Alleviating adversarial attacks via convolutional autoencoder. - Wenjun Bai; Changqin Quan; Zhiwei Luo (SNPD, 2017)

Long short-term memory networks for automatic generation of conversations. - Tomohiro Fujita; Wenjun Bai; Changqin Quan (SNPD, 2017)

Text mining and pattern clustering for relation extraction of breast cancer and related genes. - Koya Kawashima; Wenjun Bai; Changqin Quan (SNPD, 2017)

Learning Flexible Latent Representations via Encapsulated Variational Encoders. - Wenjun Bai; Changqin Quan; Zhi-Wei Luo (AAAI, 2019)

Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information. - Wenjun Bai; Tomoki Tokuda; Okito Yamashita; Junichiro Yoshimoto (BIBM, 2020)

Data-driven Dimensional Expression Generation via Encapsulated Variational Auto-Encoders. - Wenjun Bai; Changqin Quan; Zhi-Wei Luo (Cogn. Comput., 2023)

Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis. - Wenjun Bai; Okito Yamashita; Junichiro Yoshimoto (Neural Networks, 2023)

Functionally specialized spectral organization of the resting human cortex. - Wenjun Bai; Okito Yamashita; Junichiro Yoshimoto (Neural Networks, 2025)

Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging. - Yuanhao Li 004; Badong Chen; Zhongxu Hu; Keita Suzuki; Wenjun Bai; Yasuharu Koike; Okito Yamashita (IEEE Trans. Medical Imaging, 2025)