Research Interests
My current research focuses on Unified Models for Perception and Generation, specifically, how to promote the perception and generation to benefit from each other.
Meanwhile, I am broadly interested in Computer Vision, Multimodal Learning, and Machine Learning.
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Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
Yanghao Wang,
Long Chen
CVPR, 2025
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code
We propose a novel Diffusion-based Inversion Interpolation DA method called Diff-II, which can generate faithful and diverse samples to expand the original training set in data-scarce scenarios.
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Random Boxes Are Open-world Object Detectors
Yanghao Wang,
Zhongqi Yue, Xian-Sheng Hua,
Hanwang Zhang
ICCV, 2023
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code
We show that classifiers trained with random region proposals achieve state-of-the-art Open-world Object Detection with our designed matching score.
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CyberRel: Joint entity and relation extraction for cybersecurity concepts
Yongyan Guo,
Zhengyu Liu,
Cheng Huang,
Jiayong Liu,
Wangyuan Jing,
Ziwang Wang,
Yanghao Wang
ICICS, 2021, (Best Student Paper)
paper
We proposed CyberRel, a joint entity and relation extraction model for cyber-security concepts.
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Awards & Honors
- Excellent Graduate of Sichuan University (Bachelor's degree)
- Best Student Paper Award of ICICS 2021
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