Zixuan Yi

According to our database, Zixuan Yi authored at least 19 papers between 2018 and 2025.

Collaborative distances:

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

2025

Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders.

Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie

Trans. Recomm. Syst., December, 2025

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation.

Zeyuan Meng, Zixuan Yi, Iadh Ounis

CoRR, July, 2025

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation.

Zeyuan Meng, Zixuan Yi, Iadh Ounis

CoRR, July, 2025

Low Rank Learning for Offline Query Optimization.

Zixuan Yi, Yao Tian, Zachary G. Ives, Ryan Marcus

Proc. ACM Manag. Data, June, 2025

A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation.

Zixuan Yi, Iadh Ounis

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Multi-modal Recipe for Improved Multi-domain Recommendation.

Zixuan Yi, Iadh Ounis

Proceedings of the Advances in Information Retrieval, 2025

2024

Contrastive Graph Prompt-tuning for Cross-domain Recommendation.

Zixuan Yi, Iadh Ounis, Craig MacDonald

ACM Trans. Inf. Syst., March, 2024

The Unreasonable Effectiveness of LLMs for Query Optimization.

Peter Akioyamen, Zixuan Yi, Ryan Marcus

CoRR, 2024

A Directional Diffusion Graph Transformer for Recommendation.

Zixuan Yi, Xi Wang, Iadh Ounis

CoRR, 2024

A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation.

Zixuan Yi, Iadh Ounis

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation.

Zeyuan Meng, Zixuan Yi, Iadh Ounis

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Knowledge Graph Cross-View Contrastive Learning for Recommendation.

Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi

Proceedings of the Advances in Information Retrieval, 2024

Low Rank Approximation for Learned Query Optimization.

Zixuan Yi, Yao Tian, Zachary G. Ives, Ryan Marcus

Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2024

2023

Large Multi-modal Encoders for Recommendation.

Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie

CoRR, 2023

Graph Contrastive Learning with Positional Representation for Recommendation.

Zixuan Yi, Iadh Ounis, Craig Macdonald

Proceedings of the Advances in Information Retrieval, 2023

2022

Multi-modal Graph Contrastive Learning for Micro-video Recommendation.

Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

An Ensemble Model for Tumor Type Identification and Cancer Origins Classification.

Chenzhao Feng, Tianyu Xiang, Zixuan Yi, Lingzhe Zhao, Sisi He, Kunming Tian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information.

Zaixiang Tang, Shufeng Lei, Xinyan Zhang, Zixuan Yi, Boyi Guo, Jake Y. Chen, Yueping Shen, Nengjun Yi

BMC Bioinform., 2019

2018

Pathway-structured predictive modeling for multi-level drug response in multiple myeloma.

Xinyan Zhang, Bingzong Li, Huiying Han, Sha Song, Hongxia Xu, Zixuan Yi, Yating Hong, Wenzhuo Zhuang, Nengjun Yi

Bioinform., 2018