A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (ICTIR, 2020)

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis; Siwei Liu 001; Yaxiong Wu 001; Xi Wang 012; Shangsong Liang; Yucheng Liang; Guangtao Zeng; Junhua Liang; Qiang Zhang 026 (RecSys, 2020)

University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. - Xiao Wang 043; Yaxiong Wu 001; Xi Wang 012; Craig Macdonald; Iadh Ounis (TREC, 2020)

Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (RecSys, 2021)

Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (CUI, 2022)

Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (RecSys, 2022)

Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (RecSys, 2023)

Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (Trans. Recomm. Syst., 2024)