| Mini-batch algorithms with online step size Z Yang, C Wang, Z Zhang, J Li Knowledge-Based Systems 165, 228-240, 2019 | 36 | 2019 |
| Random Barzilai–Borwein step size for mini-batch algorithms Z Yang, C Wang, Z Zhang, J Li Engineering Applications of Artificial Intelligence 72, 124-135, 2018 | 33 | 2018 |
| Mini-batch algorithms with Barzilai–Borwein update step Z Yang, C Wang, Y Zang, J Li Neurocomputing 314, 177-185, 2018 | 27 | 2018 |
| Accelerated stochastic gradient descent with step size selection rules Z Yang, C Wang, Z Zhang, J Li Signal Processing 159, 171-186, 2019 | 23 | 2019 |
| Accelerating mini-batch SARAH by step size rules Z Yang, Z Chen, C Wang Information Sciences 558, 157-173, 2021 | 20 | 2021 |
| Adaptive stochastic conjugate gradient for machine learning Z Yang Expert Systems with Applications 206, 117719, 2022 | 15 | 2022 |
| On the step size selection in variance-reduced algorithm for nonconvex optimization Z Yang Expert Systems with Applications 169, 114336, 2021 | 15 | 2021 |
| Large-scale machine learning with fast and stable stochastic conjugate gradient Z Yang Computers & Industrial Engineering 173, 108656, 2022 | 8 | 2022 |
| An accelerated stochastic variance-reduced method for machine learning problems Z Yang, Z Chen, C Wang Knowledge-Based Systems 198, 105941, 2020 | 8 | 2020 |
| Fast automatic step size selection for zeroth-order nonconvex stochastic optimization Z Yang Expert Systems with Applications 174, 114749, 2021 | 5 | 2021 |
| SARAH-M: A fast stochastic recursive gradient descent algorithm via momentum Z Yang Expert Systems with Applications 238, 122295, 2024 | 3 | 2024 |
| Adaptive powerball stochastic conjugate gradient for large-scale learning Z Yang IEEE Transactions on Big Data, 2023 | 3 | 2023 |
| Adaptive step size rules for stochastic optimization in large-scale learning Z Yang, L Ma Statistics and Computing 33 (2), 45, 2023 | 3* | 2023 |
| Variance reduced optimization with implicit gradient transport Z Yang Knowledge-Based Systems 212, 106626, 2021 | 2 | 2021 |
| Powered stochastic optimization with hypergradient descent for large-scale learning systems Z Yang, X Li Expert Systems with Applications 238, 122017, 2024 | 1 | 2024 |
| Painless Stochastic Conjugate Gradient for Large-Scale Machine Learning Z Yang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Improved powered stochastic optimization algorithms for large-scale machine learning Z Yang Journal of Machine Learning Research 24 (241), 1-29, 2023 | 1 | 2023 |
| The Powerball Method With Biased Stochastic Gradient Estimation for Large-Scale Learning Systems Z Yang IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning H Zhang, Z Yang arXiv preprint arXiv:2405.12228, 2024 | | 2024 |
| Stochastic variance reduced gradient with hyper-gradient for non-convex large-scale learning Z Yang Applied Intelligence 53 (23), 28627-28641, 2023 | | 2023 |
