Wuyang Li

Orcid: 0000-0002-7338-9251

According to our database1, Wuyang Li authored at least 46 papers between 2015 and 2025.

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Bibliography

2025
LLM-Guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis.
IEEE Trans. Medical Imaging, August, 2025

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy.
CoRR, August, 2025

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering.
CoRR, June, 2025

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection.
CoRR, June, 2025

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography.
CoRR, May, 2025

Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation.
CoRR, March, 2025

EventVL: Understand Event Streams via Multimodal Large Language Model.
CoRR, January, 2025

InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment.
CoRR, 2024

GaussianStego: A Generalizable Stenography Pipeline for Generative 3D Gaussians Splatting.
CoRR, 2024

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
CoRR, 2024

Endora: Video Generation Models as Endoscopy Simulators.
CoRR, 2024

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LGS: A Light-Weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

[inline-graphic not available: see fulltext]Endora: Video Generation Models as Endoscopy Simulators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

SVP: Enhancing Security and Scalability for Metaverse Blockchain Through Integrating Stake in Voting-based Consensus Protocol.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Medical federated learning with joint graph purification for noisy label learning.
Medical Image Anal., December, 2023

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation.
IEEE Trans. Medical Imaging, September, 2023

SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection.
IEEE Trans. Multim., 2023

$\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Novel Scenes & Classes: Towards Adaptive Open-set Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adjustment and Alignment for Unbiased Open Set Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022

COVID-19 datasets: A brief overview.
Comput. Sci. Inf. Syst., 2022

Intervention & Interaction Federated Abnormality Detection with Noisy Clients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Towards Robust Adaptive Object Detection under Noisy Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
HTD: Heterogeneous Task Decoupling for Two-Stage Object Detection.
IEEE Trans. Image Process., 2021

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

2020
Deep Domain Decomposition Method: Elliptic Problems.
Proceedings of Mathematical and Scientific Machine Learning, 2020

2015
Analyzing cacheable Traffic for FTTH Users using Hadoop.
Proceedings of the 2nd International Conference on Information-Centric Networking, 2015


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