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ORCIDYangfan Zhou 0004
Person information
- affiliation: Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China
Other persons with the same name
- Yangfan Zhou — disambiguation page
- Yangfan Zhou 0001
![[0000-0001-6177-2344]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6177-2344")
— Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China - Yangfan Zhou 0002 — Fudan University, Shanghai, China
- Yangfan Zhou 0003 — Southwest University of Science and Technology, Mianyang, Sichuan, China
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2020 – today
- 2025
[j14]Jiantao Li, Chenbin Yu, Wenhui Wei, Jiadong Li, Kaizhu Huang, Amir Hussian, Xin Liu, Yangfan Zhou:
A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View. Cogn. Comput. 17(2): 89 (2025)- [j13]Wenhui Wei, Yangfan Zhou, Yimin Hu, Zhi Li, Sen Wang, Xin Liu, Jiadong Li:
BotVIO: A Lightweight Transformer-Based Visual-Inertial Odometry for Robotics. IEEE Trans. Robotics 41: 3760-3778 (2025) - 2024
- [j12]Wenhui Wei, Yang Ping, Jiadong Li, Xin Liu, Yangfan Zhou:
Fine-MVO: Toward Fine-Grained Feature Enhancement for Self-Supervised Monocular Visual Odometry in Dynamic Environments. IEEE Trans. Intell. Transp. Syst. 25(10): 13947-13960 (2024) - [c3]Wenhui Wei, Jiantao Li, Kaizhu Huang, Jiadong Li, Xin Liu, Yangfan Zhou:
Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture. ICRA 2024: 10305-10311 - 2023
- [j11]Yangfan Zhou, Kaizhu Huang, Jiang Li, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu:
Randomized block-coordinate adaptive algorithms for nonconvex optimization problems. Eng. Appl. Artif. Intell. 121: 105968 (2023) - [j10]Jinfeng Gao, Fengyuan Wu, Cheng Cheng, Chengbai Wu, Yangfan Zhou:
A Markov random field based method for removing invalid unwrapping phase points in 3D reconstruction. IET Image Process. 17(12): 3477-3487 (2023) - [j9]Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu:
Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 565-577 (2023) - [j8]Wenhui Wei, Kaizhu Huang, Xin Liu, Yangfan Zhou:
GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j7]Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu:
FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6515-6529 (2023) - 2022
- [j6]Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu:
LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm. Cogn. Comput. 14(2): 764-779 (2022) - [j5]Mingchuan Zhang, Yangfan Zhou, Quanbo Ge, Ruijuan Zheng, Qingtao Wu:
Decentralized Randomized Block-Coordinate Frank-Wolfe Algorithms for Submodular Maximization Over Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5081-5091 (2022) - 2021
- [c2]Yangfan Zhou, Cheng Cheng, Jiang Li, Yafei Ji, Haoyuan Wang, Xuguang Wang, Xin Liu:
DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions. ICCSIP 2021: 76-88 - [c1]Yafei Ji, Xiang Wang, Yangfan Zhou, Chen Cheng, Jiang Li, Haoyuan Wang, Xuguang Wang, Xin Liu:
A Scalable 3D Array Architecture for Accelerating Convolutional Neural Networks. ICCSIP 2021: 89-102 - [i1]Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu:
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity. CoRR abs/2104.13790 (2021) - 2020
- [j4]Mingchuan Zhang, Yangfan Zhou, Wei Quan, Junlong Zhu, Ruijuan Zheng, Qingtao Wu:
Online Learning for IoT Optimization: A Frank-Wolfe Adam-Based Algorithm. IEEE Internet Things J. 7(9): 8228-8237 (2020) - [j3]Yangfan Zhou, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qingtao Wu:
A Randomized Block-Coordinate Adam online learning optimization algorithm. Neural Comput. Appl. 32(16): 12671-12684 (2020)
2010 – 2019
- 2019
- [j2]Yangfan Zhou, Xin Wang, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qingtao Wu:
MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification. IEEE Access 7: 146331-146341 (2019) - [j1]Yangfan Zhou, Mingchuan Zhang, Ping Xie, Junlong Zhu, Ruijuan Zheng, Qingtao Wu:
Sparse long short-term memory for information fusion in wireless sensor networks. Int. J. Distributed Sens. Networks 15(4) (2019)
Coauthor Index
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