| Activated gradients for deep neural networks M Liu, L Chen, X Du, L Jin, M Shang IEEE Transactions on Neural Networks and Learning Systems 34 (4), 2156-2168, 2021 | 179 | 2021 |
| Design and analysis of recurrent neural network models with non‐linear activation functions for solving time‐varying quadratic programming problems X Zhang, L Chen, S Li, P Stanimirović, J Zhang, L Jin CAAI Transactions on Intelligence Technology 6 (4), 394-404, 2021 | 39 | 2021 |
| Long short-term memory with activation on gradient C Qin, L Chen, Z Cai, M Liu, L Jin Neural Networks 164, 135-145, 2023 | 22 | 2023 |
| Zero stability well predicts performance of convolutional neural networks L Chen, L Jin, M Shang Proceedings of the AAAI conference on artificial intelligence 36 (6), 6268-6277, 2022 | 9 | 2022 |
| Collective neural dynamics for sparse motion planning of redundant manipulators without Hessian matrix inversion L Jin, J Zhao, L Chen, S Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 8 | 2024 |
| Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method D Su, L Chen, X Du, M Liu, L Jin Applied Soft Computing 149, 110992, 2023 | 7 | 2023 |
| Efficient Loss Landscape Reshaping for Convolutional Neural Networks L Chen, L Jin, M Shang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 2 | 2024 |
| Enhancing representation power of deep neural networks with negligible parameter growth for industrial applications L Chen, L Jin, M Shang, FY Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 1 | 2024 |