Yuzhe Yang

Orcid: 0000-0001-9098-2105

Affiliations:
  • OPPO Research Institute, Shanghai, China


According to our database1, Yuzhe Yang authored at least 26 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Reproducibility Companion Paper: u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

2024
Multi-Level Transitional Contrast Learning for Personalized Image Aesthetics Assessment.
IEEE Trans. Multim., 2024

Coarse-to-Fine Image Aesthetics Assessment With Dynamic Attribute Selection.
IEEE Trans. Multim., 2024

Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment.
Pattern Recognit., 2024

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception.
CoRR, 2024

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Image Aesthetics Assessment With Attribute-Assisted Multimodal Memory Network.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Theme-Aware Visual Attribute Reasoning for Image Aesthetics Assessment.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Anchor-based knowledge embedding for image aesthetics assessment.
Neurocomputing, June, 2023

Knowledge-Guided Blind Image Quality Assessment With Few Training Samples.
IEEE Trans. Multim., 2023

Explainable and Generalizable Blind Image Quality Assessment via Semantic Attribute Reasoning.
IEEE Trans. Multim., 2023

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.
CoRR, 2023

CLIP Brings Better Features to Visual Aesthetics Learners.
CoRR, 2023

Technical Quality-Assisted Image Aesthetics Quality Assessment.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Attribute-assisted Multimodal Network for Image Aesthetics Assessment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Mixed Sample Augmentation for Online Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Hierarchical discrepancy learning for image restoration quality assessment.
Signal Process., 2022

Learning image aesthetic subjectivity from attribute-aware relational reasoning network.
Pattern Recognit. Lett., 2022

Online Distillation with Mixed Sample Augmentation.
CoRR, 2022

Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Psychology Inspired Model for Hierarchical Image Aesthetic Attribute Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Personalized Image Aesthetics Assessment with Rich Attributes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Distillation from the Last Mini-Batch for Consistency Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Blind Realistic Blur Assessment Based on Discrepancy Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

2019
Naturalness Preserved Image Aesthetic Enhancement with Perceptual Encoder Constraint.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019


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