Fei Jiang

According to our database, Fei Jiang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches.

Xin Wang, Chi Ma, Shaobin Chen, Pu Wang, Menglei Zhou, Junyi Qiu, Qiaorui Chen, Jiayu Sun, Shijie Liu, Zehuan Wang, Lei Yu, Chuan Liu, Fei Jiang, Wei Lin, Hao Wang, Jiawei Jiang, Xiao Yan

CoRR, April, 2026

CAT-ID²: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce.

Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan.

Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin, Jiaxin Mao

Proceedings of the Advances in Information Retrieval, 2026

2025

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan.

Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, Menglei Zhou, Lei Yu, Chuan Liu, Wei Lin

CoRR, May, 2025

MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan.

Yuxiang Wang, Xiao Yan, Chi Ma, Mincong Huang, Xiaoguang Li, Lei Yu, Chuan Liu, Ruidong Han, He Jiang, Bin Yin, Shangyu Chen, Fei Jiang, Xiang Li, Wei Lin, Haowei Han, Bo Du, Jiawei Jiang

CoRR, May, 2025

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan.

Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, MengLei Zhou, Lei Yu, Chuan Liu, Wei Lin

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search.

Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Zenghua Xia, Fei Jiang, Fuzhen Zhuang, Wei Lin, Zhao Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao

CoRR, 2024

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.

Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin

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

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

Interactive Recommendation System for Meituan Waimai.

Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022