Jie Feng
Orcid: 0000-0002-5049-9423Affiliations:
- University of California, San Diego, CA, USA
- Zhejiang University, College of Control Science and Engineering, Zhejiang, China (former)
According to our database1,
Jie Feng authored at least 20 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
CoRR, February, 2026
Stability Constrained Voltage Control in Distribution Grids With Arbitrary Communication Infrastructure.
IEEE Trans. Smart Grid, January, 2026
RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning.
CoRR, January, 2026
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches.
CoRR, December, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control.
IEEE Trans. Control. Netw. Syst., September, 2024
Stability-Constrained Learning for Frequency Regulation in Power Grids With Variable Inertia.
IEEE Control. Syst. Lett., 2024
CoRR, 2024
Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia.
CoRR, 2024
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery.
CoRR, 2024
2023
Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach With Safe Gradient Flow.
IEEE Control. Syst. Lett., 2023
2022
MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting.
Pattern Recognit. Lett., 2022
Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems.
CoRR, 2022
2021
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.
Neurocomputing, 2021
2020
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.
CoRR, 2020
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting.
CoRR, 2020
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.
CoRR, 2020
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.
CoRR, 2020
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.
CoRR, 2020