花强教授简介 - 数学与信息科学学院
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师资队伍

花强教授简介

 

花强，教授，软件工程专业硕士生导师。

 

  • 研究方向：机器学习、深度学习、大数据处理等。

 

  • 学术兼职： 中国工业与应用数学学会数学建模专委会委员；河北省工业与应用数学学会副理事长兼秘书长；全国大学生数学建模竞赛河北赛区组委会秘书长；中国人工智能学会会员。

 

  • 教授课程：机器学习与模式识别，深度学习，数学模型，凸优化理论及其应用。

 

  • 工作简历：1999年任教以来致力于机器学习、模式识别理论和应用的研究，2009年在职申请南京航空航天大学计算机科学与应用专业博士课程并多次受资助赴海外参与学术交流：2002年7月-11月受香港特区政府资助赴香港理工大学合作访问，2003年12月-2004年4月受河北省政府资助赴加拿大北哥伦比亚大学学习访问，2013年9月-2014年1月受国家留学基金委资助赴加拿大西蒙佛雷泽大学合作访问。曾荣获河北省自然科学一等奖1项，河北省自然科学三等奖2项。发表论文近50篇，大部分被SCI、EI检索（高被引论文1篇）。2013年以来，主持参加横、纵科研项目多项：曾参与国家自然科学基金项目2项，曾主持河北省自然科学基金项目1项，主研横向课题1项。主持河北省教育厅重点项目1项以及河北省教育厅教改课题1项。主持河北省金课一门，主持河北省研究生示范课程一门。获2项发明专利授权。主编\副主编2本教材，合著1本专业著作。

 

  • 荣誉称号：河北省师德先进个人（2017年）；河北大学第三届最美河大人（2019年）；河北大学首届学生最喜爱的教师（2020年）；全国大学生数学建模竞赛优秀组织工作者（2021年）；河北大学教学名师（2022年）；

 

  • 研究生培养：现在读研究生14人。近年毕业并取得硕士学位研究生16名，其中2名攻读博士。学生就业方向较灵活，分别在政府部门、IT公司、高校、银行、医院等单位入职。

 

  • 招生基础：欢迎对深度学习、大数据处理、机器学习有兴趣的研究生报考。建议报考学术具备高等数学、优化、统计课程基础，掌握python语言。

 

  • 联系方式：huaq@hbu.edu.cn。

 

  • 在研项目（2023-2025）：科技部重点研发计划项目：“基于数据驱动的光伏发电协同调度优化研究”，2022YFE0196100，50万元.

 

