Submitted Papers

[9] Qianqian Sun, 张红英*, Graph-based Infinite Supervised Heterogeneous Feature Selection, Submitted to IEEE Transactions on 

      Network Science and Engineering, 2nd  Review

[8] Yajun Pan, Jingqi Liu, Kezhen Dong, Hongying Zhang, AG²CD: Anchor Graph based Fast Community Detection in Attributed 

      Graphs, Submitted,   Under Review.

[7] Yijin Gong, Hao Chen, Suyun Zhao , Hongying Zhang*, TA²GCC: Task-driven Active Attributed Graph Contrastive 

     Clustering,  Submitted,   Under Review.

[6] Junyi Li, Hao Chen, Zengjie Song, Hongying Zhang*, TM-CLIP: Task-driven Multi-granularity Visual and Textual Alignment, 

      Submitted,  Under Review.

[5] Jingqi Liu, Hongying Zhang*, Kezhen Dong, FastGrail: Fast anchor-gragh-based adaptive partial multi-label learning with label correlations,  

     submitted, Under Review.

[4] 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, Under  Review.

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

     and Image  representation,  Submitted, Under Review.

[1] Kezhen Dong, Hongying Zhang*, Qianqian Sun, Kexue Li, Jiangjun Peng, and Min-Ling Zhang, Adaptive Fast Partial Label Feature Selection

     with Anchor Graph, Submitted, Under Review.

Selected Recent Journal Papers

[31] Ruxiao Zhang, Hongying Zhang^*,Yuhua Qian,Three-way Space Structure for Clustering Categorical Data, International Journal of Approximate   

     Reasoning,  2025, 184: 109457.

[30] Jianping Liu, Hongying Zhang^*, Kezhen Dong, and Feiping Nie, Robust jointly sparse fuzzy clustering via anchor graph, IEEE Transactions on     

     Fuzzy Systems, 2025, 33(7): 2284-2294.

[29]Guanzhang Liu, Xinyi Wan, Hongying Zhang, and Jiang Xue,Variable-Depth Learning Architecture to Adaptive Multi-User Channel Prediction,

      IEEE Transactions on Wireless  Communications, In Press.

[28]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.

 

[27]Qianqian Sun, Hongying Zhang*, and Weiping Ding, Semi-supervised partially labeled heterogeneous feature selection based on information-

       theoretic three-way decision model, Applied Soft Computing, 2025, 174:112880.

 

[26] Guanzhang Liu, Hu ZY, Wang L, Hongying Zhang, Xue J, Matthaiou M, A Hypernetwork Based Framework for Non-Stationary Channel

   Prediction, IEEE Transactions on Vehicular Technology, 2024, 73 : 8338- 8351. 

 

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

       Pursuit. SIAM Journal on Imaging Sciences, 2024,17(2).  1182-1205.

 

[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 )