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个人简介

教育背景 2004.09~2009.07 东北大学计算机软件与理论专业 工学博士 2000.09~2004.07 东北大学信息与计算科学专业 理学学士 工作履历 2012.07~至今 东北大学秦皇岛分校计算机专业 副教授 2009.07~2012.07 东北大学秦皇岛分校计算机专业 讲师 2011.08~2013.08 中国人民解放军军事医学科学院 博士后

研究领域

1) 生物信息数据高效存储与分析技术 2) 机器学习算法

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Changyong Yu, Yuhai Zhao, Chu Zhao, Jianyu Jin, Keming Mao, Guoren Wang. MiniDBG: a novel and minimal De Bruijn graph for Read Mapping. IEEE/ACM Transactions on Computational Biololy and Bioinformatics, 2023. DOI: 10.1109/TCBB.2023.3340251. Yu Changyong, Ren Tianmei, Wenyu Li, Liu Huimin, Ma Haitao and Zhao Yuhai. BL: An Efficient Index for Reachability Queries on Large Graphs, IEEE Transactions on Big Data, 2023. Yu Changyong, Liu Huimin, Fazal Wahab, Ling Zihan, Ren Tianmei, Ma Haitao and Zhao Yuhai. Global Triangle Estimation Based on First Edge Sampling in Large Graph Streams, Journal of Supercomputing. 79(13): 14079-14116 (2023). Changyong Yu, Pengxi Lin, Yuhai Zhao, Tianmei Ren, Guoren Wang: A fast and efficient path elimination algorithm for large-scale multiple common longest sequence problems. BMC Bioinform. 23(1): 366 (2022). 于长永, 李俊杰, 马海涛, 赵宇海. 一种针对大规模Read Mapping的高效DBG索引方法[J]. 东北大学学报(自然科学版), 2023, 44(6): 770-776. Changyong Yu, Peng Liu, Yudi Liu, Haitao Ma, Yuhai Zhao. A Practical Stream data Cleaning Method based on Local Shape Feature. 2022 (Hangzhou), Asia Conference on Algorithms, Computing and Machine Learning. Yu Changyong, Zhao Yuhai, Zhao Chu, Ma Haitao and Wang Guoren. DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment. IEEE/ACM Transactions on Computational Biololy and Bioinformatics, doi: 10.1109/TCBB.2021.3127879. Yu Changyong, Mao Keming, Zhao Yuhai, Chang Cheng, Wang Guoren. StLiter: A Novel Algorithm to Iteratively Build the Compacted de Bruijn Graph from Many Complete Genomes. IEEE/ACMTransactions on Computational Biololy and Bioinformatics. 2021, Feb 14. doi: 10.1109/TCBB.2021.3062068. Changyong Yu, Xin Qi, Haitao Ma, Xin He, Cuirong Wang, Yuhai Zhao. LLR: Learning learning rates by LSTM for training neural networks[J]. Neurocomputing, 2020, 394. Changyong Yu, Xin He, Haitao Ma, Xin Qi, Jiarui Lu, Yuhai Zhao. S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method[J]. ACCESS, 2019, 183604. 于长永,金建宇,刘鹏,赵宇海. 基于最小边集的De Bruijn图定位算法[J]. 东北大学学报, 2022,43(2),153-159. 于长永,王文涵,温秀静,赵宇海. 基于动态双重前缀的模糊相似性连接算法[J]. 东北大学学报,2022,43(3). 马海涛, 路家蕊, 于文鑫, 于长永. 线性区域数量与PLNN表达能力的相关性[J]. 东北大学学报, 2021, 42(2): 201-207. 于长永,何鑫,祁欣,马海涛. GMSDenseNet基于组多结构卷积的轻量级DenseNet [J]. 东北大学学报,2020,41(1),12-16. 于长永,李淼淼,赵楚,马海涛. 一种新颖的编辑距离限制下的相似性确认算法[J]. 东北大学学报,2019,40(11),.1543-1548. 于长永,高明, 柏禄一, 赵宇海. 一种带有长度和位置约束的字符串索引方法[J]. 东北大学学报,2018,39(7),959-963. 马海涛, 祁实, 于长永, 赵宇海. 基于频率的Read Mapping种子选择算法[J]. 东北大学学报:自然科学版, 2019, 40(5):5.

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