人才队伍
人工智能生物医药中心
王宇光
课题组长
副教授
电子邮箱：yuguang.wang@sjtu.edu.cn
个人网页/课题组主页: https://yuguangwang.github.io/
教育背景
工作经历
研究方向
荣誉奖励/承担项目
代表性论文和著作
2011-2015 新南威尔士大学 哲学博士
2021-至今 上海交通大学自然科学研究院、数学科学学院 副教授
2020-2021 马克斯普朗克研究所 (Max Planck Institute) 研究科学家
2018-2020 新南威尔士大学 (University of New South Wales) 博士后
2018 布朗大学计算与实验研究所 (ICERM, Brown University) 博士后
2016-2018 拉筹伯大学 (La Trobe University) 研究员
2015-2016 香港城市大学 (City University of Hong Kong) 博士后
人工智能（几何深度学习、图神经网络）、应用数学（应用与计算调和分析、最优化方法、数值分析、统计学）
2022 上海海外高层次人才
2021 ICML亮点文章
2020 ICML Top Reviewer
2021 How Framelets Enhance Graph Neural Networks (特邀报告), The University of Sydney Business School Seminar, University of Sydney and Online, 2021-4-30至2021-4-30 (会议报告)
2021 Weisfeiler and Lehman Go Topological: M essage Passing Simplicial Networks(特邀报告), AI Group Seminar, University of Cambridge, Unive rsity of Cambridge and online, 2021-5-11至2021-5-11 (会议报告)
Xuebin Zheng; Bingxin Zhou; Junbin Gao; Yu Guang Wang; Pietro Lio; Ming Li; Guido Montufar; How framelets enhance graph neural networks (通讯作者), ICML 2021 (CCF A; AI顶会; ICML亮点文章)
Cristian Bodnar; Fabrizio Frasca; Yu Guang Wang; Nina Otter; Guido Montufar; Pietro Lio; Michael M. Bronstein; Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks (共一), ICML 2021 (CCF A; AI顶会; ICML亮点文章)
Yu Guang Wang; Ming Li; Zheng Ma; Guido Montufar; Xiaosheng Zhuang; Yanan Fan; Haar Graph Pooling, ICML 2020 (CCF A; AI顶会)
Cristian Bodnar; Fabrizio Frasca; Nina Otter; Yu Guang Wang; Pietro Liò; Guido Montúfar; Michael Bronstein; Weisfeiler and Lehman go cellular: CW networks, NeurIPS 2021 (CCF A; AI顶会)
Zheng Ma; Junyu Xuan; Yu Guang Wang; Ming Li; Pietro Lio; Path Integral Based Convolution and Pooling for Graph Neural Networks (共一), NeurIPS 2020 (CCF A; AI顶会)
Xuebin Zheng; Bingxin Zhou; Yu Guang Wang; Xiaosheng Zhuang; Decimated Framelet System on Graphs and Fast G-Framelet Transforms (通讯作者), Journal of Machine Learning Research (CCF A; 机器学习顶刊), 2022.春季, 23(1): 1-68 (期刊论文)
Shao-Bo Lin; Yu Guang Wang; Ding-Xuan Zhou; Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere (通讯作者), SIAM Journal on Numerical Analysis (中科院一区), 2021, 59(2): 634-659 (期刊论文)
Yu Guang Wang; Xiaosheng Zhuang; Tight framelets and fast framelet filter bank transforms on manifolds, Applied and Computational Harmonic Analysis (中科院一区), 2020.春季, 48(1): 64-95 (期刊论文)
Yu Guang Wang; Quoc T. Le Gia; Ian H. Sloan; Robert S. Womersley; Fully Discrete Needlet Approximation on the Sphere., Applied and Computational Harmonic Analysis (中科院一区), 2017, 43( 2): 292-316 (期刊论文)
Guido Montufar; Yu Guang Wang; Distributed learning via filtered hyperinterpolation on m anifolds (通讯作者), Foundations of Computational Mathematics (中科院一区), 2021, 1(1) (期刊论文)
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