Jiangyuan Wang

According to our database, Jiangyuan Wang authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Neural Connected Kernel based Multiple Kernel Clustering.

Jiangyuan Wang, Qiong Liu, Mingjie Cai, Weiping Ding

Inf. Fusion, 2026

2025

TransSSVs: a Transformer-based deep learning model for accurate detection of somatic small variants in paired tumor and normal sequencing data.

Jing Meng, Jiangyuan Wang, Jingze Liu, Wenkai Song, Ming Li, Aiping Wu, Taijiao Jiang

Appl. Intell., August, 2025

EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land.

Xianju Li, Pan Kong, Weitao Chen, Wenxi He, Jian Feng, Jiangyuan Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Anchor graph based connectivity peaks clustering.

Mingjie Cai, Jiangyuan Wang, Feng Xu, Qiong Liu, Hamido Fujita

Knowl. Based Syst., 2025

PREDAC-FluB: predicting antigenic clusters of seasonal influenza B viruses with protein language model embedding based convolutional neural network.

Wenping Xie, Jingze Liu, Chuan Wang, Jiangyuan Wang, Wenjie Han, Yousong Peng, Xiangjun Du, Jing Meng, Kang Ning, Taijiao Jiang

Briefings Bioinform., 2025

2024

PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network.

Jing Meng, Jingze Liu, Wenkai Song, Honglei Li, Jiangyuan Wang, Le Zhang, Yousong Peng, Aiping Wu, Taijiao Jiang

Briefings Bioinform., January, 2024

A Brief Survey on Randomizer Design and Optimization for Efficient Stochastic Computing.

Kuncai Zhong, Jiangyuan Wang, Lu Chen, Peng Wang, Zixuan You, Yuan Zhang, Jiliang Zhang

Proceedings of the IEEE International Test Conference in Asia, 2024

2023

Integrating GRACE/GRACE Follow-On and Wells Data to Detect Groundwater Storage Recovery at a Small-Scale in Beijing Using Deep Learning.

Ying Hu, Nengfang Chao, Yong Yang, Jiangyuan Wang, Wenjie Yin, Jingkai Xie, Guangyao Duan, Menglin Zhang, Xuewen Wan, Fupeng Li, Zhengtao Wang, Guichong Ouyang

Remote. Sens., December, 2023

2021

PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis.

Yifei Chen, Haoyu Ma, Jiangyuan Wang, Jianbao Wu, Xian Wu, Xiaohui Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021