate attribute reduction. - Can Gao; Jie Zhou 009; Jinming Xing; Xiaodong Yue (Int. J. Approx. Reason., 2022)

Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning. - Yangbo Wang; Can Gao; Jie Zhou 009 (Neurocomputing, 2022)

Three-way decision-based tri-training with entropy minimization. - Linchao Pan; Can Gao; Jie Zhou 009 (Inf. Sci., 2022)

Semi-supervised shadowed sets for three-way classification on partial labeled data. - Xiaodong Yue; S. W. Liu; Q. Qian; Duoqian Miao 001; Can Gao (Inf. Sci., 2022)

Global structure-guided neighborhood preserving embedding for dimensionality reduction. - Can Gao; Yong Li; Jie Zhou 009; Witold Pedrycz; Zhihui Lai 001; Jun Wan 005; Jianglin Lu (Int. J. Mach. Learn. Cybern., 2022)

Improved RANSAC Point Cloud Spherical Target Detection and Parameter Estimation Method Based on Principal Curvature Constraint. - Qinghua Wu; Jiacheng Liu 018; Can Gao; Biao Wang; Gaojian Shen; Zhiang Li (Sensors, 2022)

Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. - Jie Zhou 009; Witold Pedrycz; Can Gao; Zhihui Lai 001; Jun Wan 005; Zhong Ming 001 (IEEE Trans. Fuzzy Syst., 2022)

Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks. - Jun Wan 005; Zhihui Lai 001; Jing Li 055; Jie Zhou 009; Can Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

SSC-l0: Sparse Subspace Clustering with the l0 Inequality Constraint. - Yangbo Wang; Jie Zhou 009; Qingshui Lin; Jianglin Lu; Can Gao (ACPR (3), 2023)

NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning. - Yuanbo Sun; Can Gao (PRCV (8), 2023)

UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. - Hao Yang; Can Gao; Hao Liu 026; Xinyan Xiao; Yanyan Zhao; Bing Qin 001 (CoRR, 2023)

AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models. - Kuan Li; Qianzhi Lian; Can Gao; Fuyong Zhang (Syst., 2023)

Low-Rank Linear Embedding for Robust Clustering. - Jie Zhou 009; Witold Pedrycz; Jun Wan 005; Can Gao; Zhihui Lai 001; Xiaodong Yue (IEEE Trans. Knowl. Data Eng., 2023)

Rough sets-based tri-trade for partially labeled data. - Ziming Luo; Can Gao; Jie Zhou 009 (Appl. Intell., 2023)

Three-way decision-based co-detection for outliers. - Xiaofeng Tan 001; Can Gao; Jie Zhou 009; Jiajun Wen 001 (Int. J. Approx. Reason., 2023)

Texture and semantic convolutional auto-encoder for anomaly detection and segmentation. - Jintao Luo; Can Gao; Da Wan; Linlin Shen (IET Comput. Vis., 2023)

Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. - Can Gao; Yangbo Wang; Jie Zhou 009; Weiping Ding 001; Linlin Shen; Zhihui Lai 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. - Hongze Zhu; Guoyang Xie; Chengbin Hou; Tao Dai 001; Can Gao; Jinbao Wang; Linlin Shen (ACM Multimedia, 2024)

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. - Linchao Pan; Can Gao; Jie Zhou 009; Gong Chen; Xiaodong Yue (Appl. Soft Comput., 2024)

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study. - Xu Wu; Zhihui Lai 001; Jie Zhou 009; Can Gao; Xianxu Hou; Ya-nan Zhang; Linlin Shen (CoRR, 2024)

FlameGS: Reconstruct flame light field via Gaussian Splatting. - Yunhao Shui; Fuhao Zhang; Can Gao; Hao Xue; Zhiyin Ma; Gang Xun; Xuesong Li (CoRR, 2024)

Robust weighted fuzzy margin-based feature selection with three-way decision. - Zhenxi Chen; Gong Chen; Can Gao; Jie Zhou 009; Jiajun Wen 001 (Int. J. Approx. Reason., 2024)

Weighted Subspace Fuzzy Clustering with Adaptive Projection. - Jie Zhou 009; Chucheng Huang; Can Gao; Yangbo Wang; Xinrui Shen; Xu Wu (Int. J. Intell. Syst., 2024)

