艳母全集 甘杨兰(锻真金不怕火)
甘杨兰
女 东华大学探求机科学与时期学院,锻真金不怕火、博导
个东说念主简介
2012年于同济大学赢得探求机诈骗时期博士学位(获上海市优秀博士学位论文),2009-2011年在Washington University in St. Louis探求机科学与工程系,从事探求生物学算计(国度公派留学,鸠集培养博士生)。2012年9月起,插足东华大学探求机科学与时期学院责任,历任讲师、副锻真金不怕火和锻真金不怕火。
主要算计目的包括生物信息学、数据挖掘、做事探求、大数据分析等,已在生物信息学、数据挖掘、麇集做事和东说念主工智能畛域的顶级或首要学术期刊和国外会议上发表高水平学术论文50余篇。
当作样式证明东说念主,比年来正在主捏或已完成国度级和省部级等各样科研样式10余项,包括3项国度当然科学基金样式(面上2项、后生1项)、3项上海市当然科学基金样式(面上2项、后生1项)、1项上海市“曙光打算”东说念主才样式和2项中央高校专项资金样式(重心1项、解放探索1项)等。
2013年赢得上海市优秀博士学位论文奖、2014年赢得上海市“曙光打算”东说念主才打算奖、2019年赢得耕种部当然科学二等奖。
责任阅历
2021.10-于今东华大学,探求机与科学时期学院,锻真金不怕火、博士生导师
2015.10-2021.9东华大学,探求机与科学时期学院,副锻真金不怕火、硕士生导师
2012.9-2015.9东华大学,探求机与科学时期学院,讲师、硕士生导师
主要算计目的:
机器学习与智能算法、生物信息学、大数据分析、麇集做事
课程辅导
1. 《Java纪律瞎想》(本科生)
2. 《企业级Java时期》(本科生)
3. 《算法瞎想与分析》(本科生)
4. 《走漏实习》(本科生)
5. 《Data Mining》(全英文,算计生)
科研样式
主捏样式
1. 国度当然科学基金样式(面上),基于肿瘤异质性的致病通路发现及候选药物组合算计,2022-01-01~2025-12-31,60万元,样式证明东说念主
2. 国度当然科学基金样式(面上),基于单细胞多脉络组学数据的肿瘤异质性过甚调控机制算计,2018-01-01~2021-12-31,59万元,样式证明东说念主
3. 国度当然科学基金样式(后生),基于数据挖掘的组卵白修饰模式发现及转录调控功能算计,2014-01-01~2016-12-31,23万元,样式证明东说念主
4. 上海市当然科学基金样式(面上),基于异构麇集的肿瘤致病通路挖掘及候选药物筛选算法算计,2021-07-01~2024-06-30,20万元,样式证明东说念主
5. 上海市当然科学基金样式(面上),交融多组学数据的肿瘤异质性挖掘及调控机制算计,2017-05-01~2020-04-30,20万元,样式证明东说念主
6. 上海市当然科学基金样式(后生),基于生物信息探求的核小体定位模式过甚功能算计,2013-10-01~2016-09-30,10万元,样式证明东说念主
7. 上海市“曙光打算”东说念主才样式,基于生物探求的组卵白修饰模式及功能分析,2014-01-01~2016-12-31,6万元,样式证明东说念主
8. 中央高校专项资金(重心)样式,2016-1-1~2018-12-30,40万元,样式证明东说念主
9. 中央高校专项资金(解放探索)样式,2013-12-1~2015-12-30,10万元,样式证明东说念主
10. 上海市智能信息责罚重心实验室通达课题,组卵白修饰模式发现及功能算计算计,2012-12-31~2014-12-30,2万元,样式证明东说念主
参与样式
1. 国度当然科学基金样式(后生),面向大数据的实体剖析纪律及枢纽时期算计,2015-01-01~2017-12-31,24万元
2. 上海市当然科学基金样式(面上),大数据外包存储考证的可靠性保险时期算计,2020~2022,20万元
3. 上海市当然科学基金样式(面上),云存储数据圆善性校验的数据抽样校验算计,2015~2018,10万元
4. 上海市当然科学基金样式(面上),社区麇集非结构化数据检索枢纽时期算计,2012~2015,10万元
5. 上海市启明星打算(扬帆专项),面向复杂经过的做事自动组合纪律及枢纽时期算计,2016.6~2019.5,20万元
学术论文
现在,已发表高水平学术论文50余篇,主要包括在Briefings in Bioinformatics(IF=13.994)、IEEE/ACM Transactions on Computational Biology and Bioinformatics(IF=3.702)、Bioinformatics(IF=6.931)、、BMC Bioinformatics(IF=3.307)、IEEE Transactions on Services Computing(IF=11.019)、IEEE Transactions on Network and Service Management(IF=4.758)、Knowledge-Based Systems(IF=8.139)、Expert Systems with Applications(IF=8.665)、Neurocomputing(IF=5.779)、IEEE ICWS和ICSOC等生物信息学、数据挖掘、麇集做事和东说念主工智能畛域的顶级或首要学术期刊和国外会议上发表学术论文。
1. Yanglan Gan, Xingyu Huang, Guobing Zou, Shuigeng Zhou, Jihong Guan*. Deep structural clustering for Single-cell RNA-seq data jointly through autoencoder and graph neural network. Briefings in Bioinformatics, bbac018: 1-13, 2022. (SCI, IF=13.994, 生物信息学顶级期刊, 中科院小类1区)
裸舞合集2. Yanglan Gan, Cheng Guo, Wenjing Guo, Guangwei Xu, Guobing Zou*. Entropy-based inference of transitional states and cellular trajectory for single-cell transcriptomics. Briefings in Bioinformatics, 23(4), bbac225: 1-12, 2022. (SCI, IF=13.994, 生物信息学顶级期刊, 中科院小类1区)
3. Yanglan Gan, Huichun Zhu, Wenjing Guo, Guangwei Xu, Guobing Zou*. Deep Semi-supervised Learning with Contrastive Learning and Partial Label Propagation for Image Data. Knowledge-Based Systems, 245: 1-11, 2022. (SCI, IF=8.139, 东说念主工智能顶级期刊, 中科院1区)
