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ORCIDJie Zhou 0009
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, China
- affiliation (PhD 2011): Tongji University, Department of Computer Science and Technology, Shanghai, China
Other persons with the same name
- Jie Zhou — disambiguation page
- Jie Zhou 0001
![[0000-0001-7701-234X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7701-234X")
— Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more) - Jie Zhou 0002 — Sichuan University, College of Mathematics, Chengdu, China
- Jie Zhou 0003 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Zhou 0004 — Shihezi University, College of Information Science and Technology, China
- Jie Zhou 0005 — Donghua University, School of Sciences, Shanghai, China
- Jie Zhou 0006 — Nanjing University of Information Science and Technology, College of Electronic and Information Engineering, China (and 2 more)
- Jie Zhou 0007 — National University of Defense Technology, College of Computer, Changsha, China
- Jie Zhou 0008 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Zhou 0010 — University of Science and Technology of China, Hefei, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, China
- Jie Zhou 0011 — North University of China, School of Mechanical Engineering, Taiyuan, Shanxi, China
- Jie Zhou 0012 — Army Engineering University, Department of Mechanical Engineering, Shijiazhuang, China
- Jie Zhou 0013 — Shanghai Jiaotong University, School of Electric Information and Electronic Engineering, China
- Jie Zhou 0014 — Zhejiang University, Department of Precision Medicine and Biopharmaceutics, Hangzhou, China
- Jie Zhou 0015 — East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China (and 2 more)
- Jie Zhou 0016 — Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
- Jie Zhou 0017 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Jie Zhou 0018 — Shanghai University of Electric Power, School of Automation Engineering, Shanghai, China
- Jie Zhou 0019 — Jiangsu University, School of Automotive and Traffic Engineering, Zhenjiang, China
- Jie Zhou 0020 — Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangzhou, China
- Jie Zhou 0021 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China (and 1 more)
- Jie Zhou 0022 — University of Rochester, Department of Computer Science, Rochester, NY, USA
- Jie Zhou 0023 — Northern Illinois University, Department of Computer Science, DeKalb, IL, USA (and 1 more)
- Jie Zhou 0024 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Zhou 0025 — Baidu Research, Institute of Deep Learning, Beijing, China
- Jie Zhou 0026 — University of Electronic Science and Technology of China, Center for Advanced Semiconductor and Integrated Micro-System, Chengdu, China
- Jie Zhou 0027 — Harbin Institute of Technology, Department of Electronic Engineering, China
- Jie Zhou 0028 — China Academy of Engineering Physics, CAEP, Institute of Electronic Engineering, China
- Jie Zhou 0029 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Jie Zhou 0030 — Shanghai University, School of Computer Engineering and Science, China
- Jie Zhou 0031 — National University of Defense Technology, NUDT, School of Electronic Science and Technology, Changsha, China
- Jie Zhou 0032 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Jie Zhou 0033 — Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
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2020 – today
- 2024
[j62]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)- [j61]Feng Xu, Mingjie Cai, Qingguo Li, Jie Zhou, Hamido Fujita:
Connection density based clustering: A graph-based denshttps://doi.org/10.1016/j.asoc.2024.111779ity clustering method. Appl. Soft Comput. 161: 111779 (2024) - [j60]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) - [j59]Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu, Jie Zhou:
GFDC: A granule fusion density-based clustering with evidential reasoning. Int. J. Approx. Reason. 164: 109075 (2024) - [j58]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) - [j57]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) - [j56]Zhihui Lai, Guangfei Liang, Jie Zhou, Heng Kong, Yuwu Lu:
A joint learning framework for optimal feature extraction and multi-class SVM. Inf. Sci. 671: 120656 (2024) - [j55]Yufei Zhu, Jiajun Wen, Zhihui Lai, Jie Zhou, Heng Kong:
LPRR: Locality preserving robust regression based jointly sparse feature extraction. Inf. Sci. 680: 121128 (2024) - [j54]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) - [j53]Yanping Li, Duoqian Miao, Hongyun Zhang, Jie Zhou, Cairong Zhao:
Multi-granularity Cross Transformer Network for person re-identification. Pattern Recognit. 150: 110362 (2024) - [j52]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) - [j51]Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung:
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. IEEE Trans. Cybern. 54(1): 533-545 (2024) - [j50]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) - [j49]Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen:
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 591-603 (2024) - [j48]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) - [j47]Jin Qian, Yuehua Lu, Ying Yu, Jie Zhou, Duoqian Miao:
Hierarchical Sequential Three-Way Multiattribute Decision-Making Method Based on Regret Theory in Multiscale Fuzzy Decision Systems. IEEE Trans. Fuzzy Syst. 32(9): 4961-4975 (2024) - [j46]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) - [i12]Junhong Zhang, Zhihui Lai, Jie Zhou, Guangfei Liang:
NPSVC++: Nonparallel Classifiers Encounter Representation Learning. CoRR abs/2402.06010 (2024) - [i11]Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen:
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. CoRR abs/2404.05253 (2024) - [i10]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
- [j45]Ziming Luo, Can Gao, Jie Zhou:
Rough sets-based tri-trade for partially labeled data. Appl. Intell. 53(14): 17708-17726 (2023) - [j44]Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen:
Three-way decision-based co-detection for outliers. Int. J. Approx. Reason. 160: 108971 (2023) - [j43]Zhihui Lai, Yiling Lin, Jiacan Zheng, Jie Zhou, Heng Kong:
Generalized multiview regression for feature extraction. Inf. Sci. 648: 119570 (2023) - [j42]Yiling Lin, Zhihui Lai, Jie Zhou, Jiajun Wen, Heng Kong:
Multiview Jointly Sparse Discriminant Common Subspace Learning. Pattern Recognit. 138: 109342 (2023) - [j41]Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu:
Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. 140: 109485 (2023) - [j40]Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun:
