Yusen Zhu

According to our database, Yusen Zhu authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GLNET: global-local CNN's-based informed model for detection of breast cancer categories from histopathological slides.

Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, Xuehan Chen, Yusen Zhu

J. Supercomput., April, 2024

LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu

Multim. Tools Appl., 2024

ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring.

Sohaib Asif, Xinyi Xu, Ming Zhao, Xuehan Chen, Fengxiao Tang, Yusen Zhu

Appl. Intell., 2024

2023

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao

Neural Networks, October, 2023

Adaptive Caching Scheme for Jointly Optimizing Delay and Energy Consumption in Heterogeneous Digital Twin IoT.

Jingjing Tan, Fengxiao Tang, Ming Zhao, Yusen Zhu

IEEE Trans. Netw. Sci. Eng., 2023

H-BILSTM: A Novel Bidirectional Long Short Term Memory Network Based Intelligent Early Warning Scheme in Mobile Edge Computing (MEC).

Zhibo Li, Yurong Qian, Fengxiao Tang, Ming Zhao, Yusen Zhu

IEEE Trans. Emerg. Top. Comput., 2023

ADOps: An Anomaly Detection Pipeline in Structured Logs.

Xintong Song, Yusen Zhu, Jianfei Wu, Bai Liu, Hongkang Wei

Proc. VLDB Endow., 2023

An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu

Multim. Tools Appl., 2023

Multi-Task Model Based on Vision Task Level for Saliency Object Detection in Foggy Conditions.

Yusen Zhu, Gang Zhou, Jingxu Ren, Jiakun Tian, Zhenhong Jia

Proceedings of the IEEE International Conference on Image Processing, 2023

Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data.

Jingxu Ren, Gang Zhou, Yusen Zhu, Yangxin Liu, Juan Chen, Zhenhong Jia

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA.

Ming Zhao, Jiahua Li, Fengxiao Tang, Sohaib Asif, Yusen Zhu

IEEE Trans. Netw. Sci. Eng., 2022

A deep learning-based framework for detecting COVID-19 patients using chest X-rays.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu

Multim. Syst., 2022

An improved communication resource allocation strategy for wireless networks based on deep reinforcement learning.

Ting Xu, Ming Zhao, Xin Yao, Yusen Zhu

Comput. Commun., 2022

Feature Fusion Super Resolution Network with Gradient Guidance.

Yeguang Qin, Palidan Tuerxun, Fengxiao Tang, Yurong Qian, Ming Zhao, Yusen Zhu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

AFFSRN: Attention-Based Feature Fusion Super-Resolution Network.

Yeguang Qin, Fengxiao Tang, Ming Zhao, Yusen Zhu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC).

Ming Zhao, Yixiang Li, Sohaib Asif, Yusen Zhu, Fengxiao Tang

Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022

EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition.

Zaijing Li, Fengxiao Tang, Ming Zhao, Yusen Zhu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

SEOVER: Sentence-Level Emotion Orientation Vector Based Conversation Emotion Recognition Model.

Zaijing Li, Fengxiao Tang, Tieyu Sun, Yusen Zhu, Ming Zhao

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Joint Offloading and Resource Allocation of UAV-assisted Mobile Edge Computing with Delay Constraints.

Tiao Tan, Ming Zhao, Yusen Zhu, Zhiwen Zeng

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems Workshops, 2021