Maofei Que

According to our database, Maofei Que authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce.

Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Zhuoran Zhuang

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

CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning.

Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen, Pan Li

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

2025

NAM: A Normalization Attention Model for Personalized Product Search In Fliggy.

Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang

CoRR, June, 2025

Towards Explainable Search Results in E-commerce.

Xianyang Tian, Xiang Xu, Chao Wang, Tong Ruan, Baohua Wu, Maofei Que, Shenghua Ni, Zhuoran Zhuang, Jingping Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

NAM: A Normalization Attention Model for Personalized Product Search In Fliggy.

Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations.

Pan Li, Maofei Que, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., February, 2024

2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.

Haiyang Xu, Qinghao Ye, Xuan Wu, Ming Yan, Yuan Miao, Jiabo Ye, Guohai Xu, Anwen Hu, Yaya Shi, Guangwei Xu, Chenliang Li, Qi Qian, Maofei Que, Ji Zhang, Xiao Zeng, Fei Huang

CoRR, 2023

2021

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction.

Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

PURS: Personalized Unexpected Recommender System for Improving User Satisfaction.

Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020