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Zhanpeng Zhou
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2020 – today
- 2026
- [c14]Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan:
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. AAAI 2026: 28400-28408 - [i21]Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu:
Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws. CoRR abs/2602.14208 (2026) - [i20]Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan:
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. CoRR abs/2603.10397 (2026) - [i19]Xuan Cui, Huiyue Li, Run Zeng, Yunfei Zhao, Jinrui Qian, Wei Duan, Bo Liu, Zhanpeng Zhou:
IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring. CoRR abs/2603.13792 (2026) - [i18]Jianhao Huang, Zhanpeng Zhou, Renqiu Xia, Baharan Mirzasoleiman, Weijie Su, Wei Huang:
How Transformers Learn to Plan via Multi-Token Prediction. CoRR abs/2604.11912 (2026) - 2025
- [c13]Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. ICLR 2025 - [c12]Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan:
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. ICLR 2025 - [c11]Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu:
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. ICML 2025 - [c10]Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki:
On the Role of Label Noise in the Feature Learning Process. ICML 2025 - [c9]Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan:
SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. IJCNN 2025: 1-8 - [i17]Jinbo Wang
, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu:
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. CoRR abs/2502.19002 (2025) - [i16]Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan:
On the Cone Effect in the Learning Dynamics. CoRR abs/2503.16316 (2025) - [i15]Zhanpeng Zhou, Yongyi Yang, Mahito Sugiyama, Junchi Yan:
New Evidence of the Two-Phase Learning Dynamics of Neural Networks. CoRR abs/2505.13900 (2025) - [i14]Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki:
On the Role of Label Noise in the Feature Learning Process. CoRR abs/2505.18909 (2025) - [i13]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
On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR abs/2505.20246 (2025) - [i12]Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan:
SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. CoRR abs/2506.18135 (2025) - [i11]Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang:
A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning. CoRR abs/2507.06542 (2025) - [i10]Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen:
Efficient Hyperparameter Tuning via Trajectory Invariance Principle. CoRR abs/2509.25049 (2025) - 2024
- [j4]Zhe Wei, Zhanpeng Zhou:
A Combined Filtering Method for ZigBee Indoor Distance Measurement. Sensors 24(10): 3164 (2024) - [j3]Zhe Wei, Zhanpeng Zhou, Shuyan Yu, Jialei Chen:
Enhanced Indoor Positioning Using RSSI and Time-Distributed Auto Encoder-Gated Recurrent Unit Model. Sensors 24(15): 4815 (2024) - [c8]Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang:
Batch Normalization Is Blind to the First and Second Derivatives of the Loss. AAAI 2024: 20010-20018 - [c7]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR 2024 - [c6]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML 2024: 61854-61884 - [i9]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR abs/2402.03660 (2024) - [i8]Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. CoRR abs/2410.04870 (2024) - [i7]Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan:
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training. CoRR abs/2410.10373 (2024) - 2023
- [c5]Zhanpeng Zhou
Privacy Protection and Data Security for Big Data Encryption: A Review. ICBAR 2023: 1087-1091 - [c4]Jie Ren, Zhanpeng Zhou
Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? ICLR 2023 - [c3]Ling Tang, Wen Shen, Zhanpeng Zhou
Defects of Convolutional Decoder Networks in Frequency Representation. ICML 2023: 33758-33791 - [c2]Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu:
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. NeurIPS 2023 - [i6]Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu:
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. CoRR abs/2307.08286 (2023) - [i5]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR abs/2310.06756 (2023) - 2022
- [i4]Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Quanshi Zhang:
Batch Normalization Is Blind to the First and Second Derivatives of the Loss. CoRR abs/2205.15146 (2022) - [i3]Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang:
Defects of Convolutional Decoder Networks in Frequency Representation. CoRR abs/2210.09020 (2022) - 2021
- [c1]Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang:
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. NeurIPS 2021: 3797-3810 - [i2]Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang:
Game-theoretic Understanding of Adversarially Learned Features. CoRR abs/2103.07364 (2021) - [i1]Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang:
Learning Baseline Values for Shapley Values. CoRR abs/2105.10719 (2021)
2010 – 2019
- 2017
- [j2]Wanzeng Kong
Assessment of driving fatigue based on intra/inter-region phase synchronization. Neurocomputing 219: 474-482 (2017) - 2013
- [j1]Wanzeng Kong, Zhanpeng Zhou, Sanqing Hu, Jianhai Zhang, Fabio Babiloni
Automatic and Direct Identification of Blink Components from Scalp EEG. Sensors 13(8): 10783-10801 (2013)
Coauthor Index
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