Zhanpeng Zhou

According to our database, Zhanpeng Zhou authored at least 25 papers between 2013 and 2025.

Collaborative distances:

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

2025

A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning.

Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang

CoRR, July, 2025

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging.

Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan

CoRR, June, 2025

On Path to Multimodal Historical Reasoning: HistBench and HistAgent.

Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang

CoRR, May, 2025

On the Role of Label Noise in the Feature Learning Process.

Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki

CoRR, May, 2025

New Evidence of the Two-Phase Learning Dynamics of Neural Networks.

Zhanpeng Zhou, Yongyi Yang, Mahito Sugiyama, Junchi Yan

CoRR, May, 2025

On the Cone Effect in the Learning Dynamics.

Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan

CoRR, March, 2025

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training.

Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu

CoRR, February, 2025

Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training.

Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent.

Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Enhanced Indoor Positioning Using RSSI and Time-Distributed Auto Encoder-Gated Recurrent Unit Model.

Zhe Wei, Zhanpeng Zhou, Shuyan Yu, Jialei Chen

Sensors, August, 2024

A Combined Filtering Method for ZigBee Indoor Distance Measurement.

Zhe Wei, Zhanpeng Zhou

Sensors, May, 2024

Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm.

Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan

CoRR, 2024

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm.

Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory.

Yiting Chen, Zhanpeng Zhou, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Batch Normalization Is Blind to the First and Second Derivatives of the Loss.

Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity.

Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Defects of Convolutional Decoder Networks in Frequency Representation.

Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang

Proceedings of the International Conference on Machine Learning, 2023

Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?

Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Privacy Protection and Data Security for Big Data Encryption: A Review.

Zhanpeng Zhou, Zhe Wei, Fang Wang

Proceedings of the 2023 3rd International Conference on Big Data, 2023

2022

Batch Normalization Is Blind to the First and Second Derivatives of the Loss.

Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Quanshi Zhang

CoRR, 2022

2021

Learning Baseline Values for Shapley Values.

Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang

CoRR, 2021

Game-theoretic Understanding of Adversarially Learned Features.

Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang

CoRR, 2021

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness.

Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

Assessment of driving fatigue based on intra/inter-region phase synchronization.

Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini

Neurocomputing, 2017

2013

Automatic and Direct Identification of Blink Components from Scalp EEG.

Wanzeng Kong, Zhanpeng Zhou, Sanqing Hu, Jianhai Zhang, Fabio Babiloni, Guojun Dai

Sensors, 2013