Lida Liu

According to our database, Lida Liu authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

MCNN-SENet: bearing fault diagnosis method based on multi-scale convolution and squeeze-and-excitation networks.

Lida Liu, Yingjie Chen, Mei Sun, Qimiao Wang, Peiguang Lin

Int. J. Wirel. Mob. Comput., 2026

Oriented bounding box detection algorithm for dense scenarios of robotic arm operation.

Jinshun Dong, Lixia Deng, Dapeng Wan, Chenxu Liu, Jianqin Yin, Meiqi Guo, Hongyu Zhang, Shoujun Lin, Haiying Liu, Lida Liu

Expert Syst. Appl., 2026

AUV-Net: An adaptive feature fusion network for small object detection in unmanned aerial vehicle scenes.

Zenghui Qu, Haiying Liu, Weigang Kong, Jason Gu, Chaoqun Wang, Lixia Deng, Lida Liu

Appl. Soft Comput., 2026

2025

An efficient human pose keypoint detection algorithm base on YOLOv8.

Shengqi Yang, Haiying Liu, Yifeng Du, Tao Sun, Chaoqun Wang, Fei Lin, Lida Liu

J. Supercomput., October, 2025

MIS-YOLOv8: An Improved Algorithm for Detecting Small Objects in UAV Aerial Photography Based on YOLOv8.

Sun Tao, Yang Shengqi, Haiying Liu, Jason Gu, Lixia Deng, Lida Liu

IEEE Trans. Instrum. Meas., 2025

A Lighter and Faster One-Stage Algorithm for Object Detection in Remote Sensing Images.

Yifeng Du, Haiying Liu, Yang Shengqi, Junmei Guo, Dehao Dong, Jason Gu, Chaoqun Wang, Lida Liu

IEEE Geosci. Remote. Sens. Lett., 2025

Bearing fault prediction fusion algorithm based on multi-dimensional signal.

Lida Liu, Qimiao Wang, Mei Sun, Yingjie Chen, Peiguang Lin

Int. J. Comput. Sci. Math., 2025

LP-YOLO: An improved lightweight pedestrian detection algorithm based on YOLOv11.

Zenghui Qu, Haiying Liu, Weigang Kong, Jason Gu, Chaoqun Wang, Lixia Deng, Lida Liu, Fei Lin

Digit. Signal Process., 2025

2024

DS-YOLOv7: Dense Small Object Detection Algorithm for UAV.

Tao Sun, Haonan Chen, Haiying Liu, Lixia Deng, Lida Liu, Shuang Li

IEEE Access, 2024

2023

WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network.

Qingzhe Wei, Xincheng Tian, Long Cui, Fuquan Zheng, Lida Liu

Eng. Appl. Artif. Intell., 2023

2020

Hardware-Efficient ROADM Design with Fiber-Core Bypassing for WDM/SDM Networks.

Lida Liu, Shuangyi Yan, Gerald Q. Maguire Jr., Yanlong Li, Dimitra Simeonidou

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020