Showing 1–20 of 43 results
/ Date/ Name
Nov 8, 2019Transmission Switching Under Wind Uncertainty Using Linear Decision RulesNov 18, 2024Machine Learning-Assisted Distribution System Network Reconfiguration ProblemJun 28, 2024Virtual Context: Enhancing Jailbreak Attacks with Special Token InjectionSep 24, 2021Distributionally Robust Chance-Constrained Optimal Transmission Switching for Renewable IntegrationMar 30, 2026Learning to Retrieve from Agent TrajectoriesNov 26, 2023A Data-Driven Approach for High-Impedance Fault Localization in Distribution SystemsMay 9, 2024Machine Learning for Scalable and Optimal Load Shedding Under Power System ContingencyNov 14, 2024Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid OperationsFeb 6, 2024Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk MitigationOct 31, 2024Length-Induced Embedding Collapse in PLM-based ModelsMay 28, 2024Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback LoopMay 21, 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI AgentsApr 21, 2026DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open DataSep 8, 2025NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode ChoiceJul 25, 2024Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding ConstraintsNov 5, 2018False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility AnalysisSep 30, 2020Substation-Level Grid Topology Optimization Using Bus SplittingNov 23, 2021Scalable Learning for Optimal Load Shedding Under Power Grid Emergency OperationsNov 23, 2021Appliance Level Short-term Load Forecasting via Recurrent Neural NetworkOct 3, 2020Efficient Identification of Bus Split Events Using Synchrophasor Data