Mengping Yang

Orcid: 0000-0003-1503-9621

According to our database1, Mengping Yang authored at least 14 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Attention Calibration for Disentangled Text-to-Image Personalization.
CoRR, 2024

2023
Semantic alignment with self-supervision for class incremental learning.
Knowl. Based Syst., December, 2023

Adaptive federated few-shot feature learning with prototype rectification.
Eng. Appl. Artif. Intell., November, 2023

ProtoGAN: Towards high diversity and fidelity image synthesis under limited data.
Inf. Sci., 2023

DFSGAN: Introducing editable and representative attributes for few-shot image generation.
Eng. Appl. Artif. Intell., 2023

Image Synthesis under Limited Data: A Survey and Taxonomy.
CoRR, 2023

Revisiting the Evaluation of Image Synthesis with GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Learning to Capture the Query Distribution for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Gravitation balanced multiple kernel learning for imbalanced classification.
Neural Comput. Appl., 2022

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Better Embedding and More Shots for Few-shot Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022


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