陳德華

男  教授、博導

個人簡介🦵💂🏻：

計算機軟件與理論系教授，博士生導師𓀋。現任上海計算機開放系統協會副理事長，上海市計算機學會數據庫專委會副主任🫲🏼。牽頭主持國家重點研發計劃🤾🏿‍♀️、上海市科委重大基礎研究、上海市科委科技創新行動計劃、上海市經信委大數據專項、上海市經信委智慧城市建設專項等科研項目，參與國家自然科學基金面上項目👩‍🔧👨🏽‍🚀、科技部核高基研發計劃項目、上海市經信委人工智能專項資金等課題研究。研究成果發表於醫療信息與數據挖掘國際高水平學術期刊和國際頂級學術會議🎈💾，包括TCBB、BMC Bioinformatics和BIBM等。申請發明專利10余項⇒，獲得授權5項。講授了《數據庫系統原理》、《數據庫應用課程設計》、《軟件工程》、《數據庫性能調優》🪼、《數據倉庫與數據挖掘》等多門計算機專業主幹課程，參與多項學校及沐鸣教改項目。

研究方向：

智慧醫療、數據科學🙍🏿‍♂️、深度學習可解釋性、多組學分析（影像多組學、生物多組學等）

講授課程👨🏼‍🦰：

數據庫系統原理、數據庫性能調優、數據倉庫與數據挖掘↕️、數據庫應用課程設計

主要研究成果：

近期主持或參與的科研項目：

主持科研項目列表🚣🏻‍♀️：

1.國家重點研發計劃項目，因果推理增強的腫瘤AI診療模型及可解釋性研究，2020.1-2022.12 （在研）

2.上海市大數據專項💁🏻‍♀️，基於瑞金醫院大數據的糖尿病輔助診療及深度應用示範👱🏻，2018/7-2020/6

3.上海市科技創新行動計劃《多中心多病種臨床大數據分析處理研究》（批準號：15511106900） 2015.7-2017.7；

4.上海市科技發展基金項目《數據自治開放應用技術研究》（批準號💂🏼：16JC1400802）2016.7-2019.7

參與科研項目列表🧚🏼：

1 上海市智慧城市專項《基於瑞金醫院的臨床大數據平臺建設及深度應用》（批準號🚴：XX-XXFZ-01-14-6349） 2015.1-2016.12🤵🏽‍♂️🐖；

2 上海市信息化發展專項🧜🏿‍♀️，大數據安全加固，2016/7至2018/7

3 上海市經信委人工智能發展專項，面向專病的智能臨床輔助決策產品研發及產業化，2018/1-2019/12

4 上海市科委科技行動計劃項目，基於人工智能的醫學影像報告文本結構化及影像關聯，2018/1至2019/12

5 上海市經信委信息化發展專項🏺，面向異構體系結構的高性能分布式數據處理技術，2018/7-2020/6

近幾年的論著：

1、Dehua Chen, Hongjin Zhao, Jianrong He, Qiao Pan, Weiliang Zhao🧑🏼‍⚖️，An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports. BIBM 2021(CCF-B)

2🚋㊙️、Wenqi Li, Dehua Chen, Jiajin Le,Coronary Heart Disease Prediction Based on Combined Reinforcement Multitask Progressive Networks. BIBM 2020(CCF-B)

3、Dehua Chen, Meihuaju Huang, Weimin Li. Knowledge-Powered Deep Breast Tumor Classification with Multiple Medical Reports, IEEE/ACM transactions on computational biology and bioinformatics. 2019.11 (SCI二區、CCF-B)

4、Dehua Chen, Ying Mao, Jianqiao Zhou. Constructing Medical Image Domain Ontology with Anatomical Knowledge，2019 IEEE International Conference on Bioinformatics and Biomedicine ,BIBM2019. (CCF-B)

5、Chen Dehua  ; Qian Guangjun ; Pan Qiao, Breast Cancer Classification with Electronic Medical Records Using Hierarchical Attention Bidirectional Networks, 2018 IEEE International Conference on Bioinformatics and Biomedicine ,BIBM2018. (CCF-B)

6、Yingkang Han, Dehua Chen, Yishu Luo, Yijie Dong，Lymphoma Ultrasound Image Segmentation with Self-Attention Mechanism and Stable Learning. ICANN (1) 2022: 207-218

7、Dehua Chen, Liping Zhang, Wei Zhang, Kun Shao, Weiliang Zhao, Xiaokang Zhou🎲，

Deep Personalized Prediction of MPA-AUC with Attentive Interactions in Kidney Transplantation. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021.(CCF-C)

