An efficient depth MAP model based on geometric properties. - Weiran Li; Xiaozhen Zheng; Jianhua Zheng; Yun He; Xu Chen (APSIPA, 2014)

Investigation and analysis on the effect of filtering mechanisms for 3D depth map coding. - Xiaozhen Zheng; Weiran Li; Jianhua Zheng; Xu Chen (APSIPA, 2014)

CR-U-Net: Cascaded U-Net with Residual Mapping for Liver Segmentation in CT Images*. - Yiwei Liu; Na Qi; Qing Zhu; Weiran Li (VCIP, 2019)

A Facial Expression Synthesis Method Based on Generative Adversarial Network. - Bin Xu; Weiran Li; Qing Zhu (ICCAI, 2022)

A Non-Associated MSCC Model for Simulating Structured and Destructured Clays. - Bohan Jing; Weiran Li; Qing Zhu (SIGGRAPH Asia Posters, 2022)

CMFTNet: Multiple fish tracking based on counterpoised JointNet. - Weiran Li; Fei Li 022; Zhenbo Li (Comput. Electron. Agric., 2022)

LFCNet: A lightweight fish counting model based on density map regression. - Yuanyang Zhao; Weiran Li; Yiming Li; Yanyu Qi; Zhenbo Li; Jun Yue (Comput. Electron. Agric., 2022)

An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50. - Pu Yang; Qinghao Liu; Boning Wang; Weiran Li; Zhenbo Li; Ming Sun (Int. J. Sens. Networks, 2022)

A lightweight network for portable fry counting devices. - Weiran Li; Qian Zhu; Hanyu Zhang; Ziyu Xu; Zhenbo Li (Appl. Soft Comput., 2023)

Dynamic fry counting based on multi-object tracking and one-stage detection. - Hanyu Zhang; Weiran Li; Yanyu Qi; Haonan Liu; Zhenbo Li (Comput. Electron. Agric., 2023)

"Hyper Photography" Artifact: An interactive aesthetic education experience device designed based on AIGC. - Yishan Liu; Zhen Chen; Xin Xie; Yaodong Hu; Lie Zhang; Weiran Li; Shuangshou Li (AIIoT, 2024)

TFMFT: Transformer-based multiple fish tracking. - Weiran Li; Yeqiang Liu 001; Wenxu Wang 002; Zhenbo Li; Jun Yue (Comput. Electron. Agric., 2024)

Deep learning in multiple animal tracking: A survey. - Yeqiang Liu 001; Weiran Li; Xue Liu; Zhenbo Li; Jun Yue (Comput. Electron. Agric., 2024)

Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving. - Wenxu Wang 002; Zhenbo Li; Weiran Li (Neural Networks, 2024)

PDTrack: Progressive Distance Association for Multiple Object Tracking. - Yeqiang Liu 001; Weiran Li; Yanhao Ding; Zhenbo Li (ICASSP, 2025)

Optimize Visual Shopping Journey with Embedding-based Retrieval in Pinterest Closeup. - Junpeng Hou; Wei-Ting Lin; Arkin Dharawat; Jiaxing Qu; Qi Wang; Sai Xiao; Xianxing Zhang; Weiran Li (SIGIR, 2025)

FireSeg: A weakly supervised fire segmentation framework via pre-trained latent diffusion models. - Wei Zhang; Hongtao Zheng; Weiran Li; Shuwen Pan; Yan Liu (Expert Syst. Appl., 2025)

Colliding Depths and Fusion: Leveraging Adaptive Feature Maps and Restorable Depth Recharge for Infrared and Visible Scene Fusion. - Mina Han; Kailong Yu; Weiran Li; Qiannan Guo; Zhenbo Li (IEEE Trans. Multim., 2025)

When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking. - Weiran Li; Yeqiang Liu 001; Qiannan Guo; Yijie Wei; Hwa Liang Leo; Zhenbo Li (CoRR, 2025)