Zhangchen Zhou

According to our database, Zhangchen Zhou authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Adaptive Preconditioners Trigger Loss Spikes in Adam.

Zhiwei Bai, Zhangchen Zhou, Jiajie Zhao, Xiaolong Li, Zhiyu Li, Feiyu Xiong, Hongkang Yang, Yaoyu Zhang, Zhi-Qin John Xu

CoRR, June, 2025

Scalable Complexity Control Facilitates Reasoning Ability of LLMs.

Liangkai Hang, Junjie Yao, Zhiwei Bai, Tianyi Chen, Yang Chen, Rongjie Diao, Hezhou Li, Pengxiao Lin, Zhiwei Wang, Cheng Xu, Zhongwang Zhang, Zhangchen Zhou, Zhiyu Li, Zehao Lin, Kai Chen, Feiyu Xiong, Yaoyu Zhang, Weinan E, Hongkang Yang, Zhi-Qin John Xu

CoRR, May, 2025

An overview of condensation phenomenon in deep learning.

Zhi-Qin John Xu, Yaoyu Zhang, Zhangchen Zhou

CoRR, April, 2025

2024

A rationale from frequency perspective for grokking in training neural network.

Zhangchen Zhou, Yaoyu Zhang, Zhi-Qin John Xu

CoRR, 2024

Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation.

Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu

CoRR, 2024

Anchor function: a type of benchmark functions for studying language models.

Zhongwang Zhang, Zhiwei Wang, Junjie Yao, Zhangchen Zhou, Xiaolong Li, Weinan E, 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

Phase Diagram of Initial Condensation for Two-layer Neural Networks.

Zhengan Chen, Yuqing Li, Tao Luo, Zhangchen Zhou, Zhi-Qin John Xu

CoRR, 2023