太阳集团tcy8722(中国)科技公司-BinG百科

甘杨兰（教授）

发布时间： 2022-12-12

浏览量： 19552

甘杨兰

女太阳集团tcy8722，教授、博导

个人简介

2012年于同济大学获得计算机应用技术博士学位（获上海市优秀博士学位论文），2009-2011年在Washington University in St. Louis计算机科学与工程系，从事计算生物学研究（国家公派留学，联合培养博士生）。2012年9月起，进入太阳集团tcy8722工作，历任讲师、副教授和教授。

主要研究方向包括生物信息学、数据挖掘、服务计算、大数据分析等，已在生物信息学、数据挖掘、网络服务和人工智能领域的顶级或重要学术期刊和国际会议上发表高水平学术论文50余篇。

作为项目负责人，近年来正在主持或已完成国家级和省部级等各类科研项目10余项，包括3项国家自然科学基金项目（面上2项、青年1项）、3项上海市自然科学基金项目（面上2项、青年1项）、1项上海市“晨光计划”人才项目和2项中央高校专项资金项目（重点1项、自由探索1项）等。

2013年获得上海市优秀博士学位论文奖、2014年获得上海市“晨光计划”人才计划奖、2019年获得教育部自然科学二等奖。

工作经历

2021.10-至今太阳集团tcy8722，计算机与科学技术学院，教授、博士生导师

2015.10-2021.9太阳集团tcy8722，计算机与科学技术学院，副教授、硕士生导师

2012.9-2015.9太阳集团tcy8722，计算机与科学技术学院，讲师、硕士生导师

主要研究方向：

机器学习与智能算法、生物信息学、大数据分析、网络服务

课程教学

1. 《Java程序设计》（本科生）

2. 《企业级Java技术》（本科生）

3. 《算法设计与分析》（本科生）

4. 《认知实习》（本科生）

5. 《Data Mining》（全英文，研究生）

科研项目

主持项目

1. 国家自然科学基金项目（面上），基于肿瘤异质性的致病通路发现及候选药物组合预测，2022-01-01~2025-12-31，60万元，项目负责人

2. 国家自然科学基金项目（面上），基于单细胞多层次组学数据的肿瘤异质性及其调控机制研究，2018-01-01~2021-12-31，59万元，项目负责人

3. 国家自然科学基金项目（青年），基于数据挖掘的组蛋白修饰模式发现及转录调控功能研究，2014-01-01~2016-12-31，23万元，项目负责人

4. 上海市自然科学基金项目（面上），基于异构网络的肿瘤致病通路挖掘及候选药物筛选算法研究，2021-07-01~2024-06-30，20万元，项目负责人

5. 上海市自然科学基金项目（面上），融合多组学数据的肿瘤异质性挖掘及调控机制研究，2017-05-01~2020-04-30，20万元，项目负责人

6. 上海市自然科学基金项目（青年），基于生物信息计算的核小体定位模式及其功能研究，2013-10-01~2016-09-30，10万元，项目负责人

7. 上海市“晨光计划”人才项目，基于生物计算的组蛋白修饰模式及功能分析，2014-01-01~2016-12-31，6万元，项目负责人

8. 中央高校专项资金（重点）项目，2016-1-1~2018-12-30，40万元，项目负责人

9. 中央高校专项资金（自由探索）项目，2013-12-1~2015-12-30，10万元，项目负责人

10. 上海市智能信息处理重点实验室开放课题，组蛋白修饰模式发现及功能预测研究，2012-12-31~2014-12-30，2万元，项目负责人

参与项目

1. 国家自然科学基金项目（青年），面向大数据的实体解析方法及关键技术研究，2015-01-01~2017-12-31，24万元

2. 上海市自然科学基金项目（面上），大数据外包存储验证的可靠性保障技术研究，2020~2022，20万元

3. 上海市自然科学基金项目（面上），云存储数据完整性校验的数据抽样校验研究，2015~2018，10万元

4. 上海市自然科学基金项目（面上），社区网络非结构化数据检索关键技术研究，2012~2015，10万元

5. 上海市启明星计划（扬帆专项），面向复杂流程的服务自动组合方法及关键技术研究，2016.6~2019.5，20万元

学术论文

目前，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、网络服务和人工智能领域的顶级或重要学术期刊和国际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)

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, 人工智能顶级期刊, 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. (通信作者, 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, 共同一作, 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. (通信作者，SCI, IF=11.019, 服务计算顶级期刊, 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. (通信作者，SCI, IF=11.019, 服务计算顶级期刊, 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, 服务计算顶级期刊, 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, 服务计算顶级期刊, 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. (通信作者，SCI, IF=4.758, 服务计算顶级期刊, 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. (通信作者，SCI, IF=8.139, 人工智能顶级期刊, 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. (通信作者，SCI, IF=8.139, 人工智能顶级期刊, 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. (通信作者, 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. (通信作者, 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, 服务计算顶级会议)

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, 服务计算顶级会议)

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. (通信作者, CCF B类, 服务计算顶级会议)

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. (通信作者，CCF B类, 服务计算顶级会议)

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. (通信作者, CCF B类)

荣誉获奖

科研获奖

1. 上海市优秀博士学位论文奖，上海市教育委员会，2013

2.上海市“晨光计划”人才计划奖，上海市教育委员会，2014

3.教育部自然科学二等奖，面向生物组学数据的计算预测方法，2019

4.太阳集团tcy8722“三八”红旗手称号，2021

5.同济大学“百优博士”称号，2008

教学获奖

1. 太阳集团tcy8722“巾帼建功标兵”称号，2022

2.太阳集团tcy8722“师德建设标兵称号”，2019

3.太阳集团tcy8722“众恒”奖教金，2019

4.太阳集团tcy8722“众恒”奖教金，2014

5.太阳集团tcy8722“首届教师教学能力培训班”教学实践优胜学员，2014

专业服务

中国计算机学会-生物信息专委会执行委员

中国人工智能学会-自然计算与数字智能城市专委会委员

上海市计算机学会-人工智能专委会委员

上海市计算机学会-生物信息专委会委员

联系方式：

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.

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)

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)

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)

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)

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)

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