Yelu Jiang

According to our database, Yelu Jiang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation.

Yexuan Mao, Lijun Quan, Xiangyu Chen, Siyuan Wang, Guozheng Zhang, Siqi Li, Yelu Jiang, Liangpeng Nie, Tingfang Wu, Lingkun Meng, Qiang Lyu

Briefings Bioinform., 2026

2025

DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation.

Qiufeng Chen, Lijun Quan, Lexin Cao, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu

Briefings Bioinform., March, 2025

MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning.

Zhenglong Zhou, Tingfang Wu, Yelu Jiang, Geng Li, Liangpeng Nie, Jia Xu, Yi Zhang, Yiwei Chen, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction.

Yi Zhang, Tingfang Wu, Liangpeng Nie, Yelu Jiang, Geng Li, Jia Xu, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.

Bei Zhang, Lijun Quan, Zhijun Zhang, Lexin Cao, Qiufeng Chen, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., 2025

MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.

Jia Xu, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction.

Junkai Wang, Jian Wu, Zhijun Zhang, Yelu Jiang, Liangchen Peng, Bei Zhang, Qiufeng Chen, Lexin Cao, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations.

Yiwei Chen, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Jia Xu, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

A lightweight visualization tool for protein unfolding by collision detection and elimination.

Hua Qian, Yu Chen, Yelu Jiang

Frontiers Comput. Sci., 2025

2024

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.

Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu

Bioinform., January, 2024

2023

Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks.

Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., April, 2023

ctP²ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation.

Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.

Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.

Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan

CoRR, 2022

Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.

Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu

Bioinform., 2022