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教师姓名：吕红强
职称：教授
职务：自动控制研究所副所长
博士生导师：是
硕士生导师：是
学位：博士
所在单位：自动化科学与工程学院

论文成果

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Hongqiang Lyu, Kexin Li, Xiapeng Gao, Zhekun Lyu, Qingjun Wu, Jun LiuA dual-stage optimization strategy for power allocation of hybrid energy storage system to smooth renewable energy source power fluctuations using successive variational mode decomposition and evolution of mode division , Journal of Energy Storage , 2026
Hongqiang Lyu, Yao Li, Xinran Chen, Yuan Liu, Erhu Liu, Xiaoliang Cheng.Topologically associating domains of chromatin on single-cell Hi-C data: a survey of bioinformatic tools and applications in the light of artificial intelligence , Frontiers in Genetics , 2025
Hongqiang Lyu, Pei Cao, Wenyao Long, Xiaoran Yin, Shengjun Xu, Laiyi Fu.DeepExDC interprets genomic compartmentalization changes in single-cell Hi-C data , Briefings in Bioinformatics , 2025
Hongqiang Lyu, Kexin Li, Yuan Liu, Xinman Zhang, Ze Liu, Pengcheng Jing, Peng Han.IMATAC imputes single-cell ATAC-seq data by deep hierarchical network with denoising autoencoder , Briefings in Bioinformatics , 2025
Dexing Zhong, Hongqiang Lv, Jiuqiang Han, Quanrui Wei.A practical application combining wireless sensor networks and Internet of Things: Safety Management System for Tower Crane Groups , Sensors , 2014 , 14 ( 8 ) : 13794-13814
Hongqiang Lyu, Minjie Qin, Yao Li, Yuji Hu, Yuan LiuA Visual-Based Inspection System for Appearance Quality of Silicon Steel Sheets by Dimensional Measurement and Defect Detection , 23rd International Symposium INFOTEH-JAHORINA (INFOTEH) , 2024
Liu Erhu, Lyu Hongqiang.Identifying TAD-like domains on single-cell Hi-C data by graph embedding and changepoint detection , Bioinformatics , 2024
Lyu Hongqiang Lyu, Liu Erhu.scHiCPTR: unsupervised pseudotime infer-ence through dual graph refinement for single-cell Hi-C data , Bioinformatics , 2022
Liu Erhu, Lyu Hongqiang.TADfit is a multivariate linear regression model for profiling hierarchical chromatin domains on replicate Hi-C data , Communications Biology , 2022
Lyu Hongqiang, Wan Mingxi.A filter feature selection method based on the Maximal Information Coefficient and Gram-Schmidt Orthogonalization for data mining , Computers in Biology and Medicine , 2017

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