Yan Liu Computational Scientist Contact YANLIU@ORNL.GOV All Publications Energy performance evaluation of the ASHRAE Guideline 36 control and reinforcement learning–based control using field measu... Enhancing Power Distribution System Resilience with Fusion-GNN: A Dynamic Graph Representation Learning Approach A Transfer Learning Strategy for Improving the Data Efficiency of Deep Reinforcement Learning Control in Smart Buildings Online Heatmap Generation with Both High and Low Weights A GPU-Accelerated Population Generation, Sorting, and Mutation Kernel for an Optimization-Based Causal Inference Model Clean Energy Technology Applications on US Mine Land: Technical Analysis... Assessing Compatibility of Natural Gas Pipeline Materials with Hydrogen, CO2, and Ammonia An overview of visualization and visual analytics applications in water resources management Real-time GIS Programming and Geocomputation... A parallel evolutionary multiple-try metropolis Markov chain Monte Carlo algorithm for sampling spatial partitions Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation Mapping A spatially explicit evolutionary algorithm for the spatial partitioning problem Parallel Hybrid Metaheuristics with Distributed Intensification and Diversification for Large-scale Optimization in Big Data Statistical Analysis Key Links Curriculum Vitae Google Scholar ORCID Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Engineered Systems Section Computational Urban Sciences Group
Research Highlight Parallel Hybrid Metaheuristics with Distributed Intensification and Diversification for Large-scale Optimization in Big Data Statistical Analysis
