(2025) Riemannian ADMM for Binary Optimization
A Riemannian Manifold-Modified ADMM to Solve Large Scale/Distributed Binary Optimization Problems
(2025) Deep Reinforcement Learning-Enhanced Branch-and-Price for Drone Routing
Selecting sup-problmes in column generation wisely to boost convergence speed to exact solutions.
(2025) Distributed Optimization for Energy Trading Problems
A resilience-cost-oriented energy trading model for socially vulnerable community microgrids and the solution approach.
(2024) Benders Decomposition for Stochastic Microgrid Planning
Stochastic 20-year microgrid planning model with Benders Decomposition
(2024) Seq2Seq Attention for Power Demand Prediction
GRU-based Seq2Seq model with attention to predict three quantiles of residential power demand in Texas
(2023) ML Classification for Cardiovascular Risk Prediction
Course project: ML classifiers (RF, SVM, LR, LDA) predicted cardiovascular disease with 72% accuracy