| 2026 | PAKDD | AnomalyFilter: Selective Denoising Diffusion Model for Time Series Anomaly Detection. | Kohei Obata, Zheng Chen, Yasuko Matsubara, Lingwei Zhu, Yasushi Sakurai |
| 2025 | ICLR | q-exponential family for policy optimization. | Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White |
| 2025 | ICLR | Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies. | Lingwei Zhu, Han Wang, Yukie Nagai |
| 2023 | ADMA | Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. | Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | SDM | A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. | Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara |
| 2022 | IJCAI | Multi-Tier Platform for Cognizing Massive Electroencephalogram. | Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang |
| 2021 | ACML | Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. | Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara |
| 2021 | ACML | Cautious Actor-Critic. | Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara |
| 2020 | ICRA | Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. | Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara |