Xun Wang
Orcid: 0000-0002-2741-433XAffiliations:
- China University of Petroleum (East China), School of Computer Science and Technology, Qingdao, China
- University of Tsukuba, Japan (former)
According to our database1,
Xun Wang
authored at least 49 papers
between 2008 and 2025.
Collaborative distances:
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Bibliography
2025
Inference and training acceleration of deep learning partial differential equation solver.
J. Supercomput., May, 2025
29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer.
IEEE Trans. Computers, May, 2025
scSwinTNet: A Cell Type Annotation Method for Large-Scale Single-Cell RNA-Seq Data Based on Shifted Window Attention.
IEEE J. Biomed. Health Informatics, April, 2025
CCF Trans. High Perform. Comput., April, 2025
GTE-PPIS: a protein-protein interaction site predictor based on graph transformer and equivariant graph neural network.
Briefings Bioinform., 2025
2024
Interface-aware molecular generative framework for protein-protein interaction modulators.
J. Cheminformatics, December, 2024
TBCA: Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism.
IEEE J. Biomed. Health Informatics, April, 2024
Exploring Efficient Partial Differential Equation Solution Using Speed Galerkin Transformer.
Proceedings of the International Conference for High Performance Computing, 2024
KGM4DTI: A Depression Knowledge Graph-Driven Multi-semantic Multi-view Computational Framework for Drug-Target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
DCUI-MGraphDTA: Enabling Efficient Inference of a Drug-Target Binding Affinity Prediction Model on DCUs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
IEEE Trans. Parallel Distributed Syst., October, 2023
Comput., October, 2023
QuantumTox: Utilizing quantum chemistry with ensemble learning for molecular toxicity prediction.
Comput. Biol. Medicine, May, 2023
TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2.
IEEE J. Biomed. Health Informatics, March, 2023
MulAxialGO: Multi-Modal Feature-Enhanced Deep Learning Model for Protein Function Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Automatic Repair Method for Null Pointer Dereferences Guided by Program Dependency Graph.
Symmetry, 2022
Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction.
Briefings Bioinform., 2022
AMDE: a novel attention-mechanism-based multidimensional feature encoder for drug-drug interaction prediction.
Briefings Bioinform., 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
J. Sensors, 2021
An improved YOLOv3 model for detecting location information of ovarian cancer from CT images.
Intell. Data Anal., 2021
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction.
CoRR, 2021
A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks.
Comput. Math. Methods Medicine, 2021
Repositioning Traditional Chinese Medicine to PI3K Pathway Proteins Based on Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
The binding affinity prediction of PI3K / Akt / mTOR signaling pathway proteins with drugs based on deep learning method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Symmetry, 2020
VGG16-T: A Novel Deep Convolutional Neural Network with Boosting to Identify Pathological Type of Lung Cancer in Early Stage by CT Images.
Int. J. Comput. Intell. Syst., 2020
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography.
CoRR, 2020
A Deep Model for Lung Cancer Type Identification by Densely Connected Convolutional Networks and Adaptive Boosting.
IEEE Access, 2020
2019
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images.
IEEE Access, 2019
Transmission Control of MPTCP Incast Based on Buffer Balance Factor Allocation in Data Center Networks.
IEEE Access, 2019
IEEE Access, 2019
Double Layers Self-Organized Spiking Neural P Systems With Anti-Spikes for Fingerprint Recognition.
IEEE Access, 2019
2018
Neural Comput. Appl., 2018
A computational approach for nuclear export signals identification using spiking neural P systems.
Neural Comput. Appl., 2018
LncRNA-disease association prediction based on neighborhood information aggregation in neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2016
NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties.
J. Bioinform. Comput. Biol., 2016
Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control.
Inf. Sci., 2016
A Hybrid "Fast-Slow" Convergent Framework for Genetic Algorithm Inspired by Membrane Computing.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
2015
Neural Process. Lett., 2015
2014
J. Comput. Biol., 2014
2013
J. Appl. Math., 2013
2010
2008
The design of reversible gate and reversible sequential circuit based on DNA computing.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008