彭佳杰


的个人主页 http://teacher.nwpu.edu.cn/peng

  被浏览次数:15834

基本信息 The basic information

彭佳杰

计算机学院

博士研究生毕业

工学博士

副教授

计算机科学与技术-计算机应用技术

综合介绍 General Introduction

彭佳杰博士,现任西北工业大学副教授,博士生导师。哈尔滨工业大学计算机科学与技术专业博士,哈佛大学博士后,美国国家能源部-密西根州立大学植物研究实验室(PRL)联合培养博士。主要从事数据挖掘、人工智能、生物信息学、大数据算法学以及海量知识工程等方向的研究。担任中国计算机学会生物信息专业组委员;Biological ontologies and knowledge bases workshop 主席;《BMC Bioinformatics》《Frontiers in Genetics》《Journal of Biomedical Semantics》杂志客座编委;《Plos One》学术编辑;BIBM、GIW、InCoB、KEOD等国际会议program committee;担任TPAMI、Bioinformatics、Plos Genetics、BMC Bioinformatics、TCBB、Plos One、Frontier in Computer Science、Oncotarget等国际知名期刊审稿人。

实验室主页:http://www.nwpu-bioinformatics.com/ 

招生信息 Admission Information

欢迎对生物信息学、数据挖掘、人工智能相关方向感兴趣的优秀本科生和研究生加入我们的团队! 

(jiajiepeng (AT)nwpu.edu.cn)。 

招生信息

现招收2020年9月入学计算机学院硕士研究生,2020春季、秋季入学博士生,欢迎感兴趣的同学提前邮件联系。

常年招收高年级本科生(并不限于西北工业大学,并不限于计算机专业)与我合作科研工作 ,欢迎感兴趣的同学与我邮件联系。联系我之前,请你耐心阅读以下注意事项:

1. 我们能提供什么?(1)可以提供已有研究基础和研究思路的学术课题,同学可以在我指导下,以发表学术论文为目标进行工作。(2)指导同学撰写学术论文,帮助修改英语,承担版面费、会议费等相关费用。(3)对于优秀的学生,如果有出国、保外、工作、创业等意愿,我将尽最大的能力提供帮助。

2. 如果有意跟我读研究生,欢迎直接说明,可提前享受研究生的待遇,包括科研奖励、资助参加各种暑期学校、培训、报销各种差旅费、资助参加相关学术会议、提供实验室机位等;

3. 要求学生有一定的编程能力(会根据学生的特点布置相应的课题)。


科学研究 Scientific Research

研究方向

  1. 生物信息学:生物网络、疾病表型等多源数据分析;

  2. 面向网络分析的深度学习方法;

发表论文(注:IF为编辑内容时期刊影响因子)

完整文章列表:https://scholar.google.com/citations?user=LZ1MiZwAAAAJ&hl=en


[33] J Peng, W Hui, Q Li, B Chen, J Hao, Q Jiang, X Shang, Z Wei. A learning-based framework for miRNA-disease association identification using neural networks. Bioinformatics, 2019

[32] Jiajie Peng, Junya Lu, Donghee Hoh, Ayesha Dina, Xuequn Shang, David Kramer, Jin Chen. Identifying Emerging Phenomenon in Long Temporal Phenotyping Experiments. Bioinformatics, 2019

[31] J Peng, X Wang, X Shang. Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data. BMC Bioinformatics, 2019

[30] Peng, J., Lu, G., Xue, H., Wang, T., & Shang, X.  TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology. BMC bioinformatics, 2019

[29] H Xue, J Peng, J Li, X Shang. Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. CIKM, 2019

[28] J Peng, L Zhu, Y Wang, J Chen. Mining Relationships among Multiple Entities in Biological Networks. IEEE/ACM transactions on computational biology and bioinformatics, 2019

[27] H Xue, J Peng, X Shang. Towards Gene Function Prediction via Multi-Networks Representation Learning. AAAI, 2019

[26] H Xue, J Peng, X Shang. Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO. BMC Systems Biology, 2019

[25] J Peng, J Guan, X Shang. Predicting Parkinson's disease genes based on node2vec and autoencoder. Frontiers in genetics, 2019

[24] Jiajie Peng, Weiwei Hui, Xuequn Shang. Measuring phenotype-phenotype similarity through the interactome. BMC Bioinformatics, 2018. (中科院二区 ,IF=2.30) 

[23] Jiajie Peng, Xuanshuo Zhang, Weiwei Hui, Junya Lu, Qianqian Li, Shuhui Liu and Xuequn Shang. Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach. BMC Systems Biology, 2018. (中科院二区,IF=2.30)

