| 姓 名 | 陈浩然 | 性 别 | 男 |
职 称 | 副教授 | 电 话 | 18239962009 | |
电子邮件 | chenhaoran@zzuli.edu.cn | |||
通信地址 | 郑州市高新区科学大道136号 | |||
研究方向 | 人工智能、模式识别、流形优化 | |||
工作简历 | ||||
2019年1月至今，来我校郑州轻工业大学计算机科学与技术学院任教。 | ||||
科研项目（5项左右） | ||||
1. 主持国家自然科学青年基金项目，基于黎曼流形优化的深度偏最小二乘回归模型，项目批准号：61906175 2. 主持河南省科技攻项目，基于黎曼空间多图学习的多模态舆情分析研究，项目批准号：252102211062 3. 参与河南省科技攻项目，基于多模态信息驱动和空-频域联合优化的人脸活体检测，项目批准号：222102210010 4. 参与河南省科技攻项目，基于深度迁移学习的跨项目软件缺陷预测关键技术研究，项目批准号：242102210033 5. 参与河南省科技攻项目，基于黎曼流形深度学习的视频图像识别及地铁交通危险行为预警应用关键技术研究，项目批准号：242102211050 | ||||
学术及科研成果 | ||||
1. Haoran Chen, Xu Chen, Hongwei Tao, Zuhe Li, Boyue Wang. PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering, PatternRecognition, 2024, 149 2. Haoran Chen, Xu Chen, Hongwei Tao, Zuhe Li, Xiao Wang. Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering, ACM Transactions on Knowledge Discovery from Data, 2023, 17(9):1-18 3. Haoran Chen, Jiafan Wang, Hongwei Tao, Zuhe Li, Yunyang Wang. Parameter-free nonlinear partial least squares regression model for image classification, Journal of Electronic Imaging, 2023, 32 4. Haoran Chen, Jiapeng Liu, Jiafan Wang, Wenjun Shi. DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization, International Journal on Cybernetics & Informatics (lJCl), 2024, 13(5) 5. Haoran Chen; Jiafan Wang; Hongwei Tao; Yinghui Hu; Yanan Du. A food safety traceability system based on trusted double chain, International Journal of Computational Science and Engineering, 2025, 8(1) 6. Haoran Chen, Yanfeng Sun, Yongli Hu, Baocai Yin. Solving Partial Least Squares Regression via Manifold Optimization Approaches. IEEE Transactions on Neural Networks and Learning Systems. 2019, 30(2):588-600 7. Haoran Chen, Yanfeng Sun, Yongli Hu, Baocai Yin. Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Learning. Neurocomputing. 2018, 291:59-70 8. Haoran Chen, Yanfeng Sun, Yongli Hu, Baocai Yin. Maximally Correlated Principle Component Analysis Based on Deep Parameterization Learning. ACM Transactions on Knowledge Discovery from Data. 2019, 13(4):1-17. | ||||
