Hanxu Zhou

According to our database, Hanxu Zhou authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding Time Series Anomaly State Detection through One-Class Classification.

Hanxu Zhou, Yuan Zhang, Guangjie Leng, Ruofan Wang, Zhi-Qin John Xu

CoRR, 2024

White-box Multimodal Jailbreaks Against Large Vision-Language Models.

Ruofan Wang, Xingjun Ma, Hanxu Zhou, Chuanjun Ji, Guangnan Ye, Yu-Gang Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Understanding the Initial Condensation of Convolutional Neural Networks.

Zhangchen Zhou, Hanxu Zhou, Yuqing Li, Zhi-Qin John Xu

CoRR, 2023

2022

Towards Understanding the Condensation of Neural Networks at Initial Training.

Hanxu Zhou, Qixuan Zhou, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.

Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A variance principle explains why dropout finds flatter minima.

Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu

CoRR, 2021

Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training.

Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang

CoRR, 2021

Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster.

Zhiqin John Xu, Hanxu Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021