MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification. - Yangfan Zhou 004; Xin Wang 087; Mingchuan Zhang; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (IEEE Access, 2019)

Sparse long short-term memory for information fusion in wireless sensor networks. - Yangfan Zhou 004; Mingchuan Zhang; Ping Xie; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (Int. J. Distributed Sens. Networks, 2019)

Online Learning for IoT Optimization: A Frank-Wolfe Adam-Based Algorithm. - Mingchuan Zhang; Yangfan Zhou 004; Wei Quan 001; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (IEEE Internet Things J., 2020)

A Randomized Block-Coordinate Adam online learning optimization algorithm. - Yangfan Zhou 004; Mingchuan Zhang; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (Neural Comput. Appl., 2020)

A Scalable 3D Array Architecture for Accelerating Convolutional Neural Networks. - Yafei Ji; Xiang Wang; Yangfan Zhou 004; Chen Cheng; Jiang Li; Haoyuan Wang; Xuguang Wang; Xin Liu 102 (ICCSIP, 2021)

DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions. - Yangfan Zhou 004; Cheng Cheng; Jiang Li; Yafei Ji; Haoyuan Wang; Xuguang Wang; Xin Liu 102 (ICCSIP, 2021)

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity. - Yangfan Zhou 004; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Xin Liu 102 (CoRR, 2021)

LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm. - Yangfan Zhou 004; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Xin Liu 102 (Cogn. Comput., 2022)

Decentralized Randomized Block-Coordinate Frank-Wolfe Algorithms for Submodular Maximization Over Networks. - Mingchuan Zhang; Yangfan Zhou 004; Quanbo Ge; Ruijuan Zheng; Qingtao Wu (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Markov random field based method for removing invalid unwrapping phase points in 3D reconstruction. - Jinfeng Gao 001; Fengyuan Wu; Cheng Cheng; Chengbai Wu; Yangfan Zhou 004 (IET Image Process., 2023)

GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments. - Wenhui Wei; Kaizhu Huang; Xin Liu 102; Yangfan Zhou 004 (IEEE Trans. Instrum. Meas., 2023)

Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. - Yangfan Zhou 004; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Amir Hussain 001; Xin Liu 102 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Randomized block-coordinate adaptive algorithms for nonconvex optimization problems. - Yangfan Zhou 004; Kaizhu Huang; Jiang Li; Cheng Cheng; Xuguang Wang; Amir Hussain 001; Xin Liu 102 (Eng. Appl. Artif. Intell., 2023)

FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity. - Yangfan Zhou 004; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Amir Hussain 001; Xin Liu 102 (IEEE Trans. Neural Networks Learn. Syst., 2023)

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 102; Yangfan Zhou 004 (ICRA, 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 102; Yangfan Zhou 004 (IEEE Trans. Intell. Transp. Syst., 2024)

BotVIO: A Lightweight Transformer-Based Visual-Inertial Odometry for Robotics. - Wenhui Wei; Yangfan Zhou 004; Yimin Hu; Zhi Li; Sen Wang; Xin Liu 102; Jiadong Li (IEEE Trans. Robotics, 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 102; Yangfan Zhou 004 (Cogn. Comput., 2025)