PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. - Pan Li 008; Maofei Que; Zhichao Jiang; Yao Hu; Alexander Tuzhilin (RecSys, 2020)

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. - Pan Li 008; Zhichao Jiang; Maofei Que; Yao Hu; Alexander Tuzhilin (KDD, 2021)

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks. - Haiyang Xu 001; Qinghao Ye; Xuan Wu; Ming Yan 008; Yuan Miao; Jiabo Ye; Guohai Xu; Anwen Hu; Yaya Shi; Guangwei Xu; Chenliang Li; Qi Qian 001; et al. (CoRR, 2023)

Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations. - Pan Li 008; Maofei Que; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2024)

NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. - Shui Liu; Mingyuan Tao; Maofei Que; Pan Li 008; Dong Li; Shenghua Ni; Zhuoran Zhuang (SIGIR, 2025)

Towards Explainable Search Results in E-commerce. - Xianyang Tian; Xiang Xu; Chao Wang 095; Tong Ruan; Baohua Wu; Maofei Que; Shenghua Ni; Zhuoran Zhuang; Jingping Liu (WWW (Companion Volume), 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, 2025)