Current position 

Professor and PhD Supervisor, School of Information Science and Technology, Guangdong University of Foreign Studies 
 

Subjects taught 

Data structures, Database principles, Data mining, Quantitative linguistics, Corpus linguistics 

 

Research direction 

Data mining, Natural language processing 

 

Publication  

Jiang,S.,Wang,L. (2016). Efficient feature selection based on correlation measure between continuous and discrete features. Information Processing Letters,116 ,203–215. 

Jiang,S.,Wang,L. (2016).A clustering-based feature selection via feature separability. Journal of Intelligent & Fuzzy Systems,31,927–937 

Lin,N., Chen,B., Fu,S., Lin,X.,Jiang,S.(2020).Multi-domain Sentiment Classification on Self-constructed Indonesian Dataset. CCF International Conference on Natural Language Processing and Chinese Computing, Springer, Cham, 789-801. 

Lin,N.,Chen,B.,Lin,X.Wattanachote,K., Jiang,S. (2021). A Framework for Indonesian Grammar Error Correction. Transactions on Asian and Low-Resource Language Information Processing, 20(4), 1-12. 

Jiang,S., Fu,Y., Lin,X., Lin,N. (2021). Pre-trained Language Models for Tagalog with Multi-source data. CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 210-223. 

Fu,Y., Lin,N.,Lin,X., Jiang，S.(2021).Towards corpus and model: Hierarchical structured-attention-based features for Indonesian named entity recognition. Journal of Intelligent & Fuzzy Systems, 2,1-12. 

Zheng,K., Lin,N., Jiang,S.(2021). Unsupervised Character Embedding Correction and Candidate Word Denoising. IEEE/ACM Transactions on Audio, Speech, and Language Processing,30, 76-86. 

Lin,N., Li,J., Jiang,S.(2021) A simple but effective method for Indonesian automatic text summarization.Connection Science, 1-15 

Jiang,S.,Fu,S.,Lin,N.,Fu,Y.(2022).Pretrained Models and Evaluation Data for the Khmer Language.Tsinghua Science and Technology,27,709–718 

Lin,N., Zhu,Y., Cai,X., Jiang,S.(2022). Exploring Chinese Lexical Differences Based on Synergetic-linguistic Model. Digital Scholarship in the Humanities,1-11. 

Fu,Y., Lin,N., Jiang,S.(2023).Cross-Lingual Named Entity Recognition for Heterogenous Languages.ACM/IEEE Transactions on Audio, Speech and Language Processing.,31,371-382 

Fu,Y., Lin,N., Yu,X., Jiang,S.(2023)Self-Training With Double Selectors for Low-Resource Named Entity Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing,31,1265-1275 

Lin,N., Fu,Y., Jiang,S.(2023).CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis.ACM/IEEE Transactions on Audio, Speech and Language Processing,31,2935-2946 

Fu,Y., Lin,N., Yang,Z.,Jiang,S.(2023).Towards Malay Named Entity Recognition: An Open-Source Dataset and A Multi-Task Framework.Connection Science,1-23 

Lin,N., Lin,X., Jiang,S.(2023).A Chinese GEC Model Based on Grammatical Generalization and Parameter Sharing.The Computer Journal,1-9 

 

Academic awards 

2020 Guangdong Province Distinguished Teacher 

 

Professional associations 

2006–present Chinese Computer Federation 

2010–present Chinese Association for Artificial Intelligence 

2016–present Chinese Information Processing Society of China 

2020–present Computer Academy of Guangdong