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ORCIDZheng Chen 0012
Person information
- affiliation: Osaka University, Japan
Other persons with the same name
- Zheng Chen — disambiguation page
- Zheng Chen 0001
![[0009-0000-8342-9504]](https://dblp.org/img/orcid-mark.12x12.png "0009-0000-8342-9504")
— Microsoft Research Asia, Beijing, China (and 1 more) - Zheng Chen 0002 — Linköping University, Department of Electrical Engineering, Sweden (and 1 more)
- Zheng Chen 0003 — University of Science and Technology of China, Key Laboratory of Wireless-Optical Communications, Hefei, China
- Zheng Chen 0004 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
- Zheng Chen 0005 — University of Massachusetts Dartmouth, Department of Mathematics, Dartmouth, MA, USA (and 2 more)
- Zheng Chen 0006 — University of Houston, Department of Mechanical Engineering, TX, USA (and 2 more)
- Zheng Chen 0007 — Beijing Normal University, Faculty of Geographical Science, China
- Zheng Chen 0008 — Kunming University of Science and Technology, Faculty of Transportation Engineering, China (and 2 more)
- Zheng Chen 0009 — University of Paris-Sud, CNRS, Orsay, France
- Zheng Chen 0010 — Drexel University, College of Computing and Informatics, Philadelphia, PA, USA
- Zheng Chen 0011 — University of Southampton, UK
- Zheng Chen 0013 — Ningbo University of Technology, Faculty of Science, China (and 2 more)
- Zheng Chen 0014 — Shanghai Jiao Tong University, Shanghai, China
- Zheng Chen 0015 — Rensselaer Polytechnic Institute, Computer Science Department, NY, USA (and 1 more)
- Zheng Chen 0016 — Indiana University, Luddy School of Informatics, Computing, and Engineering, Bloomington, IN, USA
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2020 – today
- 2024
[j4]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:
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. IEEE Trans. Evol. Comput. 28(3): 668-681 (2024)- [c23]Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai:
Fredformer: Frequency Debiased Transformer for Time Series Forecasting. KDD 2024: 2400-2410 - [i15]Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang:
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. CoRR abs/2401.10843 (2024) - [i14]Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai:
Fredformer: Frequency Debiased Transformer for Time Series Forecasting. CoRR abs/2406.09009 (2024) - [i13]Xihao Piao, Pei Gao, Zheng Chen, Lingwei Zhu, Yasuko Matsubara, Yasushi Sakurai:
BEHRNOULLI: A Binary EHR Data-Oriented Medication Recommendation System. CoRR abs/2408.09410 (2024) - [i12]Ziwei Yang, Rikuto Kotoge, Zheng Chen, Xihao Piao, Yasuko Matsubara, Yasushi Sakurai:
CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines. CoRR abs/2409.02143 (2024) - 2023
- [j3]Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Learning vector quantized representation for cancer subtypes identification. Comput. Methods Programs Biomed. 236: 107543 (2023) - [c22]Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang:
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. ACML 2023: 1558-1573 - [c21]Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai:
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. ADMA (3) 2023: 103-117 - [c20]Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai:
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. CIKM 2023: 2895-2905 - [c19]Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White:
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. NeurIPS 2023 - [c18]Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara:
A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM 2023: 334-342 - [i11]Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White:
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. CoRR abs/2301.11476 (2023) - [i10]Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen:
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. CoRR abs/2302.11231 (2023) - [i9]Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai:
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. CoRR abs/2308.09725 (2023) - 2022
- [c17]Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. BIBM 2022: 1350-1355 - [c16]Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. EMBC 2022: 1113-1116 - [c15]Lingwei Zhu, Ziwei Yang, Koki Odani, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang:
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. EMBC 2022: 4453-4456 - [c14]Man Wu, Zheng Chen, Yunpeng Yao:
Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network. HPCC/DSS/SmartCity/DependSys 2022: 733-740 - [c13]Chen Li, Zheng Chen, Junjun Zheng:
An Efficient Transformer Encoder-Based Classification of Malware Using API Calls. HPCC/DSS/SmartCity/DependSys 2022: 839-846 - [c12]Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang:
Multi-Tier Platform for Cognizing Massive Electroencephalogram. IJCAI 2022: 2464-2470 - [c11]Guang Shi, Zheng Chen, Ming Huang, Renyuan Zhang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery. LifeTech 2022: 112-113 - [c10]Sota Kudo, Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device. LifeTech 2022: 305-307 - [c9]Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara:
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. ECML/PKDD (1) 2022: 88-103 - [c8]Guangxian Zhu, Huijia Wang, Yirong Kan, Zheng Chen, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya, Renyuan Zhang, Yasuhiko Nakashima:
A Stochastic Coding Method of EEG Signals for Sleep Stage Classification. SOCC 2022: 1-6 - [i8]Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. CoRR abs/2204.02278 (2022) - [i7]Zheng Chen, Ziwei Yang, Ming Huang, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network. CoRR abs/2204.03173 (2022) - [i6]Lingwei Zhu, Koki Odani, Ziwei Yang, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang:
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. CoRR abs/2204.03565 (2022) - [i5]Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang:
Multi-Tier Platform for Cognizing Massive Electroencephalogram. CoRR abs/2204.09840 (2022) - [i4]Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara:
q-Munchausen Reinforcement Learning. CoRR abs/2205.07467 (2022) - [i3]Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara:
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR abs/2205.07885 (2022) - [i2]Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara:
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. CoRR abs/2206.10801 (2022) - [i1]Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR abs/2207.09783 (2022) - 2021
- [j2]Zheng Chen, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals. Comput. Methods Programs Biomed. 205: 106102 (2021) - [j1]Yongxin Zhang, Zheng Chen, Haoyu Tian, Koshiro Kido, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
A Real-Time Portable IoT System for Telework Tracking. Frontiers Digit. Health 3: 643042 (2021) - [c7]Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. BIBM 2021: 848-853 - [c6]Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota. BIBM 2021: 2211-2216 - [c5]Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. BIBM 2021: 2920-2923 - [c4]Zheng Chen, Pei Gao, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages. EMBC 2021: 5928-5931 - [c3]Pei Gao, Zheng Chen, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia. LifeTech 2021: 102-103 - [c2]Guang Shi, Zheng Chen, Shigehiko Kanaya, Md. Altaf-Ul-Amin, Naoaki Ono, Ming Huang:
Prediction of Body Constitutions through Life-Style for Health Guidance. LifeTech 2021: 106-107 - 2020
- [c1]Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction. BIBM 2020: 1909-1913
Coauthor Index
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