Tao Song

Orcid: 0000-0002-0130-3340

Affiliations:
  • China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
  • Polytechnical University of Madrid, Department of Artificial Intelligence, Faculty of Computer Science, Spain
  • Huazhong University of Science and Technology, Wuhan, China (PhD 2013)


According to our database1, Tao Song authored at least 72 papers between 2008 and 2024.

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Timeline

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Bibliography

2024
Interface-aware molecular generative framework for protein-protein interaction modulators.
J. Cheminformatics, December, 2024

MIPPIS: protein-protein interaction site prediction network with multi-information fusion.
BMC Bioinform., December, 2024

Convformer: A Model for Reconstructing Ocean Subsurface Temperature and Salinity Fields Based on Multi-Source Remote Sensing Observations.
Remote. Sens., July, 2024

Probabilistic Estimation of Tropical Cyclone Intensity Based on Multi-Source Satellite Remote Sensing Images.
Remote. Sens., February, 2024

FraHMT: A Fragment-Oriented Heterogeneous Graph Molecular Generation Model for Target Proteins.
J. Chem. Inf. Model., 2024

PED: a novel predictor-encoder-decoder model for Alzheimer drug molecular generation.
Frontiers Artif. Intell., 2024

Uncertainty forecasting system for tropical cyclone tracks based on conformal prediction.
Expert Syst. Appl., 2024

Exploring Efficient Partial Differential Equation Solution Using Speed Galerkin Transformer.
Proceedings of the International Conference for High Performance Computing, 2024

2023
EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea.
Appl. Intell., December, 2023

Identifying potential small molecule-miRNA associations via Robust PCA based on <i>γ</i>-norm regularization.
Briefings Bioinform., September, 2023

QuantumTox: Utilizing quantum chemistry with ensemble learning for molecular toxicity prediction.
Comput. Biol. Medicine, May, 2023

MARPPI: boosting prediction of protein-protein interactions with multi-scale architecture residual network.
Briefings Bioinform., January, 2023

Tropical Cyclone Intensity Probabilistic Forecasting System Based on Deep Learning.
Int. J. Intell. Syst., 2023

Gene-MOE: A Sparsely-gated Framework for Pan-Cancer Genomic Analysis.
CoRR, 2023

DeepDualEPI: Predicting Promoter-Enhancer Interactions Based on DNA Sequence and Genomic Signals.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Inversion of Ocean Subsurface Temperature and Salinity Fields Based on Spatio-Temporal Correlation.
Remote. Sens., 2022

Simulating Tropical Cyclone Passive Microwave Rainfall Imagery Using Infrared Imagery via Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2022

DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier.
Knowl. Based Syst., 2022

ATDNNS: An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting.
Future Gener. Comput. Syst., 2022

TCR-GAN: Predicting tropical cyclone passive microwave rainfall using infrared imagery via generative adversarial networks.
CoRR, 2022

Molecular substructure tree generative model for de novo drug design.
Briefings Bioinform., 2022

<i>De novo</i> molecular design with deep molecular generative models for PPI inhibitors.
Briefings Bioinform., 2022

AMDE: a novel attention-mechanism-based multidimensional feature encoder for drug-drug interaction prediction.
Briefings Bioinform., 2022

KG-DTI: a knowledge graph based deep learning method for drug-target interaction predictions and Alzheimer's disease drug repositions.
Appl. Intell., 2022

A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning.
Remote. Sens., 2021

An improved YOLOv3 model for detecting location information of ovarian cancer from CT images.
Intell. Data Anal., 2021

Neural-like P systems with plasmids.
Inf. Comput., 2021

Mesh2Measure: A Novel Body Dimensions Measurement Based on 3D Human Model.
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2021

Visual Prediction of Tropical Cyclones with Deep Convolutional Generative Adversarial Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Tropical Cyclone Size Estimation Using Deep Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Cyclone Identify using Two-Branch Convolutional Neural Network from Global Forecasting System Analysis.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Use Ensemble Learning to Estimate the Population and Assets Exposed to Tropical Cyclones.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

MMDA: Disease Analysis Model Based on Anthropometric Measurement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
On the Computational Power of Asynchronous Axon Membrane Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

A Deep Learning Method With Merged LSTM Neural Networks for SSHA Prediction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Discriminative Correlation Filter for Long-Time Tracking.
Comput. J., 2020

LDCNN-DTI: A Novel Light Deep Convolutional Neural Network for Drug-Target Interaction Predictions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Repositioning Molecules of Chinese Medicine to Targets of SARS-Cov-2 by Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Parallel Image Skeletonizing Method Using Spiking Neural P Systems with Weights.
Neural Process. Lett., 2019

A Real-Time Fire Detection Method from Video with Multifeature Fusion.
Comput. Intell. Neurosci., 2019

Server Consolidation Energy-Saving Algorithm Based on Resource Reservation and Resource Allocation Strategy.
IEEE Access, 2019

U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images.
IEEE Access, 2019

An Improved Convolutional Network Architecture Based on Residual Modeling for Person Re-Identification in Edge Computing.
IEEE Access, 2019

Double Layers Self-Organized Spiking Neural P Systems With Anti-Spikes for Fingerprint Recognition.
IEEE Access, 2019

2018
Spiking Neural P Systems With Colored Spikes.
IEEE Trans. Cogn. Dev. Syst., 2018

A Parallel Bioinspired Framework for Numerical Calculations Using Enzymatic P System With an Enzymatic Environment.
IEEE Access, 2018

LncRNA-disease association prediction based on neighborhood information aggregation in neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A time-free uniform solution to subset sum problem by tissue P systems with cell division.
Math. Struct. Comput. Sci., 2017

Theory and Application of Bio-inspired Intelligence and Methods.
J. Univers. Comput. Sci., 2017

Multi-Objective Evolutionary Algorithm Based on Decomposition for Energy-aware Scheduling in Heterogeneous Computing Systems.
J. Univers. Comput. Sci., 2017

2016
An Optimized Feedforward Decoupling PD Register Control Method of Roll-to-Roll Web Printing Systems.
IEEE Trans Autom. Sci. Eng., 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

Spiking neural P systems with request rules.
Neurocomputing, 2016

2015
Asynchronous Spiking Neural P Systems with Anti-Spikes.
Neural Process. Lett., 2015

Spiking neural P systems with structural plasticity.
Neural Comput. Appl., 2015

Time-free solution to SAT problem by P systems with active membranes and standard cell division rules.
Nat. Comput., 2015

Asynchronous spiking neural P systems with rules on synapses.
Neurocomputing, 2015

A P_Lingua Based Simulator for P Systems with Symport/Antiport Rules.
Fundam. Informaticae, 2015

Extending Simulation of Asynchronous Spiking Neural P Systems in P-Lingua.
Fundam. Informaticae, 2015

2014
Spiking neural P systems with rules on synapses.
Theor. Comput. Sci., 2014

Time-free solution to SAT problem using P systems with active membranes.
Theor. Comput. Sci., 2014

Spiking Neural P Systems with Thresholds.
Neural Comput., 2014

2013
Asynchronous spiking neural P systems with local synchronization.
Inf. Sci., 2013

Spiking neural P systems with anti-spikes and without annihilating priority working in a 'flip-flop' way.
Int. J. Comput. Sci. Math., 2013

Stock Price Forecast Using Tree Augmented Naïve (TAN) Bayes.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2011
Spiking Neural P Systems for Arithmetic Operations.
Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

P Systems with 2D Picture Grammars.
Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

2010
DNA Computing.
Int. J. Nanotechnol. Mol. Comput., 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


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