Jie Feng

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Yuanyuan ShiAssistant Professor, UCSDVerified email at ucsd.edu
Runjian ChenThe University of Hong KongVerified email at connect.hku.hk
Adam WiermanCarl F Braun Professor of Computing+Mathematical Sciences, CaltechVerified email at caltech.edu
Guannan QuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Steven H. LowGilloon Professor of Computing+Mathematical Sciences, Electrical Engineering, CaltechVerified email at caltech.edu
Jorge CortesProfessor of Mechanical and Aerospace Engineering, University of California, San DiegoVerified email at ucsd.edu
Wenqi CuiUniversity of WashingtonVerified email at uw.edu
Patricia Hidalgo-GonzalezAssistant Professor, UC San DiegoVerified email at berkeley.edu
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu

Jie Feng

University of California, San Diego

Verified email at ucsd.edu

Optimization Deep Learning Machine Learning Power System


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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

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