Shaoxiong
Ji
Assistant Professor, Data-analytiikka
Links
Areas of expertise
Natural language processing
large language models
multilingual NLP
AI for health
multimodal AI
Biography
Dr. Shaoxiong Ji is an Assistant Professor at the University of Turku and a Principal Investigator at the ELLIS Institute Finland. He received his Ph.D. from Aalto University, after which he was a postdoctoral researcher in high-performance language technology at the University of Helsinki. Prior to his current roles, he worked as an independent research group leader at the Technical University of Darmstadt. Throughout his academic career, he was a visiting researcher at some international institutions, such as the University of Technology Sydney (UTS), the University of Queensland (UQ), Nanyang Technological University (NTU), the University of Munich (LMU), Shanghai AI Lab, and the Finnish Institute for Health and Welfare (THL).
Publications
Graph2text or Graph2token: A Perspective of Large Language Modelsfor Graph Learning (2026)
ACM Transactions on Information Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on {BLOOM} (2025)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources (2025)
(D3 Artikkeli ammatillisessa konferenssijulkaisussa )GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models (2025)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation (2024)
European Journal of Health Economics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives (2024)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection (2024)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)Emerging trends in federated learning: from model fusion to federated X learning (2024)
International Journal of Machine Learning and Cybernetics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A New Massive Multilingual Dataset for High-Performance Language Technologies (2024)
LREC Proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)