王梅
女 沐鸣注册 軟件與理論系 教授
個人簡介：2008年於復旦大學獲博士學位，新加坡國立大學博士後。目前，申請和授權發明專利10余項，發表文章共計50余篇，指導學生發表於計算機領域國內權威雜誌《軟件學報》、《計算機學報》🚡、《計算機研究與發展》等文章共計10余篇🏌🏼♂️。上海市計算機學會會員，上海市計算機學會青工委委員，上海市開放系統協會會員🕵️。《計算機學報》👍、《計算機研究與發展》等國內權威期刊審稿人。
研究方向🧜🏻♂️：
數據庫、大數據與人工智能、深度學習模型與工具
講授課程：
本科生：離散數學，數據結構
研究生👩🏻🎨：數據庫系統實現
全英授課（碩士留學生）：Implementation of Database Systems
主要研究成果：
近期主持或參與的科研項目：
主持項目列表🏞👷🏽♂️：
1.面向異構體系結構的高性能分布式達夢大數據管理平臺🔋，上海市經信委🔯，2018.01~ 2020.12🪽。
2.面向大數據的存儲與檢索優化模型研究與應用📛，中央高校專項資助，2014.01~ 2016.12.
3.基於不確定性視覺模型的圖像語義抽取問題研究🛒🤷🏽，國家自然科學基金，2012.01~ 2014.12.
4.社區網絡非結構化數據檢索關鍵技術研究，上海市自然科學基金🌿，2011.04~ 2014.03.
重點參與項目：
1.因果推理增強的腫瘤AI診療模型及可解釋性研究💂🏻♀️，國家重點研發計劃🤦🏽♂️，2020.01 ~ 2022.12。
2.基於人工智能的醫學影像報告文本結構化及影像關聯，上海市科委，2018.07 ~ 2020.06🦿。
3.面向專病的智能臨床輔助決策產品研發與產業化，上海市科委，2017.07 ~ 2019. 06👸🏽👩❤️💋👨。
4.數據開放共享應用技術研究，上海市科技創新行動計劃重大專項，2016.07~ 2019.06。
5.大型通用數據庫管理系統與套件研發及產業化，國家核高基重大專項，2010.01~ 2012.06🙆🏿。
近幾年的論著📐、專利🔇：
1.Mei Wang, Zhihua Lin R, Ruihua Li, Ye Li, Jianwen Su. Disease Progress with Imprecise Lab Test Results, 2022, Artificial Intelligence in Medicine.
2.Mei Wang, Zhihua Lin, Jianwen Su. Predicting Disease Progress with Imprecise Lab Test Result. 27th KDD workshop on applied Data Science in Health, 2021. arXiv: 2107.03620. (Best Paper Award)
3.Mei Wang, Haihan Yao, Yanxia Qin. Medical Report Generation with Multi-Attention for Abnormal Keyword Description and History Report. 27th KDD workshop on Document Intelligence, 2021.
4.Mei Wang, Jianwen Su, Haiqin Lu. Impact of Medical Data Imprecision on Learning Results. 26th KDD workshop on applied Data Science in Health, 2020. arXiv: 2007.12375.
5.Lihao Liu, Mei Wang, Yijie Dong, Weiliang Zhao, Jian Yang, Jianwen Su. Semantic Tree Driven Thyroid Ultrasound Report Generation by Voice Input. The 6th International Conf on Health Informatics and Medical Systems. Springer Nature, Transactions on Computational Science & Computational Intelligence, 2020.
6.Shan Ye, Mei Wang, Yijie Dong. Historical Report Assist Medical Report Generation, 14th International Conference on Health Informatics, 2020 （最佳學生論文提名）.
7.Limin Wang, Mei Wang. A Value-Attribute Mapping Method Based on Inverted Index, CBD 2018.
8.Dehua Chen, Qiao Pan, Mei Wang. A deep-learning based ultrasound text classifier for predicting benign and malignant thyroid nodules. ICGI 2017.
