Hewei Wang

Orcid: 0000-0002-6952-0886

According to our database1, Hewei Wang authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
MFCSNet: A Musician-Follower Complex Social Network for Measuring Musical Influence.
Entertain. Comput., January, 2024

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.
CoRR, 2024

UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation.
Proceedings of the IGARSS 2024, 2024

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
DAANet: Dual Attention Aggregating Network for Salient Object Detection.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022
AMDCNet: An attentional multi-directional convolutional network for stereo matching.
Displays, 2022

DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs.
CoRR, 2022

A predictive analytics approach for stroke prediction using machine learning and neural networks.
CoRR, 2022

SYGNet: A SVD-YOLO based GhostNet for Real-time Driving Scene Parsing.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia.
Frontiers Neurorobotics, 2021

Stereo Matching Based on Visual Sensitive Information.
CoRR, 2021

Motor Imagery Training Reduces Contralesional Compensation in Stroke Patients with Moderate to Severe Upper Limb Impairment.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021


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