Yuguang Wang - RankMe

25 papers A* 6Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	LaGDif: Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble. BIBM Taoyu Wu, Yuguang Wang, Yiqing Shen
2023	J	`jnl`	Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang
2023	J	`jnl`	Framelet Message Passing. CoRR Xinliang Liu, Bingxin Zhou, Chutian Zhang, Yuguang Wang
2023	A*	`conf`	Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
2023	J	`jnl`	Graph Representation Learning for Interactive Biomolecule Systems. CoRR Xinye Xiong, Bingxin Zhou, Yuguang Wang
2023	J	`jnl`	Numerical computation of triangular complex spherical designs with small mesh ratio. J. Comput. Appl. Math. Yuguang Wang, Robert S. Womersley, Hau-Tieng Wu, Wei-Hsuan Yu
2023	A*	`conf`	Robust Graph Representation Learning for Local Corruption Recovery. WWW Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
2022	—	`conf`	Oversquashing in GNNs through the lens of information contraction and graph expansion. Allerton Pradeep Kr. Banerjee, Kedar Karhadkar, Yuguang Wang, Uri Alon, Guido Montúfar
2022	—	`conf`	Well-Conditioned Spectral Transforms for Dynamic Graph Representation. LoG Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
2021	J	`jnl`	Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere. SIAM J. Numer. Anal. Shaobo Lin, Yuguang Wang, Ding-Xuan Zhou
2021	A*	`conf`	How Framelets Enhance Graph Neural Networks. ICML Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
2021	J	`jnl`	Spectral Transform Forms Scalable Transformer. CoRR Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
2021	A*	`conf`	Weisfeiler and Lehman Go Cellular: CW Networks. NeurIPS Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido F. Montúfar, Michael M. Bronstein
2021	A*	`conf`	Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein
2020	J	`jnl`	Can neural networks learn persistent homology features? CoRR Guido Montúfar, Nina Otter, Yuguang Wang
2020	J	`jnl`	CosmoVAE: Variational Autoencoder for CMB Image Inpainting. CoRR Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yuguang Wang
2020	A*	`conf`	Haar Graph Pooling. ICML Yuguang Wang, Ming Li, Zheng Ma, Guido Montúfar, Xiaosheng Zhuang, Yanan Fan
2018	J	`jnl`	Random Point Sets on the Sphere - Hole Radii, Covering, and Separation. Exp. Math. Johann S. Brauchart, Alexander B. Reznikov, Edward B. Saff, Ian H. Sloan, Yuguang Wang, Robert S. Womersley
2017	J	`jnl`	Localized Tight Frames and Fast Framelet Transforms on the Simplex. CoRR Yuguang Wang, Hou-Ying Zhu
2017	J	`jnl`	Needlet approximation for isotropic random fields on the sphere. J. Approx. Theory Quoc Thong Le Gia, Ian H. Sloan, Yuguang Wang, Robert S. Womersley
2016	J	`jnl`	An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang
2014	J	`jnl`	A study on effectiveness of extreme learning machine. CoRR Yuguang Wang, Feilong Cao, Yubo Yuan
2013	J	`jnl`	A modified extreme learning machine with sigmoidal activation functions. Neural Comput. Appl. Zhixiang Chen, Hou-Ying Zhu, Yuguang Wang
2011	J	`jnl`	A study on effectiveness of extreme learning machine. Neurocomputing Yuguang Wang, Feilong Cao, Yubo Yuan
2011	J	`jnl`	Optimization approximation solution for regression problem based on extreme learning machine. Neurocomputing Yubo Yuan, Yuguang Wang, Feilong Cao