most citedLabel distribution learning via label correlation grid

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2022

TabMixer: Excavating Label Distribution Learning with Small-scale Features

Weiyi Cong, Zhuoran Zheng, Xiuyi Jia

Label distribution learning (LDL) differs from multi-label learning which aims at representing the polysemy of instances by transforming single-label values into descriptive degree…

cs.LG20221 cited

Label distribution learning via label correlation grid

Qimeng Guo, Zhuoran Zheng, Xiuyi Jia +1

Label distribution learning can characterize the polysemy of an instance through label distributions. However, some noise and uncertainty may be introduced into the label space whe…

cs.LG2022

Label Distribution Learning via Implicit Distribution Representation

Zhuoran Zheng, Xiuyi Jia

In contrast to multi-label learning, label distribution learning characterizes the polysemy of examples by a label distribution to represent richer semantics. In the learning proce…

cs.CV20221 cited

Zero-Reference Image Restoration for Under-Display Camera of UAV

Zhuoran Zheng, Xiuyi Jia, Yunliang Zhuang

The exposed cameras of UAV can shake, shift, or even malfunction under the influence of harsh weather, while the add-on devices (Dupont lines) are very vulnerable to damage. We can…

cs.LG2019

Constrained Bilinear Factorization Multi-view Subspace Clustering

Qinghai Zheng, Jihua Zhu, Zhiqiang Tian +3

Multi-view clustering is an important and fundamental problem. Many multi-view subspace clustering methods have been proposed, and most of them assume that all views share a same c…