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Hanxu Zhou
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 10
Top Topics
Training Phase
Neural Network
Single Layer
Back Propagation
Top Venues
CoRR
NeurIPS
AAAI
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Publications
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Hanxu Zhou
,
Yuan Zhang
,
Guangjie Leng
,
Ruofan Wang
,
Zhi-Qin John Xu
Understanding Time Series Anomaly State Detection through One-Class Classification.
CoRR
(2024)
Ruofan Wang
,
Xingjun Ma
,
Hanxu Zhou
,
Chuanjun Ji
,
Guangnan Ye
,
Yu-Gang Jiang
White-box Multimodal Jailbreaks Against Large Vision-Language Models.
CoRR
(2024)
Zhangchen Zhou
,
Hanxu Zhou
,
Yuqing Li
,
Zhi-Qin John Xu
Understanding the Initial Condensation of Convolutional Neural Networks.
CoRR
(2023)
Hanxu Zhou
,
Qixuan Zhou
,
Zhenyuan Jin
,
Tao Luo
,
Yaoyu Zhang
,
Zhi-Qin John Xu
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
CoRR
(2022)
Hanxu Zhou
,
Qixuan Zhou
,
Tao Luo
,
Yaoyu Zhang
,
Zhi-Qin J. Xu
Towards Understanding the Condensation of Neural Networks at Initial Training.
NeurIPS
(2022)
Hanxu Zhou
,
Qixuan Zhou
,
Zhenyuan Jin
,
Tao Luo
,
Yaoyu Zhang
,
Zhi-Qin J. Xu
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
NeurIPS
(2022)
Zhiqin John Xu
,
Hanxu Zhou
Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster.
AAAI
(2021)
Zhongwang Zhang
,
Hanxu Zhou
,
Zhi-Qin John Xu
A variance principle explains why dropout finds flatter minima.
CoRR
(2021)
Zhi-Qin John Xu
,
Hanxu Zhou
,
Tao Luo
,
Yaoyu Zhang
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training.
CoRR
(2021)
Zhi-Qin John Xu
,
Hanxu Zhou
Deep frequency principle towards understanding why deeper learning is faster.
CoRR
(2020)