Xiangyu Meng

According to our database, Xiangyu Meng authored at least 15 papers between 2021 and 2025.

Collaborative distances:

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

2025

Predicting Mutation-Disease Associations Through Protein Interactions Via Deep Learning.

Xue Li, Ben Cao, Jianmin Wang, Xiangyu Meng, Shuang Wang, Yu Huang, Enrico Petretto, Tao Song

IEEE J. Biomed. Health Informatics, June, 2025

Inference and training acceleration of deep learning partial differential equation solver.

Xun Wang, Xianxi Zhu, Xiangyu Meng, Zeyang Zhu, Siyu Zhang, Tao Song

J. Supercomput., May, 2025

29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer.

Xun Wang, Xiangyu Meng, Zhuoqiang Guo, Mingzhen Li, Lijun Liu, Mingfan Li, Qian Xiao, Tong Zhao, Ninghui Sun, Guangming Tan, Weile Jia

IEEE Trans. Computers, May, 2025

scSwinTNet: A Cell Type Annotation Method for Large-Scale Single-Cell RNA-Seq Data Based on Shifted Window Attention.

Huanhuan Dai, Xiangyu Meng, Zhiyi Pan, Qing Yang, Haonan Song, Yuan Gao, Xun Wang

IEEE J. Biomed. Health Informatics, April, 2025

An interpretable DeePMD-kit performance model for emerging supercomputers.

Xiangyu Meng, Xun Wang, Mingzhen Li, Guangming Tan, Weile Jia

CCF Trans. High Perform. Comput., April, 2025

2024

Exploring Efficient Partial Differential Equation Solution Using Speed Galerkin Transformer.

Xun Wang, Zeyang Zhu, Xiangyu Meng, Tao Song

Proceedings of the International Conference for High Performance Computing, 2024

Training one DeePMD Model in Minutes: a Step towards Online Learning.

Siyu Hu, Tong Zhao, Qiuchen Sha, Enji Li, Xiangyu Meng, Liping Liu, Lin-Wang Wang, Guangming Tan, Weile Jia

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

DCUI-MGraphDTA: Enabling Efficient Inference of a Drug-Target Binding Affinity Prediction Model on DCUs.

Tao Song, Siyu Zhang, Xiangyu Meng, Zeyang Zhu, Xianxi Zhu, Xun Wang

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

AEG-PPIS: A Dual-Branch Protein-protein Interaction Site Predictor Based on Augmented Graph Attention Network and Equivariant Graph Neural Network.

Huanhuan Dai, Haonan Song, Tongyu Han, Qing Yang, Xiangyu Meng, Xun Wang

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

2023

TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2.

Xun Wang, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Min Liu, Zixuan Wang, Xiangyu Meng

IEEE J. Biomed. Health Informatics, March, 2023

Gene-MOE: A Sparsely-gated Framework for Pan-Cancer Genomic Analysis.

Xiangyu Meng, Tao Song, Qing Yang, Huanhuan Dai, Lian Qiao, Hongzhen Ding, Long Hao, Xun Wang

CoRR, 2023

MulAxialGO: Multi-Modal Feature-Enhanced Deep Learning Model for Protein Function Prediction.

Xun Wang, Peng Qu, Xiangyu Meng, Qing Yang, Lian Qiao, Chaogang Zhang, Xianjin Xie

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

2022

Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction.

Xudong Zhang, Gan Wang, Xiangyu Meng, Shuang Wang, Ying Zhang, Alfonso Rodríguez-Patón, Jianmin Wang, Xun Wang

Briefings Bioinform., 2022

2021

Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction.

Xiangyu Meng, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Zixuan Wang, Xun Wang

CoRR, 2021

A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks.

Xiangyu Meng, Xin Li, Xun Wang

Comput. Math. Methods Medicine, 2021