Wenjun Bai - RankMe

12 papers A* 1C 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncertainty-aware variational soft prompt for few-shot tuning in fMRI-based mental state decoding. Biomed. Signal Process. Control. Zhongxu Hu, Yuanhao Li, Hiroshi Morioka, Wenjun Bai, Okito Yamashita
2025	J	`jnl`	Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging. IEEE Trans. Medical Imaging Yuanhao Li, Badong Chen, Zhongxu Hu, Keita Suzuki, Wenjun Bai, Yasuharu Koike, Okito Yamashita
2025	J	`jnl`	Functionally specialized spectral organization of the resting human cortex. Neural Networks Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto
2025	J	`jnl`	Robust Sparse Bayesian Learning Based on Minimum Error Entropy for Noisy High-Dimensional Brain Activity Decoding. CoRR Yuanhao Li, Badong Chen, Wenjun Bai, Yasuharu Koike, Okito Yamashita
2024	J	`jnl`	Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging. CoRR Yuanhao Li, Badong Chen, Zhongxu Hu, Keita Suzuki, Wenjun Bai, Yasuharu Koike, Okito Yamashita
2023	J	`jnl`	Data-driven Dimensional Expression Generation via Encapsulated Variational Auto-Encoders. Cogn. Comput. Wenjun Bai, Changqin Quan, Zhi-Wei Luo
2023	J	`jnl`	Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis. Neural Networks Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto
2020	—	`conf`	Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information. BIBM Wenjun Bai, Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto
2019	A*	`conf`	Learning Flexible Latent Representations via Encapsulated Variational Encoders. AAAI Wenjun Bai, Changqin Quan, Zhi-Wei Luo
2017	C	`conf`	Alleviating adversarial attacks via convolutional autoencoder. SNPD Wenjun Bai, Changqin Quan, Zhiwei Luo
2017	C	`conf`	Long short-term memory networks for automatic generation of conversations. SNPD Tomohiro Fujita, Wenjun Bai, Changqin Quan
2017	C	`conf`	Text mining and pattern clustering for relation extraction of breast cancer and related genes. SNPD Koya Kawashima, Wenjun Bai, Changqin Quan