Rikuto Kotoge

According to our database, Rikuto Kotoge authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach.

Lincan Li, Rikuto Kotoge, Xihao Piao, Zheng Chen, Yushun Dong

CoRR, April, 2026

ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks.

Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara

CoRR, February, 2026

Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities.

Rikuto Kotoge, Mai Nishimura, Jiaxin Ma

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation.

Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech.

Rikuto Kotoge, Yuichi Sasaki

CoRR, October, 2025

EvoBrain: Dynamic Multi-channel EEG Graph Modeling for Time-evolving Brain Network.

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

CoRR, September, 2025

ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases.

Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai

CoRR, February, 2025

EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks.

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation.

Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines.

Ziwei Yang, Rikuto Kotoge, Zheng Chen, Xihao Piao, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning.

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

Proceedings of the IEEE International Conference on Data Mining, 2024