  • 发表论文（2018-今）：
    • Chunru Dong, Wenqing Xu, Feng Zhang, Qiang Hua*, Yong Zhang. MEAI-Net: Multiview embedding and attention interaction for multivariate time series forecasting, NeuroComputing. 2025. Accepted.(SCI)
    • Yuchen Liu, Qiang Hua*, Linlin Chen, et al. A Multi-scale neighbourhood feature interaction network for photovoltaic cell defect detection[J]. Knowledge-Based Systems, 309: 112882, 2025.(SCI)
    • Qiang Hua, Haoran Chu, Feng Zhang, Yong Zhang, and Chunru Dong*. TFDN: A reliable hybrid time and frequency domain-based model for photovoltaic power generation time series forecasting. International Journal of Machine Learning and Cybernetics. 2025, 1-19. 10.1007/s13042-024-02513-9. (SCI)
    • Qiang Hua, Jiachao Zhou, Feng Zhang, Chunru Dong*, and Dachuan Xu, Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation,” in Tsinghua Science and Technology, vol. 30, no. 2, pp. 585-599, April 2025, doi: 10.26599/TST.2023.9010143. (SCI)
    • Chunru Dong, Linlin Chen, Yuchen Liu, Qiang Hua, Yong Zhang, and Feng Zhang*, An improved feature aggregation network for photovoltaic cell defect detection, Journal of Renewable and Sustainable Energy, 2025. (SCI)
    • Xicheng Li, Feng Zhang*, Qiang Hua, Chun-Ru Dong, A deep spatiotemporal interaction network for multimodal sentimental analysis and emotion recognition, Information Science, 690, 2025. (SCI)
    • Xiaohui Zhong, Jinlei Zhang, Qiang Hua, Lixing Yang, Ziyou Gao. Short-Term Origin-Destination Demand Prediction Based on Spatiotemporal Encoder-Decoder Network with a Residual Feature Extractor. Transportation Research Record: Journal of the Transportation Research Board. 2024, 2678. 10.1177/03611981241248160. (SCI)
    • Feng Zhang, YingYing Cheng, Qiang Hua, ChunRu Dong, Yong Zhang*, Tingdong Wu, A Multiscale Spatiotemporal Attention Network for Ground-Based Remote Sensing Cloud Image Sequence Prediction. IEEE Transactions on Geoscience and Remote Sensing, 62, 2024, DOI:10.1109/TGRS.2024.3485581. (SCI)
    • Yaohui Li, Feng Zhang*, Qiang Hua*, Xiaohua Zhou, Integrating human learning and reinforcement learning: A novel approach to agent training, Knowledge-Based Systems, online published, 2024. (SCI)
    • Wang Zhao, Yong Zhang, Qiang Hua, Chunru Dong, Jianan Wang, Feng Zhang*, MSA-HCL: Multimodal Sentiment Analysis Model with Hybrid Contrastive Learning, Mathematical Foundations of Computing, 2024:1-15. (SCI)
    • Chunru Dong, Junyan Zhang, Feng Zhang*, Qiang Hua, Dachuan Xu, A novel Deep High-level Concept-mining Jointing Hashing Model for Unsupervised Cross-Modal Retrieval, High-Confidence Computing, 2024. (SCI)
    • 张峰, 黄仕鑫, 花强, 董春茹. 基于Depth-wise卷积和视觉Transformer的图像分类模型[J]. 计算机科学, 2024, 51(2): 196-204 (核心). DOI:10.11896/jsjkx.221100234
    • 花强, 陈卓, 张峰, 董春茹*. 动态调整语义的词性加权多模态情感分析模型. 深圳大学学报（理工版）, 2024, 41(3). 2024,05
    • Yuhuan Zhai, Qiang Hua*, Xiaowen Wang, Chunru Dong, Feng Zhang, and Dachuan Xu, Triple-Path RNN Network: A Time-and-Frequency Joint Domain Speech Separation Model, Proceedings of PDCAT 2023.
    • Qiang Hua, Ao Sun, Yuchen Liu, Feng Zhang, Chunru Dong and Dachuan Xu, Design of Query Based Gallery Selector and Mask-Aware Loss for Person Search, Proceedings of PDCAT 2023.
    • Lin Li, Feng Zhang*, Jiashuai Zhang, Qiang Hua, Chunru Dong, and Chee-Peng Lim. A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors. International Journal of Foundations of Computer Science, 2023. doi:10.1142/S012 9054122460017. (SCI)
