Towards Controllable and Personalized Review Generation. - Pan Li 008; Alexander Tuzhilin (EMNLP/IJCNLP (1), 2019)

Latent Modeling of Unexpectedness for Recommendations. - Pan Li 008; Alexander Tuzhilin (RecSys (Late-Breaking Results), 2019)

Latent multi-criteria ratings for recommendations. - Pan Li 008; Alexander Tuzhilin (RecSys, 2019)

Latent Unexpected and Useful Recommendation. - Pan Li 008; Alexander Tuzhilin (CoRR, 2019)

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

DDTCDR: Deep Dual Transfer Cross Domain Recommendation. - Pan Li 008; Alexander Tuzhilin (WSDM, 2020)

Hybrid Utility Function for Unexpected Recommendations. - Pan Li 008 (WSDM, 2020)

Latent Unexpected Recommendations. - Pan Li 008; Alexander Tuzhilin (ACM Trans. Intell. Syst. Technol., 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)

Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions. - Pan Li 008 (RecSys, 2021)

Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations. - Pan Li 008; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2022)

Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. - Pan Li 008; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial Learning for Cross Domain Recommendations. - Pan Li 008; Brian Brost; Alexander Tuzhilin (ACM Trans. Intell. Syst. Technol., 2023)

Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings. - Moshe Unger; Pan Li 008; Sahana (Shahana) Sen; Alexander Tuzhilin (ACM Trans. Manag. Inf. Syst., 2023)

Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems. - Pan Li 008; Alexander Tuzhilin (CoRR, 2024)

When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems. - Pan Li 008; Alexander Tuzhilin (Inf. Syst. Res., 2024)

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)