Guanglin Zhou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Recommender Systems

Preliminary Investigation

Future Directions

User Preferences

Top Venues

Comput. Electron. Agric.

Publications

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 (2024)
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 (2024)
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 (2023)
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM (2023)
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 (2023)
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 (2023)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE (2023)
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 (2022)
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 (2022)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM (2022)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR (2022)
Guanglin Zhou, Biwei Yan, Guijuan Wang, Jiguo Yu
Blockchain-Based Data Ownership Confirmation Scheme in Industrial Internet of Things. WASA (1) (2021)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Cycle-Balanced Representation Learning For Counterfactual Inference. CoRR (2021)
Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR (2021)
Biwei Yan, Anming Dong, Baobao Chai, Yubing Han, Guanglin Zhou, Fangxin Zhao
Blockchain-Assisted Collaborative Service Recommendation Scheme With Data Sharing. IEEE Access 9 (2021)