4. Yanglan Gan, Ning Li, Cheng Guo, Guobing Zou, Jihong Guan*, Shuigeng Zhou*. TiC2D: trajectory inference from single-cell RNA-seq data based on consensus clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(4): 2512-2522, 2022. (SCI, IF=3.702,CCF B类)
5. Yanglan Gan, Guobing Zou, Jihong Guan, Guangwei Xu. A novel wavelet-based approach for predicting nucleosome positions using DNA structural information. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014, 11(4): 638-647. (SCI, IF=3.702,CCF B类)
6. Yanglan Gan, Jihong Guan, Shuigeng Zhou, Weixiong Zhang. Identifying cis-regulatory elements and modules using conditional random fields. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014, 11(1):73-82. (SCI, IF=3.702,CCF B类)
7. Yanglan Gan, Jihong Guan, Shuigeng Zhou. A pattern-based nearest neighbor search approach for promoter prediction using DNA structural profiles. Bioinformatics, 25(16): 2006-2012, 2009. (SCI, IF=6.931, 中科院小类1区)
8. Yanglan Gan, Xin Hu, Guobing Zou, Cairong Yan, Guangwei Xu*. Inferring gene regulatory networks from single-cell transcriptomic data using bidirectional RNN. Frontiers in Oncology, 12: 1-10, 2022. (SCI, IF=5.738, 中科院2区)
9. Yanglan Gan, Yongchang Xin, Xin Hu, Guobing Zou*. Inferring gene regulatory network from single-cell transcriptomic data by integrating multiple prior networks. Computational Biology and Chemistry, 93: 1-8, 2021. (SCI, IF=3.737, 中科院4区)
10. Yanglan Gan, Shanshan Liang, Qingting Wei, Guobing Zou*. Identification of differential gene groups from single-cell transcriptome using network entropy. Frontiers in Cell and Developmental Biology, 8:588041, 2020. (SCI, IF=6.081, 中科院2区)
11. Yanglan Gan, Ning Li, Yongchang Xin, Guobing Zou*. TriPCE: A Novel Tri-Clustering Algorithm for Identifying Pan-Cancer Epigenetic Patterns. Frontiers in Genetics, 10: 1298, 2020. (SCI, IF=4.772, 中科院3区)
12. Yanglan Gan, Ning Li, Guobing Zou, Yongchang Xin and Jihong Guan*. Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method. BMC Medical Genomics, 11(117): 65-72, 2018. (SCI, IF=3.622, 中科院3区)
13. Yanglan Gan, Han Tao, Jihong Guan, Shuigeng Zhou. iHMS: a database integrating human histone modification data across developmental stages and tissues, BMC Bioinformatics, 2017, 18(103): 1-9. (SCI, IF=3.307, 中科院小类2区)
14. Yanglan Gan, Han Tao, Guobing Zou, Cairong Yan, Jihong Guan. Dynamic epigenetic mode analysis using spatial temporal clustering. BMC Bioinformatics, 2016, 17(537):213-220. (SCI, IF=3.307, 中科院小类2区)
15. Yanglan Gan, Jihong Guan, Shuigeng Zhou. A comparison study on feature selection of DNA structural properties for promoter prediction. BMC Bioinformatics, 13(4):1-12, 2012. (SCI, IF=3.307, 中科院小类2区)
16. Yanglan Gan, Jihong Guan, Shuigeng Zhou, Weixiong Zhang. Structural features based genome-wide characterization and prediction of nucleosome organization. BMC Bioinformatics, 13(49): 1-15, 2012. (SCI, IF=3.307, 中科院小类2区)
