Zhihan Wang

According to our database1, Zhihan Wang authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
DeepSIM: a novel deep learning method for graph similarity computation.
Soft Comput., January, 2024

2023
DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network.
BMC Bioinform., December, 2023

HCS-R-HER: Hierarchical reinforcement learning based on cross subtasks rainbow hindsight experience replay.
J. Comput. Sci., September, 2023

Attention UNet3+: a full-scale connected attention-aware UNet for CT image segmentation of liver.
J. Electronic Imaging, 2023

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction.
Proceedings of the Myopic Maculopathy Analysis, 2023

Model-based exploration strategy to accelerate deterministic strategy algorithm training.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Communication-Efficient Personalized Federated Learning for Digital Twin in Heterogeneous Industrial IoT.
Proceedings of the IEEE International Conference on Communications, 2023

Robot Path Verification Method for Automotive Glue-Coating Based on Augmented Reality and Digital Twin.
Proceedings of the Human-Computer Interaction, 2023

2022
DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites.
BMC Bioinform., 2022

CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition.
Proceedings of the Interspeech 2022, 2022

2020
Design of Railway Accident Analysis System Based on Artificial Intelligence.
Proceedings of the 3rd International Conference on Smart BlockChain, 2020

A Semantic Convolutional Auto-Encoder Model for Software Defect Prediction.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020


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