Guanglin Zhou

According to our database, Guanglin Zhou authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Retrieval-Augmented Review Generation for Poisoning Recommender Systems.

Shiyi Yang, Xinshu Li, Guanglin Zhou, Chen Wang, Xiwei Xu, Limin Zhu, Lina Yao

CoRR, August, 2025

Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer.

Guanglin Zhou, Sebastiano Barbieri

CoRR, February, 2025

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization.

Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang

IEEE Trans. Multim., 2025

2024

Navigating Distribution Shifts in ML through Causality and Foundation Models.

Guanglin Zhou

PhD thesis, 2024

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning.

Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao

CoRR, 2024

2023

Deep reinforcement learning in recommender systems: A survey and new perspectives.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang

Knowl. Based Syst., March, 2023

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.

Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang

CoRR, 2023

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions.

Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang

CoRR, 2023

Meta-learning for Estimating Multiple Treatment Effects with Imbalance.

Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems.

Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects.

Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

CoRR, 2022

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences.

Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

CoRR, 2022

A wireless multi-channel low-cost lab-on-chip algae culture monitor AIoT system for algae farm.

Yumin Liao, Ningmei Yu, Guanglin Zhou, Yinfeng Wu, Chen Wang

Comput. Electron. Agric., 2022

Cycle-Balanced Representation Learning For Counterfactual Inference.

Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang

CoRR, 2021

Blockchain-Assisted Collaborative Service Recommendation Scheme With Data Sharing.

Biwei Yan, Anming Dong, Baobao Chai, Yubing Han, Guanglin Zhou, Fangxin Zhao

IEEE Access, 2021

Blockchain-Based Data Ownership Confirmation Scheme in Industrial Internet of Things.

Guanglin Zhou, Biwei Yan, Guijuan Wang, Jiguo Yu

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021