Lingwei Zhu - RankMe

43 papers A* 5A 1C 2Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks. CoRR Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara
2026	J	`jnl`	RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs. CoRR Haohui Jia, Zheng Chen, Lingwei Zhu, Xu Cao, Yasuko Matsubara, Takashi Matsubara, Yasushi Sakurai
2026	J	`jnl`	Selective Denoising Diffusion Model for Time Series Anomaly Detection. CoRR Kohei Obata, Zheng Chen, Yasuko Matsubara, Lingwei Zhu, Yasushi Sakurai
2026	J	`jnl`	TIFO: Time-Invariant Frequency Operator for Stationarity-Aware Representation Learning in Time Series. CoRR Xihao Piao, Zheng Chen, Lingwei Zhu, Yushun Dong, Yasuko Matsubara, Yasushi Sakurai
2025	J	`jnl`	A Survey of Reinforcement Learning for Software Engineering. CoRR Dong Wang, Hanmo You, Lingwei Zhu, Kaiwei Lin, Zheng Chen, Chen Yang, Junji Yu, Zan Wang, Junjie Chen
2025	J	`jnl`	Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies. CoRR Lingwei Zhu, Han Wang, Yukie Nagai
2025	A*	`conf`	Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies. ICLR Lingwei Zhu, Han Wang, Yukie Nagai
2025	J	`jnl`	Symmetric Behavior Regularization via Taylor Expansion of Symmetry. CoRR Lingwei Zhu, Zheng Chen, Han Wang, Yukie Nagai
2025	J	`jnl`	Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning Layer. CoRR Lingwei Zhu, Zheng Chen, Yukie Nagai, Jimeng Sun
2025	A*	`conf`	q-exponential family for policy optimization. ICLR Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White
2024	J	`jnl`	BEHRNOULLI: A Binary EHR Data-Oriented Medication Recommendation System. CoRR Xihao Piao, Pei Gao, Zheng Chen, Lingwei Zhu, Yasuko Matsubara, Yasushi Sakurai
2024	J	`jnl`	Offline Reinforcement Learning via Tsallis Regularization. Trans. Mach. Learn. Res. Lingwei Zhu, Matthew Schlegel, Han Wang, Martha White
2024	J	`jnl`	q-exponential family for policy optimization. CoRR Lingwei Zhu, Haseeb Shah, Han Wang, Martha White
2023	A	`conf`	A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara
2023	J	`jnl`	Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning. Mach. Learn. Lingwei Zhu, Takamitsu Matsubara
2023	J	`jnl`	Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics Auton. Syst. Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
2023	—	`conf`	Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. ADMA (3) Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai
2023	J	`jnl`	Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. CoRR Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen
2023	A*	`conf`	General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. NeurIPS Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
2023	J	`jnl`	Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. CoRR Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White
2023	J	`jnl`	Learning vector quantized representation for cancer subtypes identification. Comput. Methods Programs Biomed. Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
2022	—	`conf`	Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. EMBC Lingwei Zhu, Ziwei Yang, Koki Odani, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang
2022	J	`jnl`	Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. CoRR Lingwei Zhu, Koki Odani, Ziwei Yang, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang
2022	J	`jnl`	Alleviating parameter-tuning burden in reinforcement learning for large-scale process control. Comput. Chem. Eng. Lingwei Zhu, Go Takami, Mizuo Kawahara, Hiroaki Kanokogi, Takamitsu Matsubara
2022	—	`conf`	Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. ECML/PKDD (1) Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
2022	J	`jnl`	Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. CoRR Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
2022	J	`jnl`	Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
2022	—	`conf`	Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. EMBC Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
2022	J	`jnl`	Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. CoRR Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
2022	J	`jnl`	Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
2022	J	`jnl`	Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
2022	—	`conf`	Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. BIBM Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
2022	A*	`conf`	Multi-Tier Platform for Cognizing Massive Electroencephalogram. IJCAI Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
2022	J	`jnl`	Multi-Tier Platform for Cognizing Massive Electroencephalogram. CoRR Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
2022	J	`jnl`	q-Munchausen Reinforcement Learning. CoRR Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
2021	C	`conf`	Cautious Actor-Critic. ACML Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
2021	J	`jnl`	Cautious Actor-Critic. CoRR Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
2021	J	`jnl`	Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning. CoRR Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
2021	C	`conf`	Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. ACML Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
2021	J	`jnl`	Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. CoRR Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
2020	A*	`conf`	Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara
2020	J	`jnl`	Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning. CoRR Lingwei Zhu, Takamitsu Matsubara
2018	—	`conf`	Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. CASE Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara