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2020 – today
- 2024
[j48]Yufei Zhu
, Zhihui Lai, Can Gao, Heng Kong:
Generalized robust linear discriminant analysis for jointly sparse learning. Appl. Intell. 54(19): 9508-9523 (2024)- [j47]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: 111117 (2024) - [j46]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: 112010 (2024) - [j45]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: 109253 (2024) - [j44]Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Xinrui Shen, Xu Wu:
Weighted Subspace Fuzzy Clustering with Adaptive Projection. Int. J. Intell. Syst. 2024: 1-18 (2024) - [j43]Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen:
Unsupervised fabric defect detection with high-frequency feature mapping. Multim. Tools Appl. 83(7): 21615-21632 (2024) - [j42]Yangbo Wang, Jie Zhou, Jianglin Lu, Jun Wan, Can Gao, Qingshui Lin:
Robust Self-expression Learning with Adaptive Noise Perception. Pattern Recognit. 155: 110695 (2024) - [j41]Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz:
Fuzzy Clustering Guided by Spectral Rotation and Scaling. IEEE Trans. Cybern. 54(11): 6471-6484 (2024) - [j40]Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3779-3792 (2024) - [j39]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): 10776-10790 (2024) - [c17]Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen:
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. ACM Multimedia 2024: 4680-4689 - [i10]Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen:
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. CoRR abs/2408.04604 (2024) - [i9]Xu Wu, Zhihui Lai, Jie Zhou, Can Gao, Xianxu Hou, Ya-nan Zhang, Linlin Shen:
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study. CoRR abs/2409.14461 (2024) - 2023
- [j38]Ziming Luo, Can Gao, Jie Zhou:
Rough sets-based tri-trade for partially labeled data. Appl. Intell. 53(14): 17708-17726 (2023) - [j37]Jintao Luo, Can Gao, Da Wan, Linlin Shen:
Texture and semantic convolutional auto-encoder for anomaly detection and segmentation. IET Comput. Vis. 17(7): 829-843 (2023) - [j36]Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen:
Three-way decision-based co-detection for outliers. Int. J. Approx. Reason. 160: 108971 (2023) - [j35]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): 256 (2023) - [j34]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): 1636-1650 (2023) - [j33]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): 5060-5075 (2023) - [c16]Yangbo Wang, Jie Zhou, Qingshui Lin, Jianglin Lu, Can Gao:
SSC-l0: Sparse Subspace Clustering with the l0 Inequality Constraint. ACPR (3) 2023: 136-149 - [c15]Yuanbo Sun, Can Gao:
NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning. PRCV (8) 2023: 15-27 - [i8]Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin:
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. CoRR abs/2305.13697 (2023) - 2022
- [j32]Jinming Xing, Can Gao, Jie Zhou:
Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis. Appl. Soft Comput. 124: 109025 (2022) - [j31]Can Gao, Zhicheng Wang, Jie Zhou:
Three-way approximate reduct based on information-theoretic measure. Int. J. Approx. Reason. 142: 324-337 (2022) - [j30]Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue:
Parameterized maximum-entropy-based three-way approximate attribute reduction. Int. J. Approx. Reason. 151: 85-100 (2022) - [j29]Yangbo Wang, Can Gao, Jie Zhou:
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning. Neurocomputing 501: 436-450 (2022) - [j28]Xiaodong Yue, S. W. Liu, Q. Qian, Duoqian Miao, Can Gao:
Semi-supervised shadowed sets for three-way classification on partial labeled data. Inf. Sci. 607: 1372-1390 (2022) - [j27]Linchao Pan, Can Gao, Jie Zhou:
Three-way decision-based tri-training with entropy minimization. Inf. Sci. 610: 33-51 (2022) - [j26]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): 2013-2032 (2022) - [j25]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): 5850 (2022) - [j24]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): 1073-1087 (2022) - [j23]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): 2181-2194 (2022) - [c14]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: 3187-3201 - [c13]Xingchen Liu, Liuxin Wang, Linchao Pan, Can Gao:
Kernelized Fuzzy Rough Sets-Based Three-Way Feature Selection. IJCRS 2022: 376-389 - [i7]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 abs/2203.09067 (2022) - 2021
- [j22]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: 74-98 (2021) - [j21]Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue:
