Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. - Bingxin Zhou; Outongyi Lv; Kai Yi; Xinye Xiong; Pan Tan; Liang Hong; Yu Guang Wang 001 (CoRR, 2023)

LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. - Outongyi Lv; Bingxin Zhou; Yu Guang Wang 001 (CoRR, 2023)

A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks. - Outongyi Lv; Bingxin Zhou; Jing Wang; Xiang Xiao; Weishu Zhao; Lirong Zheng 005 (CoRR, 2023)

ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. - Yiqing Shen 003; Outongyi Lv; Houying Zhu; Yu Guang Wang 001 (AIME (1), 2024)

Protein Engineering with Lightweight Graph Denoising Neural Networks. - Bingxin Zhou; Lirong Zheng 005; Banghao Wu; Yang Tan 001; Outongyi Lv; Kai Yi; Guisheng Fan; Liang Hong (J. Chem. Inf. Model., 2024)

Modeling Bellman-error with logistic distribution with applications in reinforcement learning. - Outongyi Lv; Bingxin Zhou; Lin F. Yang (Neural Networks, 2024)

ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs. - Bingxin Zhou; Outongyi Lv; Jing Wang; Xiang Xiao; Weishu Zhao (Trans. Mach. Learn. Res., 2025)