Automatic and Direct Identification of Blink Components from Scalp EEG. - Wanzeng Kong; Zhanpeng Zhou; Sanqing Hu; Jianhai Zhang; Fabio Babiloni; Guojun Dai (Sensors, 2013)

Assessment of driving fatigue based on intra/inter-region phase synchronization. - Wanzeng Kong; Zhanpeng Zhou; Bei Jiang; Fabio Babiloni; Gianluca Borghini (Neurocomputing, 2017)

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. - Jie Ren 018; Die Zhang; Yisen Wang 001; Lu Chen; Zhanpeng Zhou; Yiting Chen 003; Xu Cheng 005; Xin Wang 108; Meng Zhou; Jie Shi; Quanshi Zhang (NeurIPS, 2021)

Game-theoretic Understanding of Adversarially Learned Features. - Jie Ren 018; Die Zhang; Yisen Wang 001; Lu Chen; Zhanpeng Zhou; Xu Cheng 005; Xin Wang 108; Yiting Chen 003; Jie Shi; Quanshi Zhang (CoRR, 2021)

Learning Baseline Values for Shapley Values. - Jie Ren 018; Zhanpeng Zhou; Qirui Chen; Quanshi Zhang (CoRR, 2021)

Batch Normalization Is Blind to the First and Second Derivatives of the Loss. - Zhanpeng Zhou; Wen Shen 002; Huixin Chen; Ling Tang 002; Quanshi Zhang (CoRR, 2022)

Privacy Protection and Data Security for Big Data Encryption: A Review. - Zhanpeng Zhou; Zhe Wei; Fang Wang 018 (ICBAR, 2023)

Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? - Jie Ren 018; Zhanpeng Zhou; Qirui Chen; Quanshi Zhang (ICLR, 2023)

Defects of Convolutional Decoder Networks in Frequency Representation. - Ling Tang 002; Wen Shen 002; Zhanpeng Zhou; Yuefeng Chen; Quanshi Zhang (ICML, 2023)

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. - Zhanpeng Zhou; Yongyi Yang; Xiaojiang Yang; Junchi Yan; Wei Hu (NeurIPS, 2023)

Batch Normalization Is Blind to the First and Second Derivatives of the Loss. - Zhanpeng Zhou; Wen Shen 002; Huixin Chen; Ling Tang 002; Yuefeng Chen; Quanshi Zhang (AAAI, 2024)

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. - Yiting Chen 003; Zhanpeng Zhou; Junchi Yan (ICLR, 2024)

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. - Zhanpeng Zhou; Zijun Chen; Yilan Chen 002; Bo Zhang 069; Junchi Yan (ICML, 2024)

Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. - Zhanpeng Zhou; Zijun Chen; Yilan Chen 002; Bo Zhang 069; Junchi Yan (CoRR, 2024)

A Combined Filtering Method for ZigBee Indoor Distance Measurement. - Zhe Wei; Zhanpeng Zhou (Sensors, 2024)

Enhanced Indoor Positioning Using RSSI and Time-Distributed Auto Encoder-Gated Recurrent Unit Model. - Zhe Wei; Zhanpeng Zhou; Shuyan Yu; Jialei Chen 006 (Sensors, 2024)

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. - Bingrui Li; Wei Huang 034; Andi Han; Zhanpeng Zhou; Taiji Suzuki; Jun Zhu; Jianfei Chen (ICLR, 2025)

Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. - Zhanpeng Zhou; Mingze Wang; Yuchen Mao; Bingrui Li; Junchi Yan (ICLR, 2025)

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. - Jinbo Wang 003; Mingze Wang; Zhanpeng Zhou; Junchi Yan; Weinan E; Lei Wu (CoRR, 2025)

On the Cone Effect in the Learning Dynamics. - Zhanpeng Zhou; Yongyi Yang; Jie Ren; Mahito Sugiyama; Junchi Yan (CoRR, 2025)

New Evidence of the Two-Phase Learning Dynamics of Neural Networks. - Zhanpeng Zhou; Yongyi Yang; Mahito Sugiyama; Junchi Yan (CoRR, 2025)

On the Role of Label Noise in the Feature Learning Process. - Andi Han; Wei Huang 034; Zhanpeng Zhou; Gang Niu 001; Wuyang Chen 001; Junchi Yan; Akiko Takeda; Taiji Suzuki (CoRR, 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; et al. (CoRR, 2025)

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. - Zijun Chen; Zhanpeng Zhou; Bo Zhang 069; Weinan Zhang 001; Xi Sun; Junchi Yan (CoRR, 2025)

A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning. - Tongtian Zhu; Tianyu Zhang; Mingze Wang; Zhanpeng Zhou; Can Wang (CoRR, 2025)