no code implementations • 8 Nov 2023 • Huayi Tang, Yong liu
In this paper, we develop data-dependent and algorithm-dependent generalization bounds for transductive learning algorithms in the context of information theory for the first time.
no code implementations • 6 Oct 2023 • Jingyu Liu, Huayi Tang, Yong liu
Graph Contrastive Learning (GCL) aims to learn node representations by aligning positive pairs and separating negative ones.
1 code implementation • 19 Sep 2023 • Jiawen Zhu, Huayi Tang, Zhi-Qi Cheng, Jun-Yan He, Bin Luo, Shihao Qiu, Shengming Li, Huchuan Lu
To address this, we propose a novel architecture called Darkness Clue-Prompted Tracking (DCPT) that achieves robust UAV tracking at night by efficiently learning to generate darkness clue prompts.
1 code implementation • 14 Jul 2023 • Chen Qian, Huayi Tang, Zhirui Yang, Hong Liang, Yong liu
Molecular property prediction has gained significant attention due to its transformative potential in multiple scientific disciplines.
no code implementations • 14 May 2023 • Huayi Tang, Yong liu
After that, we provide high probability bounds of generalization gap for popular GNNs.
no code implementations • CVPR 2022 • Huayi Tang, Yong liu
However, we observe that learning from data with more views is not guaranteed to achieve better clustering performance than from data with fewer views.
1 code implementation • CVPR 2022 • Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He
Our method learns different levels of features from the raw features, including low-level features, high-level features, and semantic labels/features in a fusion-free manner, so that it can effectively achieve the reconstruction objective and the consistency objectives in different feature spaces.
no code implementations • ICCV 2021 • Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
The prior of view-common variable obeys approximately discrete Gumbel Softmax distribution, which is introduced to extract the common cluster factor of multiple views.
1 code implementation • 28 Mar 2021 • Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu
To leverage the multi-view complementary information, we concatenate all views' embedded features to form the global features, which can overcome the negative impact of some views' unclear clustering structures.