Peiliang Zhang

According to our database, Peiliang Zhang authored at least 23 papers between 2021 and 2025.

Collaborative distances:

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

2025

TEn-CATS: Text-Enriched Audio-Visual Video Parsing with Multi-Scale Category-Aware Temporal Graph.

Yaru Chen, Faegheh Sardari, Peiliang Zhang, Ruohao Guo, Yang Xiang, Zhenbo Li, Wenwu Wang

CoRR, September, 2025

AGFF: Attention-Gated Feature Fusion for Multi-Pose Virtual Try-On.

Chenghu Du, Peiliang Zhang, Junyin Wang, Shengwu Xiong

IEEE Trans. Consumer Electron., February, 2025

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning.

Peiliang Zhang, Jingling Yuan, Qing Xie, Yongjun Zhu, Lin Li

CoRR, February, 2025

Active Knowledge Structuring for Large Language Models in Materials Science Text Mining.

Xin Zhang, Jingling Yuan, Peiliang Zhang, Jia Liu, Lin Li

Trans. Assoc. Comput. Linguistics, 2025

Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification.

Peiliang Zhang, Yaru Chen, Yunjiong Liu, Chao Che, Yongjun Zhu

Inf. Fusion, 2025

MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction.

Yunjiong Liu, Peiliang Zhang, Dongyang Li, Chao Che, Bo Jin

Expert Syst. Appl., 2025

A structure-aware routing based anomaly detection for industrial multi-sensor time series.

Qixuan Zhao, Jingling Yuan, Peiliang Zhang, Xin Zhang, Jianquan Liu, Lin Li

Eng. Appl. Artif. Intell., 2025

Core Inter-Category Contrastive Learning for Enhancing Robustness of Caries Classification.

Peiliang Zhang, Yaru Chen, Yunjiong Liu, Chao Che, Yongjun Zhu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

TeMTG: Text-Enhanced Multi-Hop Temporal Graph Modeling for Audio-Visual Video Parsing.

Yaru Chen, Peiliang Zhang, Fei Li, Faegheh Sardari, Ruohao Guo, Zhenbo Li, Wenwu Wang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning.

Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Audio-Visual Instance Segmentation.

Ruohao Guo, Xianghua Ying, Yaru Chen, Dantong Niu, Guangyao Li, Liao Qu, Yanyu Qi, Jinxing Zhou, Bowei Xing, Wenzhen Yue, Ji Shi, Qixun Wang, Peiliang Zhang, Buwen Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles.

Xin Zhang, Peiliang Zhang, Jingling Yuan, Lin Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Legal Judgment Prediction via graph boosting with constraints.

Suxin Tong, Jingling Yuan, Peiliang Zhang, Lin Li

Inf. Process. Manag., March, 2024

NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction.

Peiliang Zhang, Chao Che, Bo Jin, Jingling Yuan, Ruixin Li, Yongjun Zhu

Expert Syst. Appl., March, 2024

SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction.

Yunjiong Liu, Peiliang Zhang, Chao Che, Ziqi Wei

J. Chem. Inf. Model., 2024

JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning.

Peiliang Zhang, Yujia Tong, Chenghu Du, Chao Che, Yongjun Zhu

CoRR, 2024

Key Substructure Learning with Chemical Intuition for Material Property Prediction.

Peiliang Zhang, Jingling Yuan, Lin Li, Wen Luo, Jiwei Hu, Xin Li

Proceedings of the Database Systems for Advanced Applications, 2024

2023

B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism.

Siyu Yang, Peiliang Zhang, Chao Che, Zhaoqian Zhong

BMC Bioinform., December, 2023

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction.

Peiliang Zhang, Jiatao Chen, Chao Che, Liang Zhang, Bo Jin, Yongjun Zhu

Inf. Sci., July, 2023

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries.

Hao Jiang, Peiliang Zhang, Chao Che, Bo Jin, Yongjun Zhu

Eng. Appl. Artif. Intell., 2023

KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction.

Peiliang Zhang, Yuanjie Liu, Zhishu Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction.

Peiliang Zhang, Ziqi Wei, Chao Che, Bo Jin

Comput. Biol. Medicine, 2022

2021

Constrained transformer network for ECG signal processing and arrhythmia classification.

Chao Che, Peiliang Zhang, Min Zhu, Yue Qu, Bo Jin

BMC Medical Informatics Decis. Mak., 2021