个人简介
田侦,男,副教授,硕士生导师,中国计算机学会生物信息学专委会委员。2017年11月毕业于哈尔滨工业大学,获得计算机科学与技术专业博士学位。2018年3月至今在郑州大学计算机与人工智能学院软件工程系任教。主要讲授《微机原理及接口技术》《算法设计与分析》等课程,主要研究方向机器学习,数据挖掘和生物信息学。目前主持(完成)国家自然科学基金一项,河南省博士后基金一项,河南省科技攻关项目一项。目前已在Briefings in Bioinformatics, BMC Bioinformatics,Expert Systems with Applications ,TCBB, BMC Systems Biology和BIBM2020等学术期刊和会议上发表多篇论文,多次担任Briefings in Bioinformatics, TCBB和BIBM等期刊和会议审稿人,详情请见 Google Scholar 。
教育与工作经历
- 2023年01月至今,郑州大学,计算机与人工智能学院,软件工程系,副教授
- 2020年01月-2022年12月,郑州大学,计算机与人工智能学院,副教授(直聘)
- 2020年01月-2021年02月,美国俄亥俄州立大学(Ohio State University)访问学者
- 2018年03月-2020年01月,郑州大学,信息工程学院,软件工程系,讲师
- 2013.09-2017.11:博士,哈尔滨工业大学,计算机科学与技术专业(导师:郭茂祖)
- 2011.09-2013.07:硕士,哈尔滨工业大学,计算机科学与技术专业
- 2007.09-2011.07:学士,哈尔滨工程大学,计算机科学与技术专业
研究方向
- 基因本体及基因功能相似度计算
- 基于深度学习模型的生物实体关系预测
- 致病基因挖掘方法
- 知识图谱表示学习
科研项目
(一)主持科研项目- [1] 国家自然科学基金委员会,面上项目,62371423,知识图谱增强的跨视角分层图对比学习方法研究,2024.01至2027.12,53万元,在研,主持
- [2] 国家自然科学基金委员会,青年科学基金项目,61801432,基于多元数据融合的药物重定位方法研究,2019.01至2021.12,24万元,结题,主持
- [3] 河南省博士后基金面上项目,202002014,基于多元数据融合的药物-子通路关联关系预测,结题,主持
- [4] 河南省科技攻关,232102211027,基于分层注意力机制的药物靶标关系预测研究,在研,主持
- [1] 国家自然科学基金委员会,面上项目,61671189,侯选药物筛选中分子对接及药靶网络构建方法,结题,参与
- [2] 国家自然科学基金委员会,重点项目,61532014,基于网络模型的癌症相关模式挖掘理论与方法,结题,参与
- [3] 国家自然科学基金委员会,面上项目,61402132,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,结题,参与
发表期刊论文列表
(一)第一作者/通讯作者(*)-
Zhen Tian# , Chenguang Han#(指导学生), Xu Lewen, Song Wei * . MGCNSS: miRNA–disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy[J]. Briefings in Bioinformatics, 2024, 25(3): bbae168.
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Zhixia Teng, Linyue Shi, Haihao Yu, Chengyan Wu, Zhen Tian* . Measuring functional similarity of lncRNAs based on variable K-mer profiles of nucleotide sequences[J]. Methods, 2023, 212: 21-30.
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Zhen Tian, Yue Yu, Haichuan Fang, Weixin Xie, Maozu Guo*. Predicting microbe–drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy[J]. Briefings in Bioinformatics, 2023, 24(2): bbac634.
- Zhen Tian#,*, Xiangyu Peng#(指导学生), Haichuan Fang, Wenjie Zhang, Qiguo Dai, Yangdong Ye*. MHADTI: predicting drug–target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms[J]. Briefings in Bioinformatics, 2022, 23(6): bbac434.
- Zhengzheng Lou, Zhaoxu Cheng, Hui Li, Zhixia Teng, Yang Liu, Zhen Tian*. Predicting miRNA–disease associations via learning multimodal networks and fusing mixed neighborhood information[J]. Briefings in Bioinformatics, 2022.
- Zhen Tian#, Haichuan Fang#(指导学生), Zhixia Teng, Yangdong Ye*. GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022.
- Haichuan Fang(指导学生), Youwei Wang, Zhen Tian*, Yangdong Ye*. Learning knowledge graph embedding with a dual-attention embedding network[J]. Expert Systems with Applications, 2023, 212: 118806.
- Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu*. A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology[J]. BMC bioinformatics, 2022, 23(1): 1-14.
- Zhen Tian, Zhixia Teng, Shuang Cheng, Maozu Guo*. Computational drug repositioning using meta-path-based semantic network analysis. BMC Systems Biology, 2018, 12(9): 123-134.
- Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu*. SWE: a novel method with semantic-weighted edge for measuring gene functional similarity[C]. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020: 1672-1678.
- Zhen Tian, Maozu Guo*, Chunyu Wang, Xiaoyan Liu, Shiming Wang. Tian Z, Guo M, Wang C, et al. Refine gene functional similarity network based on interaction networks[J]. BMC bioinformatics, 2017, 18(16): 183-193.
- Zhen Tian, Maozu Guo*, Chunyu Wang, LinLin Xing, Lei Wang, Yin Zhang. Constructing an integrated gene similarity network for the identification of disease genes[J]. Journal of biomedical semantics, 2017, 8(1): 27-41.
- 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): 465-484.
- Zhen Tian, Chunyu Wang, Maozu Guo*, Xiaoyan Liu, Zhixia Teng. SGFSC: speeding the gene functional similarity calculation based on hash tables[J]. BMC bioinformatics, 2016, 17(1): 1-14.
- 朱真峰, 田侦*. 基于思维导图的数据库原理课程总体认知分析[J]. 计算机教育, 2020.
- 郭茂祖, 王诗鸣, 刘晓燕,田侦 . miRNA 与疾病关联关系预测算法[J]. 软件学报, 2017, 28(11): 3094-3102.
- Zhixia Teng, Maozu Guo, Xiaoyan Liu, Zhen Tian, Kai Che. Revealing protein functions based on relationships of interacting proteins and GO terms[J]. Journal of -biomedical semantics, 2017, 8(1): 9-17.
- Zhixia Teng, Zhengnan Zhao, Yanjuan Li, Zhen Tian, Maozu Guo, Qianzi Lu, Guohua Wang i6mA-Vote: cross-species identification of DNA N6-methyladenine sites in plant genomes based on ensemble learning with voting[J]. Frontiers in Plant Science, 2022, 13.
- Zhixia Teng, Zitong Zhang, Zhen Tian, Yanjuan Li, Guohua Wang. ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition[J]. BMC bioinformatics, 2021, 22: 1-18.
- Qiguo Dai, Zhaowei Wang, Jinmiao Song, Xiaodong Duan, Maozu Guo, Zhen Tian. A stacked ensemble learning framework with heterogeneous feature combinations for predicting ncRNA-protein interaction[C]//2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020: 67-71.
- Xiao Yang, Zhen Tian, Huayang Cui, Zhaoxin Zhang[C]. Link prediction on evolving network using tensor-based node similarity. 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems. IEEE, 2012, 1: 154-158.
培养学生
- 方海川(Haichuan Fang)2019级硕士,郑州大学计算机学院读博
- 彭祥余(Xiangyu Peng)2020级硕士,商丘学院工作
- 余 跃(Yue Yu)2021级硕士,哈尔滨工业大学读博,国家奖学金获得者
- 韩晨光(Chenguang Han)2021级硕士
- 徐乐文(Lewen Xu)2021级硕士
- 罗贤臣(Xianchen Luo)2022级硕士
- 张壮壮(Zhuangzhuang Zhang)2022级硕士
- 周婉宁(Wanning Zhou)2022级硕士
- 朱赛赛(SaiSai Zhu)2023级硕士
- 林梦翔(Mengxiang Lin)2023级硕士
- 范荣琪(Rongqi Fan)2023级硕士
- 蒋淼(Miao Jiang)2024级硕士
- 张浩然(Haoran Zhang)2024级硕士
联系方式
- 电子邮箱:ieztian(AT)zzu.edu.cn && zhentian_hit(AT)163.com
- 个人主页:http://www7.zzu.edu.cn/csai/info/1054/1397.htm
- 谷歌学术:https://scholar.google.com/citations?hl=zh-CN&user=6Eni8IgAAAAJ&view_op=list_works
- 联系地址:河南省郑州市科学大道100号,郑州大学计算机与人工智能学院,3313室
- 欢迎对机器学习、数据挖掘和生物信息处理等方向感兴趣的同学加入学习小组,并将个人简历和本科成绩单发送至联系邮箱。