Yinjun Jia

According to our database, Yinjun Jia authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design.

Ziyi Yang, Zitong Tian, Yinjun Jia, Tianyi Zhang, Jiqing Zheng, Hao Wang, Yubu Su, Juncai He, Lei Liu, Yanyan Lan

CoRR, February, 2026

2025

Coder as Editor: Code-driven Interpretable Molecular Optimization.

Wenyu Zhu, Chengzhu Li, Xiaohe Tian, Yifan Wang, Yinjun Jia, Jianhui Wang, Bowen Gao, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan

CoRR, October, 2025

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation.

Wenyu Zhu, Jianhui Wang, Bowen Gao, Yinjun Jia, Haichuan Tan, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan

CoRR, June, 2025

Manipulating 3D Molecules in a Fixed-Dimensional SE(3)-Equivariant Latent Space.

Zitao Chen, Yinjun Jia, Zitong Tian, Wei-Ying Ma, Yanyan Lan

CoRR, June, 2025

Redefining the task of Bioactivity Prediction.

Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generalizable and Robust Phenotypic Drug Discovery.

Xin Hong, Jiaxin Zheng, Xingsi Xie, Yinjun Jia, Yuyan Ni, Yanyan Lan

Proceedings of the Information Retrieval - 31st China Conference, 2025

2024

MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis.

Shikun Feng, Jiaxin Zheng, Yinjun Jia, Yanwen Huang, Fengfeng Zhou, Wei-Ying Ma, Yanyan Lan

CoRR, 2024

SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction.

Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

CoRR, 2024

Multi-level Interaction Modeling for Protein Mutational Effect Prediction.

Yuanle Mo, Xin Hong, Bowen Gao, Yinjun Jia, Yanyan Lan

CoRR, 2024

Multi-UAV Reconnaissance Task Allocation in 3D Urban Environments.

Xiangrui Tian, Tong Xu, Xin Luo, Yinjun Jia, Jie Yin

IEEE Access, 2024

Full-Atom Peptide Design with Geometric Latent Diffusion.

Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment.

Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Protein-ligand binding representation learning from fine-grained interactions.

Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening.

Bowen Gao, Bo Qiang, Haichuan Tan, Minsi Ren, Yinjun Jia, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan

CoRR, 2023

DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening.

Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Small Target Recognition and Tracking Based on UAV Platform.

Xiangrui Tian, Yinjun Jia, Xin Luo, Jie Yin

Sensors, 2022