no code implementations • 15 May 2022 • Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui
In this paper, we develop a ${{L_ {{1/2}}}} $-regularized nonlocal self-similarity (NSS) denoiser for CT reconstruction problem, which integrates low-rank approximation with group sparse coding (GSC) framework.
1 code implementation • 21 Sep 2020 • Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang
In particular, Neural Architecture Search (NAS) has seen significant attention throughout the AutoML research community, and has pushed forward the state-of-the-art in a number of neural models to address grid-like data such as texts and images.
no code implementations • 26 Dec 2019 • Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
The multi-label network nodes not only have multiple labels for each node, such labels are often highly correlated making existing methods ineffective or fail to handle such correlation for node representation learning.
Ranked #32 on
Multi-Label Classification
on MS-COCO
no code implementations • 26 Dec 2019 • Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
By using spectral-based graph convolution aggregation process, each node is allowed to concentrate more on the most determining neighborhood features aligned with the corresponding learning task.
no code implementations • 12 Oct 2019 • Yuqing Zhu, Jianxun Liu
Performance tuning can improve the system performance and thus enable the reduction of cloud computing resources needed to support an application.
1 code implementation • 10 Oct 2017 • Yuqing Zhu, Jianxun Liu, Mengying Guo, Yungang Bao, Wenlong Ma, Zhuoyue Liu, Kunpeng Song, Yingchun Yang
To help users tap the performance potential of systems, we present BestConfig, a system for automatically finding a best configuration setting within a resource limit for a deployed system under a given application workload.
Performance Databases Distributed, Parallel, and Cluster Computing Software Engineering
1 code implementation • 4 Aug 2017 • Yuqing Zhu, Jianxun Liu, Mengying Guo, Wenlong Ma, Yungang Bao
To support the variety of Big Data use cases, many Big Data related systems expose a large number of user-specifiable configuration parameters.
Distributed, Parallel, and Cluster Computing