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

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

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

CoRR, 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

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