8、Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani，Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. IJCNN 2020(CCF-C)

9、Dehua Chen; Yunying Wu; Jiajin Le; Qiao Pan, Context-aware end-to-end relation extracting from clinical texts with attention-based bi-tree-GRU, the 28th International Conference on Inductive Logic Programming (UCS-ILP 2018), 2018.9.2-2018.9.4, Ferrara, Italy, 21-35.（CCF-C）

10、Chen Dehua  ; Qian Guangjun ; Shi Cheng  ; Pan Qiao , Breast Cancer Malignancy Prediction Using Incremental Combination of Multiple Recurrent Neural Networks, 24th International Conference on Neural Information Processing (ICONIP 2017), 2017.11.14-2017.11.18, Guangzhou, China, 43-52. （CCF-C）

11、Chen Dehua; Shi Cheng; Wang Mei; Pan Qiao, Thyroid Nodule Classification Using Hierarchical Recurrent Neural Network with Multiple Ultrasound Reports. 24th International Conference on Neural Information Processing (ICONIP 2017), 2017.11.14-2017.11.18, Guangzhou, China.（CCF-C）

12🤘、陳德華,殷蘇娜,樂嘉錦,王梅,潘喬,朱立峰. 一種面向臨床領域時序知識圖譜的鏈接預測模型[J]. 計算機研究與發展, 2017.12.1, 54(12): 2687-2697.

13、田馳遠, 陳德華, 王梅,等. 基於依存句法分析的病理報告結構化處理方法[J]. 計算機研究與發展, 2016, 52(12):2669-2680.

已授權專利：

1 基於領域本體的乳腺超聲報告結構化方法 授權年月2022.11

2 非結構化中文乳腺超聲文本的結構化處理方法 授權年月2019.3

3 一種中文病理文本結構化處理方法授權年月2018.2

4 一種Web日誌預處理中基於UUID的會話合並方法授權年月2017.9

5 一種識別寬帶網絡中獨立用戶賬戶的方法授權年月2017.6

聯系方式：

郵箱👷🏽：chendehua@dhu.edu.cn

辦公室：1號沐鸣樓341室

研究生實驗室：圖文中心719實驗室

DeHua Chen

Gender:Male  Professor, PhD Director

Bio:I am a professor in the Department of Computer Software and Theory, and a supervisor of doctoral students. He is currently the vice chairman of Shanghai Computer Open Systems Association and the vice director of Database Special Committee of Shanghai Computer Society. He is leading the research projects of National Key R&D Program, Major Basic Research of Shanghai Science and Technology Commission, Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission, Big Data Special Project of Shanghai Economic and Information Commission, Smart City Construction Special Project of Shanghai Economic and Information Commission, and participating in the research projects of National Natural Science Foundation of China, Nuclear High Foundation R&D Program of Ministry of Science and Technology, and Artificial Intelligence Special Fund of Shanghai Economic and Information Commission. His research results have been published in international high-level academic journals and top international academic conferences on medical information and data mining, including TCBB, BMC Bioinformatics and BIBM. He has applied for more than 10 invention patents and received 5 authorizations. He has taught several main courses in computer science such as "Database System Principles", "Database Application Course Design", "Software Engineering", "Database Performance Tuning", "Data Warehousing and Data Mining", etc. He has participated in many teaching and reform projects in the university and college.

Research Areas:Intelligent medicine, data science, deep learning interpretability, multi-omics analysis (imaging multi-omics, biological multi-omics, etc.)

Main Courses Taught:Database system principle, database performance tuning, data warehouse and data mining, database application course design

Publications:

1、Dehua Chen, Hongjin Zhao, Jianrong He, Qiao Pan, Weiliang Zhao，An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports. BIBM 2021(CCF-B)

2🪈🐶、Wenqi Li, Dehua Chen, Jiajin Le,Coronary Heart Disease Prediction Based on Combined Reinforcement Multitask Progressive Networks. BIBM 2020(CCF-B)

3、Dehua Chen, Meihuaju Huang, Weimin Li. Knowledge-Powered Deep Breast Tumor Classification with Multiple Medical Reports, IEEE/ACM transactions on computational biology and bioinformatics. 2019.11 (SCI二區、CCF-B)

4、Dehua Chen, Ying Mao, Jianqiao Zhou. Constructing Medical Image Domain Ontology with Anatomical Knowledge🚶🏻‍♂️‍➡️，2019 IEEE International Conference on Bioinformatics and Biomedicine ,BIBM2019. (CCF-B)

