Zaiqiao Meng (蒙在桥)

Zaiqiao Meng (蒙在桥)

Lecturer (Assistant Professor)

University of Glasgow

University of Cambridge

Biography

I currently hold the position of Lecturer (Assistant Professor) at the University of Glasgow, within the esteemed Information Retrieval Group and IDA section of the School of Computing Science. Additionally, I serve as an Affiliated Lecturer at the Language Technology Lab (LTL) at the University of Cambridge.

Previously, I conducted research as a Postdoctoral Researcher at the Language Technology Lab (LTL) of the University of Cambridge and as a Postdoctoral Researcher at the Information Retrieval group of the University of Glasgow. I have also been a visiting PhD student at the MINE lab of KAUST.

My research topics includes, Natural Language Processing, Information Retrieval, LLMs, AI Agents, as well as Knowledge (Graphs) Extraction, Representation & Reasoning Learning, particularly within BioMedical applications (AI4Biomedicine).

I co-lead the Glasgow AI4BioMed Lab, where we work on natural language processing, knowledge graphs, language models, and more to extract and infer biomedical knowledge. If you are interested in collaborating or pursuing a PhD with us, please refer to this post and this page for more details.

Interests
  • Natural Language Processing
  • AI for BioMedicine
  • Information Retrieval
  • Knowledge Graph
  • Geometric Deep Learning
  • Recommender Systems
  • Machine Learning
Education
  • PhD in Computer Science, 2018

    Sun Yat-sen University

News

  • 2024-06-10: Two papers have been accepted at Briefings in Bioinformatics, on Automatic Biochemical Pathway Prediction and Gene-disease Association Prediction.
  • 2024-05-16: Two papers were accepted by ACL 2024 on Retrieval-Augmented Generation with Knowledge Graph Generation and Medical Open-Domain Question Answering.
  • 2024-03-28: As the co-organization chair, we are organising the KEIR@ECIR 2024 workshop in Glasgow, UK.
  • 2024-03-24: As the local organization chair, we are organising the ECIR 2024 conference in Glasgow, UK.
  • 2024-01-16: Our paper entitled “CLEX: Continuous Length Extrapolation for Large Language Models” was accepted by ICLR 2024.
  • 2023-12-17: Our paper entitled “BAND: Biomedical Alert News Dataset” was accepted by AAAI 2024.
  • 2023-12-10: Invited to serve as one of the Area Chairs for NAACL 2024.
  • 2023-10-9: Two papers were accepted by EMNLP 2023 on Unsupervised Biomedical NER and Multimodal Generative Language Model.
  • 2023-09-26: Our survey paper on Knowledge Graph Embedding was accepted by ACM Computing Surveys.
  • 2023-08-14: Our survey paper on Multimodal Language Modelling was accepted by ACM Transactions on Multimedia Computing, Communications, and Applications
  • 2023-08-05: One paper was accepted by CIKM 2023 on Knowledge-enhance Passage Ranking.
  • 2023-06-26: Invited to serve as one of the Area Chairs for the track “Interpretability, Interactivity and Analysis of Models for NLP” of EMNLP 2023.
  • 2023-06-09: I gave an invited talk on “Probing and Infusing Biomedical Knowledge for Pre-trained Language Models” in “NLP for Social Good (NSG) Symposium 2023” hosted by Dr Procheta Sen at the University of Liverpool.
  • 2023-05-22: One paper was accepted by Matching ACL 2023 on Generative Event Extraction.
  • 2023-05-02: One paper was accepted by ACL 2023 on Few-shot NER.
  • 2023-03-02: One paper was accepted by Transactions on the Web (TWEB) on Conversational Recommendation Systems.
  • 2023-02-10: I gave a guest lecture on “Words Sense and WordNet” for the “LI18 - Computational Linguistics” course offered by Professor Nigel Collier at the University of Cambridge.
  • 2023-01-24: I am an Area Chair for the “Interpretability and Analysis of Models for NLP” track of ACL 2023.
  • 2023-01-21: One paper was accepted by EACL 2023 on Deductive Reasoning Analysis of Pretrained models. The preprint of it can be found in this link.
  • 2022-10-25: I will be attending EMNLP 2022 (Abu Dhabi, UAE 🇦🇪) in person.
  • 2022-10-06: One paper was accepted by EMNLP 2022 on Parameter-Efficient Tuning.
  • 2022-10-04: Our paper entitled Graph Neural Pre-training for Recommendation with Side Information was accepted at ACM TOIS.

