沐鸣注册 -（注册即享）专属优惠，快乐加倍！

甘楊蘭（教授）

發布時間： 2022-12-12

瀏覽量： 21210

甘楊蘭

女沐鸣注册🗂，教授、博導

個人簡介

2012年於同濟大學獲得計算機應用技術博士學位（獲上海市優秀博士學位論文），2009-2011年在Washington University in St. Louis計算機科學與工程系，從事計算生物學研究（國家公派留學，聯合培養博士生）。2012年9月起🤶🏽，進入沐鸣注册工作，歷任講師、副教授和教授。

主要研究方向包括生物信息學🈳👩🏻‍✈️、數據挖掘、服務計算、大數據分析等，已在生物信息學🩵、數據挖掘🔙、網絡服務和人工智能領域的頂級或重要學術期刊和國際會議上發表高水平學術論文50余篇。

作為項目負責人🙍🏿‍♀️🤔，近年來正在主持或已完成國家級和省部級等各類科研項目10余項，包括3項國家自然科學基金項目（面上2項👷🏻‍♂️、青年1項）、3項上海市自然科學基金項目（面上2項、青年1項）、1項上海市“晨光計劃”人才項目和2項中央高校專項資金項目（重點1項、自由探索1項）等🚴🏿。

2013年獲得上海市優秀博士學位論文獎、2014年獲得上海市“晨光計劃”人才計劃獎、2019年獲得教育部自然科學二等獎。

工作經歷

2021.10-至今沐鸣娱乐，計算機與科學技術沐鸣，教授👨🏻‍⚖️、博士生導師

2015.10-2021.9沐鸣娱乐❤️，計算機與科學技術沐鸣🚵🏻‍♀️，副教授、碩士生導師

2012.9-2015.9沐鸣娱乐🧑🏽‍🎤🫧，計算機與科學技術沐鸣，講師、碩士生導師

主要研究方向：

機器學習與智能算法、生物信息學、大數據分析、網絡服務

課程教學

1. 《Java程序設計》（本科生）

2. 《企業級Java技術》（本科生）

3. 《算法設計與分析》（本科生）

4. 《認知實習》（本科生）

5. 《Data Mining》（全英文，研究生）

科研項目

主持項目

1. 國家自然科學基金項目（面上），基於腫瘤異質性的致病通路發現及候選藥物組合預測，2022-01-01~2025-12-31，60萬元，項目負責人

2. 國家自然科學基金項目（面上），基於單細胞多層次組學數據的腫瘤異質性及其調控機製研究，2018-01-01~2021-12-31，59萬元，項目負責人

3. 國家自然科學基金項目（青年），基於數據挖掘的組蛋白修飾模式發現及轉錄調控功能研究，2014-01-01~2016-12-31，23萬元，項目負責人

4. 上海市自然科學基金項目（面上），基於異構網絡的腫瘤致病通路挖掘及候選藥物篩選算法研究🧇，2021-07-01~2024-06-30💗，20萬元🧜🏼‍♀️，項目負責人

5. 上海市自然科學基金項目（面上）💂🏿‍♂️，融合多組學數據的腫瘤異質性挖掘及調控機製研究🫗，2017-05-01~2020-04-30🆘，20萬元🎟🕯，項目負責人

6. 上海市自然科學基金項目（青年），基於生物信息計算的核小體定位模式及其功能研究，2013-10-01~2016-09-30🧑‍🦽‍➡️🖖🏼，10萬元，項目負責人

7. 上海市“晨光計劃”人才項目🏄🏿，基於生物計算的組蛋白修飾模式及功能分析🛼🧑🏼‍🔧，2014-01-01~2016-12-31🤸🏽‍♂️，6萬元，項目負責人

8. 中央高校專項資金（重點）項目🌏，2016-1-1~2018-12-30，40萬元🤾🏽‍♂️，項目負責人

9. 中央高校專項資金（自由探索）項目，2013-12-1~2015-12-30🟫，10萬元，項目負責人

10. 上海市智能信息處理重點實驗室開放課題，組蛋白修飾模式發現及功能預測研究，2012-12-31~2014-12-30，2萬元👇🏿，項目負責人

參與項目

1. 國家自然科學基金項目（青年）🟡🧏🏿‍♂️，面向大數據的實體解析方法及關鍵技術研究🍠，2015-01-01~2017-12-31，24萬元

2. 上海市自然科學基金項目（面上），大數據外包存儲驗證的可靠性保障技術研究🔄，2020~2022，20萬元

3. 上海市自然科學基金項目（面上），雲存儲數據完整性校驗的數據抽樣校驗研究✊🏿，2015~2018❣️，10萬元

4. 上海市自然科學基金項目（面上），社區網絡非結構化數據檢索關鍵技術研究，2012~2015🏛，10萬元

5. 上海市啟明星計劃（揚帆專項）👨🏿‍🦰，面向復雜流程的服務自動組合方法及關鍵技術研究🛬，2016.6~2019.5👨🏼‍🏫，20萬元

學術論文

目前👲🏿，已發表高水平學術論文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等生物信息學👱🏿‍♀️、數據挖掘、網絡服務和人工智能領域的頂級或重要學術期刊和國際會議上發表學術論文🤽‍♀️。

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, 生物信息學頂級期刊, 中科院小類1區)

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, 生物信息學頂級期刊, 中科院小類1區)

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, 人工智能頂級期刊, 中科院1區)

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類)

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類)

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類)

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, 中科院小類1區)

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區)

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區)

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區)

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區)

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區)

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, 中科院小類2區)

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, 中科院小類2區)

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, 中科院小類2區)

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, 中科院小類2區)

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, 中科院小類2區)

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區)

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區)

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區)

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, 服務計算頂級期刊, CCF A類)

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, 服務計算頂級期刊, CCF A類)

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, 服務計算頂級期刊, 中科院2區)

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, 服務計算頂級期刊, 中科院2區)

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, 服務計算頂級期刊, 中科院2區)

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, 人工智能頂級期刊, 中科院1區)

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, 人工智能頂級期刊, 中科院1區)

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區)

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區)

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區)

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類, 服務計算頂級會議)

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類, 服務計算頂級會議)

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類, 服務計算頂級會議)

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類, 服務計算頂級會議)

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類)

榮譽獲獎

科研獲獎

1. 上海市優秀博士學位論文獎，上海市教育委員會，2013

2.上海市“晨光計劃”人才計劃獎🧑🏽‍🏭，上海市教育委員會🧝🏽，2014

3.教育部自然科學二等獎，面向生物組學數據的計算預測方法，2019

4.沐鸣娱乐“三八”紅旗手稱號，2021

5.同濟大學“百優博士”稱號，2008

教學獲獎

1. 沐鸣娱乐“巾幗建功標兵”稱號，2022

2.沐鸣娱乐“師德建設標兵稱號”👱🏻‍♀️，2019

3.沐鸣娱乐“眾恒”獎教金，2019

4.沐鸣娱乐“眾恒”獎教金🐎，2014

5.沐鸣娱乐“首屆教師教學能力培訓班”教學實踐優勝學員，2014

專業服務

中國計算機學會-生物信息專委會執行委員

中國人工智能學會-自然計算與數字智能城市專委會委員

上海市計算機學會-人工智能專委會委員

上海市計算機學會-生物信息專委會委員

聯系方式：

電話🤝：021-67792291

郵箱🔽：ylgan@dhu.edu.cn

辦公室：1號沐鸣樓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)

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)

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》（English𓀄，postgraduate）

VII👾、Contact Information:

Email: ylgan AT dhu DOT edu DOT cn

Office: No. 1, Academic Building, Room 245