1 citations · 1 across the 4 of their papers we have counts for
4 papers
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery
Jie Feng, Haohan Zou, Yuanyuan Shi
We propose CoNSAL (Combining Neural networks and Symbolic regression for Analytical Lyapunov function) to construct analytical Lyapunov functions for nonlinear dynamic systems. Thi…
Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia
Jie Feng, Manasa Muralidharan, Rodrigo Henriquez-Auba +2
The increasing penetration of converter-based renewable generation has resulted in faster frequency dynamics, and low and variable inertia. As a result, there is a need for frequen…
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction
Jie Feng, Ke Wei, Jinchi Chen
Natural policy gradient (NPG) and its variants are widely-used policy search methods in reinforcement learning. Inspired by prior work, a new NPG variant coined NPG-HM is developed…
Learning to Rank Binary Codes
Jie Feng, Wei Liu, Yan Wang
Binary codes have been widely used in vision problems as a compact feature representation to achieve both space and time advantages. Various methods have been proposed to learn dat…