Dr Zaiqiao Meng

  • Lecturer in Healthcare Technologies, BetaRecSys Project Collaborator (School of Computing Science)

Biography

I am currently a Lecturer (Assistant Professor) of the University of Glasgow, based within the IDA section of School of Compuing Science. Prior to that, I was a Postdoctoral Researcher (Research Associate) at the Language Technology Laboratory (LTL) of the University of Cambridge, working with Professor Nigel Collier; and a Postdoctoral Researcher (Research Assistant ) at the Terrier team of the University of Glasgow (UoG), working with Professor Iadh Ounis, Dr. Richard McCreadie and Dr. Craig Macdonald . I also have been a visiting PhD student at the MINE lab of KAUST, working with Prof. Xiangliang Zhang.

I obtained my Ph.D in computer science from Sun Yat-sen University (SYSU) in December 2018, working with Professor Hong Shen.

 

Research interests

My research focuses on the intersection of machine learning, knowledge graph, and natural language processing, with a current emphasis on the biomedical applications.

  • Geometric Deep Learning (Graph Neural Networks).
  • Knowledge Graph Construction, Utilisation and Reasoning.
  • Natural Language Processing.
  • Recommender Systems.
  • Healthcare Related Applications (e.g. Disease Outbreak Surveillance and Drug Discovery).

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019
Number of items: 10.

2022

Wang, Y., Xin, X., Meng, Z. , Jose, J. M. , Feng, F. and He, X. (2022) Learning Robust Recommenders Through Cross-Model Agreement. In: ACM Web Conference 2022, Lyon, France, 25-29 April 2022, pp. 2015-2025. ISBN 9781450390965 (doi: 10.1145/3485447.3512202)

Liang, S., Luo, Y. and Meng, Z. (2022) Profiling users for question answering communities via flow-based constrained co-embedding model. ACM Transactions on Information Systems, 40(2), 34. (doi: 10.1145/3470565)

Meng, Z. , Liu, F., Shareghi, E., Su, Y., Collins, C. and Collier, N. (2022) Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. In: 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 22-27 May 2022, (Accepted for Publication)

2021

Meng, Z. , McCreadie, R. , Macdonald, C. and Ounis, I. (2021) Variational Bayesian representation learning for grocery recommendation. Information Retrieval, 24(4-5), pp. 347-369. (doi: 10.1007/s10791-021-09397-1)

2020

Meng, Z. , Mccreadie, R. , Macdonald, C. and Ounis, I. (2020) Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. In: 14th ACM Conference on Recommender Systems (RecSys 2020), 22-26 Sep 2020, pp. 681-686. ISBN 9781450375832 (doi: 10.1145/3383313.3418479)

Meng, Z. et al. (2020) BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. In: 14th ACM Conference on Recommender Systems (RecSys 2020), 22-26 Sep 2020, pp. 588-590. ISBN 9781450375832 (doi: 10.1145/3383313.3411524)

Huang, H., Meng, Z. and Liang, S. (2020) Recurrent neural variational model for follower-based influence maximization. Information Sciences, 528, pp. 280-293. (doi: 10.1016/j.ins.2020.04.023)

Liu, S., Ounis, I. , Macdonald, C. and Meng, Z. (2020) A Heterogeneous Graph Neural Model for Cold-Start Recommendation. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2029-2032. ISBN 9781450380164 (doi: 10.1145/3397271.3401252)

2019

Meng, Z. , McCreadie, R. , Macdonald, C. and Ounis, I. (2019) Variational Bayesian Context-aware Representation for Grocery Recommendation. In: 13th ACM Conference on Recommender Systems (RecSys19) - CARS 2019 Workshop, Copenhagen, Denmark, 16-20 Sept 2019,

Meng, Z. , Liang, S., Fang, J. and Xiao, T. (2019) Semi-supervisedly Co-embedding Attributed Networks. In: Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 08-14 Dec 2019,

This list was generated on Wed Jul 6 05:37:40 2022 BST.
Number of items: 10.

Articles

Liang, S., Luo, Y. and Meng, Z. (2022) Profiling users for question answering communities via flow-based constrained co-embedding model. ACM Transactions on Information Systems, 40(2), 34. (doi: 10.1145/3470565)

Meng, Z. , McCreadie, R. , Macdonald, C. and Ounis, I. (2021) Variational Bayesian representation learning for grocery recommendation. Information Retrieval, 24(4-5), pp. 347-369. (doi: 10.1007/s10791-021-09397-1)

Huang, H., Meng, Z. and Liang, S. (2020) Recurrent neural variational model for follower-based influence maximization. Information Sciences, 528, pp. 280-293. (doi: 10.1016/j.ins.2020.04.023)

