S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. - Kun Zhou 002; Hui Wang 072; Wayne Xin Zhao; Yutao Zhu 001; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Ji-Rong Wen (CIKM, 2020)

Leveraging Historical Interaction Data for Improving Conversational Recommender System. - Kun Zhou 002; Wayne Xin Zhao; Hui Wang 072; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Ji-Rong Wen (CIKM, 2020)

Sequential Recommendation with Self-Attentive Multi-Adversarial Network. - Ruiyang Ren; Zhaoyang Liu 003; Yaliang Li; Wayne Xin Zhao; Hui Wang 072; Bolin Ding; Ji-Rong Wen (SIGIR, 2020)

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. - Kun Zhou 002; Hui Wang 072; Wayne Xin Zhao; Yutao Zhu 001; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Ji-Rong Wen (CoRR, 2020)

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. - Wayne Xin Zhao; Shanlei Mu; Yupeng Hou; Zihan Lin; Yushuo Chen; Xingyu Pan; Kaiyuan Li; Yujie Lu; Hui Wang 072; Changxin Tian; Yingqian Min; Zhichao Feng; et al. (CIKM, 2021)

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. - Hui Wang 072; Kun Zhou 002; Wayne Xin Zhao; Jingyuan Wang 001; Ji-Rong Wen (CoRR, 2021)

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. - Zihan Lin; Hui Wang 072; Jingshu Mao; Wayne Xin Zhao; Cheng Wang; Peng Jiang; Ji-Rong Wen (KDD, 2022)

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. - Hui Wang 072; Kun Zhou 002; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

Enhancing Multi-View Smoothness for Sequential Recommendation Models. - Kun Zhou 002; Hui Wang 072; Ji-Rong Wen; Wayne Xin Zhao (ACM Trans. Inf. Syst., 2023)