Thin Cloud Removal Using Local Minimization and Logarithm Image Transformation in HSI Color Space. - Thanet Markchom; Rajalida Lipikorn (ICFSP, 2018)

UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation. - Thanet Markchom; Bhuvana Dhruva; Chandresh Pravin; Huizhi Liang (SemEval@COLING, 2020)

Augmenting Visual Information in Knowledge Graphs for Recommendations. - Thanet Markchom; Huizhi Liang (IUI, 2021)

UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning. - Thanet Markchom; Huizhi Liang (SemEval@ACL/IJCNLP, 2021)

UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth. - Emmanuel Osei-Brefo; Thanet Markchom; Huizhi Liang (SemEval@ACL/IJCNLP, 2021)

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

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations. - Thanet Markchom; Huizhi Liang; Jiaoyan Chen 001 (SemEval@NAACL, 2022)

TNE: A general time-aware network representation learning framework for temporal applications. - Huizhi Liang; Thanet Markchom (Knowl. Based Syst., 2022)

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

nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation. - Nicolay Rusnachenko; Thanet Markchom; Huizhi Liang (SemEval@ACL, 2023)

Scalable and explainable visually-aware recommender systems. - Thanet Markchom; Huizhi Liang; James M. Ferryman (Knowl. Based Syst., 2023)

NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT. - Thanet Markchom; Subin Jung; Huizhi Liang (SemEval@NAACL, 2024)

NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. - Feng Xiong; Thanet Markchom; Ziwei Zheng; Subin Jung; Varun Ojha 001; Huizhi Liang (SemEval@NAACL, 2024)

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. - Feng Xiong; Thanet Markchom; Ziwei Zheng; Subin Jung; Varun Ojha 001; Huizhi Liang (CoRR, 2024)

Review of Explainable Graph-Based Recommender Systems. - Thanet Markchom; Huizhi Liang; James M. Ferryman (CoRR, 2024)

CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs. - Jianfei Xu; Thanet Markchom; Huizhi Liang (CoRR, 2025)

UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation. - Thanet Markchom; Tong Wu; Liting Huang; Huizhi Liang (CoRR, 2025)

NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT. - Jiaying Hong; Thanet Markchom; Jianfei Xu; Tong Wu; Huizhi Liang (CoRR, 2025)

Explainable Meta-Path Based Recommender Systems. - Thanet Markchom; Huizhi Liang; James M. Ferryman (Trans. Recomm. Syst., 2025)