Biography
I did my PhD at the Terrier Team within the Glasgow Information Retrieval Group, University of Glasgow, supervised by Professor Craig Macdonald and Professor Iadh Ounis. My research focuses on Information Retrieval, Deep Learning, Reinforcement Learning and Natural Language Processing. My expertise lies in developing innovative solutions for query understanding, document ranking, and semantic search.
My PhD thesis, titled “Neural Pseudo-Relevance Feedback Models for Information Retrieval”, can be found here.
My future research interest lies in: Retrieval Augmented Generation, Generative Information Retrieval etc.
News
[November 24, 2023] I have successfully defended my thesis in the viva.
[November 2023] I was employed as a volunteer at the SIGIR2023-AP conference.
[July 2023] SIGIR 2023 GenIR Workshop - Virtual Attendance (Taiwan Entry Permit Issue) Generative Query Reformulation for Effective Adhoc Search
[July 2023] SIGIR 2023 - Virtual Attendance (Taiwan Entry Permit Issue) Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to ColSTAR
[July 2023] ACL 2023 - Virtual Attendance - (Visa Issue) Effective Contrastive Weighting for Dense Query Expansion
[February 2023] Barclays Bank ‑ Poster Presentation (In‑person) Pseudo‑Relevance Feedback for Multiple Representation Dense Retrieval
[December 2022] TREC 2022 Deep Learning Track - Oral Presentation (Online Talk during Pandemic) *Experiments with Adaptive ReRanking and ColBERT‑PRF: University of Glasgow Terrier Team at TREC DL 2022 *
[July 2022] SIGIR 2022 ‑ Full Paper presentation (In-person) Inspection of the Reproducibility and Replicability of TCT‑ColBERT
[May 2022] Invited Seminar Talk (Online Talk during Pandemic) ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval
[April 2022] Invited Seminar Talk (Online Talk during Pandemic) Pseudo-Relevance Feedback in the Era of Dense Retrieval
[March 2022] Invited Seminar Talk (Online Talk during Pandemic) Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
[March 2022] University of Glasgow - Poster Contest (1st Prize) Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
[December 2021] TREC 2021 Deep Learning Track - Oral Presentation (Online Talk during Pandemic) University of Glasgow Terrier Team at TREC 2021 Deep Learning Track
[May 2021] ICTIR 2021 - Full Paper Presentation - (Online Talk during Pandemic) Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
[December 2020] TREC 2020 Deep Learning Track - Oral Presentation (Online Talk during Pandemic) University of Glasgow Terrier Team at TREC 2020 Deep Learning Track
[May 2020] SIGIR DRL4IR Workshop 2019 - Full Paper Presentation (Online Talk during Pandemic) Deep Reinforced Query Reformulation for Information Retrieval