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)

Double Auction-Based Dynamic Role Assignment Algorithm. - Fan Liu; Fangzhen Ge; Xiang Li; Longfeng Shen; Xiaocheng Li (CIS, 2021)

RGBT tracking based on cooperative low-rank graph model. - Longfeng Shen; Xiaoxiao Wang 003; Lei Liu 049; Bin Hou; Yulei Jian; Jin Tang 001; Bin Luo 001 (Neurocomputing, 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., 2022)

A super-resolution strategy for mass spectrometry imaging via transfer learning. - Tiepeng Liao; Zihao Ren; Zhaoliang Chai; Man Yuan; Chenjian Miao; Junjie Li 002; Qi Chen; Zhilin Li; Ziyi Wang; Lin Yi; Siyuan Ge; Wenwei Qian; et al. (Nat. Mac. Intell., 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., 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 001 (Inf. Sci., 2023)

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 (BICS (1), 2024)

MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network. - Longfeng Shen; Yanqi Hou; Jiacong Chen; Liangjin Diao; Yaxi Duan (CoRR, 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)

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)

Prototype-based cross-modal object tracking. - Lei Liu 049; Chenglong Li 002; Futian Wang; Longfeng Shen; Jin Tang 001 (Inf. Fusion, 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., 2025)

An Enhanced Cross-Attention Based Multimodal Model for Depression Detection. - Yifan Kou; Fangzhen Ge; Debao Chen; Longfeng Shen; Huaiyu Liu (Comput. Intell., 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., 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., 2025)