Research Topic Groups

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AIDA Lab organizes research topic groups, and we regularly look for research topics in order to publish journal papers or AI conference papers.

LLM/NLP Research Topic Group

The LLM(Large Language Model)/NLP(Natural Language Processing) research group studies natural language analysis, natural language understanding and natural language synthesis. The NLP research group mainly studies language models used in sentence summary, text classification, automatic Q&A system and chatbot service. Other research topics may include text-visual, text-audio, text-audio-visual and multi-modal AI techniques.

Multi modal Research Topic Group

The multi modal research group studies the integration and interaction between different data modalities such as text, image, video, and tabular data. The Multimodal research group mainly studies knowledge-based visual question answering, video understanding, and multimodal forecasting. Other research topics may include cross-modal attention mechanisms, vision-language alignment, and multi-modal generative AI for complex data environments.

Time-series Research Topic Group

The Time-series research group studies temporal dynamics and structural patterns in high-dimensional sequence and spatio-temporal data. The Time-series research group mainly studies models used in sequence forecasting, anomaly detection, reliability prediction and trajectory estimation. Other research topics may include self-supervised learning for sequences, time-series foundation models, and advanced signal processing for complex sequential environments.