Lingwei Zhu

According to our database, Lingwei Zhu authored at least 23 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning.

Lingwei Zhu, Takamitsu Matsubara

Mach. Learn., November, 2023

Learning vector quantized representation for cancer subtypes identification.

Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin

Comput. Methods Programs Biomed., June, 2023

Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization.

Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara

Robotics Auton. Syst., 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen

CoRR, 2023

Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence.

Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White

CoRR, 2023

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning.

Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence.

Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.

Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin

CoRR, 2022

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning.

Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara

CoRR, 2022

q-Munchausen Reinforcement Learning.

Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara

CoRR, 2022

Alleviating parameter-tuning burden in reinforcement learning for large-scale process control.

Lingwei Zhu, Go Takami, Mizuo Kawahara, Hiroaki Kanokogi, Takamitsu Matsubara

Comput. Chem. Eng., 2022

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization.

Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-Tier Platform for Cognizing Massive Electroencephalogram.

Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring.

Lingwei Zhu, Ziwei Yang, Koki Odani, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data.

Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping.

Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning.

Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara

CoRR, 2021

Cautious Actor-Critic.

Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara

Proceedings of the Asian Conference on Machine Learning, 2021

Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning.

Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning.

Lingwei Zhu, Takamitsu Matsubara

CoRR, 2020

Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning.

Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018

Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control.

Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018