Yingjun Du

Orcid: 0000-0001-7537-6457

According to our database1, Yingjun Du authored at least 24 papers between 2009 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder.
IEEE Trans. Cybern., April, 2024

MetaKernel: Learning Variational Random Features With Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Prompt Diffusion Robustifies Any-Modality Prompt Learning.
CoRR, 2024

IPO: Interpretable Prompt Optimization for Vision-Language Models.
CoRR, 2024

Training-Free Semantic Segmentation via LLM-Supervision.
CoRR, 2024

2023
Learning to Learn With Variational Inference for Cross-Domain Image Classification.
IEEE Trans. Multim., 2023

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks.
Proceedings of the International Conference on Machine Learning, 2023

Memory-augmented Variational Adaptation for Online Few-shot Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EMO: Episodic Memory Optimization for Few-Shot Meta-Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Variational Abnormal Behavior Detection With Motion Consistency.
IEEE Trans. Image Process., 2022

Hierarchical Variational Memory for Few-shot Learning Across Domains.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Learning to Adapt With Memory for Probabilistic Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2021

MetaNorm: Learning to Normalize Few-Shot Batches Across Domains.
Proceedings of the 9th International Conference on Learning Representations, 2021

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Conditional Variational Image Deraining.
IEEE Trans. Image Process., 2020

Calibrated Multivariate Regression Networks.
IEEE Trans. Circuits Syst. Video Technol., 2020

Variational Image Deraining.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning to Learn Variational Semantic Memory.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Learn Kernels with Variational Random Features.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Learn with Variational Information Bottleneck for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2009
A Study of GIS Development Based on KML and Google Earth.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009


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