王春宇科研成果

基本信息 科学研究 教育教学 论文专著 学生培养 新建主栏目 基本信息 名称 　　王春宇，男，汉族，1979年生。博士，教授，博士生导师，就职于哈尔滨工业大学计算学部。中国计算机学会高级会员，生物信息学专委会执行委员，IEEE协会会员。主要从事人工智能与生物、化学领域的交叉学科研究，研究兴趣包括生物分子的结构与功能、人工智能辅助药物发现、高通量序列数据分析和作物产量性状基因预测等。主持国家自然科学基金重点项目 1 项、面上项目 3 项，参与国家自然基金重大研究计划、国家重点研发计划等项目，发表学术论文 80 余篇，出版译著 2 本，省部级获奖 3 项。国家级一流线上本科课程“形式语言与自动机理论”课程负责人。 教育与工作经历 名称 教育经历 1998.09 – 2002.07：哈尔滨工业大学，计算机科学与技术学院，获学士学位 2002.09 – 2005.03：哈尔滨工业大学，计算机科学与技术学院，获硕士学位 2008.03 – 2015.03：哈尔滨工业大学，计算机科学与技术学院，获博士学位 工作经历 2004.07 – 2006.10：哈尔滨工业大学，计算机科学与技术学院，助教 2006.10 – 2015.12：哈尔滨工业大学，计算机科学与技术学院，讲师 2015.12 – 2022.12：哈尔滨工业大学，计算机科学与技术学院，副教授 2016.09 – 2017.08：美国密苏里大学计算机科学系，访问学者 2018.10 – 2018.11：美国明尼苏达大学，教学发展专项学习 2020.07 – 至今：哈尔滨工业大学，计算机科学与技术学科，博士生导师 2022.12 – 至今：哈尔滨工业大学，计算学部，教授 研究领域 名称 　　生物信息学、机器学习 科研获奖 名称 吴文俊自然科学二等奖，microRNA与疾病关联分析智能预测算法，人工智能学会，2020，排名第五 教育部自然科学二等奖，microRNA 结构与功能的智能预测方法，教育部，2019，排名第四 黑龙江省高校科技二等奖，计算生物学中的学习方法研究，黑龙江省教育厅，2009，排名第三 科研项目 名称 主持项目： 国家自然基金重点项目，面向环状RNA的深度挖掘分析与功能研究 国家自然基金面上项目，靶向蛋白质-蛋白质相互作用的小分子调节剂预测研究 国家自然基金面上项目，基于递归神经网络的线粒体蛋白质导入机制研究 国家自然基金面上项目，面向人群分类的基因组序列多态性分析的研究 国家自然基金青年项目，基于高通量测序数据多供体植物基因组结构变异识别方法研究 参与项目： 国家自然基金重大研究计划集成项目，玉米粒形关键基因遗传调控及互作网络解析 科技部国家重点研发计划项目子课题，精准医学文本知识发现 国家自然基金重点项目，基于网络模型的癌症相关模式挖掘理论与方法 国家自然基金面上项目，功能基因网络的重构与交叠模块识别方法 国家自然基金面上项目，面向网络弱标记图像的视觉对象模型在线学习方法 国家自然基金面上项目，蛋白质相互作用和基因功能关联的对称性预测方法研究 国家自然基金重点项目，大豆RNA结构与进化分析的信息处理方法研究 讲授课程 名称 目前主讲课程： 形式语言与自动机 —— 国家级一流线上本科课程，负责人 课程学习主页： https://iilab.net/automata 中国大学MOOC： https://www.icourse163.org/course/HIT-1206319802 曾经主讲课程： 计算生物学 .NET程序设计 Java语言程序设计 软件设计与开发实践系列课程 代表论文 名称 Mengyao Gao, Lingling Zhao, Zitong Zhang, Junjie Wang*, Chunyu Wang*. Using a Stacked Ensemble Learning Framework to Predict Modulators of Protein–Protein Interactions. Computers in Biology and Medicine. 2023, 161:107032. Zhiqi Pang, Chunyu Wang, Junjie Wang, Lingling Zhao*. Reliability Modeling and Contrastive Learning for Unsupervised Person Re-identification. Knowledge-Based Systems. 2023, 263:110263. Chunyu Wang, Yuanlong Chen, Lingling Zhao, Junjie Wang*, Naifeng Wen*. Modeling DTA by Combining Multiple-Instance Learning with a Private-Public Mechanism. International Journal of Molecular Sciences. 2022, 23(19), 11136. Zhiqi Pang, Lingling Zhao, Qiuyang Liu, Chunyu Wang*. Camera Invariant Feature Learning for Unsupervised Person Re-Identification. IEEE Transactions on Multimedia. 2022, (Early Access):1-12. Mengting Niu, Quan Zou*, Chunyu Wang*. GMNN2CD: identification of circRNA–disease associations based on variational inference and graph Markov neural networks. Bioinformatics. 2022, 38(8):2246-2253. Yaojia Chen, Yanpeng Wang, Yijie Ding, Xi Su*, Chunyu Wang*. RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs. Computers in Biology and Medicine. 2022, 143:105322. Chunyu Wang, Yan Zhu, Naifeng Wen, Lingling Zhao, Junjie Wang*. SeqGO-CPA: Improving Compound-Protein Binding Affinity Prediction with Sequence Information and Gene Ontology Knowledge. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021: 354-359. Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang*, and Quan Zou*. Critical downstream analysis steps for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(5):bbab105. Shanwen Sun, Chunyu Wang, Hui Ding, Quan Zou*, Machine learning and its applications in plant molecular studies. Briefings in functional genomics. 