members

Members

Staff

Manabu OKUMURA

Professor. Natural language processing, intelligent information presentation, language learning support, text mining

Kotaro FUNAKOSHI

Associate Professor. Natural language processing, multimodal dialogue systems, human-machine interaction

Satoshi KOSUGI

Assistant Professor. Computer vision, image recognition

Doctoral Students

ZHU, TIANJIAO

Medical Image Analysis, Multimodal Learning, Vision-Language Models

TAN, SHIYIN

Multi-Document Summarization, Graph-based learning, Recommendation

WANG, YUSONG

Multimodal Personality Traits Recognition, Mutlimodal Machine Translation

OBI, TAKAO

Multimodal Dialogue System, Human-Machine Interaction

DUAN, YUTONG

My research focuses on information extraction from materials science literature using large language models. I am currently investigating hallucinations in LLM-based information extraction and methods for their evaluation and mitigation.

HUANG, YIQIAN

My main research interest is training machanism of language models, especially post-training mechanisms towards trustworthy and controllable knowledge manipulation and reasoning behavior for LLMs.

LYU, BOXUAN

Machine translation, natural language generation, multimodal

YU, RUNJIA

Intersection of quantitative finance and artificial intelligence

Master's Students

SASAKI YUTA

Noise-Robust Audio-Visual Speech Recognition Using Lip-Reading Video

LIN, AILIANG

Semantics, Information Retrieval, Vision-Language Model

MAO KEYU

Multimodal Learning, LLM Agents, Causal Inference

HE, ZIMENG

LLM Agents, Long-term Memory, Persona Consistency, and Reinforcement Learning

SENGOKU, YUSEI

Development of a proactive dialogue system that imitates speech-language-hearing therapist

ZHU, XINGYU

MLLM-Powered Agent, Vision-Language Model

KAWAKAMI, HARUYA

Simultaneous generation of language and action. I work on externalizing a model's reasoning into a visual workspace to improve long-range and spatial consistency in generation.

YAN, YIHAN

Designing AI Agent Interaction Across Private and Shared Spaces in Multi-Party Collaboration

Bachelor's Students

Research and Visiting Students

No members are listed yet.