Can Gao

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 61

Top Topics

Partially Labeled Data

Attribute Reduction

Feature Selection

Top Venues

Int. J. Approx. Reason.

Appl. Soft Comput.

Publications

Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Xinrui Shen, Xu Wu
Weighted Subspace Fuzzy Clustering with Adaptive Projection. Int. J. Intell. Syst. 2024 (2024)
Zhenxi Chen, Gong Chen, Can Gao, Jie Zhou, Jiajun Wen
Robust weighted fuzzy margin-based feature selection with three-way decision. Int. J. Approx. Reason. 173 (2024)
Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue
Analysis of core attribute and approximate reduct based on the three-way decision. Appl. Soft Comput. 150 (2024)
Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen
Unsupervised fabric defect detection with high-frequency feature mapping. Multim. Tools Appl. 83 (7) (2024)
Yangbo Wang, Jie Zhou, Jianglin Lu, Jun Wan, Can Gao, Qingshui Lin
Robust Self-expression Learning with Adaptive Noise Perception. Pattern Recognit. 155 (2024)
Yufei Zhu, Zhihui Lai, Can Gao, Heng Kong
Generalized robust linear discriminant analysis for jointly sparse learning. Appl. Intell. 54 (19) (2024)
Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue
Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. Appl. Soft Comput. 164 (2024)
Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7 (6) (2023)
Yangbo Wang, Jie Zhou, Qingshui Lin, Jianglin Lu, Can Gao
Inequality Constraint. ACPR (3) (2023)
Yuanbo Sun, Can Gao
NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning. PRCV (8) (2023)
Jintao Luo, Can Gao, Da Wan, Linlin Shen
Texture and semantic convolutional auto-encoder for anomaly detection and segmentation. IET Comput. Vis. 17 (7) (2023)
Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. CoRR (2023)
Ziming Luo, Can Gao, Jie Zhou
Rough sets-based tri-trade for partially labeled data. Appl. Intell. 53 (14) (2023)
Kuan Li, Qianzhi Lian, Can Gao, Fuyong Zhang
AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models. Syst. 11 (5) (2023)
Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
Low-Rank Linear Embedding for Robust Clustering. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen
Three-way decision-based co-detection for outliers. Int. J. Approx. Reason. 160 (2023)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning. CoRR (2022)
Xingchen Liu, Liuxin Wang, Linchao Pan, Can Gao
Kernelized Fuzzy Rough Sets-Based Three-Way Feature Selection. IJCRS (2022)
Linchao Pan, Can Gao, Jie Zhou
Three-way decision-based tri-training with entropy minimization. Inf. Sci. 610 (2022)
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Jinming Xing, Can Gao, Jie Zhou
Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis. Appl. Soft Comput. 124 (2022)
Can Gao, Yong Li, Jie Zhou, Witold Pedrycz, Zhihui Lai, Jun Wan, Jianglin Lu
Global structure-guided neighborhood preserving embedding for dimensionality reduction. Int. J. Mach. Learn. Cybern. 13 (7) (2022)
Can Gao, Zhicheng Wang, Jie Zhou
Three-way approximate reduct based on information-theoretic measure. Int. J. Approx. Reason. 142 (2022)
Yangbo Wang, Can Gao, Jie Zhou
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning. Neurocomputing 501 (2022)
Xiaodong Yue, S. W. Liu, Q. Qian, Duo-Qian Miao, Can Gao
Semi-supervised shadowed sets for three-way classification on partial labeled data. Inf. Sci. 607 (2022)
Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue
Parameterized maximum-entropy-based three-way approximate attribute reduction. Int. J. Approx. Reason. 151 (2022)
Qinghua Wu, Jiacheng Liu, Can Gao, Biao Wang, Gaojian Shen, Zhiang Li
Improved RANSAC Point Cloud Spherical Target Detection and Parameter Estimation Method Based on Principal Curvature Constraint. Sensors 22 (15) (2022)
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30 (4) (2022)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning. ACL (Findings) (2022)
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
Robust Face Alignment by Multi-Order High-Precision Hourglass Network. IEEE Trans. Image Process. 30 (2021)
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. CoRR (2021)
Zirong Liu, Zhihui Lai, Can Gao
Multi-scale Defective Samples Synthesis for Surface Defect Detection. CCIS (2021)
Yong Li, Desheng Li, Yuwu Lu, Can Gao, Wenjing Wang, Jianglin Lu
