Dr. Shaoxiong Ji is a postdoctoral researcher at University of Helsinki, working on high-performance language technology with Prof. Jörg Tiedemann. He did his PhD at Aalto University, under the supervision of Assoc. Prof. Pekka Marttinen. During his doctoral candidature, he was a visiting researcher with Prof. Hinrich Schütze at the University of Munich (LMU Munich, Germany) and with Dr. Mikko Peltola at the Finnish Institute for Health and Welfare (THL, Finland). Prior to his doctoral candidature, he did MPhil research with Prof. Xue Li and Prof. Helen Zi Huang at the University of Queensland (UQ Australia), visiting research with Assoc. Prof. Erik Cambria at Nanyang Technological University (NTU Singapore), and research assistant and visit research with Dr. Guodong Long and Dr. Shirui Pan at University of Technology Sydney (UTS Australia).
Research Interest
Machine Learning: Deep Learning, Federated Learning, Multitask and Meta Learning
Natural Language Processing: Affective Computing, Information Extraction, Language Modeling
Applications: Health Informatics, Social Text Analytics, Clinical Notes, Mental Health, Time Series
Professional Services
Program Committee / Reviewer
EMNLP (2022, 2021), COLING (2022), NAACL-HLT (2021), EACL (2023), ECML-PKDD (2022, 2021), AAAI(2023, 2022), ACM CSCW(2021)
Guest Editor
Neurocomputing SI:KGRR (2020-21)
Future Generation Computer Systems VSI:GraphML (2020-21)
Journal Reviewer
2021: ACM Transactions on Information Systems (TOIS), Nature Communications, Neural Networks, IEEE Transactions on Signal Processing (IEEE TSP)
2020: IEEE Transactions on Multimedia (IEEE TMM), ACM Transactions on Knowledge Discovery from Data (ACM TKDD), IEEE Transactions on Information Forensics & Security (IEEE T-IFS), Journal of the American Medical Informatics Association (JAMIA), Information Processing and Management (IP&M), Management Science, Psychology and Health, Neurocomputing
Teaching & Supervision
Teaching Assistant
Aalto M.S. course CS-E4820: Machine Learning: Advanced Probabilistic Methods (2021 Spring)
Supervision, Advising & Tutoring
Aalto M.S. thesis instructor: Natural Language Processing and Healthcare Applications (2021 & 2022)
Aalto M.S. course CS-E4875: Research Project in Machine Learning, Data Science & Artificial Intelligence (2020, 2021 & 2022)
Aalto M.S. course CS-E4000: Seminar in Computer Science: Internet, Data and Things (2019, 2020 & 2021)
Aalto Bachelor Thesis supervisor: Data Science (2019, 2020 & 2021)
Awards and Grants
ELISE Mobility Program: Travel Grant, 05/0222
Finnish Center for Artificial Intelligence (FCAI): Travel Grant, 04/2022
Nokia Scholarship: Nokia Foundation, 10/2021
Foundation for Aalto University Science & Technology: Travel Grant, 05/2021
UQ Candidate Travel Award: Travel Grant, 07/2019
INNS Student Travel Grant: IJCNN, 04/2019
Fun Facts
Erdős number: 3 (Paul Erdős -> Giuseppe Melfi -> Erik Cambria).
Another path: Paul Erdős -> Ronald Graham -> Boris Lubachevsky -> Anwar Walid
Dijkstra number: 4 (Edsger W. Dijkstra -> Jayadev Misra -> Laura M. Haas -> Philip S. Yu).
Pleasurably studied or worked at
