Submitted Papers

[1] Jianping Liu, Hongying Zhang^*, Kezhen Dong, and Feiping Nie, Robust jointly sparse fuzzy clustering via anchor graph, Submitted, 

     2^nd Review.

[2] Aohan Zhang, Hongying Zhang^*, and Kezhen Dong. Contrastive active adaptive partial label learning under class distribution     

     mismatch. Submitted, Under  Review.

[3]Kezhen Dong, Zhongying Suo, Hao Chen, Fei Hao, and Hongying Zhang^*. Double Sparse GNN-Based Contrastive Few-Shot Learning

    for Distorted SAR Image Classification, Submitted, 2^nd Review.

[4] Hao Chen, Kezhen Dong, Junyi Li, and Hongying Zhang^*, MMC: Multi-Granularity Multi-Modal Contrastive Learning for Sentence

     and Image  representation,  Submitted, Under Review.

[5] Ruxiao Zhang, Hongying Zhang^*,Yuhua Qian,Three-way Space Structure for Clustering Categorical Data, Submitted.

Selected Recent Journal Papers

[26]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Qian Zhao, Jing Ya, Hongying Zhang, and Deyu Meng, Learnable Representative 

     Coefficient Image Denoiser for Hyperspectral Image，IEEE Transactions on Geoscience and Remote Sensing, Accepted.

 

[25]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng. Stable Local-smooth Principal Component

      Pursuit. SIAM Journal on Imaging Sciences, Accepted.

 

[24] Hongying Zhang, Qianqian Sun, Kezhen Dong, Information-theoretic partially labeled heterogeneous feature selection based on     

      neighborhood rough sets, International Journal of Approximate Reasoning, 2023 (154): 200–217.

 

[23] Shuyun Yang, Hongying Zhang, Guang Shi , Yingjian Zhang，Attribute reductions of quantitative dominance-based neighborhood   

       rough sets with A-stochastic transitivity of fuzzy preference relations，Applied Soft Computing, 2023 (134): 109994.

 

[22]张红英，董珂臻, 稀疏统计学习及其最新研究进展综述，西南师范大学学报(自然科学版)  48 (4), 2023, 1-12.

 

[21] Jiangjun Peng, Yao Wang, Hongying Zhang, et. al., Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse

        Matrices[J], IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 2023:5766-5781.

 

[20] Zahid Rasheed, Hongying Zhang* et al., Designing Efficient Dispersion Control Charts under Various Ranked Set Sampling

       Approaches[J], Journal of Computational and Applied Mathematics, 2023: 115680.

 

[19] Zahid Rasheed, Hongying Zhang* et al., Reassessment of Performance Evaluation of EWMA Control Chart for Exponential Process[J],

       Quality and Reliability Engineering International. 2023;00:1-12.

 

[18] Shuyun Yang, Hongying Zhang*, Bernard De Baets, Moriba Jah, and Guang Shi, Quantitative dominance-based neighborhood rough

       sets via fuzzy preference relations, IEEE Transactions on Fuzzy Systems,  29(3), 515-529,2021. (DOI 10.1109/TFUZZ.2019.2955883).

 

[17] Hongying Zhang, Shuyun Yang,Uncertainty analysis of hierarchical granular structures for multi-granulation typical hesitant fuzzy

      approximation  space，Iranian Journal  of Fuzzy Systems, 2020, 17(4): 69-84.

 

[16] Hu Zhao, Hongying Zhang, On hesitant neutrosophic rough set over two universes and its application，Artificial Intelligence Review

         https://doi.org/10.1007/s10462-019-09795-4.

 

[15] Hongying Zhang, Shuyun Yang, Three-way group decisions with interval-valued decision-theoretic rough sets based on aggregating    inclusion measures, International Journal of Approximate Reasoning, 2019, 110: 31-45.

 

[14] Hongying Zhang, Haijuan Song, Shuyun Yang, Feature selection based on generalized variable precision fuzzy rough set model over

         two  universes,    International Journal of Machine Learning  and Cybernetics, 2019, 10(5) , 913–924. 

 

 [13] Hongying Zhang, Haijuan Song, Shuyun Yang, Feature selection based on generalized variable precision $(vartheta,sigma)$- fuzzy

         rough set model over two universes, International Journal of Machine Learning and Cybernetics, 2017, https://doi.org/10.1007/s13042-           017-0770-9.

 

 [12] Hongying Zhang, Shuyun Yang, Feature selection and approximate reasoning of large-scale set-valued decision tables based on

        dominance-based quantitative rough sets. Information Scirnces, 2017, 378：328–347 . (SCI: DG7YH)

 

 [11] Hongying Zhang, Haijuan Song, On simplified axiomatic characterizations of $(vartheta,sigma)$-fuzzy rough approximation

        operators, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2017, 25(3): 457-476. (SCI: EY8PN)

 

 [10] Hongying Zhang, Shuyun Yang, Ranking interval sets based on inclusion measures and applications to three-way decisions，

   Knowledge-Based Systems, 2016, 91: 62-70.( SCI: CZ5CM)

 

 [09] Hongying Zhang, Shuyun Yang, Inclusion measure for typical hesitant fuzzy sets, the relative similarity measure and fuzzy entropy,

        Soft Computing, 2016, 20: 1277–1287. (SCI: DG7YH)

 

[08] Hongying Zhang，Shunyun Yang，On inclusion measures of intuitionistic and interval-valued intuitionistic  fuzzy values and their

         applications to group decision making，International Journal of Machine Learning and Cybernetics,  2016, 7: 833-843. (SCI: DW7RM)

 

 [07] Hongying Zhang, Shuyun Yang, Representation of typical hesitant fuzzy rough sets, Journal of Intelligent and Fuzzy Systems, 2016, 31(1):

        457-468. (SCI: DP6EB)

 

 [06] Hongying Zhang, Yee Leung, Lei Zhou, Variable-precision-dominance- based rough set approach to interval-valued information systems.

          Information Sciences, 2013, 244: 75-91. (SCI：178XD)

 

 [05] Hongying Zhang, Approaches to group decision making with incomplete information based on power geometric operators and triangular

          fuzzy AHP, Expert Systems with Applications, 2015, 42(21): 7846-7857. (SCI: CQ7HB)

 

 [04] Hongying Zhang, Minggao Dong, Jianjun Qi and Wenxiu Zhang, Representations of interval-valued fuzzy T-equivalence relations.

        Information-An International Interdisciplinary Journal. 2011, 14 (1): 51-63. ( SCI: 739PZ )

 

 [03] Hongying Zhang, Wenxiu Zhang, Hybrid monotonic inclusion measure and its use in Measuring similarity and distance between fuzzy

         sets. Fuzzy Sets and Systems. 2009, 160: 107-118. ( SCI: 379TN; EI: 084311655064)

 

 [02] Hongying Zhang, Wenxiu Zhang, Changlin Mei, Entropy of interval-valued fuzzy setsbased on distance and its relationship with

         similarity measure. Knowledge-Based Systems. 2009, 22: 449-454. ( SCI：488IC；EI: 20093012210227)

 

 [01] Hongying Zhang, Wenxiu Zhang, Weizhi Wu, On characterization of generalized interval-valued fuzzy rough sets. International Journal

         of Approximate Reasoning. 2009, 51: 56-70. ( SCI: 530OA；EI: 20095112552447 )