报告人：王琳教授
工作单位：济南大学信息科学与工程学院
报告题目：基于学习的优化和逆向建模
报告时间：2024年6月11日（周二）16:00
报告地点：文理楼290
内容摘要：优化是机器学习中基于数据或奖励奖励模型的关键领域，优化本身也可以从学习中受益。在本讲座中，我们将首先重新思考 “无免费午餐定理”（No-Free-Lunch Theorem），找出其漏洞，并展示一些基于学习的优化器。另一部分将聚焦科学建模。我们将介绍不断演化的逆向建模方法，它为发现知识和提取自然规律带来了新的思路。我们还将展示一些逆向建模的实际案例。
个人简介：王琳，博士，博士生导师，济南大学信息科学与工程学院教授，山东省网络环境智能计算技术重点实验室常务副主任。获山东省自然科学杰出青年基金、山东省泰山学者青年专家、山东省省优青、山东省优秀研究生导师、济南市青年科技明星计划。2016-2018年担任加拿大滑铁卢大学兼职副教授、研究生导师，2017年起担任韩国水原大学兼职博士生导师。目前担任ACM计算机科学教育分会中国区理事，ACM济南分会秘书长，山东省人工智能学会副秘书长兼组织工委秘书长，中国自动化学会青年工作委员会委员，山东省人工智能学会常务理事，山东计算机学会理事。担任国际会议IEEE SPAC程序委员会共同主席，ACM SIGCSE China、AAAI、ICONIP等重要国际会议程序委员会委员。主要从事机器学习、反向建模、科学计算等领域的研究工作。近年来在IEEE TEVC、TNNLS、TSMCS、TCYB、TCDS、TFS、AAAI、IJCAI、GECCO、《中国科学》、《软件学报》等国内外重要学术刊物及国际会议上发表论文105篇，国家发明专利授权5项。机器学习反演水泥模型成果入选陶瓷材料顶刊《美国陶瓷学会期刊》创刊百年特辑。获得山东省科技进步二等奖、山东省人工智能自然科学一等奖、山东省自然科学学术创新奖、ACM济南新星奖等奖励。
报告题目：Learning-Based Optimization and Reverse Modeling
报告简介：Optimization is a critical field in machine learning for inducing models according to data or rewards. However, the optimization itself could also benefit from learning. In this talk, we will first rethink the No-Free-Lunch Theorem to find its loophole and exhibit some learning-based optimizers. Another section will focus on scientific modeling. We will introduce the evolving reverse modeling which brings a gleam of dawn for discovering knowledge and distilling natural laws. Some real-world examples of evolving reverse modeling will be exhibited.
个人简介：
王琳，博士，博士生导师，济南大学信息科学与工程学院教授，山东省网络环境智能计算技术重点实验室常务副主任。获山东省自然科学杰出青年基金、山东省泰山学者青年专家、山东省省优青、山东省优秀研究生导师、济南市青年科技明星计划。2016-2018年担任加拿大滑铁卢大学兼职副教授、研究生导师，2017年起担任韩国水原大学兼职博士生导师。目前担任ACM计算机科学教育分会中国区理事，ACM济南分会秘书长，山东省人工智能学会副秘书长兼组织工委秘书长，中国自动化学会青年工作委员会委员，山东省人工智能学会常务理事，山东计算机学会理事。担任国际会议IEEE SPAC程序委员会共同主席，ACM SIGCSE China、AAAI、ICONIP等重要国际会议程序委员会委员。主要从事机器学习、反向建模、科学计算等领域的研究工作。近年来在IEEE TEVC、TNNLS、TSMCS、TCYB、TCDS、TFS、AAAI、IJCAI、GECCO、《中国科学》、《软件学报》等国内外重要学术刊物及国际会议上发表论文105篇，国家发明专利授权5项。机器学习反演水泥模型成果入选陶瓷材料顶刊《美国陶瓷学会期刊》创刊百年特辑。获得山东省科技进步二等奖、山东省人工智能自然科学一等奖、山东省自然科学学术创新奖、ACM济南新星奖等奖励。
Academic Report Notice of Lin Wang : Learning-Based Optimization and Reverse Modeling
Speaker:Professor Lin Wang
Affiliation:Ji'nan University (Shandong province)
Title:Learning-Based Optimization and Reverse Modeling
Time:June 11, 2024 (Saturday)16:00
Location:290 Arts and Sciences Building
Abstract：Optimization is a critical field in machine learning for inducing models according to data or rewards. However, the optimization itself could also benefit from learning. In this talk, we will first rethink the No-Free-Lunch Theorem to find its loophole and exhibit some learning-based optimizers. Another section will focus on scientific modeling. We will introduce the evolving reverse modeling which brings a gleam of dawn for discovering knowledge and distilling natural laws. Some real-world examples of evolving reverse modeling will be exhibited.
Personal Introduction:Lin Wang, Ph.D., Ph.D. Supervisor, Professor of School of Information Science and Engineering, Jinan University, and Executive Deputy Director of Shandong Province Key Laboratory of Intelligent Computing Technology for Network Environment. He was awarded the Outstanding Youth Fund for Natural Science of Shandong Province, Young Expert of Taishan Scholars of Shandong Province, Excellent Youth of Shandong Province, Excellent Graduate Student Tutor of Shandong Province, and Jinan Young Science and Technology Star Program.He served as a part-time Associate Professor and Graduate Student Tutor at the University of Waterloo, Canada, from 2016-2018, and a part-time Ph.D. Tutor at Suwon University, Korea, since 2017. Currently, he serves as the director of ACM Computer Science Education Division China, the secretary-general of ACM Jinan Chapter, the deputy secretary-general of Shandong Artificial Intelligence Society and the secretary-general of the Organization Work Committee, the member of the Youth Working Committee of the Chinese Society of Automation, the executive director of Shandong Artificial Intelligence Society, and the council member of Shandong Computer Society. He serves as the co-chair of the program committee of IEEE SPAC, a member of the program committee of ACM SIGCSE China, AAAI, ICONIP and other important international conferences. He is mainly engaged in the research work in the fields of machine learning, inverse modeling, and scientific computing. In recent years, he has published 105 papers in important academic journals and international conferences at home and abroad, such as IEEE TEVC, TNNLS, TSMCS, TCYB, TCDS, TFS, AAAI, IJCAI, GECCO, SCIENCE CHINA, JOURNAL OF SOFTWARE, etc., and has been authorized with 5 national invention patents. The results of machine learning inversion cement model were selected as the special issue of the top journal of ceramic materials, Journal of the American Ceramic Society. He was awarded the second prize of Shandong Province Scientific and Technological Progress, the first prize of Shandong Province Artificial Intelligence Natural Science, the Shandong Province Natural Science Academic Innovation Award, and the ACM Jinan Rising Star Award.
