Who should share what?: item-level social influence prediction for users and posts ranking. - Peng Cui 001; Fei Wang 001; Shaowei Liu; Mingdong Ou; Shiqiang Yang; Lifeng Sun (SIGIR, 2011)

Comparing apples to oranges: a scalable solution with heterogeneous hashing. - Mingdong Ou; Peng Cui 001; Fei Wang 001; Jun Wang 006; Wenwu Zhu 001; Shiqiang Yang (KDD, 2013)

Probabilistic Attributed Hashing. - Mingdong Ou; Peng Cui 001; Jun Wang 006; Fei Wang 001; Wenwu Zhu 001 (AAAI, 2015)

Deep Multimodal Hashing with Orthogonal Regularization. - Daixin Wang; Peng Cui 001; Mingdong Ou; Wenwu Zhu 001 (IJCAI, 2015)

Non-transitive Hashing with Latent Similarity Components. - Mingdong Ou; Peng Cui 001; Fei Wang 001; Jun Wang 006; Wenwu Zhu 001 (KDD, 2015)

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure. - Daixin Wang; Peng Cui 001; Mingdong Ou; Wenwu Zhu 001 (IEEE Trans. Multim., 2015)

Asymmetric Transitivity Preserving Graph Embedding. - Mingdong Ou; Peng Cui 001; Jian Pei 001; Ziwei Zhang 001; Wenwu Zhu 001 (KDD, 2016)

Multinomial Logit Bandit with Linear Utility Functions. - Mingdong Ou; Nan Li 019; Shenghuo Zhu; Rong Jin 001 (IJCAI, 2018)

Semi-Parametric Sampling for Stochastic Bandits with Many Arms. - Mingdong Ou; Nan Li 019; Cheng Yang; Shenghuo Zhu; Rong Jin 001 (AAAI, 2019)

Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective. - Yifei Zhao; Yu-Hang Zhou; Mingdong Ou; Huan Xu; Nan Li 019 (KDD, 2020)

Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph. - Yifei Zhao; Mingdong Ou; Rongzhi Zhang; Meng Li (CoRR, 2021)