A Formal Introduction to Batch-Integrated Gradients for Temporal Explanations. - Jamie Andrew Duell; Monika Seisenberger; Tianlong Zhong; Hsuan Fu; Xiuyi Fan (ICTAI, 2023)

Embrace Opportunities and Face Challenges: Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning. - Gaoxia Zhu; Xiuyi Fan; Chenyu Hou; Tianlong Zhong; Peter Sen Kee Seow; Shen-Hsing Annabel Chen; Preman Rajalingam; Low Kin Yew; Tan Lay Poh (CoRR, 2023)

Enhancing the Analysis of Interdisciplinary Learning Quality with GPT Models: Fine-Tuning and Knowledge-Empowered Approaches. - Tianlong Zhong; Chang Cai; Gaoxia Zhu; Min Ma (AIED Companion (2), 2024)

Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation. - Chenyu Hou; Gaoxia Zhu; Juan Zheng; Lishan Zhang; Xiaoshan Huang; Tianlong Zhong; Shan Li; Hanxiang Du; Chin Lee Ker (LAK, 2024)

Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks. - Tianlong Zhong; Gaoxia Zhu; Kang You Lim; Yew Soon Ong (CoRR, 2024)

Exploring behavioural patterns and their relationships with social annotation outcomes. - Shan Li; Xiaoshan Huang; Gaoxia Zhu; Hanxiang Du; Tianlong Zhong; Chenyu Hou; Juan Zheng (J. Comput. Assist. Learn., 2024)

The influences of ChatGPT on undergraduate students' demonstrated and perceived interdisciplinary learning. - Tianlong Zhong; Gaoxia Zhu; Chenyu Hou; Yuhan Wang; Xiuyi Fan (Educ. Inf. Technol., 2024)