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Guanglin Zhou
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2020 – today
- 2024
- [b1]Guanglin Zhou:
Navigating Distribution Shifts in ML through Causality and Foundation Models. University of New South Wales, Sydney, Australia, 2024 - [i8]Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang:
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. CoRR abs/2401.09716 (2024) - [i7]Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao:
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. CoRR abs/2405.12217 (2024) - 2023
- [j3]Xiaocong Chen
, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264: 110335 (2023) - [c4]Guanglin Zhou
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM 2023: 3564-3573 - [c3]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE 2023: 886-895 - [i6]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang:
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR abs/2301.12351 (2023) - [i5]Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang:
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR abs/2312.07424 (2023) - 2022
- [j2]Yumin Liao, Ningmei Yu, Guanglin Zhou, Yinfeng Wu, Chen Wang:
A wireless multi-channel low-cost lab-on-chip algae culture monitor AIoT system for algae farm. Comput. Electron. Agric. 193: 106647 (2022) - [c2]Guanglin Zhou
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM 2022: 442-450 - [i4]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR abs/2208.06746 (2022) - [i3]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR abs/2208.06748 (2022) - 2021
- [j1]Biwei Yan
Blockchain-Assisted Collaborative Service Recommendation Scheme With Data Sharing. IEEE Access 9: 40871-40883 (2021) - [c1]Guanglin Zhou, Biwei Yan, Guijuan Wang, Jiguo Yu:
Blockchain-Based Data Ownership Confirmation Scheme in Industrial Internet of Things. WASA (1) 2021: 121-132 - [i2]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR abs/2109.03540 (2021) - [i1]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. CoRR abs/2110.15484 (2021)
Coauthor Index
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