    • Qiang Hua, Yan Li*, Jing Zhang, Guanyu Qian. Convolutional neural networks with attention module and compression strategy based on second‑order information[J]. International Journal of Machine Learning and Cybernetics. 2023. doi:10.1007/s13042-023-02051-w. (SCI)
    • Qiang Hua, Liyou Chen，Chunru Dong，Pan Li and Feng Zhang*, Deep Time-Aware Attention Neural Network for Sequential Recommendation[J]. Asia-Pacific Journal of Operational Research, 2023. doi:10.1142/S0217595923400201. (SCI)
    • Qiang Hua, Pan Li, Jiashuai Zhang, Feng Zhang, and Chunru Dong*, Reparametric sampling for small object image recognition[J]. Asia-Pacific Journal of Operational Research, 2023. doi:10.1142/S0217595923400092. (SCI)
    • Lin Li, Feng Zhang*, Jiashuai Zhang, Qiang Hua, Chunru Dong, and Cheepeng Lim, A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors[J]. International Journal of Foundations of Computer Science, 2023. doi:10.1142/S0129054122460017. (SCI)
    • Feng Zhang, Ziwei Liu, CheePeng Lim, Chunru Dong, Qiang Hua*, A model with pseudo-label correction and distribution alignment for image clustering[J]. Computers and Electrical Engineering. 104, 2022. (SCI)
    • Feng Zhang, Lin Li, Qiang Hua*, Chunru Dong, Boon-Han Lim, Improved deep clustering model based on semantic consistency for image clustering[J]. Knowledge-Based Systems. 253, 2022. doi:10.1016/j.knosys.2022.109507. (SCI)
    • Feng Zhang, Xicheng Li, CheePeng Lim, Qiang Hua, Chunru Dong*, Jun-Hai Zhai, Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition[J]. Information Fusion. 88: 296-304, 2022. (SCI)
    • Qiang Hua, Liyou Chen，Pan Li*, Shipeng Zhao and Yan Li*, A Pixel-Channel Hybrid Attention Model in Image Processing[J]. Tsinghua Science and Technology. 27(5): 804-816, 2022. (SCI)
    • Yan Li, Chang Liu, Suyun Zhao*, Qiang Hua*, Active partial label learning based on adaptive sample selection[J]. International Journal of Machine Learning and Cybernetics. 13(6): 1603-1617, 2022. (SCI)
    • 张峰, 李希城, 董春茹, 花强*. 基于深度情感唤醒网络的多模态情感分析与情绪识别[J]. 控制与决策. 37(11), 2984-2992, 2022. (EI)
    • Qiang Hua, Qian Zhang, On the global well-posedness for the 3D axisymmetric incompressible Keller-Segel-Navier-Stokes equations[J].Zeitschrift für angewandte Mathematik und Physik. 72:179, 2021. (SCI)
    • Qiang Hua, Liyou Chen, Pan Li*, Shipeng Zhao and Yan Li*, A Novel Attention Model of Deep Learning in Image Classification [C]. In Proc. of PAAP 2020 CCIS 1362, pp. 318-330. (Best paper award)
    • Yan Li, Jing Zhang and Qiang Hua*. Second-order Convolutional Neural Network based on Cholesky Compression Strategy [C]. PDCAT, 341-352, 2020.
    • 张峰, 钱辉, 董春茹, 花强*. 随机状态下基于期望经验回放的Q学习算法[J]. 深圳大学学报（理工版）. 037(002):202-207, 2020.
    • 花强, 刘轶功, 张峰, 董春茹*. 基于Wasserstein距离的双向学习推理[J]. 河北大学学报(自然科学版), 40(3): 328-336, 2020.
    • Qiang Hua, Liangliang Wei, Chunru Dong, Feng Zhang*, Improved variational inference with dynamic routing flow[J]. International Journal of Machine Learning and Cybernetics. 11(2): 301-312, 2020. (SCI)
    • Pan Li, Qiang Hua*, Zhijun Hu, et al. Approximation algorithms for the selling with preference[J]. Journal of Combinatorial Optimization. 40(2): 366-378, 2020. (SCI)
    • 花强, 郭欣欣, 张峰, 董春茹*. 基于随机森林的哈希检索算法[J]. 计算机科学与探索, 13(7): 1174-1183, 2019.

 

  • 发明专利：
    [1] 基于新型注意力模型的图像转换方法（ZL 2020 1 0469218.7），2022
    [2] 基于W距离的稳定可控图像生成模型训练方法（ZL 2020 1 0814704.8），2022
    [3] 一种检测光伏电池组件缺陷的YOLO-PV模型及其构建方法(2023115054395), 申请日期：2023-11-13