Jiajie Xing

According to our database, Jiajie Xing authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Contrastive Graph View Alignment for Drug-Target Affinity Prediction.

Yuan Zhang, Jiajie Xing, Juan Wang

Proceedings of the Database Systems for Advanced Applications, 2026

PiM-X: Pathway-Guided Mamba State-Space Fusion for Interpretable Drug Response Prediction.

Jiajie Xing, Yuan Zhang, Juan Wang

Proceedings of the Database Systems for Advanced Applications, 2026

2025

Identifying Disease-Gene Associations by Topological and Biological Feature-based Data Augmentation and Graph Neural Networks.

Yuan Zhang, Juan Wang, Jiajie Xing, Xiaomin Chen

IEEE J. Biomed. Health Informatics, August, 2025

Disease-Gene Association Prediction via Hybrid Negative Sampling and Contrastive Leaming-Driven Variational Graph Auto-Encoder.

Yuan Zhang, Jiajie Xing, Yuwei Sun, Juan Wang, Shangjun Yang, Yujiang Cheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

SAGA-DRP: A Gradient-Guided Alignment and Momentum Prototyping Framework for Stable Cross-Domain Drug Response Prediction.

Jiajie Xing, Yuan Zhang, Juan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

HyperCausal: A Multi-Task Causal Learning Framework for Cancer Drug Response Prediction.

Jiajie Xing, Yuan Zhang, Juan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

AFMCDR: An Adaptive Fusion Model to Predict Cancer Drug Responses Based on Hierarchical Feature Enhancement from Multi-Omics of Driver Mutations.

Weiliang Han, Zhensong Wang, Jiajie Xing, Yuan Zhang, Jiao Wang, Juan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MMSA-DTA: Multi-modal Synergistic Attention for Drug-Target Affinity Prediction.

Jiajie Xing, Yuan Zhang

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024

ESSDB-GCN: Enhanced Syntactic and Semantic Dual-Branch Graph Convolutional Network for Aspect Sentiment Triple Extraction.

Chao Yang, Jiajie Xing, Susu Wei, Xianguo Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

MDMD: A Computational Model for Predicting Drug-Related Microbes Based on the Aggregated Metapaths from a Heterogeneous Network.

Jiajie Xing, Yuan Zhang, Jiaxuan Wang, Juan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Predicting miRNA-disease association based on Hybrid Graph Autoencoder.

Jiaxuan Wang, Jiajie Xing, Juan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Disease-Drug Interaction Prediction Framework Based on Knowledge Graph and Graph Contrastive Learning for Recommendation System.

Zhongwei An, Jiajie Xing, Xianguo Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

STMC-GCN: A Span Tagging Multi-channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction.

Chao Yang, Jiajie Xing, Xianguo Zhang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023