[22] Liang Cheng, Yue Jiang, Hong Ju, Jie Sun, Jiajie Peng, Meng Zhou, Yang Hu. InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk . BMC Genomics , 2018. (中科院二区 ,IF=3.73)  

[21] Jiajie Peng, Kun Bai, Xuequn Shang, Guohua Wang, Hansheng Xue, Shuilin Jin, Liang Cheng, Yadong Wang, and Jin Chen. Predicting disease-related genes using integrated biomedical networks . BMC Genomics, 2017. (中科院二区 ,IF=3.73) 

[20] Jiajie Peng, Honggang Wang, Junya Lu, Weiwei Hui, Yadong Wang, Xuequn Shang. Identifying term relations cross different gene ontology categories . BMC Bioinformatics, 2017. (中科院二区 ,IF=3.80) 

[19] Jiajie Peng, Qianqian Li, Xuequn Shang. Measuring phenotype-phenotype similarity through the interactome , Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on.(CCF B类会议)  

[18] Jiajie Peng, Junya Lu, Xuequn Shang. Identifying consistent disease subnetworks using DNet. Methods, 2017. (中科院二区 ,IF=3.80) 

[17] Jiajie Peng, Hansheng Xue, et al. A novel method to measure the semantic similarity of HPO terms. International Journal of Data Mining and Bioinformatics , 2017. (IF=0.62)

[16] Jiajie Peng, Qianqian Li, Xuequn Shang. Investigations on factors influencing HPO-based semantic similarity calculation, Journal of Biomedical Semantics, 2017.(IF=1.85)    

[15] Jiajie Peng, Tao Wang, Jixuan Wang, Yadong Wang, Jin Chen. Extend Gene Ontology based on gene network data. Bioinformatics, (2016) 32 (8): 1185-1194.(中科院一区 ,IF=4.98) 

[14] Jiajie Peng, Hongxiang Li, Yongzhuang Liu, Liran Juan, Qinghua Jiang, Yadong Wang and Jin Chen. InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology. BMC Genomics, (2016) 17 (5)(中科院二区 ,IF=3.99)

[13] Jiajie Peng, Hansheng Xue, Yukai Shao, Xuequn Shang, Yadong Wang, and Jin Chen, Measuring Phenotype Semantic Similarity using Human Phenotype Ontology. BIBM 2016 (CCF B类会议) 

[12] Jiajie Peng, Tao Wang, Jianping Hu, Yadong Wang, Jin Chen. Constructing Networks of Organelle Functional Modules in Arabidopsis. Current Genomics, (2016) 17 (5), 427-438 (SCI收录,IF=2.34) 

[11] Jiajie Peng, Sahra Uygun, Taehyong Kim,Yadong Wang, Seung Y. Rhee, Jin Chen. Measuring Genome-specific Semantic Similarities Using Gene Ontology and Gene Co-Function Networks [J]. BMC Bioinformatics, 2015,16: 44. (中科院二区 ,IF=2.58)

[10] Qinghua Jiang, Jixuan Wang, Xiaoliang Wu, Rui Ma, Shuilin Jin, Zhijie Han, Renjie Tan, Jiajie Peng, Guiyou Liu, Yu Li, Yadong Wang. LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression. Nucleic Acids Res, 2015. 43:D193-D196.(中科院一区 ,IF=9.11) 

[9] Jiajie Peng, Hongxiang Li, Qinghua Jiang, Yadong Wang and Jin Chen. An Integrative Approach for Measuring Semantic Similarities using Gene Ontology [J]. BMC Systems Biology, 2014,8: S8. (中科院二区 ,IF=2.44)

[8] Jiajie Peng, Yadong Wang, and Jin Chen. Towards integrative gene functional similarity measurement. BMC bioinformatics, 2014, 15: S5 (中科院二区 ,IF=2.58)

[7] Jiajie Peng, Jin Chen, Yadong Wang. Identifying cross-category relations in gene ontology and constructing genome-specific term association networks. BMC bioinformatics, 2013, 14: S15(中科院二区 ,IF=2.58)

[6] Jiajie Peng, Hongxiang Li, Yongzhuang Liu, Liran Juan, Qinghua Jiang, Yadong Wang and Jin Chen. InteGO2: A web tool for measuring and visualizing gene semantic similarities using Gene Ontology[C]. BIOINFORMATICS RESEARCH AND APPLICATIONS (ISBRA 2015), 2015, 9096: 431-432.

