Blockchain-Based Data Ownership Confirmation Scheme in Industrial Internet of Things. - Guanglin Zhou; Biwei Yan; Guijuan Wang; Jiguo Yu (WASA (1), 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)

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (CoRR, 2021)

Cycle-Balanced Representation Learning For Counterfactual Inference. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (SDM, 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)

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (CoRR, 2022)

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (CoRR, 2022)

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001; Lina Yao 001 (CIKM, 2023)

Meta-learning for Estimating Multiple Treatment Effects with Imbalance. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (WISE, 2023)

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001; Kun Zhang 001 (CoRR, 2023)

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. - Zhongyi Han; Guanglin Zhou; Rundong He; Jindong Wang 001; Tailin Wu; Yilong Yin; Salman H. Khan 001; Lina Yao 001; Tongliang Liu; Kun Zhang 001 (CoRR, 2023)

Deep reinforcement learning in recommender systems: A survey and new perspectives. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (Knowl. Based Syst., 2023)

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Salman Khan 001; Xinbo Gao 001; Lina Yao 001 (CoRR, 2024)

Navigating Distribution Shifts in ML through Causality and Foundation Models. - Guanglin Zhou (2024)

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Tongliang Liu; Lina Yao 001; Kun Zhang 001 (IEEE Trans. Multim., 2025)

Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer. - Guanglin Zhou; Sebastiano Barbieri (CoRR, 2025)

Retrieval-Augmented Review Generation for Poisoning Recommender Systems. - Shiyi Yang 001; Xinshu Li; Guanglin Zhou; Chen Wang 008; Xiwei Xu 001; Limin Zhu 001; Lina Yao 001 (CoRR, 2025)