outongyi Lv

202320246 4

Bingxin ZhouShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Kai YiPhD Student, UNSWVerified email at unsw.edu.au
Yu Guang WangShanghai Jiao Tong University, University of New South WalesVerified email at sjtu.edu.cn
pan TanShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Xinye XiongMaster, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Lirong ZhengMNI Postdoc Scholar, University of MichiganVerified email at umich.edu
Yang TanMaster Student, East China University of Science and TechnologyVerified email at mail.ecust.edu.cn

outongyi Lv

Verified email at sjtu.edu.cn - Homepage


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Protein engineering with lightweight graph denoising neural networks B Zhou, L Zheng, B Wu, Y Tan, O Lv, K Yi, G Fan, L Hong Journal of Chemical Information and Modeling, 2023	3	2023
Accurate and definite mutational effect prediction with lightweight equivariant graph neural networks B Zhou, O Lv, K Yi, X Xiong, P Tan, L Hong, YG Wang arXiv preprint arXiv:2304.08299, 2023	3	2023
Lightweight Equivariant Graph Representation Learning for Protein Engineering B Zhou, O Lv, K Yi, X Xiong, P Tan, L Hong, YG Wang NeurIPS workshop on Machine Learning in Structural Biology, 2022	3	2022
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks O Lv, B Zhou, J Wang, X Xiao, W Zhao, L Zheng arXiv preprint arXiv:2310.01272, 2023	1	2023
Modeling Bellman Error with Logistic Distribution with Applications in Reinforcement Learning O Lv, B Zhou, LF Yang Available at SSRN 4733708, 2024		2024
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning O Lv, B Zhou arXiv preprint arXiv:2307.02345, 2023		2023

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