| MPCE: a maximum probability based cross entropy loss function for neural network classification Y Zhou, X Wang, M Zhang, J Zhu, R Zheng, Q Wu IEEE Access 7, 146331-146341, 2019 | 88 | 2019 |
| A randomized block-coordinate adam online learning optimization algorithm Y Zhou, M Zhang, J Zhu, R Zheng, Q Wu Neural Computing and Applications 32 (16), 12671-12684, 2020 | 36 | 2020 |
| Online learning for IoT optimization: A Frank–Wolfe adam-based algorithm M Zhang, Y Zhou, W Quan, J Zhu, R Zheng, Q Wu IEEE Internet of Things Journal 7 (9), 8228-8237, 2020 | 33 | 2020 |
| FastAdaBelief: improving convergence rate for belief-based adaptive optimizers by exploiting strong convexity Y Zhou, K Huang, C Cheng, X Wang, A Hussain, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
| Decentralized randomized block-coordinate Frank–Wolfe algorithms for submodular maximization over networks M Zhang, Y Zhou, Q Ge, R Zheng, Q Wu IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (8), 5081-5091, 2021 | 8 | 2021 |
| LightAdam: Towards a fast and accurate adaptive momentum online algorithm Y Zhou, K Huang, C Cheng, X Wang, X Liu Cognitive Computation 14 (2), 764-779, 2022 | 7 | 2022 |
| A Markov random field based method for removing invalid unwrapping phase points in 3D reconstruction J Gao, F Wu, C Cheng, C Wu, Y Zhou IET Image Processing 17 (12), 3477-3487, 2023 | 2 | 2023 |
| GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments W Wei, K Huang, X Liu, Y Zhou IEEE Transactions on Instrumentation and Measurement, 2023 | 2 | 2023 |
| Large-scale calibration method for MEMS-based projector 3D reconstruction T Wan, Y Liu, Y Zhou, X Liu Optics Express 31 (4), 5893-5909, 2023 | 2 | 2023 |
| Online learning for dnn training: a stochastic block adaptive gradient algorithm J Liu, B Li, Y Zhou, X Zhao, J Zhu, M Zhang Computational Intelligence and Neuroscience 2022 (1), 9337209, 2022 | 1 | 2022 |
| Randomized block-coordinate adaptive algorithms for nonconvex optimization problems Y Zhou, K Huang, J Li, C Cheng, X Wang, A Hussian, X Liu Engineering Applications of Artificial Intelligence 121, 105968, 2023 | | 2023 |
| Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions Y Zhou, K Huang, C Cheng, X Wang, A Hussain, X Liu IEEE Transactions on Emerging Topics in Computational Intelligence 7 (2 …, 2022 | | 2022 |
| A Projection‐Free Adaptive Momentum Optimization Algorithm for Mobile Multimedia Computing L Wang, Y Zhou, X Wang, Z Ji, X Liu Wireless Communications and Mobile Computing 2022 (1), 8533687, 2022 | | 2022 |
