|
I am a second-year PhD student of LONG Group, Hong Kong University of Science and Technology, fortunately advised by Prof. Long Chen. Before that, I obtained my M.S. degree from NTU (Singapore), where I was advised by Prof. Hanwang Zhang in Machine Reasoning and Learning Lab (MReal Lab). I got my B.S. degree from Sichuan University, advised by Prof. Cheng Huang. Email: scuwyh2000@gmail.com / ywangtg@connect.ust.hk |
|
|
|
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. Meanwhile, I am broadly interested in Computer Vision, Multimodal Learning, and Machine Learning. |
|
Yanghao Wang, Long Chen CVPR, 2025 paper / 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. |
|
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. |
|
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. |
|
|