Meng Lou - RankMe

35 papers A* 4B 1C 1Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multimodal knowledge synergistic pre-training framework with masked vision-language modeling for remote sensing. Neurocomputing Meng Lou, Yunliang Qi, Shiqiang Du, Chunbo Xu, Zhen Yang, Yulin Shen
2026	J	`jnl`	CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection. CoRR Boyang Dai, Zeng Fan, Zihao Qi, Meng Lou, Yizhou Yu
2026	J	`jnl`	Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing. CoRR Meng Lou, Stanley Yu, Yizhou Yu
2026	J	`jnl`	Scaling Continual Learning with Bi-Level Routing Mixture-of-Experts. CoRR Meng Lou, Yunxiang Fu, Yizhou Yu
2025	J	`jnl`	A2Mamba: Attention-augmented State Space Models for Visual Recognition. CoRR Meng Lou, Yunxiang Fu, Yizhou Yu
2025	J	`jnl`	Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey. CoRR Yunliang Qi, Meng Lou, Yimin Liu, Lu Li, Zhen Yang, Wen Nie
2025	J	`jnl`	BiTS-SleepNet: An Attention-Based Two Stage Temporal-Spectral Fusion Model for Sleep Staging With Single-Channel EEG. IEEE J. Biomed. Health Informatics Zhaoyang Cong, Minghui Zhao, Hongxiang Gao, Meng Lou, Guowei Zheng, Ziyang Wang, Xingyao Wang, Chang Yan, Li Ling, Jianqing Li, Chengyu Liu
2025	A*	`conf`	OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels. CVPR Meng Lou, Yizhou Yu
2025	J	`jnl`	OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels. CoRR Meng Lou, Yizhou Yu
2025	J	`jnl`	SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging. Neural Networks Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqin Zhang, Yizhou Yu
2025	A*	`conf`	SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation. CVPR Yunxiang Fu, Meng Lou, Yizhou Yu
2025	A*	`conf`	SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. AAAI Meng Lou, Yunxiang Fu, Yizhou Yu
2025	J	`jnl`	TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. Meng Lou, Shu Zhang, Hong-Yu Zhou, Sibei Yang, Chuan Wu, Yizhou Yu
2024	J	`jnl`	SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. CoRR Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu
2024	J	`jnl`	SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation. CoRR Yunxiang Fu, Meng Lou, Yizhou Yu
2024	J	`jnl`	SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. CoRR Meng Lou, Yunxiang Fu, Yizhou Yu
2023	J	`jnl`	ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation. Comput. Biol. Medicine Zhou Ma, Yunliang Qi, Chunbo Xu, Wei Zhao, Meng Lou, Yiming Wang, Yide Ma
2023	J	`jnl`	Multi-level feature fusion network for nuclei segmentation in digital histopathological images. Vis. Comput. Xiaorong Li, Jiande Pi, Meng Lou, Yunliang Qi, Sizheng Li, Jie Meng, Yide Ma
2023	J	`jnl`	TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. CoRR Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu
2023	J	`jnl`	Unified three-pathway framework for naturalness preservation image enhancement. J. Electronic Imaging Yunliang Qi, Kun Zhan, Meng Lou, Shouliang Li, Zhen Yang, Yide Ma
2022	J	`jnl`	ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images. Biomed. Signal Process. Control. Chunbo Xu, Yunliang Qi, Yiming Wang, Meng Lou, Jiande Pi, Yide Ma
2022	J	`jnl`	ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms. J. Intell. Fuzzy Syst. Kexin Sun, Yuelan Xin, Yide Ma, Meng Lou, Yunliang Qi, Jie Zhu
2022	J	`jnl`	Aggregated pyramid attention network for mass segmentation in mammograms. Multim. Tools Appl. Meng Lou, Yunliang Qi, Xiaorong Li, Chunbo Xu, Wenwei Zhao, Xiangyu Deng, Yide Ma
2022	J	`jnl`	Breast density measurement methods on mammograms: a review. Multim. Syst. Xiaorong Li, Yunliang Qi, Meng Lou, Wenwei Zhao, Jie Meng, WenJun Zhang, Yide Ma
2022	J	`jnl`	Correction to: Learning multi‑frequency features in convolutional network for mammography classification. Medical Biol. Eng. Comput. Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma
2022	J	`jnl`	Learning multi-frequency features in convolutional network for mammography classification. Medical Biol. Eng. Comput. Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma
2022	J	`jnl`	MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging. Neurocomputing Meng Lou, Jie Meng, Yunliang Qi, Xiaorong Li, Yide Ma
2021	J	`jnl`	Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms. Appl. Intell. Wenwei Zhao, Meng Lou, Yunliang Qi, Yiming Wang, Chunbo Xu, Xiangyu Deng, Yide Ma
2021	J	`jnl`	BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram. Biomed. Signal Process. Control. Wenwei Zhao, Runze Wang, Yunliang Qi, Meng Lou, Yiming Wang, Yang Yang, Xiangyu Deng, Yide Ma
2021	C	`conf`	CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation. CIS Kexin Sun, Yuelan Xin, Yunliang Qi, Meng Lou, Kai Ye, Yinru Ye
2021	J	`jnl`	FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening. Comput. Biol. Medicine Jiande Pi, Yunliang Qi, Meng Lou, Xiaorong Li, Yiming Wang, Chunbo Xu, Yide Ma
2021	J	`jnl`	MGBN: Convolutional neural networks for automated benign and malignant breast masses classification. Multim. Tools Appl. Meng Lou, Runze Wang, Yunliang Qi, Wenwei Zhao, Chunbo Xu, Jie Meng, Xiangyu Deng, Yide Ma
2021	J	`jnl`	Multi-Scale Attention-Guided Network for mammograms classification. Biomed. Signal Process. Control. Chunbo Xu, Meng Lou, Yunliang Qi, Yiming Wang, Jiande Pi, Yide Ma
2004	A*	`conf`	HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional Data. VLDB Ji Zhang, Meng Lou, Tok Wang Ling, Hai H. Wang
2002	B	`conf`	Relating Multi-step and Single-Step Microprocessor Correctness Statements. FMCAD Mark D. Aagaard, Nancy A. Day, Meng Lou