9.Yue Li, Qian Hao,Mei Wang. An Ontology-Based Data Organization Method, CBD 2017.
10.Mei Wang，Meng Xiao, Sancheng Peng, Guohua Liu. A hybrid index for temporal big data, Future Generation Computer Systems❗️🤸🏼♀️，v72：264-272𓀗，2017.7.
11.田馳遠，陳德華，王梅，樂嘉錦🤵🏿♂️，基於依存句法分析的病理報告結構化處理方法，計算機研究與發展♟，2016,53(12)🍬： 2669-2680。
12.丁祥武，郭濤👨🏻🦼，王梅，金冉🪈，一種大規模分類數據聚類算法及其並行實現💾🧑🏼🌾，計算機研究與發展，2016, 53 (5)：1063-1071。
13,Mei Wang，Xiaoling Xia🧑🏿🎨，Xiangdong Zhou，Jiajin Le，Effective Automatic Image Annotation via Integrated Discriminative and Generative Models👰🏿👕，Information Sciences，2014，3（262）：159-171。
14.謝恒，王梅4️⃣🤟🏼，樂嘉錦，基於Hive的計算結果特征提取與重用策略𓀒，計算機研究與發展👈🏼，2015，52（9）：2014-2024。
15.王梅👨👩👧，周嬌玲，樂嘉錦，一種列存儲數據倉庫中的數據復用策略👩🦳，計算機學報，2013，（08）🧟♂️：1626-1635🈯️🪚。
16.王梅，陸戌辰，樂嘉錦，列存儲系統面向列的連接順序優化研究🐊，計算機研究與發展🚣🏽♀️，2013，（07）：1473-1483。
17.夏小玲，李海燕🚍，王梅🤗，列存儲數據倉庫中基於概率的保序字符串壓縮方法🤽🏻♂️，計算機研究與發展🤶🏽，2013，（08）👩🏻🎨：1674-1682🙇🏽👷🏻♀️。
18.李曄鋒，樂嘉錦⤵️，王梅，適用於範圍查詢的列存儲數據桶劃分算法，計算機研究與發展，2013，（03）🙋🏼♀️：594-601。
19.李清炳，丁祥武，王梅，APWAH🔢：一種自適應劃分字對齊的混合位向量壓縮技術🐿，計算機研究與發展，2012🔕，49（10）👍🏽：114-119。
20.嚴秋玲，孫莉，王梅，樂嘉錦，劉國華，列存儲數據倉庫中啟發式查詢優化機製，計算機學報，2011🧑🦳，（10）🗝🧑🏽🦱：2018-2026。
聯系方式：
地址🧥👨🏻🌾：上海市松江區人民北路2999號1號沐鸣樓 201620
電話：67782286
郵箱：wangmei@dhu.edu.cn
Mei Wang
Female, Donghua University, School of Computer Science and Technology, Professor
Received a doctor's degree from Fudan University in 2008. Postdoctor in National University of Singapore in 2008 ~ 2009. Research fellow in UCSB in 2020.
Research Areas: database, big data,AI and deep learning
Main Courses Taught: Data Structure, Discrete Math, Implementation of Database
Publications:
1 Mei Wang, Zhihua Lin R, Ruihua Li, Ye Li, Jianwen Su. Disease Progress with Imprecise Lab Test Results, 2022, Artificial Intelligence in Medicine.
2. Mei Wang, Zhihua Lin, Jianwen Su. Predicting Disease Progress with Imprecise Lab Test Result. 27th KDD workshop on applied Data Science in Health, 2021. arXiv: 2107.03620. (Best Paper Award)
3. Mei Wang, Haihan Yao, Yanxia Qin. Medical Report Generation with Multi-Attention for Abnormal Keyword Description and History Report. 27th KDD workshop on Document Intelligence, 2021.
4. Mei Wang, Jianwen Su, Haiqin Lu. Impact of Medical Data Imprecision on Learning Results. 26th KDD workshop on applied Data Science in Health, 2020. arXiv: 2007.12375.
