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Guanglin Zhou
Guanglin Zhou
University of New South Wales
Zweryfikowany adres z unsw.edu.au
Tytuł
Cytowane przez
Cytowane przez
Rok
A survey of deep reinforcement learning in recommender systems: A systematic review and future directions
X Chen, L Yao, J McAuley, G Zhou, X Wang
arXiv preprint arXiv:2109.03540, 2021
512021
Deep reinforcement learning in recommender systems: A survey and new perspectives
X Chen, L Yao, J McAuley, G Zhou, X Wang
Knowledge-Based Systems 264, 110335, 2023
462023
Urban congestion areas prediction by combining knowledge graph and deep spatio-temporal convolutional neural network
G Zhou, F Chen
2019 4th International Conference on Electromechanical Control Technology …, 2019
132019
Emerging synergies in causality and deep generative models: A survey
G Zhou, S Xie, G Hao, S Chen, B Huang, X Xu, C Wang, L Zhu, L Yao, ...
arXiv preprint arXiv:2301.12351, 2023
12*2023
Cycle-balanced representation learning for counterfactual inference
G Zhou, L Yao, X Xu, C Wang, L Zhu
SDM 2022, 442-450, 2022
112022
How Well Does GPT-4V (ision) Adapt to Distribution Shifts? A Preliminary Investigation
Z Han*, G Zhou*, R He*, J Wang, T Wu, Y Yin, S Khan, L Yao, T Liu, ...
ICLR 2024, Mathematical and Empirical Understanding of Foundation Models, 2023
22023
Contrastive counterfactual learning for causality-aware interpretable recommender systems
G Zhou, C Huang, X Chen, X Xu, C Wang, L Zhu, L Yao
CIKM 2023, 3564-3573, 2023
22023
Meta-learning for Estimating Multiple Treatment Effects with Imbalance
G Zhou, L Yao, X Xu, C Wang, L Zhu
WISE 2023, 886-895, 2023
2*2023
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
G Zhou, Z Han, S Chen, B Huang, L Zhu, T Liu, L Yao, K Zhang
arXiv preprint arXiv:2401.09716, 2024
2024
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