[1] 李梦, 何强, 陈琳琳, 王恒友, 基于特征增强的遥感图像极端目标检测算法, 昆明理工大学学报(自然科学版)，录用. 

[2] 石瑞年, 何强, 王恒友, 陈琳琳, 动态运动约束下的视频异常检测, 重庆邮电大学学报(自然科学版)，37(1), (2025), 110-120.

[3] 施宇航, 何强, 王恒友, 基于时空增强双分支图卷积网络的骨骼行为识别, 山西大学学报(自然科学版)，48(1), (2025), 55-65.

[4] 孙芸倩, 何强, 陈琳琳, 基于差异特征补偿Transformer的遥感图像变化检测, 河北师范大学学报(自然科学版), 48(6), (2024), 541-551.

[5] Qiang He, Ruinian Shi, Linlin Chen, Lianzhi Huo, Video anomaly detection based on multi‑scale optical flow spatio‑temporal enhancement and normality mining, International Journal of Machine Learning and Cybernetics, 16(3), (2025), 1873–1888.

[6] Qiang He, Meng Li, Lianzhi Huo, Linlin Chen, Learning to detect extreme objects for remote sensing images, International Journal of Machine Learning and Cybernetics, 15(7), (2024), 2719–2736.

[7] Qiang He, Guanqun Wang, Hengyou Wang, Linlin Chen, Multivariate time-series anomaly detection via temporal convolutional and graph attention networks, Journal of Intelligent & Fuzzy Systems, 44(4), (2023), 5953–5962.

[8] Qiang He, Guanqun Wang, Lianzhi Huo, Hengyou Wang, Changlun Zhang, ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series, Journal of Intelligent & Fuzzy Systems, 44(6), (2023), 9039-9051.

[9] 李静，何强，张长伦，王恒友，基于全局注意力的室内人数统计模型，计算机工程与科学， 44(3), (2022), 471-478.

[10] 米雪荣, 王恒友, 何强, 张长伦, 多矩阵低秩分解的鲁棒特征提取, 数据采集与处理, 36(3), (2021), 477-488.

[11] 张翠文, 张长伦, 何强, 王恒友, 目标检测中框回归损失函数的研究, 计算机工程与应用, 57(20), (2021), 97-103.

[12] Qiang He, Qingshuo Zhang, Hengyou Wang, Changlun Zhang, Local Similarity Based Fuzzy Multiple Kernel One-class Support Vector Machine, COMPLEXITY, 2020, 

[13] Qiang He, Yujing Zheng, Changlun Zhang, Hengyou Wang, MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern, COMPLEXITY, 2020.

[14] 郑育靖，何强，张长伦，王恒友，基于GRU-Attention的无监督多变量时间序列异常检测，山西大学学报(自然科学版)， 43(4期), (2020), 754-764.

[15] 张庆朔，何强，张长伦，王恒友, 模糊多核一类支持向量机. 北京建筑大学学报, 36(1), (2020).

[16] 何强，张娇阳．核对齐多核模糊支持向量机．智能系统学报, 14(6), (2019), 1163-1169. 

[17] Qiang He, Qingshuo Zhang, Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine, 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, October 6-9, 2019.

[18] Changzhong Wang, Qiang He, Mingwen Shao, Qinghua Hu. Feature selection based on maximal neighborhood discernibility. International Journal of Machine Learning and Cybernetics. 9(11), (2018), 1929-1940.

[19] 陈俊芬, 张明, 何强, 基于启发式确定类数的NJW谱聚类算法, 计算机科学, 45(11A), (2018), 474-479.

Changzhong Wang, Qiang He, Mingwen Shao, Yangyang Xu, Qinghua Hu, A unified information measure for general binary relations, Knowledge-Based Systems, 135, (2017), 18-28.

[20] Changzhong Wang, Qiang He, Degang Chen, Qinghua Hu. A novel method for attribute reduction of covering decision systems. Information Sciences, 254, (2014), 181-196.

[21] Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu, Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing, 74(10), (2011), 1585-1594.

[22] Qiang He, Congxin Wu, Membership Evaluation and Feature Selection for Fuzzy Support Vector Machine Based on Fuzzy Rough Sets. Soft Computing. 15(6), (2011), 1105-1114.

[23] Qiang He, Congxin Wu, Degang Chen, Suyun Zhao, Fuzzy rough set based attribute reduction for information systems using fuzzy decisions. Knowledge-based Systems. 24(5), (2011), 689–696.

[24] Qiang He, Congxin Wu, Separating theorem of samples in Banach space for support vector machine learning. International Journal of Machine Learning and Cybernetics, 2(1), (2011), 49-54.

[25] Qiang He, Hongliang Li, Separation theorem and maximal margin classification for fuzzy number spaces, 2011 International Conference on Machine Learning and Cybernetics, 2011, 278-281.

[26] Degang Chen, Sam Kwong, Qiang He, Hui Wang, Geometrical interpretation and applications of membership functions with fuzzy rough sets, Fuzzy Sets and Systems, 193, (2012), 122–135.

[27] Degang Chen, Qiang He, Xizhao Wang, FRSVMs: Fuzzy rough set based support vector machines, Fuzzy Sets and Systems, 161(4), (2010), 596-607.

[28] Junfen Chen, Qiang He, Yan Li, Different Types Classifiers Combination Based on the Choquet Integrals in Classification, The 2010 International Conference on Systems, Man and Cybernetics, 2010, 4056 – 406.