[5] Jiajie Peng, Hongxiang Li, Yadong Wang and Jin Chen. A web tool for measuring gene semantic similarities by combining Gene Ontology and gene co-function networks[C]. proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology (ACM BCB), 2015:678-679(DOI号为10.1145/2808719.2816835)

[4] Yongzhuang Liu, Jian Liu, Jianguo Lu, Jiajie Peng, Liran Juan, Xiaolin Zhu, Bingshan Li, Yadong Wang. Joint detection of copy number variations in the parent-offspring trio. Bioinformatics,(中科院一区 ,IF=4.98)

[3] Qinghua Jiang, Rui Ma, Jixuan Wang, Xiaoliang Wu, Shuilin Jin, Jiajie Peng, Renjie Tan, Tianjiao Zhang, Yu Li, Yadong Wang. LncRNA2Function: a comprehensive resource for functional investigation of human lncRNAs based on RNA-seq data. BMC genomics, 2015. 16(S3):S2.(中科院二区 ,IF=3.99)

[2] Liang Cheng, Jie Li, Peng Ju, Jiajie Peng, and Yadong Wang. SemFunSim: A New Method for Measuring Disease Similarity by Integrating Semantic and Gene Functional Association. PloS one, 2014, 9(6): e99415(中科院三区 ,IF=3.23)

[1] Shuilin Jin, Renjie Tan, Qinghua Jiang, Li Xu, Jiajie Peng, Yong Wang, Yadong Wang. A  Generalized Topological Entropy for Analyzing the Complexity of DNA Sequences. PLOS ONE, 2014, 9(2): e88519 (中科院三区 ,IF=3.23) 


团队信息 Team Information

团队成员:

硕士生:

王晓昱  (已发表SCI二区论文一篇)

龙羽西

鲁桂林  (已发表CCF B类会议论文一篇)

管娇娇 (已发表SCI二区论文一篇)

韩璐

本科生:

杨金金 

高妍

吴云舒

已毕业同学:

科研助理:

薛寒生(已发表SCI论文三篇,CCF A类和B类会议论文各一篇,目前在澳大利亚国立大学读博)

本科生:

李洪祥(期间发表SCI论文两篇,EI论文两篇,获研究生国家奖学金,目前在深圳创业);

张轩硕 (期间发表SCI论文一篇,目前在万得资讯工作 );

硕士生:

卢俊雅(发表SCI一区论文一篇,发表SCI二区论文一篇,论文在审一篇,搜狗算法岗)

惠薇薇(发表SCI一区论文一篇,CCF B类会议论文一篇, SCI二区论文一篇,获研究生国家奖学金,vivo 算法岗)

李倩倩(发表SCI三区论文一篇,CCF B类会议论文一篇,在360工作); 

白坤(期间发表SCI论文一篇,腾讯 );

邵玉凯(期间发表SCI论文一篇,招商银行);

朱林娇(拿到百度、腾讯、秒针等多家知名企业offer,滴滴);

李波(拿到腾讯、华为等多家知名企业offer,华为); 

教育教学 Education And Teaching

本科生课程 《人工智能》  《人工智能与生物大数据分析交叉前沿》 

研究生课程 《计算生物学》 

学术活动 Professional Activities

2019/11/25 恭喜鲁桂林同学论文被BMC Bioinformatics录用《TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology》

2019/09/17 恭喜薛寒生同学在 The Australian National University 开始新旅程. GOOD LUCK~ 

2019/08/09 恭喜薛寒生同学论文被CIKM录用 《Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding》

2019/07/14 恭喜卢俊雅同学论文被Bioinformatics录用 《Identifying Emerging Phenomenon in Long Temporal Phenotyping Experiments》

2019/06/23 恭喜王晓昱同学论文被BMC Bioinformatics录用《Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data》

2019/4/3 恭喜惠薇薇和李倩倩同学论文被Bioinformatics录用 《A learning-based framework for miRNA-disease association identification using neural networks》

2019/3/12 恭喜管娇娇同学论文被Frontiers in Genetics 录用 《Predicting Parkinson's disease genes based on node2vec and autoencoder》

2019/3/11 恭喜俊雅和薇薇同学顺利通过硕士毕业答辩!Congrats!

2019/1/17 王晓昱同学参加APBC2019并作报告

2019/1/1 恭喜惠薇薇同学获得研究生国家奖学金

2018/12/1 恭喜薛寒生同学论文被AAAI录用

2018/4/12 惠薇薇同学的工作在BMC Bioinformatics期刊发表:《Measuring phenotype-phenotype similarity through the interactome》

2018/3/25 轩硕同学的工作在BMC Systems Biology期刊发表:《Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach》

2018/3/11 恭喜倩倩顺利通过硕士生毕业答辩!