Unsupervised fabric defect detection with high-frequency feature mapping. - Da Wan; Can Gao; Jie Zhou 009; Xinrui Shen; Linlin Shen (Multim. Tools Appl., 2024)

Robust Self-expression Learning with Adaptive Noise Perception. - Yangbo Wang; Jie Zhou 009; Jianglin Lu; Jun Wan 005; Can Gao; Qingshui Lin (Pattern Recognit., 2024)

Analysis of core attribute and approximate reduct based on the three-way decision. - Can Gao; Zhicheng Wang; Jie Zhou 009; Hang Zeng; Xiaodong Yue (Appl. Soft Comput., 2024)

Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. - Jie Zhou 009; Can Gao; Xizhao Wang; Zhihui Lai 001; Jun Wan 005; Xiaodong Yue (IEEE Trans. Neural Networks Learn. Syst., 2024)

Generalized robust linear discriminant analysis for jointly sparse learning. - Yufei Zhu; Zhihui Lai 001; Can Gao; Heng Kong (Appl. Intell., 2024)

Fuzzy Clustering Guided by Spectral Rotation and Scaling. - Jie Zhou 009; Ge Yuan; Can Gao; Xizhao Wang; Jianhua Dai; Witold Pedrycz (IEEE Trans. Cybern., 2024)

OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning. - Yuting Zhou; Can Gao; Jie Zhou 009; Weiping Ding 001; Linlin Shen; Zhihui Lai 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. - Hanzhe Liang; Guoyang Xie; Chengbin Hou; Bingshu Wang; Can Gao; Jinbao Wang (AAAI, 2025)

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. - Linchao Pan; Can Gao; Jie Zhou; Jinbao Wang (AAAI, 2025)

Fusing fuzzy rough sets and mean shift for anomaly detection. - Mengyao Liao; Zhiyu Chen; Can Gao; Jie Zhou 009; Xiaodong Yue (Int. J. Approx. Reason., 2025)

Capped norm based discriminant robust regression learning. - Ning Liu; Zhihui Lai 001; Junhong Zhang; Can Gao; Heng Kong (Pattern Recognit., 2025)

Open-Set Fabric Defect Detection With Defect Generation and Transfer. - Can Gao; Xiujian Chen; Jie Zhou 009; Jinbao Wang; Linlin Shen (IEEE Trans. Instrum. Meas., 2025)

Enhanced Fabric Defect Detection With Feature Contrast Interference Suppression. - Jinbao Wang; Jiayi Cheng; Can Gao; Jie Zhou 009; Linlin Shen (IEEE Trans. Instrum. Meas., 2025)

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. - Linchao Pan; Can Gao; Jie Zhou 009; Jinbao Wang (CoRR, 2025)

Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detection. - Hanzhe Liang; Jie Zhou; Xuanxin Chen; Tao Dai; Jinbao Wang; Can Gao (CoRR, 2025)

Reweighted Subspace Clustering Guided by Local and Global Structure Preservation. - Jie Zhou 009; Chucheng Huang; Can Gao; Yangbo Wang; Witold Pedrycz; Ge Yuan (IEEE Trans. Cybern., 2025)

Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls. - Can Gao; Xiaofeng Tan 001; Jie Zhou 009; Weiping Ding 001; Witold Pedrycz (IEEE Trans. Knowl. Data Eng., 2025)

EF-RT-DETR: a efficient focused real-time DETR model for pavement distress detection. - Tao Han 012; Shuainan Hou; Can Gao; Shanyong Xu; Jiale Pang; Hai Gu; Yourui Huang (J. Real Time Image Process., 2025)

MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. - Jiayi Cheng; Can Gao; Jie Zhou 009; Jiajun Wen 001; Tao Dai; Jin-Bao Wang (CoRR, 2025)

Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection. - Hanzhe Liang; Aoran Wang; Jie Zhou; Xin Jin; Can Gao; Jinbao Wang (CoRR, 2025)

Granule Margin-Based Feature Selection in Weighted Neighborhood Systems. - Can Gao; Jie Zhou 009; Xizhao Wang; Witold Pedrycz (IEEE Trans. Cybern., 2025)

Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection. - Hanzhe Liang; Jie Zhang; Tao Dai 001; Linlin Shen; Jinbao Wang; Can Gao (CoRR, 2025)

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor. - Haoquan Lu; Hanzhe Liang; Jie Zhang; Chenxi Hu; Jinbao Wang; Can Gao (CoRR, 2025)