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Hanxu Zhou
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2020 – today
- 2024
- [i7]Hanxu Zhou, Yuan Zhang, Guangjie Leng, Ruofan Wang, Zhi-Qin John Xu:
Understanding Time Series Anomaly State Detection through One-Class Classification. CoRR abs/2402.02007 (2024) - [i6]Ruofan Wang, Xingjun Ma, Hanxu Zhou, Chuanjun Ji, Guangnan Ye, Yu-Gang Jiang:
White-box Multimodal Jailbreaks Against Large Vision-Language Models. CoRR abs/2405.17894 (2024) - 2023
- [i5]Zhangchen Zhou, Hanxu Zhou, Yuqing Li, Zhi-Qin John Xu:
Understanding the Initial Condensation of Convolutional Neural Networks. CoRR abs/2305.09947 (2023) - 2022
- [c3]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. NeurIPS 2022 - [c2]Hanxu Zhou, Qixuan Zhou, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu:
Towards Understanding the Condensation of Neural Networks at Initial Training. NeurIPS 2022 - [i4]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 abs/2205.12101 (2022) - 2021
- [c1]Zhiqin John Xu, Hanxu Zhou:
Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster. AAAI 2021: 10541-10550 - [i3]Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang:
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training. CoRR abs/2105.11686 (2021) - [i2]Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu:
A variance principle explains why dropout finds flatter minima. CoRR abs/2111.01022 (2021) - 2020
- [i1]Zhi-Qin John Xu, Hanxu Zhou:
Deep frequency principle towards understanding why deeper learning is faster. CoRR abs/2007.14313 (2020)
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last updated on 2024-06-24 20:14 CEST by the dblp team
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