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)

Deep Reinforced Query Reformulation for Information Retrieval. - Xiao Wang 043; Craig Macdonald; Iadh Ounis (CoRR, 2020)

Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. - Xiao Wang 043; Craig Macdonald; Nicola Tonellotto; Iadh Ounis (ICTIR, 2021)

Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval. - Xiao Wang 043 (SIGIR, 2022)

An Inspection of the Reproducibility and Replicability of TCT-ColBERT. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (SIGIR, 2022)

Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (TREC, 2022)

Improving zero-shot retrieval using dense external expansion. - Xiao Wang 043; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2022)

Effective Contrastive Weighting for Dense Query Expansion. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (ACL (1), 2023)

Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. - Xiao Wang 043; Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2023)

Generative Query Reformulation for Effective Adhoc Search. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (CoRR, 2023)

ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. - Xiao Wang 043; Craig MacDonald; Nicola Tonellotto; Iadh Ounis (ACM Trans. Web, 2023)

Unsupervised dense retrieval with conterfactual contrastive learning. - Haitian Chen; Qingyao Ai; Xiao Wang 043; Yiqun Liu 001; Fen Lin; Qin Liu (CoRR, 2024)