5. Lihao Liu, Mei Wang, Yijie Dong, Weiliang Zhao, Jian Yang, Jianwen Su. Semantic Tree Driven Thyroid Ultrasound Report Generation by Voice Input. The 6th International Conf on Health Informatics and Medical Systems. Springer Nature, Transactions on Computational Science & Computational Intelligence, 2020.
6. Shan Ye, Mei Wang, Yijie Dong. Historical Report Assist Medical Report Generation, 14th International Conference on Health Informatics, 2020 （最佳學生論文提名）.
7．Limin Wang, Mei Wang. A Value-Attribute Mapping Method Based on Inverted Index, CBD 2018.
8. Dehua Chen, Qiao Pan, Mei Wang. A deep-learning based ultrasound text classifier for predicting benign and malignant thyroid nodules. ICGI 2017.
9. Yue Li, Qian Hao, Mei Wang. An Ontology-Based Data Organization Method, CBD 2017.
10. Mei Wang，Meng Xiao, Sancheng Peng, Guohua Liu. A hybrid index for temporal big data, Future Generation Computer Systems，v72：264-272📖，2017.7.
11. H. Xue, M. Wang. A document-relation associated query system based on distributed middleware. Proceedings of 5th International Conference on Computer Science and Network Technology, ICCSNT 2016.
12. H. Xie, M. Wang*, J. J. Le, L. Sun. Calculation results characteristics extract and reuse strategy based on hive. Computer Research and Development, v 52, n 9, p 2014-2024, September 1, 2015.
13. M. Wang, M. Xiao. SHB+-Tree: A segmentation hybrid index structure for temporal data. 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015.
14. M. Wang, X. L. Xia, J.J Le, X. D Zhou. Effective automatic image annotation via integrated discriminative and generative models. Information Sciences, v 262, p 159-171, March 20, 2014.
15. M. Wang, X. C. Lu, J. J. Le. Column-oriented join order optimization in column store systems. Computer Research and Development, v 50, n 7, p 1473-1483, July 2013.
16. M. Wang, J. L. Zhou, J. J. Le. A data reusing strategy in column-store data warehouse. Chinese Journal of Computers, v 36, n 8, p 1626-1635, August 2013.
17. M. Wang, W. Mao, H. Goh. Music search engine with virtual musical instruments playing interfaceSource. Advances in Multimedia Modeling - 19th International Conference, MMM 2013.
18. M. Wang, F. Li, M. Wang. Collaborative visual modeling for automatic image annotation via sparse model coding: Neurocomputing, v 95, p 22-28, October 15, 2012
19. M. Wang, H. T. Tao, G. Y. Hao, X. D. Zhou, W. Wang, L. L, B. L. Shi. PictureBook: A text-and-image summary system for web search result. Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE 2008.
20. M. Wang, X. D. Zhou, T. S. Chua. Automatic image annotation via local multi-label classification Proceedings of the International Conference on Content-based Image and Video Retrieval, CIVR 2008.
Main Research Projects:
1. Research on AI diagnosis and treatment model of tumor and the interpretability with enhanced causal reasoning, National key R&D Plan, 2020.01 ~ 2022.12, participated。
2. High performance distributed Dameng big data management platform for heterogeneous architecture, Shanghai Municipal Commission of Economy and Information Technology, 2018.01~ 2020.12, host。
3. Research on image semantic extraction based on uncertain visual model, National Natural Science Foundation of China，2012.01~ 2014.12, host.
4. Research on Key Technologies of Unstructured Data Retrieval in Community Networks, Shanghai Natural Science Foundation🚞，2011.04~ 2014.03, host.
5. Research on the key technology of data opening and sharing application, Shanghai scientific and technological innovation action plan, 2016.07~ 2019.06, participated.
6. Large scale general database management system🧖🏼，National Science and Technology Major Project🏃🏻♀️➡️，2010.01~ 2012.06, participated。
Address:Building 1 2999 North Renmin Road, Songjiang District, Shanghai, 201620, China
Tel: +86-21-67792286
Email: wangmei@dhu.edu.cn