Meng Lou - researchr alias

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Viewing Publication 1 - 25 from 25

2026

A multimodal knowledge synergistic pre-training framework with masked vision-language modeling for remote sensingMeng Lou, Yunliang Qi, Shiqiang Du, Chunbo Xu, Zhen Yang 0039, Yulin Shen. ijon, 660:131841, 2026. [doi]

2025

BiTS-SleepNet: An Attention-Based Two Stage Temporal-Spectral Fusion Model for Sleep Staging With Single-Channel EEGZhaoyang Cong, Minghui Zhao, Hongxiang Gao, Meng Lou, Guowei Zheng, Ziyang Wang, Xingyao Wang 0001, Chang Yan, Li Ling, Jianqing Li 0002, Chengyu Liu 0001. titb, 29(5):3366-3376, May 2025. [doi]

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic SegmentationYunxiang Fu, Meng Lou, Yizhou Yu. cvpr 2025: 19077-19087 [doi]

OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic KernelsMeng Lou, Yizhou Yu. cvpr 2025: 128-138 [doi]

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer NetworksMeng Lou, Yunxiang Fu, Yizhou Yu. AAAI 2025: 19104-19114 [doi]

TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual RecognitionMeng Lou, Shu Zhang 0001, Hong-Yu Zhou, Sibei Yang, Chuan Wu 0001, Yizhou Yu. tnn, 36(6):11534-11547, June 2025. [doi]

SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imagingMeng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqin Zhang, Yizhou Yu. NN, 185:107228, 2025. [doi]

2023

2022

Breast density measurement methods on mammograms: a reviewXiaorong Li, Yunliang Qi, Meng Lou, Wenwei Zhao, Jie Meng, Wenjun Zhang, Yide Ma. mms, 28(6):2367-2390, 2022. [doi]

Aggregated pyramid attention network for mass segmentation in mammogramsMeng Lou, Yunliang Qi, Xiaorong Li, Chunbo Xu, Wenwei Zhao, Xiangyu Deng, Yide Ma. mta, 81(10):13335-13353, 2022. [doi]

MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imagingMeng Lou, Jie Meng, Yunliang Qi, Xiaorong Li, Yide Ma. ijon, 470:154-169, 2022. [doi]

ASU-Net: U-shape adaptive scale network for mass segmentation in mammogramsKexin Sun, Yuelan Xin, Yide Ma, Meng Lou, Yunliang Qi, Jie Zhu. jifs, 42(4):4205-4220, 2022. [doi]

Learning multi-frequency features in convolutional network for mammography classificationYiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma. mbec, 60(7):2051-2062, 2022. [doi]

Correction to: Learning multi‑frequency features in convolutional network for mammography classificationYiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma. mbec, 60(7):2063, 2022. [doi]

ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound imagesChunbo Xu, Yunliang Qi, Yiming Wang, Meng Lou, Jiande Pi, Yide Ma. bspc, 71(Part):103178, 2022. [doi]

2021

MGBN: Convolutional neural networks for automated benign and malignant breast masses classificationMeng Lou, Runze Wang, Yunliang Qi, Wenwei Zhao, Chunbo Xu, Jie Meng, Xiangyu Deng, Yide Ma. mta, 80(17):26731-26750, 2021. [doi]

FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengtheningJiande Pi, Yunliang Qi, Meng Lou, Xiaorong Li, Yiming Wang, Chunbo Xu, Yide Ma. cbm, 137:104800, 2021. [doi]

CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel SegmentationKexin Sun, Yuelan Xin, Yunliang Qi, Meng Lou, Kai Ye, Yinru Ye. ifip8-3 2021: 151-155 [doi]

Multi-Scale Attention-Guided Network for mammograms classificationChunbo Xu, Meng Lou, Yunliang Qi, Yiming Wang, Jiande Pi, Yide Ma. bspc, 68:102730, 2021. [doi]

Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammogramsWenwei Zhao, Meng Lou, Yunliang Qi, Yiming Wang, Chunbo Xu, Xiangyu Deng, Yide Ma. apin, 51(12):8810-8827, 2021. [doi]

BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogramWenwei Zhao, Runze Wang, Yunliang Qi, Meng Lou, Yiming Wang, Yang Yang, Xiangyu Deng, Yide Ma. bspc, 70:103073, 2021. [doi]

2004

HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional DataJi Zhang, Meng Lou, Tok Wang Ling, Hai H. Wang. VLDB 2004: 1265-1268 [doi]

2002

Relating Multi-step and Single-Step Microprocessor Correctness StatementsMark Aagaard, Nancy A. Day, Meng Lou. FMCAD 2002: 123-141 [doi]

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