Zhanpeng Zhou - RankMe

38 papers A* 12B 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws. CoRR Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu
2026	J	`jnl`	IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring. CoRR Xuan Cui, Huiyue Li, Run Zeng, Yunfei Zhao, Jinrui Qian, Wei Duan, Bo Liu, Zhanpeng Zhou
2026	A*	`conf`	On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. AAAI Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2026	J	`jnl`	On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. CoRR Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2025	J	`jnl`	A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning. CoRR Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang
2025	J	`jnl`	Efficient Hyperparameter Tuning via Trajectory Invariance Principle. CoRR Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen
2025	J	`jnl`	New Evidence of the Two-Phase Learning Dynamics of Neural Networks. CoRR Zhanpeng Zhou, Yongyi Yang, Mahito Sugiyama, Junchi Yan
2025	J	`jnl`	On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR 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
2025	J	`jnl`	On the Cone Effect in the Learning Dynamics. CoRR Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan
2025	A*	`conf`	On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. ICLR Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
2025	A*	`conf`	On the Role of Label Noise in the Feature Learning Process. ICML Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
2025	J	`jnl`	On the Role of Label Noise in the Feature Learning Process. CoRR Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
2025	B	`conf`	SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. IJCNN Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan
2025	J	`jnl`	SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. CoRR Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan
2025	A*	`conf`	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. ICLR Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
2025	A*	`conf`	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. ICML Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
2025	J	`jnl`	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. CoRR Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
2024	J	`jnl`	A Combined Filtering Method for ZigBee Indoor Distance Measurement. Sensors Zhe Wei, Zhanpeng Zhou
2024	A*	`conf`	Batch Normalization Is Blind to the First and Second Derivatives of the Loss. AAAI Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang
2024	J	`jnl`	Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
2024	J	`jnl`	Enhanced Indoor Positioning Using RSSI and Time-Distributed Auto Encoder-Gated Recurrent Unit Model. Sensors Zhe Wei, Zhanpeng Zhou, Shuyan Yu, Jialei Chen
2024	A*	`conf`	Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR Yiting Chen, Zhanpeng Zhou, Junchi Yan
2024	A*	`conf`	On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
2024	J	`jnl`	On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. CoRR Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
2024	J	`jnl`	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training. CoRR Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
2023	A*	`conf`	Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? ICLR Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang
2023	A*	`conf`	Defects of Convolutional Decoder Networks in Frequency Representation. ICML Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang
2023	A*	`conf`	Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. NeurIPS Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
2023	J	`jnl`	Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. CoRR Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
2023	J	`jnl`	Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR Yiting Chen, Zhanpeng Zhou, Junchi Yan
2023	—	`conf`	Privacy Protection and Data Security for Big Data Encryption: A Review. ICBAR Zhanpeng Zhou, Zhe Wei, Fang Wang
2022	J	`jnl`	Batch Normalization Is Blind to the First and Second Derivatives of the Loss. CoRR Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Quanshi Zhang
2022	J	`jnl`	Defects of Convolutional Decoder Networks in Frequency Representation. CoRR Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang
2021	J	`jnl`	Game-theoretic Understanding of Adversarially Learned Features. CoRR Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang
2021	J	`jnl`	Learning Baseline Values for Shapley Values. CoRR Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang
2021	A*	`conf`	Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. NeurIPS Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
2017	J	`jnl`	Assessment of driving fatigue based on intra/inter-region phase synchronization. Neurocomputing Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini
2013	J	`jnl`	Automatic and Direct Identification of Blink Components from Scalp EEG. Sensors Wanzeng Kong, Zhanpeng Zhou, Sanqing Hu, Jianhai Zhang, Fabio Babiloni, Guojun Dai