Zheng Chen

Orcid: 0000-0001-6776-7159

Affiliations:
  • Osaka University, Japan


According to our database1, Zheng Chen authored at least 28 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Learning vector quantized representation for cancer subtypes identification.
Comput. Methods Programs Biomed., June, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.
CoRR, 2023

Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence.
CoRR, 2023

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.
CoRR, 2022

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning.
CoRR, 2022

q-Munchausen Reinforcement Learning.
CoRR, 2022

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network.
CoRR, 2022

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery.
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.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Multi-Tier Platform for Cognizing Massive Electroencephalogram.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network.
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.
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.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Real-Time Portable IoT System for Telework Tracking.
Frontiers Digit. Health, 2021

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals.
Comput. Methods Programs Biomed., 2021

Prediction of Body Constitutions through Life-Style for Health Guidance.
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.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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