17. Hongda Bu, Yanglan Gan, Yang Wang, Shuigeng Zhou, Jihong Guan. A new method for enhancer prediction based on deep belief network. BMC Bioinformatics, 18(418), 1-7, 2017. (SCI, IF=3.307, 中科院小类2区)
18. Xia Zhang, Yanglan Gan*, Guobing Zou, Jihong Guan, Shuigeng Zhou. Genome-wide analysis of epigenetic dynamics across human developmental stages and tissues. BMC Genomics, 20(221): 153-162, 2019. (通讯作家, SCI, IF=4.547, 中科院2区)
19. Yun Lu, Yanglan Gan, Jihong Guan, Shuigeng Zhou. An integrative analysis of nucleosomeoccupancy and positioning using diversesequence dependent properties. Neurocomputing, 2016, 206(19):35-41. (SCI, IF=5.779, 共合并作, 中科院2区)
20. Jihong Guan, Yanglan Gan, Hao Wang, “Discovering Pattern-based Subspace Clusters by Pattern Tree”, Knowledge-Based Systems, 22(8): 569-579, 2009. (SCI, IF=8.139, 中科院1区)
21. Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan*. DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features. IEEE Transactions on Services Computing, 15(4): 1940-1953, 2022. (通讯作家,SCI, IF=11.019, 做事探求顶级期刊, CCF A类)
22. Guobing Zou, Ya Liu, Zhen Qin, Jin Chen, Zhiwei Xu, Yanglan Gan*, Bofeng Zhang, Qiang He*. ST-EUA: Spatio-temporal Edge User Allocation with Task Decomposition. IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2022.3144441, 2022. (通讯作家艳母全集,SCI, IF=11.019, 做事探求顶级期刊, CCF A类)
23. Guobing Zou, Song Yang, Shengyu Duan, Bofeng Zhang, Yanglan Gan, Yixin Chen. DeepLTSC: Long-tail Service Classification via Integrating Category Attentive Deep Neural Network and Feature Augmentation. IEEE Transactions on Network and Service Management, 19(2): 922-935, 2022. (SCI, IF=4.758, 做事探求顶级期刊, 中科院2区)
24. Guobing Zou, Zhiwei Xu, Xiaoyu Xia, Ya Liu, Yanglan Gan, Bofeng Zhang, Min Zhou*, Qiang He*. Spatial-Temporal Edge User Allocation: An Expectation Confirmation Perspective Approach. IEEE Transactions on Network and Service Management, 2022. (SCI, IF=4.758, 做事探求顶级期刊, 中科院2区)
25. Guobing Zou, Jin Chen, Qiang He, Kuan-Ching Li, Bofeng Zhang, Yanglan Gan*. NDMF: Neighborhood-integrated Deep Matrix Factorization for Service QoS Prediction. IEEE Transactions on Network and Service Management, 17(4): 2717-2730, 2020. (通讯作家,SCI, IF=4.758, 做事探求顶级期刊, 中科院2区)
26. Guobing Zou, Tengfei Li, Ming Jiang, Shengxiang Hu, Chenhong Cao, Bofeng Zhang*, Yanglan Gan*, Yixin Chen. DeepTSQP: Temporal-aware Service QoS Prediction via Deep Neural Network and Feature Integration. Knowledge-Based Systems, 241: 1-12, 2022. (通讯作家,SCI, IF=8.139, 东说念主工智能顶级期刊, 中科院1区)
27. Guobing Zou, Zhen Qin, Shuiguang Deng, Kuan-Ching Li, Yanglan Gan*, Bofeng Zhang*. Towards the Optimality of Service Instance Selection in Mobile Edge Computing. Knowledge-Based Systems, 217: 1-17, 2021. (通讯作家,SCI, IF=8.139, 东说念主工智能顶级期刊, 中科院1区)
28. Guobing Zou, Yanglan Gan*, Yixin Chen, Bofeng Zhang. Dynamic composition of Web services using efficient planners in large-scale service repository. Knowledge-Based Systems, 2014, 62: 98-112. (通讯作家, SCI, IF=8.139, 中科院1区)
