Yu Guang Wang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Graph Representation

Message Passing

Top Venues

J. Cheminformatics

Publications

Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. CoRR (2024)
Hao Chen, Yu Guang Wang, Huan Xiong
Corrigendum to "Lower and upper bounds for numbers of linear regions of graph convolutional networks" [Neural Networks Volume 168, November 2023, Pages 394-404]. Neural Networks 171 (2024)
Keke Huang, Yu Guang Wang, Ming Li, Pietro Liò
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. CoRR (2024)
Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR (2024)
Paulina Kulyte, Francisco Vargas, Simon Valentin Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Liò
Improving Antibody Design with Force-Guided Sampling in Diffusion Models. CoRR (2024)
Bingxin Zhou, Outongyi Lv, Kai Yi, Xinye Xiong, Pan Tan, Liang Hong, Yu Guang Wang
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. CoRR (2023)
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. CoRR (2023)
Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan, Liang Hong
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. CoRR (2023)
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. CVPR (2023)
Xinliang Liu, Bingxin Zhou, Chutian Zhang, Yu Guang Wang
Framelet Message Passing. CoRR (2023)
Yang Tan, Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Liang Hong
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction. CoRR (2023)
Outongyi Lv, Bingxin Zhou, Yu Guang Wang
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. CoRR (2023)
Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks. ICLR (2023)
Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
Graph Denoising Diffusion for Inverse Protein Folding. CoRR (2023)
Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan, Liang Hong
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. J. Cheminformatics 15 (1) (2023)
Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yu Guang Wang
Well-Conditioned Spectral Transforms for Dynamic Graph Representation. LoG (2022)