2020, 19 (1), 40-48. Lingling Zhao, Peijin Xie, Lingfeng Hao, Tiantian Li*, and Chunyu Wang*. Gene Ontology aided Compound Protein Binding Affinity Prediction Using BERT Encoding. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1231-1236. IEEE, 2020. Lingling Zhao, Junjie Wang, Liang Cheng*, and Chunyu Wang*. OntoSem: an Ontology Semantic Representation Methodology for Biomedical Domain. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 523-527. IEEE, 2020. Chunyu Wang, Kai Sun*, Juexin Wang, Maozu Guo*. Data fusion-based algorithm for predicting miRNA–Disease associations. Computational Biology and Chemistry. 2020, 88:107357. Chunyu Wang, Ning Zhao, Kai Sun*, Ying Zhang*. A cancer gene module mining method based on bio-networks of multi-omics gene groups. Frontiers in Oncology. 2020, 10:1159. Chunyu Wang, Jialin Li, Ying Zhang*, Maozu Guo*. Identification of Type VI effector proteins using a novel ensemble classifier. IEEE Access. 2020, 8:75085-75093. Chunyu Wang*, Ning Zhao, Linlin Yuan, Xiaoyan Liu*. Computational Detection of Breast Cancer Invasiveness with DNA Methylation Biomarkers. Cells. 2020, 9(2): 326. Chunyu Wang*, Jie Zhang, Xueping Wang, Ke Han, Maozu Guo*. Pathogenic gene prediction algorithm based on heterogeneous information fusion. Frontiers in Genetics. 2020, 11:5 Kai Che, Xi Chen, Maozu Guo*, Chunyu Wang, Xiaoyan Liu. Genetic Variants Detection Based on Weighted Sparse Group Lasso. Frontiers in Genetics. 2020, 11:155. Chunyu Wang*, Jialin Li, Xiaoyan Liu, Maozu Guo*. Predicting sub-Golgi apparatus resident protein with primary sequence hybrid feature. IEEE Access. 2019, 8:4442-4450. Chunyu Wang, Junling Guo, Ning Zhao, et al. A Cancer Survival Prediction Method Based on Graph Convolutional Network. IEEE Trans. on NanoBioscience. 2019, 19(1):117-126. Xiaoqing Ru, Lihong Li, Chunyu Wang*. Identification of Phage Viral Proteins With Hybrid Sequence Features. Frontiers in Microbiology. 2019, 10:1-12. Kai Che, Maozu Guo*, Chunyu Wang, Xiaoyan Liu, Xi Chen. Predicting MiRNA-Disease Association by Latent Feature Extraction with Positive Samples. Genes. 2019, 10(2):80. Kaiyang Qu, Leyi Wei, Jiantao Yu and Chunyu Wang*. Identifying Plant Pentatricopeptide Repeat Coding Gene/Protein Using Mixed Feature Extraction Methods. Frontiers in Plant Science. 2019, 9:1-10. Jing Jiang, Fei Xing, Chunyu Wang, Xiangxiang Zeng, Quan Zou*. Investigation and development of maize fused network analysis with multi-omics. Plant Physiology and Biochemistry. 2019, 141:380-397. 王春宇，徐珊珊，郭茂祖*，车凯，刘晓燕．基于 Convolutional-LSTM 的蛋白质亚细胞定位研究．计算机科学与探索. 2018, 13(6). Maozu Guo, Shuang Cheng, Chunyu Wang*, Xiaoyan Liu & Yang Liu. Prediction of Potential Disease-Associated MicroRNAs Based on Hidden Conditional Random Field. Journal of Harbin Institute of Technology (New Series). 2018, 25(1). Jing Jiang, Fei Xing, Chunyu Wang*, & Xiangxiang Zeng*. Identification and analysis of rice yield-related candidate genes by walking on the functional network. Frontiers in Plant Science. 2018, 9:1-9. Ke Han, Miao Wang, Lei Zhang, Chunyu Wang. Application of molecular methods in the identification of ingredients in Chinese herbal medicines. Molecules. 2018, 23:2728. Mengting Niu, Yanjuan Li*, Chunyu Wang, Ke Han. RFAmyloid: a web server for predicting amyloid proteins. International Journal of Molecular Sciences. 