29. Mingqing Huang, Guobing Zou*, Bofeng Zhang*, Yanglan Gan, Susu Jiang, Keyuan Jiang. Identifying Influential Individuals in Microblogging Networks using Graph Partitioning. Expert Systems with Applications, 102: 70-82, 2018. (SCI, IF=8.665, 中科院1区)
30. Guobing Zou, Yanglan Gan*, Yixin Chen, Bofeng Zhang, Ruoyun Huang, You Xu, Yang Xiang. Towards automated choreography of Web services using planning in large scale service repositories. Applied Intelligence, 2014,41(2): 383-404. (通讯作家, SCI, IF=5.019, 中科院2区)
31. Shengxiang Hu, Guobing Zou*, Bofeng Zhang*, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen. Temporal-aware QoS Prediction via Dynamic Graph Neural Collaborative Learning. The 20th International Conference on Service-Oriented Computing (ICSOC), November 29th-December 2nd, Seville, Spain, 2022. (CCF B类, 做事探求顶级会议)
32. Guobing Zou, Ya Liu, Zhen Qin*, Jin Chen, Zhiwei Xu, Yanglan Gan, Bofeng Zhang, Qiang He*. TD-EUA: Task-decomposable Edge User Allocation with QoE Optimization. The 18th International Conference on Service-Oriented Computing (ICSOC), December 14-17, Dubai, UAE, pp. 215-231, 2020. (CCF B类, 做事探求顶级会议)
33. Zhiwei Xu, Guobing Zou*, Xiaoyu Xia, Ya Liu, Yanglan Gan, Bofeng Zhang, Qiang He*. Distance-aware Edge User Allocation with QoE Optimization. The 27th IEEE International Conference on Web Services (ICWS), October 18-24, Beijing, China, pp. 66-74, 2020. (通讯作家, CCF B类, 做事探求顶级会议)
34. Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan*. DeepWSC: A Novel Framework with Deep Neural Network for Web Service Clustering. The 26th IEEE International Conference on Web Services (ICWS), pp. 434-436, 2019. (通讯作家,CCF B类, 做事探求顶级会议)
35. Sen Niu, Guobing Zou, Yanglan Gan*, Yang Xiang, Bofeng Zhang. Towards Uncertain QoS-aware Service Composition via Multi-objective Optimization. The 24th IEEE International Conference on Web Services (ICWS), pp. 894-897, 2017. (通讯作家, CCF B类)
荣誉获奖
科研获奖
1. 上海市优秀博士学位论文奖,上海市耕种委员会,2013
2.上海市“曙光打算”东说念主才打算奖,上海市耕种委员会,2014
3.耕种部当然科学二等奖,面向生物组学数据的谋合算计纪律,2019
4.东华大学“三八”红旗头称呼,2021
5.同济大学“百优博士”称呼,2008
辅导获奖
1. 东华大学“巾帼立功斥候”称呼,2022
2.东华大学“师德开荒斥候称呼”,2019
3.东华大学“众恒”奖教金,2019
4.东华大学“众恒”奖教金,2014
5.东华大学“首届教师辅导才气培训班”辅导践诺优厚学员,2014
专科做事
中国探求机学会-生物信息专委会 实行委员
中国东说念主工智能学会-当然探求与数字智能城市专委会 委员
上海市探求机学会-东说念主工智能专委会 委员
上海市探求机学会-生物信息专委会 委员
关系面貌:
电话:021-67792291
邮箱:ylgan@dhu.edu.cn
办公室:1号学院楼245室
Resume (Yanglan Gan)
I、Basic Information
Yanglan Gan, Professor of Computer Science, Doctoral Supervisor, Donghua University, Shanghai, China. In 2012, she obtained a doctorate in computer application technology from Tongji University and received an excellent doctoral dissertation in Shanghai. From 2009 to 2011, she was supported by CSC for joint Ph.D. training and engaged in computational biology research in the Department of Computer Science and Engineering at Washington University in St. Louis. Since September 2012, she has worked in the School of Computer Science and Technology, Donghua University.