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. IEEE Trans. Cybern. 53(6): 3546-3560 (2023) - [j39]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) - [j38]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. IEEE Trans. Image Process. 32: 1966-1977 (2023) - [j37]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) - [c11]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 - [i9]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. CoRR abs/2303.07840 (2023) - [i8]Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu, Jie Zhou:
GFDC: A Granule Fusion Density-Based Clustering with Evidential Reasoning. CoRR abs/2305.12114 (2023) - 2022
- [j36]Yizhu Li, Mingjie Cai, Jie Zhou, Qingguo Li:
Accelerated multi-granularity reduction based on neighborhood rough sets. Appl. Intell. 52(15): 17636-17651 (2022) - [j35]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) - [j34]Can Gao, Zhicheng Wang, Jie Zhou:
Three-way approximate reduct based on information-theoretic measure. Int. J. Approx. Reason. 142: 324-337 (2022) - [j33]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) - [j32]Yangbo Wang, Can Gao, Jie Zhou:
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning. Neurocomputing 501: 436-450 (2022) - [j31]Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen:
Deep asymmetric hashing with dual semantic regression and class structure quantization. Inf. Sci. 589: 235-249 (2022) - [j30]Linchao Pan, Can Gao, Jie Zhou:
Three-way decision-based tri-training with entropy minimization. Inf. Sci. 610: 33-51 (2022) - [j29]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) - [j28]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) - [j27]Yuwu Lu, Desheng Li, Wenjing Wang, Zhihui Lai, Jie Zhou, Xuelong Li:
Discriminative Invariant Alignment for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24: 1871-1882 (2022) - [j26]Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen:
Generalized Embedding Regression: A Framework for Supervised Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 33(1): 185-199 (2022) - [j25]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) - [c10]Ge Yuan, Jie Zhou, Qiongbin Chen:
Rough-Fuzzy Clustering Based on Adaptive Weighted Values and Three-Way Decisions. IJCRS 2022: 420-429 - [i7]Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung:
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. CoRR abs/2206.12592 (2022) - 2021
- [j24]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) - [j23]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) - [j22]Jianglin Lu, Jingxu Lin, Zhihui Lai, Hailing Wang, Jie Zhou:
Target redirected regression with dynamic neighborhood structure. Inf. Sci. 544: 564-584 (2021) - [j21]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) - [j20]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) - [j19]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) - [j18]Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu:
Low-rank adaptive graph embedding for unsupervised feature extraction. Pattern Recognit. 113: 107758 (2021) - [j17]Dongmei Mo, Wai Keung Wong, Zhihui Lai, Jie Zhou:
Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection. IEEE Trans Autom. Sci. Eng. 18(3): 1170-1190 (2021) - [j16]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) - [c9]Jiacan Zheng, Zhihui Lai, Jianglin Lu, Jie Zhou:
Low-Rank Correlation Analysis for Discriminative Subspace Learning. ACPR (2) 2021: 87-100 - [c8]Chuangquan Lin, Zhihui Lai, Jianglin Lu, Jie Zhou:
Fast Deep Asymmetric Hashing for Image Retrieval. ACPR (2) 2021: 411-420 - [c7]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) - [i5]Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen:
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization. CoRR abs/2110.12478 (2021) - [i4]Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun:
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. CoRR abs/2112.12328 (2021) - 2020
- [j15]Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue:
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507: 553-573 (2020) - [j14]Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao:
Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. IEEE Trans. Fuzzy Syst. 28(5): 978-991 (2020) - [c6]Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Analytic Hierarchy Process. ICONIP (4) 2020: 41-49 - [c5]Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou:
Label Self-Adaption Hashing for Image Retrieval. ICPR 2020: 2256-2263 - [i3]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) - [i2]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) - [i1]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)
2010 – 2019
- 2019
- [j13]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) - [j12]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) - [j11]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) - [c4]Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Determinantal Point Processes. ICONIP (3) 2019: 621-633 - 2018
- [j10]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) - [j9]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) - [j8]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) - 2017
- [c3]Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen:
Efficient Neighborhood Covering Reduction with Submodular Function Optimization. ICONIP (1) 2017: 505-514 - 2012
- [j7]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
- [j6]Jie Zhou, Witold Pedrycz, Duoqian Miao:
Shadowed sets in the characterization of rough-fuzzy clustering. Pattern Recognit. 44(8): 1738-1749 (2011) - [j5]Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang:
Analysis of alternative objective functions for attribute reduction in complete decision tables. Soft Comput. 15(8): 1601-1616 (2011) - [j4]Jie Zhou, Duoqian Miao:
β-Interval attribute reduction in variable precision rough set model. Soft Comput. 15(8): 1643-1656 (2011) - 2010
- [j3]Na Jiao, Duoqian Miao, Jie Zhou:
Two novel feature selection methods based on decomposition and composition. Expert Syst. Appl. 37(12): 7419-7426 (2010) - [j2]Qinrong Feng, Duoqian Miao, Jie Zhou, Yi Cheng:
A novel measure of knowledge granularity in rough sets. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(3): 233-251 (2010)
2000 – 2009
- 2009
- [j1]Jia-yang Wang, Jie Zhou:
Research of reduct features in the variable precision rough set model. Neurocomputing 72(10-12): 2643-2648 (2009) - [c2]Can Gao, Duoqian Miao, Jie Zhou:
Maximum condition entropy based attribute reduction in variable precision rough set model. GrC 2009: 166-170 - [c1]Jie Zhou, Duoqian Miao, Qinrong Feng, Lijun Sun:
Research on Complete Algorithms for Minimal Attribute Reduction. RSKT 2009: 152-159
Coauthor Index
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