Yuee Zhou

14 papers A* 2Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Stable Locality-Aware Task Scheduling Mechanism for Mobile Edge Computing With Workflow Task Offloading.
IEEE Trans. Serv. Comput.
Yuee Zhou, Lianbo Ma, Ying Qian, Min Huang, Fei Hao, Xingwei Wang
2026 J jnl
Near Optimal Locality-Aware Task Allocation Toward Stable Blockchain-Based MEC System: A Potential Game Approach.
IEEE Trans. Mob. Comput.
Lianbo Ma, Yuee Zhou, Liang Wang, Xingwei Wang, Carla-Fabiana Chiasserini, Guangjie Han
2025 J jnl
Defying Multi-Model Forgetting in One-Shot Neural Architecture Search Using Orthogonal Gradient Learning.
IEEE Trans. Computers
Lianbo Ma, Yuee Zhou, Ye Ma, Guo Yu, Qing Li, Qiang He, Yan Pei
2025 A* conf
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning.
ICML
Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu
2025 J jnl
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning.
CoRR
Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu
2025 J jnl
ResViT-GANNet: a deep learning framework for classifying breast cancer histopathology images using multimodal attention and GAN-based augmentation.
BMC Medical Imaging
Yuee Zhou, Fengqing Jin, Guodong Suo, Jianlan Yang
2024 J jnl
Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI.
IEEE Access
Jing Liu, Yuee Zhou, Xinxin Cui, Fengqing Jin, Guodong Suo, Hao Xu, Jianlan Yang
2024 A* conf
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training.
AAAI
Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li
2024 J jnl
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training.
CoRR
Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li
2023 — conf
A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis.
ICSI (1)
Yang Liu, TieJun Xing, Yuee Zhou, Nan Li, Lianbo Ma, Yingyou Wen, Chang Liu, Haibo Shi
2023 — conf
Information extraction of Chinese medical electronic records via evolutionary neural architecture search.
ICDM (Workshops)
Tian Zhang, Nan Li, Yuee Zhou, Wei Cai, Lianbo Ma
2023 — conf
Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm.
ICSI (1)
Xiaojie An, Lianbo Ma, Yuee Zhou, Nan Li, TieJun Xing, Yingyou Wen, Chang Liu, Haibo Shi
2022 — conf
Multiple Residual Quantization of Pruning.
DMBD (1)
Yuee Zhou, Haidong Kang, Tian Zhang, Lianbo Ma, TieJun Xing
2021 J jnl
A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems.
IEEE Access
Ruoyu Wang, Yuee Zhou, Hanning Chen, Lianbo Ma, Meng Zheng