The main research directions include Bioinformatics, Data Mining, Service Computing, Big Data Analysis, etc., and have published more than 50 high-level academic papers in top or important premier academic journals and international conferences in the fields of bioinformatics, data mining, service computing and artificial intelligence.
As the principal investigator, she has presided over or completed more than 10 national, provincial and other scientific research projects, including 3 National Natural Science Foundation of China projects, 3 Shanghai Natural Science Foundation projects, 1 Shanghai "Morning Light" talent plan project, and 2 central university special fund projects, etc.
She won the Shanghai Excellent Doctoral Dissertation Award in 2013, the Shanghai "Morning Light" talent plan award in 2014, and the second prize of the Natural Science Award of the Ministry of Education in 2019.
She can be reached by email ylgan@dhu.edu.cn
II、Work Experience
2021.10-presentSchool of Computer Science and Technology, Donghua University, Professor, Doctoral Supervisor
2015.10-2021.9School of Computer Science and Technology, Donghua University, Associate Professor, Master Supervisor
2012.9-2015.9School of Computer Science and Technology, Donghua University, Assistant Professor, Master Supervisor
III、Research Projects
Projects (PI)
1. National Natural Science Foundation of China (General), Pathogenic Pathway Discovery and Candidate Drug Combination Prediction based on Tumor Heterogeneity, 2022-01-01~2025-12-31, 600,000 RMB
2. National Natural Science Foundation of China (General), Research on Tumor Heterogeneity and its Regulatory Mechanism based on Single-Cell Multi-level Mmics Data, 2018-01-01~2021-12-31, 590,000 RMB
3. National Natural Science Foundation of China (Youth), Research on Discovery of Histone Modification Patterns and Transcriptional Regulation Function based on Data Mining, 2014-01-01~2016-12-31, 230,000 RMB
4. Shanghai Natural Science Foundation (General), Research on Tumor Pathogenic Pathway Mining and Candidate Drug Screening Algorithms based on Heterogeneous Networks, 2021-07-01~2024-06-30, 200,000 RMB
5. Shanghai Natural Science Foundation Project (General), Research on Tumor Heterogeneity Mining and Regulation Mechanism by Integrating Multi-Omics Data, 2017-05-01~2020-04-30, 200,000 RMB
6. Shanghai Natural Science Foundation Project (Youth), Research on Nucleosome Positioning Model and its Function based on Bioinformatics Calculation, 2013-10-01~2016-09-30, 100,000 RMB
7. Shanghai "Morning Light" talent project, Histone Modification Pattern and Function Analysis based on Biological Computing, 2014-01-01~2016-12-31, 60,000 RMB
8. Central University Special Fund Key Project, 2016-1-1~2018-12-30, 400,000 RMB
9. Central University Special Fund Free Exploration Project, 2013-12-1~2015-12-30, 100,000 RMB
10. Open Project of Shanghai Key Laboratory of Intelligent Information Processing, Histone Modification Pattern Discovery and Function Prediction Research, 2012-12-31~2014-12-30, 20,000 RMB
Projects (Participant)
1. National Natural Science Foundation of China (Youth), Research on Entity Analysis Method and Key Technology for Big Data, 2015-01-01~2017-12-31, 240,000 RMB (PI: Prof. Cairong Yan)
2. Shanghai Natural Science Foundation Project (General), Research on Reliability Assurance Technology for Big Data Outsourcing Storage Verification, 2020~2022, 200,000 RMB (PI: Prof. Guangwei Xu)
3. Shanghai Natural Science Foundation Project (General), Research on Data Sampling Verification of Cloud Storage Data Integrity Verification, 2015~2018, 100,000 RMB (PI: Prof. Guangwei Xu)
