Nature-Inspired Machine Learning (NIMI)
Research Associate
Nature-Inspired Machine Learning (NIMI)
Bowen is a PhD student, and holds a CSC grant that supports his exploration into the world of Representation Learning. Focused on temporal knowledge graph embedding models, Bowen’s research deals with the dynamic interplay of data over time. Bowen emerges as a pioneering force, navigating the complex path of knowledge and leaving an indelible mark on the future of artificial intelligence
Bowen Song
Research Associate
Nature-Inspired Machine Learning (NIMI)
Bowen is a PhD student, and holds a CSC grant that supports his exploration into the world of Representation Learning. Focused on temporal knowledge graph embedding models, Bowen’s research deals with the dynamic interplay of data over time. Bowen emerges as a pioneering force, navigating the complex path of knowledge and leaving an indelible mark on the future of artificial intelligence
Research Associate
Nature-Inspired Machine Learning (NIMI)
Bowen is a PhD student, and holds a CSC grant that supports his exploration into the world of Representation Learning. Focused on temporal knowledge graph embedding models, Bowen’s research deals with the dynamic interplay of data over time. Bowen emerges as a pioneering force, navigating the complex path of knowledge and leaving an indelible mark on the future of artificial intelligence
Publications
Research Associate
Nature-Inspired Machine Learning (NIMI)
Bowen is a PhD student, and holds a CSC grant that supports his exploration into the world of Representation Learning. Focused on temporal knowledge graph embedding models, Bowen’s research deals with the dynamic interplay of data over time. Bowen emerges as a pioneering force, navigating the complex path of knowledge and leaving an indelible mark on the future of artificial intelligence