Lingwei Zhu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Mutual Information Maximization

Vector Quantized

Top Venues

Publications

Lingwei Zhu, Matthew Schlegel, Han Wang, Martha White
Offline Reinforcement Learning via Tsallis Regularization. Trans. Mach. Learn. Res. 2024 (2024)
Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. NeurIPS (2023)
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)
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics Auton. Syst. 165 (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)
Lingwei Zhu, Takamitsu Matsubara
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning. Mach. Learn. 112 (11) (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)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
Multi-Tier Platform for Cognizing Massive Electroencephalogram. CoRR (2022)
Lingwei Zhu, Go Takami, Mizuo Kawahara, Hiroaki Kanokogi, Takamitsu Matsubara
Alleviating parameter-tuning burden in reinforcement learning for large-scale process control. Comput. Chem. Eng. 158 (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)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
q-Munchausen Reinforcement Learning. CoRR (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)
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR (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)
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
Cautious Actor-Critic. CoRR (2021)
Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. ACML (2021)
Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. CoRR (2021)
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
Cautious Actor-Critic. ACML (2021)
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning. CoRR (2021)
Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara
Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA (2020)
Lingwei Zhu, Takamitsu Matsubara
Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning. CoRR (2020)
Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara
Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. CASE (2018)