Zhenyu Song
Taizhou University, University of Toyama
Research areas: Computer Science · Artificial Intelligence · Metaheuristic Optimization Algorithms Research · Neural Networks and Applications · Advanced Neural Network Applications
0000-0002-6163-0503
About
Zhenyu Song, PhD, Associate Professor.
School of Artificial Intelligence, Taizhou University, Taizhou, 225300, China.
E-mail: [email protected] {OR} [email protected].
Zhenyu Song received his B.S. degree in Nanjing University of Information Science & Technology, Nanjing, China in 2009, and an M.S. degree and a D.E. degree from University of Toyama, Toyama, Japan, in 2013 and 2017, respectively. He joined Taizhou University, Taizhou, China, where he is currently an associate professor in the School of Artificial Intelligence in 2018. His main research interests are evolutionary algorithms, artificial neural networks and multi-objective optimization problems.
Employment
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Taizhou University Associate Professor2018 - Present
Education
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University of Toyama Ph.D2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (41)
- A group-selling auction for deadline-constrained computation collaborative offloading in multi-UAV edge networks Save
- Aggregate dynamic graph representation with attention-aware multiple instance learning for whole slide image analysis Save
- A dendritic neuron-inspired nonlinear regression framework for flash point modeling across diverse liquid mixture systems Save
- QSPR flash point prediction of binary miscible mixtures: Integrated descriptors and DE-optimized SVR Save
- Fairness-Aware Opinion Seeding in Undirected Signed Friedkin–Johnsen Networks Save
- A Multi-Head Attention-Enhanced Fusion Model for Cross-Domain Short-Term Time Series Forecasting Save
- Electrocardiogram Time Series Prediction Using a Fully Convolutional LSTM Network Save
- DINOv2-UNet: Deployment-Friendly Colonoscopy Polyp Segmentation with Self-Supervised ViT Priors Save
- Short-term traffic flow prediction with a dendritic neural network-enhanced time series decomposition framework Save
- Evaluating a novel incremental-input neural network for multivariate air temperature forecasting Save
- EDESC-IDS: An Efficient Deep Embedded Subspace Clustering-Based Intrusion Detection System for the Internet of Vehicles Save
- A temporally coded multilayer spiking neural network and its memristor-based hardware implementation Save
- Financial Time Series Prediction Using a BiLSTM-Transformer Fusion Model Save
- A Node-Degree Power-Law Distribution-Based Honey Badger Algorithm for Global and Engineering Optimization Save
- BoostSF-SHAP: Gradient boosting-based software for protein–ligand binding affinity prediction with explanations Save
- Neuro-VAE-Symbolic Dynamic Traffic Management Save
- A practical object detection-based multiscale attention strategy for person reidentification Save
- Real-Time Identification of Strawberry Pests and Diseases Using an Improved YOLOv8 Algorithm Save
- Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein–ligand docking Save
- An Improved Weighted Cross-Entropy-Based Convolutional Neural Network for Auxiliary Diagnosis of Pneumonia Save