Longfeng Shen

According to our database, Longfeng Shen authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

MCT-Net: a multi-branch hybrid CNN-transformer model for medical image segmentation.

Longfeng Shen, Liangjin Diao, Rui Peng, Jiacong Chen, Zhengtian Lu, Fangzhen Ge

Pattern Anal. Appl., June, 2025

TransFGVC: transformer-based fine-grained visual classification.

Longfeng Shen, Bin Hou, Yulei Jian, Xisong Tu, Yingjie Zhang, Lingying Shuai, Fangzhen Ge, Debao Chen

Vis. Comput., March, 2025

An Enhanced Cross-Attention Based Multimodal Model for Depression Detection.

Yifan Kou, Fangzhen Ge, Debao Chen, Longfeng Shen, Huaiyu Liu

Comput. Intell., February, 2025

A dynamic multi-objective optimization algorithm based on probability-driven prediction and correlation-guided individual transfer.

Fangzhen Ge, Xuan Zhao, Debao Chen, Longfeng Shen, Huaiyu Liu

J. Supercomput., January, 2025

Prototype-based cross-modal object tracking.

Lei Liu, Chenglong Li, Futian Wang, Longfeng Shen, Jin Tang

Inf. Fusion, 2025

2024

A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification.

Fangzhen Ge, Xing Hou, Debao Chen, Longfeng Shen, Huaiyu Liu

Inf. Sci., 2024

A Reference Vector-Assisted Many-Objective Optimization Algorithm with Adaptive Niche Dominance Relation.

Fangzhen Ge, Yating Wu, Debao Chen, Longfeng Shen

Intell. Autom. Soft Comput., 2024

MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network.

Longfeng Shen, Yanqi Hou, Jiacong Chen, Liangjin Diao, Yaxi Duan

CoRR, 2024

MBDR-V2: A Network for MRI Brain Tumor Image Segmentation with Incomplete Modalities.

Yanqi Hou, Longfeng Shen, Jiacong Chen, Liangjin Diao, Youle Xu, Wei Zhao

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2024

2023

Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network.

Xing Hou, Fangzhen Ge, Debao Chen, Longfeng Shen, Feng Zou

Inf. Sci., November, 2023

EGARNet: adjacent residual lightweight super-resolution network based on extended group-enhanced convolution.

Longfeng Shen, Fenglan Qin, Hongying Zhu, Dengdi Sun, Hai Min

Multim. Syst., October, 2023

A super-resolution strategy for mass spectrometry imaging via transfer learning.

Tiepeng Liao, Zihao Ren, Zhaoliang Chai, Man Yuan, Chenjian Miao, Junjie Li, Qi Chen, Zhilin Li, Ziyi Wang, Lin Yi, Siyuan Ge, Wenwei Qian, Longfeng Shen, Zilei Wang, Wei Xiong, Hongying Zhu

Nat. Mac. Intell., June, 2023

2022

Multi-Cue Gate-Shift Networks for Mouse Behavior Recognition.

Longfeng Shen, Yulei Jian, Debao Chen, Fangzheng Ge, Xiangjun Gao, Huaiyu Liu, Qianqian Meng, Yingjie Zhang, Chengzhen Xu

Appl. Artif. Intell., December, 2022

RGBT tracking based on cooperative low-rank graph model.

Longfeng Shen, Xiaoxiao Wang, Lei Liu, Bin Hou, Yulei Jian, Jin Tang, Bin Luo

Neurocomputing, 2022

2021

Double Auction-Based Dynamic Role Assignment Algorithm.

Fan Liu, Fangzhen Ge, Xiang Li, Longfeng Shen, Xiaocheng Li

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2018

Research on application of data mining in fast character recognition based on big data.

Ying Zheng, Wangan Song, Longfeng Shen

Concurr. Comput. Pract. Exp., 2018