4. Shanghai Natural Science Foundation Project (General), Research on Key Technologies of Community Network Unstructured Data Retrieval, 2012~2015, 100,000 RMB (PI: Prof. Mei Wang)
5. Shanghai Venus Project (Yangfan Special Project), Research on Automatic Service Composition Method and Key Technology for Complex Processes, 2016.6~2019.5, 200,000 RMB (PI: Prof. Pengwei Wang)
IV、Publications
Currently, Professor Gan has published more than 50 high-level academic papers, mainly including Briefings in Bioinformatics (IF=13.994), IEEE/ACM Transactions on Computational Biology and Bioinformatics (IF=3.702), Bioinformatics (IF=6.931), BMC Bioinformatics (IF=3.307), IEEE Transactions on Services Computing (IF=11.019), IEEE Transactions on Network and Service Management (IF=4.758), Knowledge-Based Systems (IF=8.139), Expert Systems with Applications (IF=8.665), Neurocomputing (IF=5.779), IEEE ICWS, ICSOC and other top or important academic journals and international premier conferences in the fields of bioinformatics, data mining, service computing and artificial intelligence.
1. Yanglan Gan, Xingyu Huang, Guobing Zou, Shuigeng Zhou, Jihong Guan*. Deep structural clustering for Single-cell RNA-seq data jointly through autoencoder and graph neural network. Briefings in Bioinformatics, bbac018: 1-13, 2022. (SCI, IF=13.994)
2. Yanglan Gan, Cheng Guo, Wenjing Guo, Guangwei Xu, Guobing Zou*. Entropy-based inference of transitional states and cellular trajectory for single-cell transcriptomics. Briefings in Bioinformatics, 23(4), bbac225: 1-12, 2022. (SCI, IF=13.994)
3. Yanglan Gan, Huichun Zhu, Wenjing Guo, Guangwei Xu, Guobing Zou*. Deep Semi-supervised Learning with Contrastive Learning and Partial Label Propagation for Image Data. Knowledge-Based Systems, 245: 1-11, 2022. (SCI, IF=8.139)
4. Yanglan Gan, Ning Li, Cheng Guo, Guobing Zou, Jihong Guan*, Shuigeng Zhou*. TiC2D: trajectory inference from single-cell RNA-seq data based on consensus clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(4): 2512-2522, 2022. (SCI, IF=3.702,CCF B)
5. Yanglan Gan, Guobing Zou, Jihong Guan, Guangwei Xu. A novel wavelet-based approach for predicting nucleosome positions using DNA structural information. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014, 11(4): 638-647. (SCI, IF=3.702, CCF B)
6. Yanglan Gan, Jihong Guan, Shuigeng Zhou, Weixiong Zhang. Identifying cis-regulatory elements and modules using conditional random fields. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014, 11(1):73-82. (SCI, IF=3.702, CCF B)
7. Yanglan Gan, Jihong Guan, Shuigeng Zhou. A pattern-based nearest neighbor search approach for promoter prediction using DNA structural profiles. Bioinformatics, 25(16): 2006-2012, 2009. (SCI, IF=6.931)
8. Yanglan Gan, Xin Hu, Guobing Zou, Cairong Yan, Guangwei Xu*. Inferring gene regulatory networks from single-cell transcriptomic data using bidirectional RNN. Frontiers in Oncology, 12: 1-10, 2022. (SCI, IF=5.738)
9. Yanglan Gan, Yongchang Xin, Xin Hu, Guobing Zou*. Inferring gene regulatory network from single-cell transcriptomic data by integrating multiple prior networks. Computational Biology and Chemistry, 93: 1-8, 2021. (SCI, IF=3.737)
10. Yanglan Gan, Shanshan Liang, Qingting Wei, Guobing Zou*. Identification of differential gene groups from single-cell transcriptome using network entropy. Frontiers in Cell and Developmental Biology, 8:588041, 2020. (SCI, IF=6.081)
