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06/28/2023
Graph Interpolation via Fast Fused-Gromovization
Graph data augmentation has proven to be effective in enhancing the gene...
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06/27/2023
Recurrent Neural Network-coupled SPAD TCSPC System for Real-time Fluorescence Lifetime Imaging
Fluorescence lifetime imaging (FLI) has been receiving increased attenti...
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12/18/2022
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
Reinforcement learning-based (RL-based) energy management strategy (EMS)...
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11/08/2022
Progress and summary of reinforcement learning on energy management of MPS-EV
The high emission and low energy efficiency caused by internal combustio...
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02/07/2022
Benchmarking Deep Models for Salient Object Detection
In recent years, deep network-based methods have continuously refreshed ...
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01/04/2022
Stability and Sample-based Approximations of Composite Stochastic Optimization Problems
Optimization under uncertainty and risk is indispensable in many practic...
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12/19/2021
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
In this paper, we present SSDNet, a novel deep learning approach for tim...
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11/27/2021
FQ-ViT: Fully Quantized Vision Transformer without Retraining
Network quantization significantly reduces model inference complexity an...
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03/12/2021
Bias Reduction in Sample-Based Optimization
We consider stochastic optimization problems which use observed data to ...
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11/01/2018
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions
Drug-drug interactions (DDIs) are a major cause of preventable hospitali...
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12/12/2017
