Zheng Chen

According to our database, Zheng Chen authored at least 41 papers between 2020 and 2024.

Collaborative distances:

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

2024

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.

Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow Mong Goh, Yong Liu

IEEE Trans. Evol. Comput., June, 2024

SODor: Long-Term EEG Partitioning for Seizure Onset Detection.

Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

CoRR, 2024

Can Large Language Models Replace Data Scientists in Clinical Research?

Zifeng Wang, Benjamin P. Danek, Ziwei Yang, Zheng Chen, Jimeng Sun

CoRR, 2024

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation.

Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

CoRR, 2024

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning.

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

CoRR, 2024

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting.

Xihao Piao, Zheng Chen, Yushun Dong, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines.

Ziwei Yang, Rikuto Kotoge, Zheng Chen, Xihao Piao, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

BEHRNOULLI: A Binary EHR Data-Oriented Medication Recommendation System.

Xihao Piao, Pei Gao, Zheng Chen, Lingwei Zhu, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

Fredformer: Frequency Debiased Transformer for Time Series Forecasting.

Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Learning vector quantized representation for cancer subtypes identification.

Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin

Comput. Methods Programs Biomed., June, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen

CoRR, 2023

Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence.

Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White

CoRR, 2023

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning.

Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence.

Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White

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

MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling.

Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data.

Zongli Jiang, Hongwei Ren, Ziwei Yang, Jinli Zhang, Zheng Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency.

Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.

Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin

CoRR, 2022

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning.

Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara

CoRR, 2022

q-Munchausen Reinforcement Learning.

Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara

CoRR, 2022

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network.

Zheng Chen, Ziwei Yang, Ming Huang, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

CoRR, 2022

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification.

Guangxian Zhu, Huijia Wang, Yirong Kan, Zheng Chen, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya, Renyuan Zhang, Yasuhiko Nakashima

Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization.

Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery.

Guang Shi, Zheng Chen, Ming Huang, Renyuan Zhang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device.

Sota Kudo, Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Multi-Tier Platform for Cognizing Massive Electroencephalogram.

Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network.

Man Wu, Zheng Chen, Yunpeng Yao

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

An Efficient Transformer Encoder-Based Classification of Malware Using API Calls.

Chen Li, Zheng Chen, Junjun Zheng

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring.

Lingwei Zhu, Ziwei Yang, Koki Odani, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data.

Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping.

Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Real-Time Portable IoT System for Telework Tracking.

Yongxin Zhang, Zheng Chen, Haoyu Tian, Koshiro Kido, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

Frontiers Digit. Health, 2021

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals.

Zheng Chen, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

Comput. Methods Programs Biomed., 2021

Prediction of Body Constitutions through Life-Style for Health Guidance.

Guang Shi, Zheng Chen, Shigehiko Kanaya, Md. Altaf-Ul-Amin, Naoaki Ono, Ming Huang

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia.

Pei Gao, Zheng Chen, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages.

Zheng Chen, Pei Gao, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.

Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.

Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.

Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction.

Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020