Tao Fang

Postdoc researcher

Email：fangtao@@gdiist.cn

Research interests:

Artificial Intelligence, NLP, LLM and Deep Learning

Personal Biography:

Graduated from the University of Macau in 2024 with a Ph.D. in Computer Science, specializing in cutting-edge fields such as artificial intelligence, natural language processing, machine translation, and text error correction. Published multiple academic papers in top international conferences and leading SCI journals. Served as a reviewer for the ARR platform and prestigious AI conferences and journals including ACL, EMNLP, and AAAI, and participated as a core member in several funded projects.

Representative Publications:

[1]. T. Fang, TY. Zhang, DF. Wong, KY. Jin, LS. Zhang, Q. Zhang, TJ. Li, JL. Hou, LS. Chao. LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning. (Expert Systems with Applications (ESWA) 2025, SCI-1区/ JCR-Q1, TOP期刊，IF=7.5).

[2]. KY. Jin, Y P. Wang, T. Fang, L. Santos, X. Yang, SK Im. SSCM: Self-Supervised Critical Model for Reducing Hallucinations in Chinese Financial Text Generation. (ICASSP 2025, CCF-B).

[3]. KX. Lan*, T Fang*, DF. Wong, YB Zu, LS. Chao, GF. Zhao. FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. (ACL 2024, Long Paper, CCF-A, *共同一作).

[4]. T. Fang, J.P. Hu, DF. Wong, X. Wan, L.S. Chao, and TH. Chang. Improving Grammatical Error Correction with Multimodal Feature Integration. (ACL 2023, Long Paper, CCF-A).

[5]. T. Fang, XB. Liu, DF. Wong, RZ. Zhan, L. Ding, LS. Chao, DC. Tao, and M. Zhang. TransGEC: Improving Grammatical Error Correction with Translationese. (ACL 2023, Long Paper, CCF-A).