Zheng Chen

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All published works

Action	Title	Year	Authors
+ PDF Chat	Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision	2025	Aman Urumbekov Zheng Chen
+ PDF Chat	FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting	2024	Xihao Piao Zheng Chen Yushun Dong Yasuko Matsubara Yasushi Sakurai
+ PDF Chat	Fredformer: Frequency Debiased Transformer for Time Series Forecasting	2024	Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai
+ PDF Chat	BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendations	2024	Xihao Piao Pei Gao Zheng Chen Lingwei Zhu Yasuko Matsubara Yasushi Sakurai Jimeng Sun
+ PDF Chat	Automated Sleep Staging via Parallel Frequency-Cut Attention	2023	Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura Naoaki Ono Md. Altaf-Ul-Amin Shigehiko Kanaya Ming Huang
+ PDF Chat	Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization	2023	Zheng Chen Lingwei Zhu Ziwei Yang Takashi Matsubara
+ PDF Chat	Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data	2022	Ziwei Yang Lingwei Zhu Zheng Chen Ming Huang Naoaki Ono Md. Altaf‐Ul‐Amin Shigehiko Kanaya
+	Automated Sleep Staging via Parallel Frequency-Cut Attention	2022	Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura Naoaki Ono Md. Altaf‐Ul‐Amin Shigehiko Kanaya Ming Huang
+	Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring	2022	Lingwei Zhu Koki Odani Ziwei Yang Guang Shi Yirong Kan Zheng Chen Renyuan Zhang
+	Multi-Tier Platform for Cognizing Massive Electroencephalogram	2022	Zheng Chen Lingwei Zhu Ziwei Yang Renyuan Zhang

Common Coauthors

Coauthor	Papers Together
Ziwei Yang	6
Lingwei Zhu	4
Shigehiko Kanaya	3
Naoaki Ono	3
Yasushi Sakurai	3
Yasuko Matsubara	3
Xihao Piao	3
Lingwei Zhu	2
Wei Chen	2
Ming Huang	2
T. Tamura	2
Renyuan Zhang	2
Md. Altaf‐Ul‐Amin	2
Koki Odani	1
Taichi Murayama	1
Md. Altaf-Ul-Amin	1
Lingwei Zhu	1
Guang Shi	1
Pei Gao	1
Yushun Dong	1
Yirong Kan	1
Ming Huang	1
Takashi Matsubara	1
Jimeng Sun	1
Aman Urumbekov	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Covariate-Correlated Lasso for Feature Selection	2014	Bo Jiang Chris Ding Bin Luo	1
+ PDF Chat	Information-based clustering	2005	Noam Slonim Gurinder S. Atwal Gašper Tkačik William Bialek	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	Explaining nonlinear classification decisions with deep Taylor decomposition	2016	Grégoire Montavon Sebastian Lapuschkin Alexander Binder Wojciech Samek Klaus‐Robert Müller	1
+ PDF Chat	DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG	2017	Akara Supratak Hao Dong Chao Wu Yike Guo	1
+ PDF Chat	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks	2018	Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu	1
+	A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification	2018	Martin Längkvist Amy Loutfi	1
+	Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification	2018	Huy Phan Fernando Andreotti Navin Cooray Oliver Y. Chén Maarten De Vos	1
+ PDF Chat	SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging	2019	Huy Phan Fernando Andreotti Navin Cooray Oliver Y. Chén Maarten De Vos	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks	2020	Zhi-Qin John Xu Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang T. Luo Yanyang Xiao Zheng Ma Zheng	1
+	On the Spectral Bias of Neural Networks	2018	Nasim Rahaman Aristide Baratin Devansh Arpit Felix Draxler Min Lin Fred A. Hamprecht Yoshua Bengio Aaron Courville	1
+	Neural Discrete Representation Learning	2017	Aäron van den Oord Oriol Vinyals Koray Kavukcuoglu	1
+	Generating Diverse High-Fidelity Images with VQ-VAE-2	2019	Ali Razavi Aäron van den Oord Oriol Vinyals	1
+	Longformer: The Long-Document Transformer	2020	Iz Beltagy Matthew E. Peters Arman Cohan	1
+	Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG	2020	Hogeon Seo Seunghyeok Back Seongju Lee Deokhwan Park Tae Kim Kyoobin Lee	1
+ PDF Chat	XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging	2021	Huy Phan Oliver Y. Chén Minh C. Tran Philipp Koch Alfred Mertins Maarten De Vos	1
+ PDF Chat	Defining Fundamental Frequency for Almost Harmonic Signals	2020	Filip Elvander Andreas Jakobsson	1
+ PDF Chat	MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning	2020	Nannapas Banluesombatkul Pichayoot Ouppaphan Pitshaporn Leelaarporn Payongkit Lakhan Busarakum Chaitusaney Nattapong Jaimchariyatam Ekapol Chuangsuwanich Wei Chen Huy Phan Nat Dilokthanakul	1
+ PDF Chat	SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification	2022	Huy Phan Kaare B. Mikkelsen Oliver Y. Chén Philipp Koch Alfred Mertins Maarten De Vos	1
+ PDF Chat	Transformer Interpretability Beyond Attention Visualization	2021	Hila Chefer Shir Gur Lior Wolf	1
+ PDF Chat	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	2021	Haoyi Zhou Shanghang Zhang Jieqi Peng Shuai Zhang Jianxin Li Hui Xiong Wancai Zhang	1
+ PDF Chat	XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data	2021	Eloise Withnell Xiaoyu Zhang Kai Sun Yike Guo	1
+	DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates	2021	Luigi Fiorillo Paolo Favaro Francesca Dalia Faraci	1
+	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	2021	Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long	1
+ PDF Chat	Multi-Tier Platform for Cognizing Massive Electroencephalogram	2022	Zheng Chen Lingwei Zhu Ziwei Yang Renyuan Zhang	1
+	How Do Vision Transformers Work?	2022	Namuk Park Songkuk Kim	1
+ PDF Chat	Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring	2021	Enrique Fernández-Blanco Carlos Fernández-Lozano Alejandro Pazos Daniel Rivero	1
+	Nonparametric Estimation from Incomplete Observations	1958	Edward L. Kaplan Paul Meier	1
+	Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting	2022	Yong Liu Haixu Wu Jianmin Wang Mingsheng Long	1
+ PDF Chat	Automated Sleep Staging via Parallel Frequency-Cut Attention	2023	Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura Naoaki Ono Md. Altaf-Ul-Amin Shigehiko Kanaya Ming Huang	1
+ PDF Chat	Are Transformers Effective for Time Series Forecasting?	2023	Ailing Zeng Muxi Chen Lei Zhang Qiang Xu	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1