Hanxu Zhou

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Understanding Time Series Anomaly State Detection through One-Class Classification.
CoRR
Hanxu Zhou, Yuan Zhang, Guangjie Leng, Ruofan Wang, Zhi-Qin John Xu
2024 A* conf
White-box Multimodal Jailbreaks Against Large Vision-Language Models.
ACM Multimedia
Ruofan Wang, Xingjun Ma, Hanxu Zhou, Chuanjun Ji, Guangnan Ye, Yu-Gang Jiang
2024 J jnl
White-box Multimodal Jailbreaks Against Large Vision-Language Models.
CoRR
Ruofan Wang, Xingjun Ma, Hanxu Zhou, Chuanjun Ji, Guangnan Ye, Yu-Gang Jiang
2023 J jnl
Understanding the Initial Condensation of Convolutional Neural Networks.
CoRR
Zhangchen Zhou, Hanxu Zhou, Yuqing Li, Zhi-Qin John Xu
2022 A* conf
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
NeurIPS
Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu
2022 J jnl
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
CoRR
Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu
2022 A* conf
Towards Understanding the Condensation of Neural Networks at Initial Training.
NeurIPS
Hanxu Zhou, Qixuan Zhou, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu
2021 J jnl
A variance principle explains why dropout finds flatter minima.
CoRR
Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu
2021 A* conf
Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster.
AAAI
Zhiqin John Xu, Hanxu Zhou
2021 J jnl
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training.
CoRR
Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang
2020 J jnl
Deep frequency principle towards understanding why deeper learning is faster.
CoRR
Zhi-Qin John Xu, Hanxu Zhou