Three-way decision with co-training for partially labeled data. Inf. Sci. 544: 500-518 (2021) - [j20]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: 111-128 (2021) - [j19]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: 233-243 (2021) - [j18]Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan:
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113: 107748 (2021) - [j17]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: 121-133 (2021) - [c12]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: 2592-2607 - [c11]Zirong Liu, Zhihui Lai, Can Gao:
Multi-scale Defective Samples Synthesis for Surface Defect Detection. CCIS 2021: 224-229 - [c10]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: 1-6 - [c9]Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai:
Local Learning Joint with the Adaptive Graph for Subspace Representation. ISKE 2021: 207-214 - [i6]Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan:
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. CoRR abs/2101.09495 (2021) - 2020
- [j16]Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue:
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507: 553-573 (2020) - [c8]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: 4067-4076 - [i5]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 abs/2005.05635 (2020) - [i4]Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao:
Robust Face Alignment by Multi-order High-precision Hourglass Network. CoRR abs/2010.08722 (2020) - [i3]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 abs/2011.07777 (2020) - [i2]Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao:
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. CoRR abs/2012.04927 (2020) - [i1]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 abs/2012.15409 (2020)
2010 – 2019
- 2019
- [j15]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: 41835-41851 (2019) - [j14]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: 9-24 (2019) - [j13]Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue:
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34(10): 2655-2675 (2019) - [j12]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: 247-267 (2019) - 2018
- [j11]Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong:
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. IEEE Access 6: 27541-27554 (2018) - [j10]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): 1840002:1-1840002:16 (2018) - [j9]Can Gao, Yumei Song, Jiajie Shen, Yuanyuan Li:
Solving Location Problem of Distribution Center Based on Hybrid Particle Swarm Algorithm. J. Comput. 13(10): 1185-1191 (2018) - [j8]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: 179-191 (2018) - [j7]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: 144-166 (2018) - [c7]Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen:
Feature Selection Ensemble for Symbolic Data Classification with AHP. ICPR 2018: 868-873 - 2017
- [j6]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): 25-31 (2017) - [c6]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: 1087-1094 - 2016
- [c5]Yipeng Chen, Cairong Zhao, Xuekuan Wang, Can Gao:
Robust Color Invariant Model for Person Re-Identification. CCBR 2016: 695-702 - 2014
- [j5]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): 12771-12783 (2014) - [c4]Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue:
Co-training Based Attribute Reduction for Partially Labeled Data. RSKT 2014: 77-88 - 2013
- [j4]Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang:
Two-dimensional color uncorrelated discriminant analysis for face recognition. Neurocomputing 113: 251-261 (2013) - [j3]Can Gao, Witold Pedrycz, Duoqian Miao:
Rough subspace-based clustering ensemble for categorical data. Soft Comput. 17(9): 1643-1658 (2013) - [c3]Shiming Sun, Xiuping Hou, Can Gao, Linlin Sun:
Research on optimization scheme of regression testing. ICNC 2013: 1628-1632 - 2012
- [j2]Hongyun Zhang, Jie Zhou, Duoqian Miao, Can Gao:
Bayesian rough set model: A further investigation. Int. J. Approx. Reason. 53(4): 541-557 (2012) - 2011
- [j1]Duoqian Miao, Can Gao, Nan Zhang, Zhifei Zhang:
Diverse reduct subspaces based co-training for partially labeled data. Int. J. Approx. Reason. 52(8): 1103-1117 (2011)
2000 – 2009
- 2009
- [c2]Can Gao, Duoqian Miao, Jie Zhou:
Maximum condition entropy based attribute reduction in variable precision rough set model. GrC 2009: 166-170 - 2008
- [c1]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: 61-68
Coauthor Index
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last updated on 2024-12-04 21:12 CET by the dblp team
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