Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies. - Shufan Jiang; Rafael Angarita; Raja Chiky; Stéphane Cormier; Francis Rousseaux (CAiSE Workshops, 2020)

Vers la Reconstruction des Connaissances Agricoles: Perspectives de Détection des Risques Naturels à partir de Sources de Données Hétérogènes. - Shufan Jiang; Rafael Angarita; Raja Chiky; Stéphane Cormier; Francis Rousseaux (EGC, 2021)

Fine-tuning BERT-based models for Plant Health Bulletin Classification. - Shufan Jiang; Rafael Angarita; Stephane Cormier; Francis Rousseaux (CoRR, 2021)

Informativité dans les Contenus Textuels Twitter pour la Phytosurveillance Centrée sur l'observation des Agriculteurs. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (EGC, 2022)

Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (ICPRAI (2), 2022)

ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (RCIS, 2022)

Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Francis Rousseaux (UV, 2022)

Integration of textual data for the detection of natural risks in agriculture. (Intégration de données textuelles pour la détection des risques naturels en agriculture). - Shufan Jiang (2022)

ChouBERT : Pré-entraînement d'un modèle de langue française pour le Crowdsensing avec des Tweets dans un contexte phytosanitaire. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (INFORSID, 2023)

Extracting Definienda in Mathematical Scholarly Articles with Transformers. - Shufan Jiang; Pierre Senellart (CoRR, 2023)

Improving text mining in plant health domain with GAN and/or pre-trained language model. - Shufan Jiang; Stéphane Cormier; Rafael Angarita; Francis Rousseaux (Frontiers Artif. Intell., 2023)

An Information Extraction and Thorough Understanding Method for Test-question Graph of Junior High School Physical Mechanical Motion. - Gang Zhao 004; Jie Chu; Shufan Jiang; Hui He (Int. J. Artif. Intell. Tools, 2023)

LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs. - Shufan Jiang; Bangyan Lin; Yue Wu; Yuan Gao (VTC Fall, 2024)

HAMLET: Hyperadaptive Agent-based Modeling for Live Embodied Theatrics. - Sizhou Chen; Shufan Jiang; Chi Zhang; Xiao-Lei Zhang; Xuelong Li (CoRR, 2025)

Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma. - Jianpeng Liu; Chuyun Shen; Shufan Jiang; Yanfei Wu; Jiaqi Tu; Yifang Bao; Haiqing Li; Na Wang; Ying Liu; Ji Xiong; Xueling Liu; Yuxin Li (J. Big Data, 2025)