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2020 – today
- 2024
[j2]Bingxin Zhou, Lirong Zheng
, Banghao Wu, Yang Tan, Outongyi Lv, Kai Yi, Guisheng Fan, Liang Hong:
Protein Engineering with Lightweight Graph Denoising Neural Networks. J. Chem. Inf. Model. 64(9): 3650-3661 (2024)- [j1]Outongyi Lv, Bingxin Zhou, Lin F. Yang:
Modeling Bellman-error with logistic distribution with applications in reinforcement learning. Neural Networks 177: 106387 (2024) - [c1]Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang:
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. AIME (1) 2024: 373-383 - [i4]Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang:
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. CoRR abs/2405.06658 (2024) - 2023
- [i3]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 abs/2304.08299 (2023) - [i2]Outongyi Lv, Bingxin Zhou, Yu Guang Wang:
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. CoRR abs/2307.02345 (2023) - [i1]Outongyi Lv, Bingxin Zhou, Jing Wang, Xiang Xiao, Weishu Zhao, Lirong Zheng:
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks. CoRR abs/2310.01272 (2023)
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