Yuguang Wang

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 15

Top Topics

Protein Folding

Graph Representation

Top Venues

J. Approx. Theory

Publications

Yuguang Wang, Robert S. Womersley, Hau-Tieng Wu, Wei-Hsuan Yu
Numerical computation of triangular complex spherical designs with small mesh ratio. J. Comput. Appl. Math. 421 (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS (2023)
Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Robust Graph Representation Learning for Local Corruption Recovery. WWW (2023)
Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR (2023)
Xinye Xiong, Bingxin Zhou, Yuguang Wang
Graph Representation Learning for Interactive Biomolecule Systems. CoRR (2023)
Pradeep Kr. Banerjee, Kedar Karhadkar, Yuguang Wang, Uri Alon, Guido Montúfar
Oversquashing in GNNs through the lens of information contraction and graph expansion. Allerton (2022)
Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido F. Montúfar, Michael M. Bronstein
Weisfeiler and Lehman Go Cellular: CW Networks. NeurIPS (2021)
Shaobo Lin, Yuguang Wang, Ding-Xuan Zhou
Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere. SIAM J. Numer. Anal. 59 (2) (2021)
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
How Framelets Enhance Graph Neural Networks. ICML (2021)
Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML (2021)
Guido Montúfar, Nina Otter, Yuguang Wang
Can neural networks learn persistent homology features? CoRR (2020)
Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yuguang Wang
CosmoVAE: Variational Autoencoder for CMB Image Inpainting. CoRR (2020)
Johann S. Brauchart, Alexander B. Reznikov, Edward B. Saff, Ian H. Sloan, Yuguang Wang, Robert S. Womersley
Random Point Sets on the Sphere - Hole Radii, Covering, and Separation. Exp. Math. 27 (1) (2018)
Quoc Thong Le Gia, Ian H. Sloan, Yuguang Wang, Robert S. Womersley
Needlet approximation for isotropic random fields on the sphere. J. Approx. Theory 216 (2017)
Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang
An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. 328 (2016)
Yuguang Wang, Feilong Cao, Yubo Yuan
A study on effectiveness of extreme learning machine. CoRR (2014)
Zhixiang Chen, Hou-Ying Zhu, Yuguang Wang
A modified extreme learning machine with sigmoidal activation functions. Neural Comput. Appl. 22 (3-4) (2013)
Yubo Yuan, Yuguang Wang, Feilong Cao
Optimization approximation solution for regression problem based on extreme learning machine. Neurocomputing 74 (16) (2011)
Yuguang Wang, Feilong Cao, Yubo Yuan
A study on effectiveness of extreme learning machine. Neurocomputing 74 (16) (2011)