Multivariate time series forecasting with transfer entropy graph H Xu, Y Huang, Z Duan, X Wang, J Feng, P Song arXiv preprint arXiv:2005.01185, 10, 2020 | 58 | 2020 |
MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting Y Wang, Z Duan, Y Huang, H Xu, J Feng, A Ren Pattern Recognition Letters 153, 151-158, 2022 | 28* | 2022 |
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation H Xu, Z Duan, Y Wang, J Feng, R Chen, Q Zhang, Z Xu Neurocomputing 439, 348-362, 2021 | 27 | 2021 |
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning H Xu, R Chen, Y Bai, J Feng, Z Duan, K Luo, Y Sun, W Wang arXiv preprint arXiv:2005.07115, 2020 | 16* | 2020 |
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control J Feng, Y Shi, G Qu, SH Low, A Anandkumar, A Wierman IEEE Transactions on Control of Network Systems, 2022 | 15* | 2022 |
Parallel extraction of long-term trends and short-term fluctuation framework for multivariate time series forecasting Y Zhou, Z Duan, H Xu, J Feng, A Ren, Y Wang, X Wang arXiv preprint arXiv:2008.07730, 2020 | 6 | 2020 |
Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach with Safe Gradient Flow J Feng, W Cui, J Cortés, Y Shi IEEE Control Systems Letters 7, 2845-2850, 2023 | 3 | 2023 |
End-to-end optimized video compression with mv-residual prediction XJ Wu, Z Zhang, J Feng, L Zhou, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 2 | 2020 |
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery J Feng, H Zou, Y Shi arXiv preprint arXiv:2406.15675, 2024 | | 2024 |
Stability-Constrained Learning for Frequency Regulation in Power Grids With Variable Inertia J Feng, M Muralidharan, R Henriquez-Auba, P Hidalgo-Gonzalez, Y Shi IEEE Control Systems Letters, 2024 | | 2024 |