UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis. - Zehao Liu 002; Emmanuel Osei-Brefo; Siyuan Chen; Huizhi Liang 001 (SemEval@COLING, 2020)

Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. - Xiao Li; Huizhi Liang 001; Zehao Liu 002 (CIKM, 2021)

UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection. - Zehao Liu 002; Carl Haines; Huizhi Liang 001 (SemEval@ACL/IJCNLP, 2021)

Attractiveness Analysis for Health Claims on Food Packages. - Xiao Li; Huizhi Liang 001; Chris Ryder; Rodney Jones; Zehao Liu 002 (AusDM, 2022)

Relation-aware Blocking for Scalable Recommendation Systems. - Huizhi Liang 001; Zehao Liu 002; Thanet Markchom (CIKM, 2022)

ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. - Jamie Morris; Zehao Liu 002; Huizhi Liang 001; Sidhartha Nagala; Xia Hong 001 (CIKM, 2023)

UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. - Thanet Markchom; Huizhi Liang 001; Joyce Gitau; Zehao Liu 002; Varun Ojha 001; Lee Taylor; Jake Bonnici; Abdullah Alshadadi (SemEval@ACL, 2023)

Cross-Metapath Based Hashing for Recommendation Systems. - Zehao Liu 002; Huizhi Liang 001 (LOD (1), 2024)

Relation-aware multimodal data hashing for scalable recommendation systems. - Zehao Liu 002; Huizhi Liang 001; Varun Ojha 001 (Data Min. Knowl. Discov., 2026)