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Chengli Tan
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 8
2024
2015
Top Topics
2024
2015
Long Range
2024
2015
Generalization Bounds
2024
2015
Ensemble Learning
2024
2015
Partially Labeled
Top Venues
CoRR
IEEE Trans. Neural Networks Learn. Syst.
Comput. Vis. Image Underst.
ICCV
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Publications
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Chengli Tan
,
Jiangshe Zhang
,
Junmin Liu
,
Yicheng Wang
,
Yunda Hao
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy.
CoRR
(2024)
Chengli Tan
,
Jiang-She Zhang
,
Junmin Liu
Understanding Short-Range Memory Effects in Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
35 (8) (2024)
Zixiang Zhao
,
Jiangshe Zhang
,
Xiang Gu
,
Chengli Tan
,
Shuang Xu
,
Yulun Zhang
,
Radu Timofte
,
Luc Van Gool
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.
ICCV
(2023)
Shijie Li
,
Junmin Liu
,
Weilin Shen
,
Jianyong Sun
,
Chengli Tan
Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection.
Comput. Vis. Image Underst.
235 (2023)
Zixiang Zhao
,
Jiangshe Zhang
,
Xiang Gu
,
Chengli Tan
,
Shuang Xu
,
Yulun Zhang
,
Radu Timofte
,
Luc Van Gool
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.
CoRR
(2023)
Chengli Tan
,
Jiangshe Zhang
,
Junmin Liu
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion.
CoRR
(2022)
Hongtao Wang
,
Jiangshe Zhang
,
Chunxia Zhang
,
Zixiang Zhao
,
Chengli Tan
,
Zhiyu Yang
,
Weifeng Geng
Automatic Velocity Picking Using Unsupervised Ensemble Learning.
CoRR
(2022)
Chengli Tan
,
Jiangshe Zhang
,
Junmin Liu
Understanding Long Range Memory Effects in Deep Neural Networks.
CoRR
(2021)