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Zaiqiao Meng
Zaiqiao Meng
Lecturer (Assistant Professor) at University of Glasgow
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Self-alignment Pre-training for Biomedical Entity Representations
F Liu, E Shareghi, Z Meng, M Basaldella, N Collier
NAACL 2021, 2021
2672021
Co-embedding attributed networks
Z Meng, S Liang, H Bao, X Zhang
Proceedings of the twelfth ACM international conference on web search and …, 2019
1722019
Community-based influence maximization for viral marketing
H Huang, H Shen, Z Meng, H Chang, H He
Applied Intelligence 49, 2137-2150, 2019
1162019
A heterogeneous graph neural model for cold-start recommendation
S Liu, I Ounis, C Macdonald, Z Meng
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1012020
Exploring data splitting strategies for the evaluation of recommendation models
Z Meng, R McCreadie, C Macdonald, I Ounis
Proceedings of the 14th ACM conference on recommender systems, 681-686, 2020
812020
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
G Chen, F Liu, Z Meng, S Liang
EMNLP 2022, 2022
622022
Tacl: Improving BERT pre-training with token-aware contrastive learning
Y Su, F Liu, Z Meng, T Lan, L Shu, E Shareghi, N Collier
NAACL 2022, 2021
502021
Learning dynamic embeddings for temporal knowledge graphs
S Liao, S Liang, Z Meng, Q Zhang
WSDM 2021, 535-543, 2021
462021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
Z Meng, F Liu, TH Clark, E Shareghi, N Collier
EMNLP 2021, 2021
412021
Graph neural pre-training for recommendation with side information
S Liu*, Z Meng*, C Macdonald, I Ounis
ACM Transactions on Information Systems 41 (3), 1-28, 2023
39*2023
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
Z Meng, F Liu, E Shareghi, Y Su, C Collins, N Collier
ACL 2022, 2022
38*2022
Semi-supervisedly co-embedding attributed networks
Z Meng, S Liang, J Fang, T Xiao
NeurIPS 2019, 2019
352019
Hierarchical neural variational model for personalized sequential recommendation
T Xiao, S Liang, Z Meng
The World Wide Web Conference, 3377-3383, 2019
322019
Learning robust recommenders through cross-model agreement
Y Wang, X Xin, Z Meng, JM Jose, F Feng, X He
Proceedings of the ACM Web Conference 2022, 2015-2025, 2022
31*2022
Community-based influence maximization in attributed networks
H Huang, H Shen, Z Meng
Applied Intelligence 50 (2), 354-364, 2020
302020
Few-Shot Table-to-Text Generation with Prototype Memory
Y Su, Z Meng, S Baker, N Collier
EMNLP 2021, 2021
292021
Jointly learning representations of nodes and attributes for attributed networks
Z Meng, S Liang, X Zhang, R McCreadie, I Ounis
ACM Transactions on Information Systems (TOIS) 38 (2), 1-32, 2020
292020
Competitive and complementary influence maximization in social network: A follower’s perspective
H Huang, Z Meng, H Shen
Knowledge-Based Systems 213, 106600, 2021
262021
Bayesian deep collaborative matrix factorization
T Xiao, S Liang, W Shen, Z Meng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5474-5481, 2019
242019
Dynamic bayesian metric learning for personalized product search
T Xiao, J Ren, Z Meng, H Sun, S Liang
Proceedings of the 28th ACM International Conference on Information and …, 2019
222019
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