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Yonghong Tian
Publications - 37
Citations - 239
Yonghong Tian is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 1 publications receiving 6 citations.
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Proceedings ArticleDOI
Masked Autoencoders for Point Cloud Self-supervised Learning
TL;DR: A simple architecture entirely based on standard Transformers can surpass dedicated Transformer models from supervised learning and inspires the feasibility of applying unified architectures from languages and images to the point cloud.
Journal ArticleDOI
Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist
TL;DR: It is proved that the proposed optimal low-rank prior is very flexible for various HSI restoration problems including denoising, deblurring, inpainting, and destriping.
Proceedings ArticleDOI
Spikformer: When Spiking Neural Network Meets Transformer
TL;DR: These investigations pave the way for further research on transformer-based SNNs models and neuromorphic datasets and with directly training from scratch, Spiking Transformer outperforms the state-of-the-art SNNS models.
Journal ArticleDOI
Attention Spiking Neural Networks
TL;DR: This work lights up SNN’s potential as a general backbone to support various applications in the field of SNN research, with a great balance between effectiveness and efficiency.
Proceedings ArticleDOI
Training-free Transformer Architecture Search
TL;DR: Experimental results demonstrate that the TF- TAS achieves a competitive performance against the state-of-the-art manually or automatically design ViT architectures, and it promotes the searching efficiency in ViT search space greatly.