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06/28/2023
Diversity Maximized Scheduling in RoadSide Units for Traffic Monitoring Applications
This paper develops an optimal data aggregation policy for learning-base...
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06/23/2023
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach
With more than 32 buildings, there is an urgent need to revisit traditio...
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06/04/2023
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
This paper proposes a distributed version of Determinant Point Processin...
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04/19/2023
Knowledge Distillation Under Ideal Joint Classifier Assumption
Knowledge distillation is a powerful technique to compress large neural ...
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04/09/2023
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
In some practical learning tasks, such as traffic video analysis, the nu...
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11/16/2022
Nano-Resolution Visual Identifiers Enable Secure Monitoring in Next-Generation Cyber-Physical Systems
Today's supply chains heavily rely on cyber-physical systems such as int...
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11/07/2022
Fast Key Points Detection and Matching for Tree-Structured Images
This paper offers a new authentication algorithm based on image matching...
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05/25/2022
DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography
Digital holography is a 3D imaging technique by emitting a laser beam wi...
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01/27/2022
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study
Driving safety analysis has recently witnessed unprecedented results due...
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12/23/2020
Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention
Convolutional layers in Artificial Neural Networks (ANN) treat the chann...
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04/26/2020
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data
Few-shot relation classification describes a circumstance where a model ...
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04/25/2020
Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning
Digital in-line holography is commonly used to reconstruct 3D images fro...
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04/24/2020