Yangfan Zhou

According to our database, Yangfan Zhou authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View.

Jiantao Li, Chenbin Yu, Wenhui Wei, Jiadong Li, Kaizhu Huang, Amir Hussian, Xin Liu, Yangfan Zhou

Cogn. Comput., April, 2025

BotVIO: A Lightweight Transformer-Based Visual-Inertial Odometry for Robotics.

Wenhui Wei, Yangfan Zhou, Yimin Hu, Zhi Li, Sen Wang, Xin Liu, Jiadong Li

IEEE Trans. Robotics, 2025

2024

Fine-MVO: Toward Fine-Grained Feature Enhancement for Self-Supervised Monocular Visual Odometry in Dynamic Environments.

Wenhui Wei, Yang Ping, Jiadong Li, Xin Liu, Yangfan Zhou

IEEE Trans. Intell. Transp. Syst., October, 2024

Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture.

Wenhui Wei, Jiantao Li, Kaizhu Huang, Jiadong Li, Xin Liu, Yangfan Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity.

Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Randomized block-coordinate adaptive algorithms for nonconvex optimization problems.

Yangfan Zhou, Kaizhu Huang, Jiang Li, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu

Eng. Appl. Artif. Intell., May, 2023

Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions.

Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments.

Wenhui Wei, Kaizhu Huang, Xin Liu, Yangfan Zhou

IEEE Trans. Instrum. Meas., 2023

A Markov random field based method for removing invalid unwrapping phase points in 3D reconstruction.

Jinfeng Gao, Fengyuan Wu, Cheng Cheng, Chengbai Wu, Yangfan Zhou

IET Image Process., 2023

2022

Decentralized Randomized Block-Coordinate Frank-Wolfe Algorithms for Submodular Maximization Over Networks.

Mingchuan Zhang, Yangfan Zhou, Quanbo Ge, Ruijuan Zheng, Qingtao Wu

IEEE Trans. Syst. Man Cybern. Syst., 2022

LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm.

Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu

Cogn. Comput., 2022

2021

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity.

Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu

CoRR, 2021

DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions.

Yangfan Zhou, Cheng Cheng, Jiang Li, Yafei Ji, Haoyuan Wang, Xuguang Wang, Xin Liu

Proceedings of the Cognitive Systems and Information Processing, 2021

A Scalable 3D Array Architecture for Accelerating Convolutional Neural Networks.

Yafei Ji, Xiang Wang, Yangfan Zhou, Chen Cheng, Jiang Li, Haoyuan Wang, Xuguang Wang, Xin Liu

Proceedings of the Cognitive Systems and Information Processing, 2021

2020

A Randomized Block-Coordinate Adam online learning optimization algorithm.

Yangfan Zhou, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qingtao Wu

Neural Comput. Appl., 2020

Online Learning for IoT Optimization: A Frank-Wolfe Adam-Based Algorithm.

Mingchuan Zhang, Yangfan Zhou, Wei Quan, Junlong Zhu, Ruijuan Zheng, Qingtao Wu

IEEE Internet Things J., 2020

2019

Sparse long short-term memory for information fusion in wireless sensor networks.

Yangfan Zhou, Mingchuan Zhang, Ping Xie, Junlong Zhu, Ruijuan Zheng, Qingtao Wu

Int. J. Distributed Sens. Networks, 2019

MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification.

Yangfan Zhou, Xin Wang, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qingtao Wu

IEEE Access, 2019