Progressive Distribution Alignment Based on Label Correction for Unsupervised Domain Adaptation. ICME (2021)
Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue
Three-way decision with co-training for partially labeled data. Inf. Sci. 544 (2021)
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. 413 (2021)
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
Robust facial landmark detection by cross-order cross-semantic deep network. Neural Networks 136 (2021)
Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113 (2021)
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. Inf. Sci. 580 (2021)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. ACL/IJCNLP (1) (2021)
Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai
Local Learning Joint with the Adaptive Graph for Subspace Representation. ISKE (2021)
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network. CoRR (2020)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. CoRR (2020)
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. CoRR (2020)
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. ACL (2020)
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. CoRR (2020)
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
Robust Face Alignment by Multi-order High-precision Hourglass Network. CoRR (2020)
Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507 (2020)
Can Gao, Zhihui Lai, Jie Zhou, Jiajun Wen, Wai Keung Wong
Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction. Int. J. Approx. Reason. 104 (2019)
Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34 (10) (2019)
Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue
Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. Inf. Sci. 502 (2019)
Qiuyun Lyu, Ning Zheng, Huaping Liu, Can Gao, Si Chen, Junliang Liu
Remotely Access "My" Smart Home in Private: An Anti-Tracking Authentication and Key Agreement Scheme. IEEE Access 7 (2019)
Can Gao, Zhihui Lai, Jie Zhou, Cairong Zhao, Duoqian Miao
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model. Knowl. Based Syst. 143 (2018)
Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen
Feature Selection Ensemble for Symbolic Data Classification with AHP. ICPR (2018)
Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. IEEE Access 6 (2018)
Yudong Chen, Zhihui Lai, Jiajun Wen, Can Gao
Nuclear norm based two-dimensional sparse principal component analysis. Int. J. Wavelets Multiresolution Inf. Process. 16 (2) (2018)
Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. Knowl. Based Syst. 160 (2018)
Can Gao, Yumei Song, Jiajie Shen, Yuanyuan Li
Solving Location Problem of Distribution Center Based on Hybrid Particle Swarm Algorithm. J. Comput. 13 (10) (2018)
Cairong Zhao, Xuekuan Wang, Yipeng Chen, Can Gao, Wangmeng Zuo, Duoqian Miao
Consistent Iterative Multi-view Transfer Learning for Person Re-identification. ICCV Workshops (2017)
Wei Zhang, Duoqian Miao, Can Gao, Feng Li
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). 计算机科学 44 (1) (2017)
Yipeng Chen, Cairong Zhao, Xuekuan Wang, Can Gao
Robust Color Invariant Model for Person Re-Identification. CCBR (2016)
Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue
Co-training Based Attribute Reduction for Partially Labeled Data. RSKT (2014)
Jingang Wang, Can Gao, Jie Yang
Design, Experiments and Simulation of Voltage Transformers on the Basis of a Differential Input D-dot Sensor. Sensors 14 (7) (2014)
Shiming Sun, Xiuping Hou, Can Gao, Linlin Sun
Research on optimization scheme of regression testing. ICNC (2013)
Can Gao, Witold Pedrycz, Duoqian Miao
Rough subspace-based clustering ensemble for categorical data. Soft Comput. 17 (9) (2013)
Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang
Two-dimensional color uncorrelated discriminant analysis for face recognition. Neurocomputing 113 (2013)
Hongyun Zhang, Jie Zhou, Duoqian Miao, Can Gao
Bayesian rough set model: A further investigation. Int. J. Approx. Reason. 53 (4) (2012)
Duoqian Miao, Can Gao, Nan Zhang, Zhifei Zhang
Diverse reduct subspaces based co-training for partially labeled data. Int. J. Approx. Reason. 52 (8) (2011)
Can Gao, Duoqian Miao, Jie Zhou
Maximum condition entropy based attribute reduction in variable precision rough set model. GrC (2009)
Datong Chen, Ming-yu Chen, Howard D. Wactlar, Can Gao, Ashok Bharucha
Video measurement of resident-on-resident physical aggression in nursing homes. VNBA (2008)