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个人简历

郑泽宇，湖州师范学院研究生导师。浙江大学计算机本科毕业，在日本文科省统计数理研究所获得博士学位，后历经日本理化学研究所，新加坡国立大学等单位，2014年回国任中科院沈阳自动化研究所大数据智能技术方向负责人，研究员，博导。入选中科院百人计划a类， 沈阳市领军人才，先后主持及参与国家重点研发计划，自然科学基金面上，中科院先导等国家级项目及沈飞、中信证券、海尔的横向项目10余项。

发表学术论文50余篇。出版学术专著1部，发明专利十余项。

已经培养博士3名，硕士9名，欢迎对人工智能大模型有兴趣的同学报名。

研究方向

长期从事复杂数据的统计分析以及ai算法的研究，擅长复杂系统分析及风险预测分析。主要是利用理工科的有关理论，包括数学，物理的理论和分析方法来做交叉学科（经济，工业，新材料）的人工智能研究。对金融数据分析，中医ai，有较为深入的研究，

代表性学术成果

（1）专著及教材：

工业互联网前沿技术丛书《设备大数据》华中科技大学出版社

（2）论文及专利：

[1]a novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge. artificial intelligence in medicine, 2022, 卷号: 124, 页码: 1-10

[2]bayesian-based water leakage detection with a novel multisensor fusion method in a deep manned submersible. applied ocean research, 2021, 卷号: 106, 页码: 1-11

[3]long-term correlations and multifractality of toll-free calls in china. physica a-statistical mechanics and its applications, 2021, 卷号: 567, 页码: 1-12

[4]pose estimation at night in infrared images using a lightweight multi-stage attention network signal image and video processing, 2021, 卷号: 15, 期号: 8, 页码: 1757-1765

[5]unsupervised fault detection with a decision fusion method based on bayesian in the pumping unit. ieee sensors journal, 2021, 卷号: 21, 期号: 19, 页码: 21829-21838

[6]tcmner and pubmed: a novel chinese character-level-based model and a dataset for tcm named entity recognition. journal of healthcare engineering, 2021, 卷号: 2021, 页码: 1-10

[7]a domain-guided noise-optimization-based inversion method for facial image manipulation. ieee transactions on image processing, 2021, 卷号: 30, 页码: 6198-6211

[8]reliability estimation for zero-failure data based on confidence limit analysis method mathematical problems in engineering, 2020, 卷号: 2020, 页码: 1-11

[9]a method for degradation prediction based on hidden semi-markov models with mixture of kernels. computers in industry, 2020, 卷号: 122, 页码: 1-13

[10]dynamics of calling activity to toll-free numbers in china. plos one, 2020, 卷号: 15, 期号: 3, 页码: 1-16

[11]an approach to extract state information from multivariate time series. journal of computers (taiwan), 2020, 卷号: 31, 期号: 6, 页码: 1-11

[12]generating and editing arbitrary facial images by learning feature axis. ieee access, 2020, 卷号: 8, 页码: 135468-135478

[13]path planning method with improved artificial potential field-a reinforcement learning perspective. ieee access, 2020, 卷号: 8, 页码: 135513-135523

[14]new results on joint classification of vertical structure of ocean properties at a global scale. ieee access, 2020, 卷号: 8, 页码: 66448-66455

[15]special cases in failure analysis: research on the optimal confidence limit evaluation by zero-failure data. journal of failure analysis and prevention, 2020, 卷号: 20, 页码: 1638–1643

[16]new dynamics between volume and volatility. physica a: statistical mechanics and its applications, 2019, 卷号: 525, 页码: 1343-1350

[17]attentiveherb: a novel method for traditional medicine prescription generation. ieee access, 2019, 卷号: 7, 页码: 139069-139085

[18]protein complex identification based on weighted ppi network with multi-source information. journal of theoretical biology, 2019, 卷号: 477, 页码: 77-83

主要科研项目

主持：

面向“碳减排”要求的系统风险评估研究  自然科学基金面上

设备检测检测大数据云平台国家重点研发

社会兼职

scientific reports 编辑

physica a 客座编辑

自然科学基金（管理及信息领域）评审专家

国家重点研发计划人工智能领域评审专家

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