Jie Feng - RankMe

24 papers A* 2Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients. AAAI Yuexin Bian, Jie Feng, Yuanyuan Shi
2026	J	`jnl`	Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes. CoRR Jie Feng, Yuanyuan Shi, Deepjyoti Deka
2026	J	`jnl`	RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning. CoRR Yuexin Bian, Jie Feng, Tao Wang, Yijiang Li, Sicun Gao, Yuanyuan Shi
2026	J	`jnl`	Stability Constrained Voltage Control in Distribution Grids With Arbitrary Communication Infrastructure. IEEE Trans. Smart Grid Zhenyi Yuan, Jie Feng, Yuanyuan Shi, Jorge Cortés
2025	A*	`conf`	Analytical Lyapunov Function Discovery: An RL-based Generative Approach. ICML Haohan Zou, Jie Feng, Hao Zhao, Yuanyuan Shi
2025	J	`jnl`	Analytical Lyapunov Function Discovery: An RL-based Generative Approach. CoRR Haohan Zou, Jie Feng, Hao Zhao, Yuanyuan Shi
2025	J	`jnl`	Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches. CoRR S. Sivaranjani, Yuanyuan Shi, Nikolay Atanasov, Thai Duong, Jie Feng, Tim Martin, Yuezhu Xu, Vijay Gupta, Frank Allgöwer
2025	J	`jnl`	Stability Constrained Voltage Control in Distribution Grids with Arbitrary Communication Infrastructure. CoRR Zhenyi Yuan, Jie Feng, Yuanyuan Shi, Jorge Cortés
2024	J	`jnl`	Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery. CoRR Jie Feng, Haohan Zou, Yuanyuan Shi
2024	J	`jnl`	Convergence Guarantees for Differentiable Optimization-based Control Policy. CoRR Yuexin Bian, Jie Feng, Yuanyuan Shi
2024	J	`jnl`	Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia. CoRR Jie Feng, Wenqi Cui, Jorge Cortés, Yuanyuan Shi
2024	J	`jnl`	Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control. IEEE Trans. Control. Netw. Syst. Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2024	J	`jnl`	Stability-Constrained Learning for Frequency Regulation in Power Grids With Variable Inertia. IEEE Control. Syst. Lett. Jie Feng, Manasa Muralidharan, Rodrigo Henriquez-Auba, Patricia Hidalgo-Gonzalez, Yuanyuan Shi
2024	J	`jnl`	Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia. CoRR Jie Feng, Manasa Muralidharan, Rodrigo Henriquez-Auba, Patricia Hidalgo-Gonzalez, Yuanyuan Shi
2023	J	`jnl`	Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach With Safe Gradient Flow. IEEE Control. Syst. Lett. Jie Feng, Wenqi Cui, Jorge Cortés, Yuanyuan Shi
2023	J	`jnl`	Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach with Safe Gradient Flow. CoRR Jie Feng, Wenqi Cui, Jorge Cortés, Yuanyuan Shi
2022	J	`jnl`	MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. Pattern Recognit. Lett. Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren
2022	J	`jnl`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. CoRR Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2021	J	`jnl`	Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. Neurocomputing Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu
2020	J	`jnl`	Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. CoRR Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang
2020	J	`jnl`	Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang
2020	J	`jnl`	Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. CoRR Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang
2020	J	`jnl`	Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. CoRR Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song
2020	J	`jnl`	Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. CoRR Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang