Yanyu Xu

Orcid: 0000-0001-8926-7833

Affiliations:
  • Shandong University, Jinan, Shandong, China


According to our database1, Yanyu Xu authored at least 46 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Toward Effective Model Merging in Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., April, 2026

Test-time thinking: Reinforcement adaptation for multimodal LLM reasoning.
Expert Syst. Appl., 2026

RTS-LLM: Restoring time structure for time series forecasting with LLMs.
Expert Syst. Appl., 2026

2025
LexPro-1.0 Technical Report.
CoRR, March, 2025

Effective test-time personalization for federated semantic segmentation.
Expert Syst. Appl., 2025

Ad<sup>2</sup>Mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Diffusion-based Data Augmentation via Noise Concatenation for Chest X-Ray Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Learning Invariant Discriminative Patterns for Unified Anomaly Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SAC-B: Soft Actor-Critic with Bias for Suppressing Q-valueOverestimation in Off-Policy Reinforcement Learning.
Proceedings of the 2025 7th International Conference on Distributed Artificial Intelligence, 2025

AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
FCA-RAC: First Cycle Annotated Repetitive Action Counting.
CoRR, 2024

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Parameter-Efficient Fine-Tuning with Controls.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis.
Proceedings of the Computer Vision - ECCV 2024, 2024

Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal., December, 2023

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Spherical DNNs and Their Applications in 360$^\circ$∘ Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
CoRR, 2022

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

2021
SUNNet: A novel framework for simultaneous human parsing and pose estimation.
Neurocomputing, 2021

Partially-Supervised Learning for Vessel Segmentation in Ocular Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Accurate depth estimation from a hybrid event-RGB stereo setup.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Crowd Counting With Partial Annotations in an Image.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prior Based Human Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Layout-Guided Novel View Synthesis From a Single Indoor Panorama.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
SIRI: Spatial Relation Induced Network For Spatial Description Resolution.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Personalized Saliency and Its Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

PPGNet: Learning Point-Pair Graph for Line Segment Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Semantic Human Matting.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Saliency Detection in 360 ^\circ ∘ Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Gaze Prediction in Dynamic 360° Immersive Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Bi-Level Multi-column Convolutional Neural Networks for Facial Landmark Point Detection.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


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