Xiwen Chen

Orcid: 0000-0002-8006-4383

According to our database1, Xiwen Chen authored at least 43 papers between 2019 and 2024.

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Bibliography

2024
Knowledge distillation under ideal joint classifier assumption.
Neural Networks, 2024

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
CoRR, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
CoRR, 2024

Motor Focus: Ego-Motion Prediction with All-Pixel Matching.
CoRR, 2024

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation.
CoRR, 2024

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance.
CoRR, 2024

FLAME Diffuser: Grounded Wildfire Image Synthesis using Mask Guided Diffusion.
CoRR, 2024

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Few-shot link prediction with meta-learning for temporal knowledge graphs.
J. Comput. Des. Eng., March, 2023

Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation.
CoRR, 2023

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features.
CoRR, 2023

Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach.
CoRR, 2023

Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference.
CoRR, 2023

Knowledge Distillation Under Ideal Joint Classifier Assumption.
CoRR, 2023

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
CoRR, 2023

Network-Level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.
IEEE Access, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023

Prediction of Spherical Equivalent with Vanilla ResNet.
Proceedings of the Myopic Maculopathy Analysis, 2023

Diversity Maximized Scheduling in RoadSide Units for Traffic Monitoring Applications.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

2022
A stroke image recognition model based on 3D residual network and attention mechanism.
J. Intell. Fuzzy Syst., 2022

DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography.
CoRR, 2022

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review.
CoRR, 2022

Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.
CoRR, 2022

Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset.
IEEE Access, 2022

Nano-Resolution Visual Identifiers Enable Secure Monitoring in Next-Generation Cyber-Physical Systems.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Fast Key Points Detection and Matching for Tree-Structured Images.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Towards Boosting Channel Attention for Real Image Denoising: Sub-band Pyramid Attention.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Boosting Belief Propagation for LDPC Codes with Deep Convolutional Neural Network Predictors.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention.
CoRR, 2020

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data.
CoRR, 2020

Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning.
CoRR, 2020

ST<sup>2</sup>: Small-data Text Style Transfer via Multi-task Meta-Learning.
CoRR, 2020

Deep DIH: Single-Shot Digital In-Line Holography Reconstruction by Deep Learning.
IEEE Access, 2020

Glove detection system based on VGG-16 network.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Ultra-wideband Fingerprinting Positioning Based on Convolutional Neural Network.
Proceedings of the International Conference on Computer, 2020

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Safety Helmet Detection Algorithm based on Color and HOG Features.
Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020

2019
Aligning Sentences Between Comparable Texts of Different Styles.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019


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