Yu Guang Wang - RankMe

64 papers A* 5B 2Journal 51Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multimodal deep learning framework for enzyme turnover prediction with missing modality. Comput. Biol. Medicine Xin Sun, Yu Guang Wang, Yiqing Shen
2025	J	`jnl`	A survey for large language models in biomedicine. Artif. Intell. Medicine Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen
2024	—	`conf`	A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. BIBM Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
2024	J	`jnl`	A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
2024	J	`jnl`	A Survey for Large Language Models in Biomedicine. CoRR Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen
2024	J	`jnl`	AB C MB : deep delensing assisted likelihood-free inference from CMB polarization maps. Mach. Learn. Sci. Technol. Kai Yi, Yanan Fan, Jan Hamann, Pietro Liò, Yu Guang Wang
2024	J	`jnl`	Graph Denoising With Framelet Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2024	J	`jnl`	Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
2024	A*	`conf`	How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. ICML Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio
2024	J	`jnl`	How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. CoRR Keke Huang, Yu Guang Wang, Ming Li, Pietro Liò
2024	J	`jnl`	Improving Antibody Design with Force-Guided Sampling in Diffusion Models. CoRR Paulina Kulyte, Francisco Vargas, Simon Valentin Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Liò
2024	J	`jnl`	Layer-diverse Negative Sampling for Graph Neural Networks. CoRR Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
2024	J	`jnl`	Layer-diverse Negative Sampling for Graph Neural Networks. Trans. Mach. Learn. Res. Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
2024	—	`conf`	ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. AIME (1) Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
2024	J	`jnl`	ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. CoRR Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
2024	—	`conf`	TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. BIBM Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang
2024	J	`jnl`	TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. CoRR Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang
2023	A*	`conf`	ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks. ICLR Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
2023	J	`jnl`	Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. CoRR Bingxin Zhou, Outongyi Lv, Kai Yi, Xinye Xiong, Pan Tan, Liang Hong, Yu Guang Wang
2023	—	`conf`	Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems. ICC Xiongwen Ke, Houying Zhu, Kai Yi, Gaoning He, Ganghua Yang, Yu Guang Wang
2023	J	`jnl`	Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee
2023	A*	`conf`	EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. CVPR Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
2023	J	`jnl`	EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. CoRR Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
2023	J	`jnl`	Graph Denoising Diffusion for Inverse Protein Folding. CoRR Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
2023	—	`conf`	How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. BIBM Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
2023	A*	`conf`	How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
2023	J	`jnl`	LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. CoRR Outongyi Lv, Bingxin Zhou, Yu Guang Wang
2023	J	`jnl`	Lower and upper bounds for numbers of linear regions of graph convolutional networks. Neural Networks Hao Chen, Yu Guang Wang, Huan Xiong
2023	J	`jnl`	MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowl. Based Syst. Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2023	J	`jnl`	Multi-level Protein Representation Learning for Blind Mutational Effect Prediction. CoRR Yang Tan, Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Liang Hong
2022	J	`jnl`	ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition. CoRR Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
2022	—	`conf`	APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. TAG-ML Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
2022	J	`jnl`	Approximate Equivariance SO(3) Needlet Convolution. CoRR Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
2022	J	`jnl`	Decimated Framelet System on Graphs and Fast G-Framelet Transforms. J. Mach. Learn. Res. Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang
2022	J	`jnl`	Distributed Learning via Filtered Hyperinterpolation on Manifolds. Found. Comput. Math. Guido Montúfar, Yu Guang Wang
2022	J	`jnl`	Embedding Graphs on Grassmann Manifold. CoRR Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022	J	`jnl`	Embedding graphs on Grassmann manifold. Neural Networks Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022	J	`jnl`	Graph Neural Network for Local Corruption Recovery. CoRR Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
2022	J	`jnl`	How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. CoRR Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
2022	J	`jnl`	Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks. CoRR Hao Chen, Yu Guang Wang, Huan Xiong
2022	J	`jnl`	Oversquashing in GNNs through the lens of information contraction and graph expansion. CoRR Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, Guido Montúfar
2021	J	`jnl`	Algorithm 1018: FaVeST - Fast Vector Spherical Harmonic Transforms. ACM Trans. Math. Softw. Quoc Thong Le Gia, Ming Li, Yu Guang Wang
2021	J	`jnl`	Anomaly Detection in Dynamic Graphs via Transformer. CoRR Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee
2021	J	`jnl`	Graph Denoising with Framelet Regularizer. CoRR Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2021	J	`jnl`	How Framelets Enhance Graph Neural Networks. CoRR Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar
2021	J	`jnl`	Weisfeiler and Lehman Go Cellular: CW Networks. CoRR Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael M. Bronstein
2021	J	`jnl`	Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. CoRR Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Montúfar, Pietro Liò, Michael M. Bronstein
2020	B	`conf`	Cosmo VAE: Variational Autoencoder for CMB Image Inpainting. IJCNN Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang
2020	J	`jnl`	Decimated Framelet System on Graphs and Fast G-Framelet Transforms. CoRR Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang
2020	B	`conf`	Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. IJCNN Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
2020	J	`jnl`	Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. CoRR Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
2020	J	`jnl`	Distributed Learning via Filtered Hyperinterpolation on Manifolds. CoRR Guido Montúfar, Yu Guang Wang
2020	J	`jnl`	Fast Haar Transforms for Graph Neural Networks. Neural Networks Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang
2020	J	`jnl`	Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. CoRR Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2020	J	`jnl`	On the Approximation Lower Bound for Neural Nets with Random Weights. CoRR Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang
2020	A*	`conf`	Path Integral Based Convolution and Pooling for Graph Neural Networks. NeurIPS Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò
2020	J	`jnl`	Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió
2019	J	`jnl`	Distributed filtered hyperinterpolation for noisy data on the sphere. CoRR Shao-Bo Lin, Yu Guang Wang, Ding-Xuan Zhou
2019	J	`jnl`	FaVeST: Fast Vector Spherical Harmonic Transforms. CoRR Quoc Thong Le Gia, Ming Li, Yu Guang Wang
2019	J	`jnl`	Fast Haar Transforms for Graph Neural Networks. CoRR Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang
2019	J	`jnl`	Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere. CoRR Ming Li, Philip Broadbridge, Andriy Olenko, Yu Guang Wang
2019	J	`jnl`	HaarPooling: Graph Pooling with Compressive Haar Basis. CoRR Yu Guang Wang, Ming Li, Zheng Ma, Guido Montúfar, Xiaosheng Zhuang, Yanan Fan
2019	J	`jnl`	Optimization-based quasi-uniform spherical t-design and generalized multitaper for complex physiological time series. CoRR Matt Sourisseau, Yu Guang Wang, Hau-Tieng Wu, Wei-Hsuan Yu
2019	J	`jnl`	PAN: Path Integral Based Convolution for Deep Graph Neural Networks. CoRR Zheng Ma, Ming Li, Yu Guang Wang