iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction. - Zheng Chen 012; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (BIBM, 2020)

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. - Zheng Chen 012; Ziwei Yang 002; Dong Wang 044; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota. - Pei Gao; Zheng Chen 012; Dong Wang 044; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. - Ziwei Yang 002; Dong Wang 044; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages. - Zheng Chen 012; Pei Gao; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (EMBC, 2021)

An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia. - Pei Gao; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (LifeTech, 2021)

Prediction of Body Constitutions through Life-Style for Health Guidance. - Guang Shi; Zheng Chen 012; Shigehiko Kanaya; Md. Altaf-Ul-Amin; Naoaki Ono; Ming Huang 002 (LifeTech, 2021)

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals. - Zheng Chen 012; Naoaki Ono; Wei Chen 015; Toshiyo Tamura; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (Comput. Methods Programs Biomed., 2021)

A Real-Time Portable IoT System for Telework Tracking. - Yongxin Zhang; Zheng Chen 012; Haoyu Tian; Koshiro Kido; Naoaki Ono; Wei Chen 015; Toshiyo Tamura; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (Frontiers Digit. Health, 2021)

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. - Ziwei Yang 002; Lingwei Zhu; Chen Li 027; Zheng Chen 012; Naoki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2022)

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. - Ziwei Yang 002; Lingwei Zhu; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (EMBC, 2022)

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. - Lingwei Zhu; Ziwei Yang 002; Koki Odani; Guang Shi; Yirong Kan; Zheng Chen 012; Renyuan Zhang (EMBC, 2022)

An Efficient Transformer Encoder-Based Classification of Malware Using API Calls. - Chen Li 027; Zheng Chen 012; Junjun Zheng (HPCC/DSS/SmartCity/DependSys, 2022)

Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network. - Man Wu; Zheng Chen 012; Yunpeng Yao (HPCC/DSS/SmartCity/DependSys, 2022)

Multi-Tier Platform for Cognizing Massive Electroencephalogram. - Zheng Chen 012; Lingwei Zhu; Ziwei Yang 002; Renyuan Zhang (IJCAI, 2022)

Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device. - Sota Kudo; Zheng Chen 012; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (LifeTech, 2022)

Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery. - Guang Shi; Zheng Chen 012; Ming Huang 002; Renyuan Zhang; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (LifeTech, 2022)

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. - Zheng Chen 012; Lingwei Zhu; Ziwei Yang 002; Takashi Matsubara 001 (ECML/PKDD (1), 2022)

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification. - Guangxian Zhu; Huijia Wang; Yirong Kan; Zheng Chen 012; Ming Huang 002; Md. Altaf-Ul-Amin; Naoaki Ono; Shigehiko Kanaya; Renyuan Zhang; Yasuhiko Nakashima (SOCC, 2022)

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network. - Zheng Chen 012; Ziwei Yang 002; Ming Huang 002; Toshiyo Tamura; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (CoRR, 2022)

q-Munchausen Reinforcement Learning. - Lingwei Zhu; Zheng Chen 012; Eiji Uchibe; Takamitsu Matsubara (CoRR, 2022)

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. - Lingwei Zhu; Zheng Chen 012; Eiji Uchibe; Takamitsu Matsubara (CoRR, 2022)

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Guang Shi; Kun Yue; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (CoRR, 2022)

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. - Yunpeng Yao; Man Wu; Zheng Chen 012; Renyuan Zhang (ACML, 2023)

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. - Honglin Shu; Pei Gao; Lingwei Zhu; Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai (ADMA (3), 2023)

MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data. - Zongli Jiang; Hongwei Ren; Ziwei Yang 002; Jinli Zhang; Zheng Chen 012 (BIBM, 2023)

MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. - Ziwei Yang 002; Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai (CIKM, 2023)

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. - Lingwei Zhu; Zheng Chen 012; Matthew Schlegel; Martha White (NeurIPS, 2023)

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. - Zheng Chen 012; Lingwei Zhu; Haohui Jia; Takashi Matsubara 001 (SDM, 2023)

Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. - Lingwei Zhu; Zheng Chen 012; Takamitsu Matsubara; Martha White (CoRR, 2023)

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. - Honglin Shu; Pei Gao; Lingwei Zhu; Zheng Chen 012 (CoRR, 2023)

Learning vector quantized representation for cancer subtypes identification. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Peng Gao; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (Comput. Methods Programs Biomed., 2023)

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning. - Rikuto Kotoge; Zheng Chen 012; Tasuku Kimura; Yasuko Matsubara; Takufumi Yanagisawa; Haruhiko Kishima; Yasushi Sakurai (ICDM, 2024)

Fredformer: Frequency Debiased Transformer for Time Series Forecasting. - Xihao Piao; Zheng Chen 012; Taichi Murayama; Yasuko Matsubara; Yasushi Sakurai (KDD, 2024)

BEHRNOULLI: A Binary EHR Data-Oriented Medication Recommendation System. - Xihao Piao; Pei Gao; Zheng Chen 012; Lingwei Zhu; Yasuko Matsubara; Yasushi Sakurai (CoRR, 2024)

CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines. - Ziwei Yang 002; Rikuto Kotoge; Zheng Chen 012; Xihao Piao; Yasuko Matsubara; Yasushi Sakurai (CoRR, 2024)

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting. - Xihao Piao; Zheng Chen 012; Yushun Dong; Yasuko Matsubara; Yasushi Sakurai (CoRR, 2024)

Can Large Language Models Replace Data Scientists in Clinical Research? - Zifeng Wang 008; Benjamin P. Danek; Ziwei Yang 002; Zheng Chen 012; Jimeng Sun 001 (CoRR, 2024)

SODor: Long-Term EEG Partitioning for Seizure Onset Detection. - Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun 001 (CoRR, 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Long-Term EEG Partitioning for Seizure Onset Detection. - Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun 001 (AAAI, 2025)

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. - Ziwei Yang 002; Zheng Chen 012; Xin Liu 020; Rikuto Kotoge; Peng Chen 035; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun 001 (ICLR, 2025)

Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. - Kohei Obata; Taichi Murayama; Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai (PAKDD (6), 2025)

Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling. - Pei Gao; Zheng Chen 012; Xin Liu 020; Peng Chen 035; Yasuko Matsubara; Yasushi Sakurai (Comput. Methods Programs Biomed., 2025)

Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning Layer. - Lingwei Zhu; Zheng Chen 012; Yukie Nagai; Jimeng Sun 001 (CoRR, 2025)

Single-Channel EEG Tokenization Through Time-Frequency Modeling. - Jathurshan Pradeepkumar; Xihao Piao; Zheng Chen 012; Jimeng Sun 001 (CoRR, 2025)

ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases. - Rikuto Kotoge; Ziwei Yang 002; Zheng Chen 012; Yushun Dong; Yasuko Matsubara; Jimeng Sun 001; Yasushi Sakurai (CoRR, 2025)

A Survey of Reinforcement Learning for Software Engineering. - Dong Wang 044; Hanmo You; Lingwei Zhu; Kaiwei Lin; Zheng Chen 012; Chen Yang; Junji Yu; Zan Wang; Junjie Chen 003 (CoRR, 2025)

Symmetric Behavior Regularization via Taylor Expansion of Symmetry. - Lingwei Zhu; Zheng Chen 012; Han Wang; Yukie Nagai (CoRR, 2025)