|
个人信息Personal Information
副教授
硕士生导师
性别：男
毕业院校：日本国立九州大学
学位：博士
所在单位：控制科学与工程学院
学科：模式识别与智能系统
办公地点：创新园大厦 B713
联系方式：qp112cn@dlut.edu.cn
电子邮箱：qp112cn@dlut.edu.cn
扫描关注
- [21]秦攀.Generalized Autoregressive Model with Exogenous Variables and Its Application in Space Climate[A],8th International Congress on Industrial and Applied Mathematics,2022
- [22]秦攀.Forward and Inverse Problems in Magnetic Induction Tomography[A],Study Group Workshop 2014,2022,1-3
- [23]王敏, Cheng, Hailing, Xue, Yijue, Shen, Lanlin, 秦攀, Sang, Xiaolin, Tao, Zhiwei, Yi, Jingyan, 王嘉, Liu, Pixu.Inhibition of SGK1 confers vulnerability to redox dysregulation in cervical cancer[J],Redox Biology,2022,24:101225
- [24]秦攀, 林焰, 陈明.Improvement and convergence analysis of model-free adaptive controller based on multi-innovation ...[J],Journal of Computational Information Systems,2022,5(1):125-132
- [25]Song Y., 林焰, 张明霞, 秦攀.Improved model free learning control method for nonlinear system[J],Journal of Information and Computational Science,2022,10(6):1797-1803
- [26]Xu, Xiaolu, 秦攀, 顾宏, 王嘉, 王杨.Adaptively Weighted and Robust Mathematical Programming for the Discovery of Driver Gene Sets i...[J],Scientific Reports,2022,9(1):5959
- [27]Hu, Xing, 安毅, 邵诚, 秦攀.A new deep distortion convolutional neural network for semantic segmentation of panoramic images[A],Journal of Physics: Conference Series,2022,1873(1)
- [28]林焰, Song Y., 张明霞, 秦攀.Application of improved model free control method for nonlinear system[J],ICIC Express Letters Part B Applications,2022,4(6):1691-1696
- [29]Xu, Xiaolu, 顾宏, 王杨, 王嘉, 秦攀.Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response[J],Frontiers in genetics,2022,10:233
- [30]王宏禹, 顾宏, 秦攀, 王嘉.CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutiona...[J],PLoS One,2022,15(11)
- [31]王嘉, 郑维, 秦攀, Wang, Hong-Jiang, Gao, Xue.Composite pheochromocytoma/ganglioneuroblastoma of the adrenal gland: a case report and review ...[J],International Journal of Clinical and Experimental Medicine,2022,10(3):4740-4747
- [32]秦攀.Contextual unmixing of geospatial data based on Bayesian modeling[A],2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS),2022,1631-1634
- [33]秦攀, 韩鑫, 李乃裕.Convergence alaysis about improved model-free adaptive controller based onmulti-innovation theory[J],ICIC Express Letters,2022,3(3):301-306
- [34]Ren G., 秦攀, 孙鸣, 林异珠.Convergence analysis of multi-innovation learning algorithm based on PID neural network[J],Sensors and Transducers,2022,21(SPEC.ISS.5):142-146
- [35]秦攀.Modeling Non-stationary Stochastic Systems with Generalized Time Series Model[A],11th International Conference on Natural Computation,2022
- [36]Zhang, JingWen, Chen, Li, 秦攀.Modeling Non-stationary Stochastic Systems with Generalized Time Series Models[A],12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD),2022,1061-1067
- [37]张经, 陈雷, 秦攀.Modeling non-stationary stochastic systems with generalized time series models[A],12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015,2022,1061-1067
- [38]Wang, Benchao, 秦攀, 顾宏.Multistep-Ahead Prediction of Urban Traffic Flow Using GaTS Model[J],WIRELESS COMMUNICATIONS MOBILE COMPUTING,2022,2020
- [39]Liu, Jingxiang, 刘涛, Chen, Junghui, 秦攀.Novel common and special features extraction for monitoring multi-grade processes[J],JOURNAL OF PROCESS CONTROL,2022,66:98-107
- [40]夏安飞, 李丹, 蔡嘉文, 顾宏, 秦攀.QNet: A Quick Deep Neural Network for Real-Time Semantic Segmentation[A],2020 IEEE 5th International Conference on Signal and Image Processing,2022,102-107