A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks. - Xiangyu Meng 005; Xin Li; Xun Wang 010 (Comput. Math. Methods Medicine, 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 005; Xudong Zhang; Gan Wang; Ying Zhang; Xin Shi; Huanhuan Dai; Zixuan Wang; Xun Wang 010 (CoRR, 2021)

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 005; Shuang Wang; Ying Zhang; Alfonso Rodríguez-Patón; Jianmin Wang 016; Xun Wang 010 (Briefings Bioinform., 2022)

MulAxialGO: Multi-Modal Feature-Enhanced Deep Learning Model for Protein Function Prediction. - Xun Wang 010; Peng Qu; Xiangyu Meng 005; Qing Yang; Lian Qiao; Chaogang Zhang; Xianjin Xie (BIBM, 2023)

Gene-MOE: A Sparsely-gated Framework for Pan-Cancer Genomic Analysis. - Xiangyu Meng 005; Tao Song 001; Qing Yang; Huanhuan Dai; Lian Qiao; Hongzhen Ding; Long Hao; Xun Wang 010 (CoRR, 2023)

TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2. - Xun Wang 010; Xudong Zhang; Gan Wang; Ying Zhang; Xin Shi; Huanhuan Dai; Min Liu; Zixuan Wang; Xiangyu Meng 005 (IEEE J. Biomed. Health Informatics, 2023)

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 005; Xun Wang 010 (BIBM, 2024)

DCUI-MGraphDTA: Enabling Efficient Inference of a Drug-Target Binding Affinity Prediction Model on DCUs. - Tao Song 001; Siyu Zhang; Xiangyu Meng 005; Zeyang Zhu; Xianxi Zhu; Xun Wang 010 (BIBM, 2024)

Training one DeePMD Model in Minutes: a Step towards Online Learning. - Siyu Hu; Tong Zhao; Qiuchen Sha; Enji Li; Xiangyu Meng 005; Liping Liu; Lin-Wang Wang; Guangming Tan; Weile Jia (PPoPP, 2024)

Exploring Efficient Partial Differential Equation Solution Using Speed Galerkin Transformer. - Xun Wang 010; Zeyang Zhu; Xiangyu Meng 005; Tao Song 001 (SC, 2024)

An interpretable DeePMD-kit performance model for emerging supercomputers. - Xiangyu Meng 005; Xun Wang 010; Mingzhen Li 001; Guangming Tan; Weile Jia (CCF Trans. High Perform. Comput., 2025)

scSwinTNet: A Cell Type Annotation Method for Large-Scale Single-Cell RNA-Seq Data Based on Shifted Window Attention. - Huanhuan Dai; Xiangyu Meng 005; Zhiyi Pan 003; Qing Yang; Haonan Song; Yuan Gao; Xun Wang 010 (IEEE J. Biomed. Health Informatics, 2025)

29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer. - Xun Wang 010; Xiangyu Meng 005; Zhuoqiang Guo; Mingzhen Li 001; Lijun Liu; Mingfan Li; Qian Xiao; Tong Zhao; Ninghui Sun; Guangming Tan; Weile Jia (IEEE Trans. Computers, 2025)

Inference and training acceleration of deep learning partial differential equation solver. - Xun Wang 010; Xianxi Zhu; Xiangyu Meng 005; Zeyang Zhu; Siyu Zhang; Tao Song 001 (J. Supercomput., 2025)

Predicting Mutation-Disease Associations Through Protein Interactions Via Deep Learning. - Xue Li 019; Ben Cao; Jianmin Wang 016; Xiangyu Meng 005; Shuang Wang; Yu Huang 004; Enrico Petretto; Tao Song 001 (IEEE J. Biomed. Health Informatics, 2025)