87 citations · 197 across the 10 of their papers we have counts for
10 papers
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
Xiwen Chen, Huayu Li, Rahul Amin +1
This paper proposes a distributed version of Determinant Point Processing (DPP) inference to enhance multi-source data diversification under limited communication bandwidth. DPP is…
Knowledge Distillation Under Ideal Joint Classifier Assumption
Huayu Li, Xiwen Chen, Gregory Ditzler +2
Knowledge distillation constitutes a potent methodology for condensing substantial neural networks into more compact and efficient counterparts. Within this context, softmax regres…
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
Xiwen Chen, Huayu Li, Rahul Amin +1
In some practical learning tasks, such as traffic video analysis, the number of available training samples is restricted by different factors, such as limited communication bandwid…
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit
Ping Chang, Huayu Li, Stuart F. Quan +4
Background and Objective: Vital sign monitoring in the Intensive Care Unit (ICU) is crucial for enabling prompt interventions for patients. This underscores the need for an accurat…
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
Huayu Li, Gregory Ditzler, Janet Roveda +1
Objective: Electrocardiogram (ECG) signals commonly suffer noise interference, such as baseline wander. High-quality and high-fidelity reconstruction of the ECG signals is of great…
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi, Xiwen Chen, Huayu Li +4
This paper explores Deep Learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasizing driving safety for both Autonomous Vehicles (A…
Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention
Huayu Li, Haiyu Wu, Xiwen Chen +2
Convolutional layers in Artificial Neural Networks (ANN) treat the channel features equally without feature selection flexibility. While using ANNs for image denoising in real-worl…
Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning
Huayu Li, Xiwen Chen, Haiyu Wu +3
Digital in-line holography is commonly used to reconstruct 3D images from 2D holograms for microscopic objects. One of the technical challenges that arise in the signal processing…
Channel Locality Block: A Variant of Squeeze-and-Excitation
Huayu Li
Attention mechanism is a hot spot in deep learning field. Using channel attention model is an effective method for improving the performance of the convolutional neural network. Sq…
Cognitive Consistency Routing Algorithm of Capsule-network
Huayu Li
Artificial Neural Networks (ANNs) are computational models inspired by the central nervous system (especially the brain) of animals and are used to estimate or generate unknown app…