Minghui Qin

According to our database, Minghui Qin authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

BotanicGarden: A High-Quality Dataset for Robot Navigation in Unstructured Natural Environments.

Yuanzhi Liu, Yujia Fu, Minghui Qin, Yufeng Xu, Baoxin Xu, Fengdong Chen, Bart Goossens, Poly Z. H. Sun, Hongwei Yu, Chun Liu, Long Chen, Wei Tao, Hui Zhao

IEEE Robotics Autom. Lett., 2024

2023

Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation.

Shuai Dong, Zhen Fan, Yihong Chen, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

Neural Networks, March, 2023

BotanicGarden: A high-quality and large-scale robot navigation dataset in challenging natural environments.

Yuanzhi Liu, Yujia Fu, Minghui Qin, Yufeng Xu, Baoxin Xu, Fengdong Chen, Bart Goossens, Hongwei Yu, Chun Liu, Long Chen, Wei Tao, Hui Zhao

CoRR, 2023

2022

A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks.

Shuai Dong, Yihong Chen, Zhen Fan, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

Neurocomputing, 2022

Weighted triplet loss based on deep neural networks for loop closure detection in VSLAM.

Na Dong, Minghui Qin, Jianfang Chang, Chun-Ho Wu, Wai-Hung Ip, Kai-Leung Yung

Comput. Commun., 2022

A Multifault-Tolerant Training Scheme for Nonideal Memristive Neural Networks.

Yihong Chen, Zhen Fan, Shuai Dong, Minghui Qin, Min Zeng, Xubing Lu, Gougu Zhou, Xingsen Gao, Jun-Ming Liu

Adv. Intell. Syst., 2022

2021

Triplet loss based metric learning for closed loop detection in VSLAM system.

Jianfang Chang, Na Dong, Donghui Li, Minghui Qin

Expert Syst. Appl., 2021