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
Neural Networks, 2024
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance.
CoRR, 2024
CoRR, 2024
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
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
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
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
CoRR, 2023
IEEE Access, 2023
Proceedings of the Myopic Maculopathy Analysis, 2023
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
CoRR, 2022
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
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
CoRR, 2020
IEEE Access, 2020
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020
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
Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020
2019
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019