Guanglin Zhou

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Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South WalesVerifierad e-postadress på csiro.au
Liming ZhuResearch Director at CSIRO’s Data61 & Prof at University of New South WalesVerifierad e-postadress på csiro.au
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verifierad e-postadress på cmu.edu
Biwei HuangUCSDVerifierad e-postadress på andrew.cmu.edu
Zhongyi HanKAUSTVerifierad e-postadress på kaust.edu.sa
shiming chenPhD student, Huazhong University of Science and TechnologyVerifierad e-postadress på hust.edu.cn
Salman KhanMBZUAI, Australian National UniversityVerifierad e-postadress på anu.edu.au
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIVerifierad e-postadress på sydney.edu.au
Shaoan XieCarnegie Mellon UniversityVerifierad e-postadress på cmu.edu

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Guanglin Zhou

University of Queensland

Verifierad e-postadress på uq.edu.au

Causality Distribution shifts AI in healthcare


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	88	2023
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	61	2021
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	21*	2023
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	18	2019
Cycle-balanced representation learning for counterfactual inference G Zhou, L Yao, X Xu, C Wang, L Zhu SDM 2022, 442-450, 2022	17	2022
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 Workshop on Mathematical and Empirical Understanding of Foundation …, 2024	10	2024
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	5	2023
Meta-learning for Estimating Multiple Treatment Effects with Imbalance G Zhou, L Yao, X Xu, C Wang, L Zhu WISE 2023, 886-895, 2023	5*	2023
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning G Zhou, Z Han, S Chen, B Huang, L Zhu, S Khan, X Gao, L Yao arXiv preprint arXiv:2405.12217, 2024	3	2024
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 IEEE Transactions on Multimedia, 2024	3	2024
Navigating Distribution Shifts in ML through Causality and Foundation Models G Zhou UNSW Sydney, 2024		2024

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