Dr Grandee Lee

Selected Publications

• Edwin Seng Wee Yap, Angela Li Sin Tan, Rosemary Seva, Grandee Lee “Comparing Human and AI Performance in Classifying Workplace Incidents using HFACS” Asian Council on Ergonomics & Design, ACED 2026, Singapore
• Grandee Lee, Wang Yue, Lye Cheyee, Luke Peh “Generative-Evaluative Agreement: A Necessary Validity Criterion for LLM-Enabled Adaptive Assessment”, Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026), Association for Computational Linguistics. July, San Diego, California.
• "AI and the Future of Work and Learning – Strategic Responses for Inclusive Capability Development in Knowledge Economies”, Sweden–Singapore Symposium held 16–18 September 2025.
• (Best Paper Award) Edwin Seng Wee Yap, Angela Li Sin Tan, Rosemary Seva, Grandee Lee “Exploring the Integration of Human Factor Analysis and Classification System (HFACS), Fault Tree Analysis with LLMs for Accident Investigation.” 2025 International Conference on Human Factors Engineering and Interaction with AI systems.
• Zhenfang Hu, Grandee Lee and Susan Xu “Generate or Match? Towards Collaborative Interface for Translators in the Generative Era” The 29th International Conference on Asian Language Processing (IALP)
• Wanlong Liu, Li Zhou, DingYi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang and Wenyu Chen “Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction” The 62nd Annual Meeting of the Association for Computational Linguistics
• Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng and Haizhou Li “Revisiting Self-training for Few-shot Learning of Language Model,” EMNLP, 2021.
• Chen Zhang, Yiming Chen, Luis Fernando D’Haro, Yan Zhang, Grandee Lee, Haizhou Li “DynaEval: Unifying Turn and Dialogue Level Evaluation,” Association for Computational Linguistics (ACL), Long Paper, 2021
• Chen Zhang, Grandee Lee, Luis Fernando D’Haro, Haizhou Li “D-score: Holistic Dialogue Evaluation without Reference,” IEEE/ACM Transaction on Audio, Speech, and Language Processing, 2021
• Grandee Lee, Haizhou Li “Modeling Code-Switch Languages Using Bilingual Parallel Corpus,” Association for Computational Linguistics (ACL), Long Paper, 2020
• Xinyuan Zhou, Grandee Lee, Emre Yılmaz, Yanhua Long, Jiaen Liang, Haizhou Li “Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-based LVCSR,” INTERSPEECH, 2020
• Xuehao Zhou, Xiaohai Tian, Grandee Lee, Rohan Kumar Das, Haizhou Li “End-to-end code-switching TTS with cross-lingual language model,” ICASSP, IEEE, 2020
• Xianghu Yue, Grandee Lee, Emre Yılmaz, Fang Deng, Haizhou Li. “End-to-end code-switching ASR for low-resourced language pairs,” ASRU, 2019
• Grandee Lee, Xianghu Yue, Haizhou Li. “Linguistically motivated parallel data augmentation for code-switch language modeling,” INTERSPEECH, 2019
• Grandee Lee, Haizhou Li. “Word and class common space embedding for code-Switch language modeling,” ICASSP, IEEE, 2019
• Berrak Sisman, Grandee Lee, Haizhou Li. “Phonetically aware exemplar-based prosody transformation,” Proc. Odyssey 2018 The Speaker and Language Recognition Workshop, 2018
• Berrak Sisman, Grandee Lee, Haizhou Li, Kay Chen Tan. “On the analysis and evaluation of prosody conversion techniques,” Asian Language Processing (IALP), 2017
• Grandee Lee, Thi-Nga Ho, Eng-Siong Chng, Haizhou Li. “A review of the mandarin-english code-switching corpus: SEAME,” Asian Language Processing (IALP), 2017