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05/18/2023
A framework for leveraging ChatGPT on programming tasks in energy systems
The rapid digitalization of energy sectors has led to a significant incr...
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04/18/2023
Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels
In the effort to achieve carbon neutrality through a decentralized elect...
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02/20/2023
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement
Monocular depth estimation plays a fundamental role in computer vision. ...
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02/16/2023
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
This work aims to estimate a high-quality depth map from a single RGB im...
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10/11/2022
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging
In the experimental sciences, statistical power analyses are often used ...
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05/19/2022
Multicast Scheduling for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method
Multicasting is an efficient technique to simultaneously transmit common...
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05/19/2022
Coexistence between Task- and Data-Oriented Communications: A Whittle's Index Guided Multi-Agent Reinforcement Learning Approach
We investigate the coexistence of task-oriented and data-oriented commun...
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05/19/2022
Joint Device Selection and Power Control for Wireless Federated Learning
This paper studies the joint device selection and power control scheme f...
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11/16/2021
NENet: Monocular Depth Estimation via Neural Ensembles
Depth estimation is getting a widespread popularity in the computer visi...
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02/09/2020
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction
Patients resuscitated from cardiac arrest (CA) face a high risk of neuro...
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08/24/2019