Showing 1–20 of 22 results
/ Date/ Name
Nov 2, 2025FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUsAug 1, 2025Cued-Agent: A Collaborative Multi-Agent System for Automatic Cued Speech RecognitionJul 12, 2025Vertex-Guided Redundant Constraints Identification for Unit CommitmentJun 24, 2025Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe ExtractionJun 6, 2025Learning Design-Score Manifold to Guide Diffusion Models for Offline OptimizationNov 18, 2024Is Locational Marginal Price All You Need for Locational Marginal Emission?May 24, 2024Chance-Constrained Economic Dispatch with Flexible Loads and RESFeb 15, 2024Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing SystemDec 11, 2023Long-Term Carbon-Efficient Planning for Geographically Shiftable Resources: A Monte Carlo Tree Search ApproachMay 13, 2023Understanding and Improving Model Averaging in Federated Learning on Heterogeneous DataNov 16, 2022Bi-directional Digital Twin and Edge Computing in the MetaverseOct 18, 2022An Efficient Ratio Detector for Ambient Backscatter CommunicationSep 20, 2022IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement LearningAug 1, 2022Distributed Intelligence in Wireless NetworksJun 29, 2022Reconstruction of interactions in the ProtoDUNE-SP detector with PandoraMar 31, 2022Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural networkSep 3, 2021Pareto-Optimal Learning-Augmented Algorithms for Online Conversion ProblemsOct 1, 2020Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle ChargingMay 18, 2020Delay-Aware Scheduling over mmWave/Sub-6 Dual Interfaces: A Reinforcement Learning ApproachApr 20, 2020Mechanism Design for Online Resource Allocation: A Unified Approach