11. Yanglan Gan, Ning Li, Yongchang Xin, Guobing Zou*. TriPCE: A Novel Tri-Clustering Algorithm for Identifying Pan-Cancer Epigenetic Patterns. Frontiers in Genetics, 10: 1298, 2020. (SCI, IF=4.772)
12. Yanglan Gan, Ning Li, Guobing Zou, Yongchang Xin and Jihong Guan*. Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method. BMC Medical Genomics, 11(117): 65-72, 2018. (SCI, IF=3.622)
13. Yanglan Gan, Han Tao, Jihong Guan, Shuigeng Zhou. iHMS: a database integrating human histone modification data across developmental stages and tissues, BMC Bioinformatics, 2017, 18(103): 1-9. (SCI, IF=3.307)
14. Yanglan Gan, Han Tao, Guobing Zou, Cairong Yan, Jihong Guan. Dynamic epigenetic mode analysis using spatial temporal clustering. BMC Bioinformatics, 2016, 17(537):213-220. (SCI, IF=3.307)
15. Yanglan Gan, Jihong Guan, Shuigeng Zhou. A comparison study on feature selection of DNA structural properties for promoter prediction. BMC Bioinformatics, 13(4):1-12, 2012. (SCI, IF=3.307)
16. Yanglan Gan, Jihong Guan, Shuigeng Zhou, Weixiong Zhang. Structural features based genome-wide characterization and prediction of nucleosome organization. BMC Bioinformatics, 13(49): 1-15, 2012. (SCI, IF=3.307)
17. Hongda Bu, Yanglan Gan, Yang Wang, Shuigeng Zhou, Jihong Guan. A new method for enhancer prediction based on deep belief network. BMC Bioinformatics, 18(418), 1-7, 2017. (SCI, IF=3.307)
18. Xia Zhang, Yanglan Gan*, Guobing Zou, Jihong Guan, Shuigeng Zhou. Genome-wide analysis of epigenetic dynamics across human developmental stages and tissues. BMC Genomics, 20(221): 153-162, 2019. (Corresponding author, SCI, IF=4.547)
19. Yun Lu, Yanglan Gan, Jihong Guan, Shuigeng Zhou. An integrative analysis of nucleosomeoccupancy and positioning using diversesequence dependent properties. Neurocomputing, 2016, 206(19):35-41. (SCI, IF=5.779, Co-first author)
20. Jihong Guan, Yanglan Gan, Hao Wang, “Discovering Pattern-based Subspace Clusters by Pattern Tree”, Knowledge-Based Systems, 22(8): 569-579, 2009. (SCI, IF=8.139)
21. Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan*. DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features. IEEE Transactions on Services Computing, 15(4): 1940-1953, 2022. (Corresponding author,SCI, IF=11.019, CCF A)
22. Guobing Zou, Ya Liu, Zhen Qin, Jin Chen, Zhiwei Xu, Yanglan Gan*, Bofeng Zhang, Qiang He*. ST-EUA: Spatio-temporal Edge User Allocation with Task Decomposition. IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2022.3144441, 2022. (Corresponding author,SCI, IF=11.019, CCF A)
23. Guobing Zou, Song Yang, Shengyu Duan, Bofeng Zhang, Yanglan Gan, Yixin Chen. DeepLTSC: Long-tail Service Classification via Integrating Category Attentive Deep Neural Network and Feature Augmentation. IEEE Transactions on Network and Service Management, 19(2): 922-935, 2022. (SCI, IF=4.758)
24. Guobing Zou, Zhiwei Xu, Xiaoyu Xia, Ya Liu, Yanglan Gan, Bofeng Zhang, Min Zhou*, Qiang He*. Spatial-Temporal Edge User Allocation: An Expectation Confirmation Perspective Approach. IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2022.3193088, 2022. (SCI, IF=4.758)
25. Guobing Zou, Jin Chen, Qiang He, Kuan-Ching Li, Bofeng Zhang, Yanglan Gan*. NDMF: Neighborhood-integrated Deep Matrix Factorization for Service QoS Prediction. IEEE Transactions on Network and Service Management, 17(4): 2717-2730, 2020. (Corresponding author, SCI, IF=4.758)
26. Guobing Zou, Tengfei Li, Ming Jiang, Shengxiang Hu, Chenhong Cao, Bofeng Zhang*, Yanglan Gan*, Yixin Chen. DeepTSQP: Temporal-aware Service QoS Prediction via Deep Neural Network and Feature Integration. Knowledge-Based Systems, 241: 1-12, 2022. (Corresponding author, SCI, IF=8.139)
