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 |