Shaoxiong Ji
shaoxiong.ji@utu.fi +358 29 450 2147 +358 50 430 4151 ORCID identifier: https://orcid.org/0000-0003-3281-8002 |
Natural language processing; large language models; multilingual NLP; AI for health; multimodal AI
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).
- Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning (2023) Ji, Shaoxiong; Marttinen, Pekka
(A4 Refereed article in a conference publication ) - Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition (2023)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning (2022)
- IEEE Intelligent Systems
(A1 Refereed original research article in a scientific journal) - Suicidal ideation and mental disorder detection with attentive relation networks (2022)
- Neural Computing and Applications
(A1 Refereed original research article in a scientific journal) - Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2021)
- IEEE transactions on computational social systems
(A1 Refereed original research article in a scientific journal) - Detecting Suicidal Ideation with Data Protection in Online Communities (2019)
- Lecture Notes in Computer Science
(A1 Refereed original research article in a scientific journal) - Learning Private Neural Language Modeling with Attentive Aggregation (2019)
- International Joint Conference on Neural Networks
(A1 Refereed original research article in a scientific journal) - Supervised Learning for Suicidal Ideation Detection in Online User Content (2018)
- Complexity
(A1 Refereed original research article in a scientific journal)



