Qijin Yin

According to our database, Qijin Yin authored at least 9 papers between 2018 and 2026.

Collaborative distances:

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

2026

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling.

Qirong Yang, Yucheng Guo, Zicheng Liu, Yujie Yang, Qijin Yin, Siyuan Li, Shaomin Ji, Linlin Chao, Xiaoming Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling.

Qirong Yang, Yucheng Guo, Zicheng Liu, Yujie Yang, Qijin Yin, Siyuan Li, Shaomin Ji, Linlin Chao, Xiaoming Zhang, Stan Z. Li

CoRR, July, 2025

2023

DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction.

Qijin Yin, Rui Fan, Xusheng Cao, Qiao Liu, Rui Jiang, Wanwen Zeng

Quant. Biol., September, 2023

HiChIPdb: a comprehensive database of HiChIP regulatory interactions.

Wanwen Zeng, Qiao Liu, Qijin Yin, Rui Jiang, Wing Hung Wong

Nucleic Acids Res., January, 2023

2022

REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction.

Yaowen Gu, Si Zheng, Qijin Yin, Rui Jiang, Jiao Li

Comput. Biol. Medicine, 2022

scGraph: a graph neural network-based approach to automatically identify cell types.

Qijin Yin, Qiao Liu, Zhuoran Fu, Wanwen Zeng, Boheng Zhang, Xuegong Zhang, Rui Jiang, Hairong Lv

Bioinform., 2022

An efficient curriculum learning-based strategy for molecular graph learning.

Yaowen Gu, Si Zheng, Zidu Xu, Qijin Yin, Liang Li, Jiao Li

Briefings Bioinform., 2022

2019

DeepHistone: a deep learning approach to predicting histone modifications.

Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv, Rui Jiang

BMC Genom., 2019

2018

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang

Bioinform., 2018