5、Chen Dehua  ; Qian Guangjun ; Pan Qiao, Breast Cancer Classification with Electronic Medical Records Using Hierarchical Attention Bidirectional Networks, 2018 IEEE International Conference on Bioinformatics and Biomedicine ,BIBM2018. (CCF-B)

6、Yingkang Han, Dehua Chen, Yishu Luo, Yijie Dong，Lymphoma Ultrasound Image Segmentation with Self-Attention Mechanism and Stable Learning. ICANN (1) 2022: 207-218

7、Dehua Chen, Liping Zhang, Wei Zhang, Kun Shao, Weiliang Zhao, Xiaokang Zhou，

Deep Personalized Prediction of MPA-AUC with Attentive Interactions in Kidney Transplantation. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021.(CCF-C)

8🏄🏻‍♂️、Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani，Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. IJCNN 2020(CCF-C)

9🌦、Dehua Chen; Yunying Wu; Jiajin Le; Qiao Pan, Context-aware end-to-end relation extracting from clinical texts with attention-based bi-tree-GRU, the 28th International Conference on Inductive Logic Programming (UCS-ILP 2018), 2018.9.2-2018.9.4, Ferrara, Italy, 21-35.（CCF-C）

10、Chen Dehua  ; Qian Guangjun ; Shi Cheng  ; Pan Qiao , Breast Cancer Malignancy Prediction Using Incremental Combination of Multiple Recurrent Neural Networks, 24th International Conference on Neural Information Processing (ICONIP 2017), 2017.11.14-2017.11.18, Guangzhou, China, 43-52. （CCF-C）

11、Chen Dehua; Shi Cheng; Wang Mei; Pan Qiao, Thyroid Nodule Classification Using Hierarchical Recurrent Neural Network with Multiple Ultrasound Reports. 24th International Conference on Neural Information Processing (ICONIP 2017), 2017.11.14-2017.11.18, Guangzhou, China.（CCF-C）

12💕、Dehua Chen,Suna Yin,Jiajing Le,Mei Wang,Qiao Pan,Lifeng Zhu. A link prediction model for clinical domain time-series knowledge graphs[J].Computer Research and Development , 2017.12.1, 54(12): 2687-2697.

13🤥、Chiyuan Tian, Dehua Chen, Mei Wang, etc. A structured approach to pathology reports based on dependency syntax analysis[J]. Computer Research and Development, 2016, 52(12):2669-2680.

Licensed Patents：

1 Method for structuring breast ultrasound reports based on domain ontology License year 2022.11

2 Structured processing method for unstructured Chinese breast ultrasound text License year 2019.3

3 A structured processing method for Chinese pathology text License year 2018.2

4 A UUID-based session merging method in Web log preprocessing License year month 2017.9

5 A method for identifying separate user accounts in broadband networks License year month 2017.6

Main Research Projects:

List of presided scientific projects.

1. National Key R&D Program Project, Causal Reasoning Enhanced Tumor AI Diagnosis and Treatment Model and Interpretability Research, 2020.1-2022.12 (under research)

2. Shanghai Big Data Special Project, Diabetes Aided Diagnosis and Deep Application Demonstration Based on Big Data of Ruijin Hospital, 2018/7-2020/6

3. Shanghai Science and Technology Innovation Action Plan, Research on Multi-Center Multi-Path Clinical Big Data Analysis and Processing (Approval No. 15511106900) 2015.7-2017.7.

4. Shanghai Science and Technology Development Fund Project "Research on Data Autonomy Open Application Technology" (Approval No. 16JC1400802) 2016.7-2019.7

List of participating scientific research projects.

1 Shanghai Smart City Special Project, Construction and Deep Application of Clinical Big Data Platform Based on Ruijin Hospital (Approval No. XX-XXFZ-01-14-6349) 2015.1-2016.12.

2 Shanghai Information Development Special Project, Big Data Security Reinforcement, 2016/7 to 2018/7

3 Shanghai Municipal Economic and Information Commission special project for the development of artificial intelligence, R&D and industrialization of intelligent clinical auxiliary decision-making products for specialized diseases, 2018/1-2019/12

4 Shanghai Municipal Science and Technology Commission Science and Technology Action Plan Project, Text structuring and image correlation of medical image reports based on artificial intelligence, 2018/1 to 2019/12

5 Shanghai Municipal Commission of Information Technology Development Special Project, High Performance Distributed Data Processing Technology for Heterogeneous Architecture, 2018/7-2020/6

Mail🧚🏻‍♂️：chendehua@dhu.edu.cn

Address：Room 341, College Building No.1