Lebenslauf und Publikationen Dr. Shufan Jiang

Dr. Shufan Jiang a postdoctoral researcher since October 2023 at Information Service Engineering Team at FIZ Karlsruhe and Karlsruhe Institute of Technology under the supervision of Harald Sack.

Between December 2022 and October 2023, she was a postdoctoral researcher (more precisely, Temporary Lecturer and Research Staff, ATER) at Computer Science Department of Ecole Normale Supérieure, VALDA Team. She has worked on the TheoremKB research project under the supervision of Pierre Senellart. She has also participated in the teaching of the Centre de formation sur l’environnement et la société (CERES).

She obtained a Ph.D. in Computer Science from the University of Reims Champagne-Ardenne and ISEP Paris in December 2022. She was co-supervised by Rafael Angarita, Stéphane Cormier, Raja Chiky and Francis Rousseaux.

Her work explores knowledge reconstruction from textual, heterogeneous and domain-specific data.

A. Salatino, M. Alam, F. Ongenae, S. Vahdati, A. Gentile, T. Pellegrini, S. Jiang (eds.), Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, Proc. of the 20th Int. Conf. on Semantic Systems, 17–19 September 2024, Amsterdam, The Netherlands, in Studies of the Semantic Web, vol. 60, IOS Press, CC BY 4.0, ISBN: 978-1-64368-537-3 (online)

M. A. Tan, S. Jiang, H. Sack, How to Turn Card Catalogs into LLM Fodder, Proc. of the Workshop on Deep Learning and Linked Data (DLnLD)@ LREC-COLING 2024, 2024, pp. 53-65 [local copy(PDF),bibTeX]

Jiang, S., & Senellart, P. (2023, November). Extracting Definienda in Mathematical Scholarly Articles with Transformers. In Proceedings of the Second Workshop on Information Extraction from Scientific Publications (pp. 31-36).  [local copy(PDF),bibTeX]

Jiang, S., Cormier, S., Angarita, R., & Rousseaux, F. (2023). Improving Text Mining in Plant Health Domain with GAN and/or Pre-trained Language Model. Frontiers in Artificial Intelligence, 6, 1072329.  [local copy(PDF),bibTeX]

Jiang, S. (2022). Integration of Textual Data for the Detection of Natural Risks in Agriculture. Computer Science. Université de Reims Champagne Ardenne.  [local copy(PDF),bibTeX]
 
Jiang, S., Angarita, R., Cormier, S., & Rousseaux, F. (2022, October). Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach. In 2022 6th International Conference on Universal Village (UV) (pp. 1-5). IEEE.  [local copy(PDF),bibTeX]

Jiang, S., Angarita, R., Cormier, S., Orensanz, J., & Rousseaux, F. (2022, May). Informativeness In Twitter Textual Contents For Farmer-centric Plant Health Monitoring. In International Conference on Pattern Recognition and Artificial Intelligence (pp. 492-503). Cham: Springer International Publishing.  [local copy(PDF),bibTeX]

Jiang, S., Angarita, R., Cormier, S., Orensanz, J., & Rousseaux, F. (2022, May). ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context. In International Conference on Research Challenges in Information Science (pp. 653-661). Cham: Springer International Publishing.  [local copy(PDF),bibTeX]

Jiang, S., Angarita, R., Cormier, S., & Rousseaux, F. (2021). Fine-tuning BERT-based Models for Plant Health Bulletin Classification. arXiv preprint arXiv:2102.00838.  [local copy(PDF),bibTeX]

Jiang, S., Angarita, R., Chiky, R., Cormier, S., & Rousseaux, F. (2020). Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies. In Advanced Information Systems Engineering Workshops: CAiSE 2020 International Workshops, Grenoble, France, June 8–12, 2020, Proceedings 32 (pp. 89-94). Springer International Publishing.  [local copy(PDF),bibTeX]

• PhD in Computer Science, 2022 at Reims Champagne-Ardenne University & ISEP Paris
• MEng in Architecture of Information Systems, 2015, at ISEP Paris
• BSc in Computer Science and Technology, 2014 at Nanjing University of Aeronautics and Astronautics

Dr. Shufan Jiang’s Website: https://shufanjiang.github.io