Relating Multi-step and Single-Step Microprocessor Correctness Statements. - Mark D. Aagaard; Nancy A. Day; Meng Lou (FMCAD, 2002)

HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional Data. - Ji Zhang 001; Meng Lou; Tok Wang Ling; Hai H. Wang (VLDB, 2004)

CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation. - Kexin Sun; Yuelan Xin; Yunliang Qi; Meng Lou; Kai Ye; Yinru Ye (CIS, 2021)

Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms. - Wenwei Zhao; Meng Lou; Yunliang Qi; Yiming Wang; Chunbo Xu; Xiangyu Deng; Yide Ma (Appl. Intell., 2021)

Multi-Scale Attention-Guided Network for mammograms classification. - Chunbo Xu; Meng Lou; Yunliang Qi; Yiming Wang; Jiande Pi; Yide Ma (Biomed. Signal Process. Control., 2021)

BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram. - Wenwei Zhao; Runze Wang; Yunliang Qi; Meng Lou; Yiming Wang; Yang Yang; Xiangyu Deng; Yide Ma (Biomed. Signal Process. Control., 2021)

FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening. - Jiande Pi; Yunliang Qi; Meng Lou; Xiaorong Li; Yiming Wang; Chunbo Xu; Yide Ma (Comput. Biol. Medicine, 2021)

MGBN: Convolutional neural networks for automated benign and malignant breast masses classification. - Meng Lou; Runze Wang; Yunliang Qi; Wenwei Zhao; Chunbo Xu; Jie Meng; Xiangyu Deng; Yide Ma (Multim. Tools Appl., 2021)

ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images. - Chunbo Xu; Yunliang Qi; Yiming Wang; Meng Lou; Jiande Pi; Yide Ma (Biomed. Signal Process. Control., 2022)

MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging. - Meng Lou; Jie Meng; Yunliang Qi; Xiaorong Li; Yide Ma (Neurocomputing, 2022)

ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms. - Kexin Sun; Yuelan Xin; Yide Ma; Meng Lou; Yunliang Qi; Jie Zhu (J. Intell. Fuzzy Syst., 2022)

Learning multi-frequency features in convolutional network for mammography classification. - Yiming Wang; Yunliang Qi; Chunbo Xu; Meng Lou; Yide Ma (Medical Biol. Eng. Comput., 2022)

Correction to: Learning multi‑frequency features in convolutional network for mammography classification. - Yiming Wang; Yunliang Qi; Chunbo Xu; Meng Lou; Yide Ma (Medical Biol. Eng. Comput., 2022)

Breast density measurement methods on mammograms: a review. - Xiaorong Li; Yunliang Qi; Meng Lou; Wenwei Zhao; Jie Meng; Wenjun Zhang; Yide Ma (Multim. Syst., 2022)

Aggregated pyramid attention network for mass segmentation in mammograms. - Meng Lou; Yunliang Qi; Xiaorong Li; Chunbo Xu; Wenwei Zhao; Xiangyu Deng; Yide Ma (Multim. Tools Appl., 2022)

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. - Meng Lou; Hongyu Zhou; Sibei Yang; Yizhou Yu (CoRR, 2023)

Unified three-pathway framework for naturalness preservation image enhancement. - Yunliang Qi; Kun Zhan; Meng Lou; Shouliang Li; Zhen Yang; Yide Ma (J. Electronic Imaging, 2023)

ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation. - Zhou Ma; Yunliang Qi; Chunbo Xu; Wei Zhao; Meng Lou; Yiming Wang; Yide Ma (Comput. Biol. Medicine, 2023)

Multi-level feature fusion network for nuclei segmentation in digital histopathological images. - Xiaorong Li; Jiande Pi; Meng Lou; Yunliang Qi; Sizheng Li; Jie Meng; Yide Ma (Vis. Comput., 2023)

SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. - Meng Lou; Hanning Ying; Xiaoqing Liu; Hong-Yu Zhou; Yuqing Zhang; Yizhou Yu (CoRR, 2024)

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. - Meng Lou; Yunxiang Fu; Yizhou Yu (AAAI, 2025)

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation. - Yunxiang Fu; Meng Lou; Yizhou Yu (CVPR, 2025)

OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels. - Meng Lou; Yizhou Yu (CVPR, 2025)

SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging. - Meng Lou; Hanning Ying; Xiaoqing Liu; Hong-Yu Zhou; Yuqin Zhang; Yizhou Yu (Neural Networks, 2025)

Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey. - Yunliang Qi; Meng Lou; Yimin Liu; Lu Li; Zhen Yang; Wen Nie (CoRR, 2025)

BiTS-SleepNet: An Attention-Based Two Stage Temporal-Spectral Fusion Model for Sleep Staging With Single-Channel EEG. - Zhaoyang Cong; Minghui Zhao; Hongxiang Gao; Meng Lou; Guowei Zheng; Ziyang Wang; Xingyao Wang 001; Chang Yan; Li Ling; Jianqing Li 002; Chengyu Liu 001 (IEEE J. Biomed. Health Informatics, 2025)

TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition. - Meng Lou; Shu Zhang 001; Hong-Yu Zhou; Sibei Yang; Chuan Wu 001; Yizhou Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

A2Mamba: Attention-augmented State Space Models for Visual Recognition. - Meng Lou; Yunxiang Fu; Yizhou Yu (CoRR, 2025)