27. Guobing Zou, Zhen Qin, Shuiguang Deng, Kuan-Ching Li, Yanglan Gan*, Bofeng Zhang*. Towards the Optimality of Service Instance Selection in Mobile Edge Computing. Knowledge-Based Systems, 217: 1-17, 2021. (Corresponding author, SCI, IF=8.139)
28. Guobing Zou, Yanglan Gan*, Yixin Chen, Bofeng Zhang. Dynamic composition of Web services using efficient planners in large-scale service repository. Knowledge-Based Systems, 2014, 62: 98-112. (Corresponding author, SCI, IF=8.139)
29. Mingqing Huang, Guobing Zou*, Bofeng Zhang*, Yanglan Gan, Susu Jiang, Keyuan Jiang. Identifying Influential Individuals in Microblogging Networks using Graph Partitioning. Expert Systems with Applications, 102: 70-82, 2018. (SCI, IF=8.665)
30. Guobing Zou, Yanglan Gan*, Yixin Chen, Bofeng Zhang, Ruoyun Huang, You Xu, Yang Xiang. Towards automated choreography of Web services using planning in large scale service repositories. Applied Intelligence, 2014,41(2): 383-404. (Corresponding author, SCI, IF=5.019)
31. Shengxiang Hu, Guobing Zou*, Bofeng Zhang*, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen. Temporal-aware QoS Prediction via Dynamic Graph Neural Collaborative Learning. The 20th International Conference on Service-Oriented Computing (ICSOC), November 29th-December 2nd, Seville, Spain, 2022. (CCF B)
32. Guobing Zou, Ya Liu, Zhen Qin*, Jin Chen, Zhiwei Xu, Yanglan Gan, Bofeng Zhang, Qiang He*. TD-EUA: Task-decomposable Edge User Allocation with QoE Optimization. The 18th International Conference on Service-Oriented Computing (ICSOC), December 14-17, Dubai, UAE, pp. 215-231, 2020. (CCF B)
33. Zhiwei Xu, Guobing Zou*, Xiaoyu Xia, Ya Liu, Yanglan Gan, Bofeng Zhang, Qiang He*. Distance-aware Edge User Allocation with QoE Optimization. The 27th IEEE International Conference on Web Services (ICWS), October 18-24, Beijing, China, pp. 66-74, 2020. (Corresponding author, CCF B)
34. Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan*. DeepWSC: A Novel Framework with Deep Neural Network for Web Service Clustering. The 26th IEEE International Conference on Web Services (ICWS), pp. 434-436, 2019. (Corresponding author, CCF B)
35. Sen Niu, Guobing Zou, Yanglan Gan*, Yang Xiang, Bofeng Zhang. Towards Uncertain QoS-aware Service Composition via Multi-objective Optimization. The 24th IEEE International Conference on Web Services (ICWS), pp. 894-897, 2017. (Corresponding author, CCF B)
V、Awards
Research Awards
1. Shanghai Excellent Doctoral Dissertation Award, Shanghai Municipal Education Commission, 2013
2. Shanghai "Morning Light" talent plan award, Shanghai Municipal Education Commission, 2014
3. Second Prize, Natural Science Award of the Ministry of Education, Computational Prediction Method for Bio-omics Data, 2019
2."March 8th" Red Banner Bearer of Donghua University, 2021
Teaching Awards
1. "Faculty Moral Construction Model", Donghua University, 2019
2. "Zhongheng" Teaching Scholarship, Donghua University, 2019
3. "Zhongheng" Teaching Scholarship, Donghua University, 2014
4. "First Faculty Teaching Ability Training Class" teaching practice winners, Donghua University, 2014
VI、Teaching
1. 《Java programming》(Chinese, undergraduate)
2.《Enterprise Java technology》(Chinese, undergraduate)
3.《Algorithm Design and Analysis》(Chinese, undergraduate)
4.《Cognitive Practice》(Chinese, undergraduate)
5.《Data Mining》(English,postgraduate)
VII、Contact Information:
Email: ylgan AT dhu DOT edu DOT cn
Office: No. 1, Academic Building, Room 245