Towards Practical Open Knowledge Base Canonicalization. - Tien-Hsuan Wu; Zhiyong Wu 003; Ben Kao; Pengcheng Yin (CIKM, 2018)

Integrating Domain Knowledge in AI-Assisted Criminal Sentencing of Drug Trafficking Cases. - Tien-Hsuan Wu; Ben Kao; Anne S. Y. Cheung; Michael M. K. Cheung; Chen Wang; Yongxi Chen; Guowen Yuan; Reynold Cheng (JURIX, 2020)

MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases. - Tien-Hsuan Wu; Ben Kao; Zhiyong Wu 003; Xiyang Feng; Qianli Song; Cheng Chen (WISE (1), 2020)

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. - Zhiyong Wu 003; Ben Kao; Tien-Hsuan Wu; Pengcheng Yin; Qun Liu 001 (WSDM, 2020)

Semantic Search and Summarization of Judgments Using Topic Modeling. - Tien-Hsuan Wu; Ben Kao; Felix Chan; Anne S. Y. Cheung; Michael M. K. Cheung; Guowen Yuan; Yongxi Chen (JURIX, 2021)

Judgment Tagging and Recommendation Using Pre-Trained Language Models and Legal Taxonomy. - Tien-Hsuan Wu; Ben Kao; Henry W. H. Chan; Michael M. K. Cheung (JURIX, 2022)

CEMA - Cost-Efficient Machine-Assisted Document Annotations. - Guowen Yuan; Ben Kao; Tien-Hsuan Wu (AAAI, 2023)

Judgment Retrieval Made Easier Through Query Analysis. - Tien-Hsuan Wu; Ben Kao; Michael M. K. Cheung (JURIX, 2023)

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; Ben Kao (JURIX, 2024)

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; Yongxi Chen (Artif. Intell. Law, 2024)

QBR: A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public. - Mingruo Yuan; Ben Kao; Tien-Hsuan Wu (CoRR, 2025)

Adversarial Demonstration Learning for Low-resource NER Using Dual Similarity. - Guowen Yuan; Tien-Hsuan Wu; Lianghao Xia; Ben Kao (CoRR, 2025)