Zheng Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Topics

Unsupervised Learning

Vector Quantized

Top Venues

IEEE Trans. Evol. Comput.

Publications

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) (2024)
Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai
Fredformer: Frequency Debiased Transformer for Time Series Forecasting. KDD (2024)
Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. CoRR (2023)
Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. CoRR (2023)
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 (2023)
Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara
A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM (2023)
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)
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)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
Multi-Tier Platform for Cognizing Massive Electroencephalogram. CoRR (2022)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. CoRR (2022)
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 (2022)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. ECML/PKDD (1) (2022)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
Multi-Tier Platform for Cognizing Massive Electroencephalogram. IJCAI (2022)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR (2022)
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)
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 (2022)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
q-Munchausen Reinforcement Learning. CoRR (2022)
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)
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)
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)
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 (2022)
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 (2022)
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)