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I am a first-year PhD student of LONG Group, Hong Kong University of Science and Technology, fortunately advised by Prof. Long Chen. Before that, I obtained my Master Degree from NTU (Singapore) and Bachelor Degree from Sichuan University. I am fortunate to have internships at WeChat, Tiktok and 4Paradigm. Email: scuwyh2000@gmail.com / ywangtg@connect.ust.hk |
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My current research focuses on Diffusion for Perception, specifically, tapping the potential of visual-language knowledge contained in pre-trained diffusion models in discriminative tasks. For the task-wise perspective, I mainly focus on open-world scene understanding and relation perception. Meanwhile, I am broadly interested in Computer Vision, Multimodal Learning, and Machine Learning topics. |
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Yanghao Wang, Long Chen arxiv, 2024 paper 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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Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang ICCV, 2023 paper / 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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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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