Submitted Papers

[6]Kezhen Dong , 张红英* , TARGET: Efficient and Generalizable  Multi-View  Partial  Multi-Label Learning via Anchor Graphs  and High-Order  Tensor  Correlation, Submitted, Under Review.

[5] ]Hao Chen，Jian Sun, Chuan Shi, Hongying Zhang^*, Euclidean Crowding–Driven Adaptive Euclidean–Hyperbolic Graph Learning, Submitted, Under Review.

[4] Qianqian Sun, Hongying Zhang^*, Graph-based Infinite Supervised Heterogeneous Feature Selection, Submitted to IEEE Transactions on Network Science and Engineering, 2^nd Review

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

[39] Kezhen Dong, Zhongying Suo, Hao Chen, Fei Hao, Hongying Zhang*. LassoNet-GNN： A Catalyst for Few-Shot Distorted SAR Image Classification.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Accepted.

[38] Yajun Pan, Jingqi Liu, Kezhen Dong*, Hongying Zhang*, AG²CD: anchor graph based fast community detection in attributed graphs, Expert Systems with  Applications, 2026, 319: 132051.

[37]Jingqi Liu,Hongying Zhang*, Kezhen Dong, FastGrail: Fast anchor-gragh-based adaptive partial multi-label learning with label  correlations,Pattern Recognition, 2026, 178: 113457.

[36]Xinlan Xu, Fei Hao, Bo Li, Hongying Zhang, Wangyang Yu, Geyong Min, Vertex entanglement-enhanced graph contrastive learning, IEEE Transactions on Computational Social Systems, 2026, DOI: 10.1109/TCSS.2026.3660378

[35] 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.

[34] Aohan Zhang, Hongying Zhang^*, and Kezhen Dong. Contrastive active adaptive partial label learning under class distribution     mismatch. Engineering Applications of Artificial Intelligence, 2025,162: 112401.

[33] Ruxiao Zhang, Hongying Zhang^*,Yuhua Qian,Three-way Space Structure for Clustering Categorical Data, International Journal of Approximate Reasoning,  2025, 184: 109457.

[32]薛亚林，孙孟姊，张红英，弓孟春，孟祥丽，孟晓军，李勇，王友发，人工智能在医疗与健康管理中的应用现状与发展趋势，中国预防医学杂志，2025, 26 (5): 521-528.  

[31] Xinlan Xu, Fei Hao, Mingming Kong, Hongying Zhang, Bo Li, Short text classification with vertex entanglement enhanced graph contrastive learning, 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 672-679.

[30]Zahid Rasheed, Hongying Zhang^* et al., Modified exponentially weighted moving average control chart for monitoring process dispersion, Communications in Statistics - Simulation and Computation, 2025, 54 (9): 3545-3572.

[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, 2025,24(8):6413-6428.

[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 decisionsKnowledge-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 fuzzysets. 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 )