Mingquan Liu

According to our database, Mingquan Liu authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling.

Weijie Zhao, Mingquan Liu, Bolun Wang, Simo Wu, Nuobei Xie, Rui-Jie Zhu, Peng Zhou

CoRR, April, 2026

Cluster consensus under hybrid event-triggered mechanism for saturated nonlinear multi-agent systems.

Mingquan Liu, Jun Huang, Liheng Luo

J. Frankl. Inst., 2026

2025

RAUM-Net: Regional Attention and Uncertainty-aware Mamba Network.

Mingquan Liu

CoRR, June, 2025

Molecular Dynamics-Powered Hierarchical Geometric Deep Learning Framework for Protein-Ligand Interaction.

Mingquan Liu, Shuting Jin, Houtim Lai, Longyue Wang, Jianmin Wang, Zhixiang Cheng, Xiangxiang Zeng

IEEE Trans. Comput. Biol. Bioinform., 2025

SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images.

Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Efficient Generation of Protein and Protein-Protein Complex Dynamics via SE(3)-Parameterized Diffusion Models.

Kai Xu, Jianmin Wang, Mingquan Liu, Kewei Zhou, Shaolong Lin, Weihong Li, Lin Shi, Peng Zhou, Huanxiang Liu, Xiaojun Yao

J. Chem. Inf. Model., 2025

Pretraining graph transformer for molecular representation with fusion of multimodal information.

Ruizhe Chen, Chunyan Li, Longyue Wang, Mingquan Liu, Shugao Chen, Jiahao Yang, Xiangxiang Zeng

Inf. Fusion, 2025

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.

Hongxin Xiang, Mingquan Liu, Linlin Hou, Shuting Jin, Jianmin Wang, Jun Xia, Wenjie Du, Sisi Yuan, Xiangzheng Fu, Xinyu Yang, Li Zeng, Lei Xu

Bioinform., 2025

EDBench: Large-Scale Electron Density Data for Molecular Modeling.

Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Geometric deep learning for drug discovery.

Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng

Expert Syst. Appl., 2024