Yuee Zhou

According to our database, Yuee Zhou authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Near Optimal Locality-Aware Task Allocation Toward Stable Blockchain-Based MEC System: A Potential Game Approach.

Lianbo Ma, Yuee Zhou, Liang Wang, Xingwei Wang, Carla-Fabiana Chiasserini, Guangjie Han

IEEE Trans. Mob. Comput., May, 2026

A Stable Locality-Aware Task Scheduling Mechanism for Mobile Edge Computing With Workflow Task Offloading.

Yuee Zhou, Lianbo Ma, Ying Qian, Min Huang, Fei Hao, Xingwei Wang

IEEE Trans. Serv. Comput., 2026

Toward Energy-Efficient Collaborative Inference and Fine-Tuning: Matching Model Compression and Offloading With Resource Availability.

Yuee Zhou, Lianbo Ma, Xingwei Wang, Qing Li, Carla-Fabiana Chiasserini, Guangjie Han

IEEE Trans. Netw., 2026

2025

ResViT-GANNet: a deep learning framework for classifying breast cancer histopathology images using multimodal attention and GAN-based augmentation.

Yuee Zhou, Fengqing Jin, Guodong Suo, Jianlan Yang

BMC Medical Imaging, December, 2025

Defying Multi-Model Forgetting in One-Shot Neural Architecture Search Using Orthogonal Gradient Learning.

Lianbo Ma, Yuee Zhou, Ye Ma, Guo Yu, Qing Li, Qiang He, Yan Pei

IEEE Trans. Computers, May, 2025

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning.

Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI.

Jing Liu, Yuee Zhou, Xinxin Cui, Fengqing Jin, Guodong Suo, Hao Xu, Jianlan Yang

IEEE Access, 2024

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training.

Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis.

Yang Liu, TieJun Xing, Yuee Zhou, Nan Li, Lianbo Ma, Yingyou Wen, Chang Liu, Haibo Shi

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm.

Xiaojie An, Lianbo Ma, Yuee Zhou, Nan Li, TieJun Xing, Yingyou Wen, Chang Liu, Haibo Shi

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Information extraction of Chinese medical electronic records via evolutionary neural architecture search.

Tian Zhang, Nan Li, Yuee Zhou, Wei Cai, Lianbo Ma

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Multiple Residual Quantization of Pruning.

Yuee Zhou, Haidong Kang, Tian Zhang, Lianbo Ma, TieJun Xing

Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2021

A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems.

Ruoyu Wang, Yuee Zhou, Hanning Chen, Lianbo Ma, Meng Zheng

IEEE Access, 2021