2018, 19:2071. Linlin Xing, Maozu Guo, Xiaoyan Liu, Chunyu Wang. Identification and prioritization of differentially expressed genes for time-series gene expression data. Frontiers of Computer Science. 2018,12:813-823. Linlin Xing, Maozu Guo*, Xiaoyan Liu, Chunyu Wang, Lei Zhang. Gene Regulatory Networks Reconstruction Using the Flooding-Pruning Hill-Climbing Algorithm. Genes. 2018, 9:342. Linlin Xing, Maozu Guo, Xiaoyan Liu, Chunyu Wang, Lei Wang, Yin Zhang. An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection. BMC genomics. 2017, 18:844. 王春宇, 潘俊, 郭茂祖*, 刘晓燕, 刘扬, 刘国军. 基于读分割最优匹配的 indels 识别算法. 软件学报. 2017, 28(10):2640-2653. 郭茂祖, 武雪剑, 赵宁, 刘晓燕, 王春宇*. 一种基于多组学生物网络的癌症关键模块挖掘方法. 中国科学: 信息科学. 2017, 47(11):1510-1522. Xiaotong Guo, Fulin Liu, Ying Ju, Zhen Wang, & Chunyu Wang*. Human protein subcellular localization with integrated source and multi-label ensemble classifier. Scientific Reports. 2016, 6:28087. 王春宇, 宋建春, 郭茂祖*, 邢林林, 刘晓燕. “基于加性噪声模型的基因调控网络构建算法”. 哈尔滨工业大学学报. 2015, 47(11):22-26. Zhen Tian, Chunyu Wang, Maozu Guo*, Xiaoyan Liu, Zhixia Teng. SGFSC: speeding the gene functional similarity calculation based on hash tables. BMC Bioinformatics. 2016, 17(1):445. Zhen Tian, Chunyu Wang, Maozu Guo*, Xiaoyan Liu, Zhixia Teng. An improved method for functional similarity analysis of genes based on Gene Ontology[J]. BMC systems biology. 2016, 10(4): 119. Chunyu Wang*, Maozu Guo*, Xiaoyan Liu, Yang Liu, Quan Zou. SeedsGraph: an efficient assembler for next generation sequencing data. BMC Medical Genomics. 2015, 8(S2):S13. Chunyu Wang, Lingling Hu, Maozu Guo, Xiaoyan Liu and Quan Zou*. imDC: an ensemble learning method for imbalanced classification with miRNA data. Genetics and Molecular Research. 2015, 14(1):123-133. Shuang Cheng, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Yang Liu, and Xuejian Wu. MiRTDL: a deep learning approach for miRNA target prediction. IEEE/ACM transactions on computational biology and bioinformatics. 2015, 13(6):1161-1169. Chunyu Wang, Leyi Wei, Maozu Guo, Quan Zou*. Computational approachesin detecting non-coding RNA. Current Genomics. 2013, 14(6):371-377. Chunyu Wang, Maozu Guo, Yang Liu. EST clustering in large dataset with MapReduce. 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA2010). Sept 17-19, Harbin, China:pp 968-971. IEEE, 2010. Jun Wang, Maozu Guo, Chunyu Wang. A site-clustering graph based tagSNP selection algorithm in genotype data. BMC Bioinformatics. 2009, 10 (Suppl 1):S71-82 Quan Zou, MaoZu Guo, Chunyu Wang. Yingpeng Han, Wenbin Li. Novel H/ACA box snoRNA Mining and Secondary Structure Prediction Algorithms. The 4th International Conference on Rough Sets and Knowledge Technology (RSKT2009). Gold Coast, Australia, 14th-16th July, 2009. LNAI, 5589:538-546. 译著 名称 机器学习基础教程. Rogers S., Girolami M.著; 郭茂祖, 王春宇, 刘扬, 刘晓燕译. 北京: 机械工业出版社. 2013.10 人工智能：复杂问题求解的结构和策略(原书第6版). Luger G. F.著; 郭茂祖, 刘扬, 玄萍, 王春宇译. 北京: 机械工业出版社. 2009.12 招生信息 名称 真诚欢迎勤奋上进的同学来机器学习研究中心攻读学位！ 每年招收博士研究生 1~2 人，硕士研究生 2~3 人； 研究方向：机器学习应用或计算生物学。 课题以机器学习的应用为主，包括药物发现、药物协同、环状RNA结构与功能分析、异常检测等； 欢迎邮件咨询： chunyu@hit.edu.cn ，邮件请署名。 学生培养 名称 在读研究生： 2022级，张梓童，博士在读 2022级，庞志奇，博士在读 2021级，朱　燕，博士在读 已毕业研究生： 2023届，李丹阳，硕士毕业，去向：招行，杭州 2022届，陈琳鑫，硕士毕业，去向：华为，深圳 2022届，郝凌锋，硕士毕业，去向：腾讯，深圳 2021届，张　婕，硕士毕业，去向：华为，北京 2020届，李家林，硕士毕业，去向：招行，深圳 2019届，王学萍，硕士毕业，去向：中电54所，石家庄 2019届，郭峻凌(合作指导)，硕士毕业，去向：拼多多，上海 2018届，徐珊珊，硕士毕业，去向：去哪儿网，北京 2017届，武雪剑(合作指导)，硕士毕业，去向：华为，深圳 2016届，潘　俊(协助指导)，硕士毕业，去向：建行，温州 2015届，陈纪岭(协助指导)，硕士毕业，去向：工行，济南