Conference Proceedings

Wang, Y., Xin, X., Meng, Z. , Jose, J. M. , Feng, F. and He, X. (2022) Learning Robust Recommenders Through Cross-Model Agreement. In: ACM Web Conference 2022, Lyon, France, 25-29 April 2022, pp. 2015-2025. ISBN 9781450390965 (doi: 10.1145/3485447.3512202)

Meng, Z. , Liu, F., Shareghi, E., Su, Y., Collins, C. and Collier, N. (2022) Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. In: 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 22-27 May 2022, (Accepted for Publication)

Meng, Z. , Mccreadie, R. , Macdonald, C. and Ounis, I. (2020) Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. In: 14th ACM Conference on Recommender Systems (RecSys 2020), 22-26 Sep 2020, pp. 681-686. ISBN 9781450375832 (doi: 10.1145/3383313.3418479)

Meng, Z. et al. (2020) BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. In: 14th ACM Conference on Recommender Systems (RecSys 2020), 22-26 Sep 2020, pp. 588-590. ISBN 9781450375832 (doi: 10.1145/3383313.3411524)

Liu, S., Ounis, I. , Macdonald, C. and Meng, Z. (2020) A Heterogeneous Graph Neural Model for Cold-Start Recommendation. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2029-2032. ISBN 9781450380164 (doi: 10.1145/3397271.3401252)

Meng, Z. , McCreadie, R. , Macdonald, C. and Ounis, I. (2019) Variational Bayesian Context-aware Representation for Grocery Recommendation. In: 13th ACM Conference on Recommender Systems (RecSys19) - CARS 2019 Workshop, Copenhagen, Denmark, 16-20 Sept 2019,

Meng, Z. , Liang, S., Fang, J. and Xiao, T. (2019) Semi-supervisedly Co-embedding Attributed Networks. In: Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 08-14 Dec 2019,

This list was generated on Wed Jul 6 05:37:40 2022 BST.

Teaching

  • Recommender Systems (H) (COMPSCI4075(21-22))
  • Recommender Systems (M) (COMPSCI5091(21-22))

 

Additional information

2022

Conference

  • Program Committee Member, WWW 2022
  • Program Committee Member, SDM 2022
  • Program Committee Member, ICML 2022
  • Program Committee Member, ICLR 2022
  • Program Committee Member, ECIR 2022
  • Program Committee Member, SIGIR 2022
  • Program Committee Member, AAAI 2022

Journal

  • Invited Reviewer, ACM Transactions on Information Systems
  • Invited Reviewer, IEEE Transactions on Neural Networks and Learning Systems
  • Invited Reviewer, Knowledge-Based Systems

 

2021

Conference

  • Program Committee Member, ICML 2021
  • Program Committee Member, RecSys 2021
  • Program Committee Member, SIGIR 2021
  • Program Committee Member, SIGKDD 2021

Journal

  • Invited Reviewer, IEEE Transactions on Neural Networks and Learning Systems
  • Invited Reviewer, ACM Transactions on Information Systems

2020

Conference

  • Program Committee Member, RecSys 2020
  • Program Committee Member, NeurIPS 2020
  • Program Committee Member, IJCAI 2020
  • Program Committee Member, The Web Conference 2021
  • Program Committee Member, ICLR 2021
  • Program Committee Member, ECIR 2021
  • Program Committee Member, AAAI 2021

Journal

  • Invited Reviewer, ACM Transactions on Information Systems
  • Invited Reviewer, IEEE Transactions on Knowledge and Data Engineering
  • Invited Reviewer, IEEE Transactions on Neural Networks and Learning Systems
  • Invited Reviewer, IEEE Transactions on Cybernetics
  • Invited Reviewer, ACM Computing Surveys

2019

Conference

  • Program Committee Member, ECIR 2020
  • Program Committee Member, AAAI 2020

Journal

  • Invited Reviewer, Information Sciences
  • Invited Reviewer, IEEE Access
  • Invited Journal Reviewer, IEEE Transactions on Fuzzy Systems

2018

Conference

  • External Reviewer, CIKM 2018
  • External Reviewer, WWW 2018
  • External Reviewer, SIGIR 2018
  • External Reviewer, EMNLP 2018
  • External Reviewer, IJCAI 2018
  • External Reviewer, WSDM 2019

Journal

  • Invited Reviewer, International Journal of Machine Learning and Cybernetics
  • Invited Reviewer, Concurrency and Computation: Practice and Experience

2017

Conference

  • External Reviewer, CIKM 2017
  • External Reviewer, SIGIR 2017
  • External Reviewer, WSDM 2017

Journal

  • External Reviewer, ACM Transactions on the Web

2016

Conference

  • Reviewer & Venue Organiser, PDCAT 2016