I am a Lecturer at the Innovation Academy, Faculty of Engineering at the University of Hong Kong. My work centers on leading out-of-classroom student development initiatives, empowering emerging engineers to translate theory into real-world impact through hands-on, multidisciplinary projects.

Beyond standard coursework, I design and mentor experiential learning programs, technical competitions, and collaborative engineering challenges. I actively welcome partnerships with educators, industry practitioners, and student teams. Please feel free to reach out to explore potential collaborations.

Publications

Repurposing Student-initiated Workshops for Interdisciplinary Engineering Challenges

Lei Yang, Chun Kit Chan, Ian Leong Ting Lo, Tien-Hsuan Wu and Chun Kit Chui. Repurposing Student-initiated Workshops for Interdisciplinary Engineering Challenges. 2026 ASEE Annual Conference.

What Comes Next After Making GenAI Tools Available in Academic Makerspaces?

Chun Kit Chui and Tien-Hsuan Wu. What Comes Next After Making GenAI Tools Available in Academic Makerspaces? 2026 ASEE Annual Conference.

Developing AI Applications Through International Partnership: An Experiential Learning Approach in Engineering Education

Tien-Hsuan Wu, Lei Yang, Chun Kit Chui, Ben Kao and Raymond Ng. Developing AI Applications Through International Partnership: An Experiential Learning Approach in Engineering Education. 2026 ASEE Annual Conference.

GenAI for Social Work Field Education: Client Simulation with Real-Time Feedback

James Sungarda, Hongkai Liu, Zilong Zhou, Tien-Hsuan Wu, Johnson Chun-Sing Cheung, Ben Kao. GenAI for Social Work Field Education: Client Simulation with Real-Time Feedback. In BigData 2025.

QBR - A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public

Mingruo Yuan, Ben Kao and Tien-Hsuan Wu. QBR - A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public. In IJCAI 2025.

Overseas Team Building for Student Leaders in Academic Makerspaces

Chun Kit Chui, Match Wai Lun Ko, Kei Yiu Mo, Chun Kit Chan, Lei Yang and Tien-Hsuan Wu. Overseas Team Building for Student Leaders in Academic Makerspaces. 2025 ASEE Annual Conference.

Equipping Academic Makerspaces with Artificial Intelligence Elements

Lei Yang, Tien-Hsuan Wu, Chun Kit Chui and Chun Kit Chan. Equipping Academic Makerspaces with Artificial Intelligence Elements. 2025 ASEE Annual Conference.

A Multi-Stage Prompting and RAG Approach to Generating Legal Analysis in Common Law Systems

Titus T.H. Ng, Tien-Hsuan Wu, Benjamin Minhao Chen, Yongxi Chen and Ben Kao. A Multi-Stage Prompting and RAG Approach to Generating Legal Analysis in Common Law Systems. In Legal Knowledge and Information Systems: JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11–13 December 2024 (Vol. 395, p. 387). IOS Press.

Judgment Retrieval Made Easier Through Query Analysis

Tien-Hsuan Wu, Ben Kao and Michael MK Cheung. Judgment Retrieval Made Easier Through Query Analysis. In Legal Knowledge and Information Systems: JURIX 2023: The Thirty-sixth Annual Conference, Maastricht, Netherlands, 18–20 December 2023 (Vol. 379, p. 299). IOS Press.

Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model

Mingruo Yuan, Ben Kao, Tien-Hsuan Wu, Michael M. K. Cheung, Henry W. H. Chan, Anne S. Y. Cheung, Felix W. H. Chan and Yongxi Chen. Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model. Artificial Intelligence and Law, 1-37.

CEMA - Cost-Efficient Machine-Assisted Document Annotations

Guowen Yuan, Ben Kao and Tien-Hsuan Wu. CEMA–Cost-Efficient Machine-Assisted Document Annotations. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 9, pp. 11043-11050).

Judgment Tagging and Recommendation Using Pre-trained Language Models and Legal Taxonomy

Tien-Hsuan Wu, Ben Kao, Henry Chan and Michael MK Cheung. Judgment Tagging and Recommendation Using Pre-trained Language Models and Legal Taxonomy. In Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022 (Vol. 362, p. 255). IOS Press.

Semantic Search and Summarization of Judgments Using Topic Modeling

Tien-Hsuan Wu, Ben Kao, Felix Chan, Anne SY Cheung, Michael MK Cheung, Guowen Yuan and Yongxi Chen. Semantic Search and Summarization of Judgments Using Topic Modeling. In Legal Knowledge and Information Systems: JURIX 2021: The Thirty-fourth Annual Conference, Vilnius, Lithuania, 8-10 December 2021 (Vol. 346, p. 100). IOS Press.

Integrating Domain Knowledge in AI-assisted Criminal Sentencing of Drug Trafficking Cases

Tien-Hsuan Wu, Ben Kao, Anne SY Cheung, Michael MK Cheung, Chen Wang, Yongxi Chen, Guowen Yuan and Reynold Cheng. Integrating Domain Knowledge in AI-assisted Criminal Sentencing of Drug Trafficking Cases. In Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9-11, 2020 (Vol. 334, p. 174). IOS Press.

MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases

Tien-Hsuan Wu, Ben Kao, Zhiyong Wu, Xiyang Feng, Qianli Song, Cheng Chen. MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases. Web Information Systems Engineering – WISE 2020. Lecture Notes in Computer Science, pages 315-327. Springer, 2020.

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems

Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu. PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. Proceedings of the 13th International Conference on Web Search and Data Mining, pages 663-671. ACM, 2020.

Towards Practical Open Knowledge Base Canonicalization

Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, and Pengcheng Yin. Towards practical open knowledge base canonicalization. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pages 883-892. ACM, 2018.