Current Members

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Francesco Dalla Serra

University of Glasgow

PhD student (2023.10 - )

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Gan Wang

University of Glasgow

PhD student (2023.10 - )

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Jinyuan Fang

University of Glasgow

PhD student (2022.11 - )

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Meiru Zhang

University of Cambridge

PhD student (2021.10 - )

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Shen Dong

University of Glasgow

PhD student (2024.01 - )

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Tanatapanun (Mark) Pongkemmanun

University of Glasgow

BSc/MSc student (2023.7 - )

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Xi Zhang

University of Glasgow

PhD student (2023.10 - )

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Xinhao Yi

University of Glasgow

PhD student (2023.10 - )

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Zhaohan Meng

University of Glasgow

PhD student (2023.10 - )

Past Lab Members

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Giacomo Frisoni

University of Bologna

Visiting PhD (2022.9 - 2022.12)

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Guanzhen Chen

Sun Yat-sen Univeristy

Research Intern (2022.June - 2022.Sep)

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Varsha Joshy

University of Glasgow

BSc/MSc student (2022.6 - 2022.9) Now Senior Software Engineer at JPMC

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William Traynor

University of Glasgow

BSc/MSc student (2022.10 - 2023.9) Now Research & Development Graduate at Canon Medical Research Europe

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Xinhao Yi

University of Glasgow

BSc/MSc student (2022.6 - 2023.10) Now PhD at University of Glasgow

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Zhaohan Meng

University of Glasgow

BSc/MSc student (2022.7 - 2023.10) Now PhD at University of Glasgow

Projects

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Beta-RecSys
An open source project for Building, Evaluating and Tuning Automated Recommender Systems.
Beta-RecSys
BioCaster
Alerting of disease outbreaks from global news media!
BioCaster

Professional Service

Conference/Workshop Organisers:

Conference Area Chair/Senior Program Committee:

  • The Annual Meeting of the Association for Computational Linguistics (ACL), 2023
  • The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Conference Program Committee/Reviewer:

  • Conference On Language Modeling (COLM), 2024
  • International Conference on Machine Learning (ICML), 2021, 2022, 2023, 2024
  • The Conference on Neural Information Processing Systems (NeurIPS), 2020, 2021, 2022, 2023, 2024
  • The International Conference on Learning Representations (ICLR), 2021, 2022, 2023, 2024
  • The Annual Meeting of the Association for Computational Linguistics (ACL), 2022, 2023, 2024
  • ACL Rolling Review, 2021, 2022, 2023, 2024
  • The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018, 2021, 2022
  • The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
  • The ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018, 2021, 2022, 2023, 2024
  • The Conference on Information and Knowledge Management (CIKM), 2017, 2018
  • The ACM Conference on Web Search and Data Mining (WSDM), 2018, 2019
  • The European Conference on Information Retrieval (ECIR), 2020, 2021, 2022, 2023, 2024
  • The ACM Web Conference (WWW), 2018, 2021, 2022, 2023,2024
  • The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2021, 2022
  • The AAAI Conference on Artificial Intelligence (AAAI), 2020, 2021, 2022, 2023, 2024
  • The ACM Recommender Systems Conference (RecSys), 2020, 2021, 2022
  • International Joint Conference on Artificial Intelligence (IJCAI), 2018, 2020, 2022
  • The SIAM International Conference on Data Mining (SDM), 2022

Journal Editor/Guest Editor:

  • Special Issue of Electronics (ISSN 2079-9292) journal on “Natural Language Processing and Information Retrieval”.

Journal Invited Reviewer:

  • ACM Transactions on Information Systems
  • ACM Transactions on the Web
  • ACM Computing Surveys
  • Information Retrieval Journal
  • ACM Transactions on Recommender Systems
  • Computers in Biology and Medicine
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Cybernetics
  • Information Sciences
  • World Wide Web
  • IEEE Transactions on Fuzzy Systems
  • IEEE Access
  • International Journal of Machine Learning and Cybernetics
  • Concurrency and Computation: Practice and Experience

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