Rikuto Kotoge

According to our database, Rikuto Kotoge authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

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

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

Rikuto Kotoge, Mai Nishimura, Jiaxin Ma

CoRR, August, 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

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