Mingdong Ou

According to our database, Mingdong Ou authored at least 16 papers between 2011 and 2026.

Collaborative distances:

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

2026

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval.

Yibo Yan, Mingdong Ou, Yi Cao, Jiahao Huo, Xin Zou, Shuliang Liu, James T. Kwok, Xuming Hu

CoRR, April, 2026

Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations.

Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Jiahao Huo, Yue Huang, James T. Kwok, Xuming Hu

CoRR, March, 2026

Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval.

Yibo Yan, Jiahao Huo, Guanbo Feng, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Yuanhuiyi Lyu, Yue Huang, Jungang Li, Kening Zheng, Xu Zheng, Philip S. Yu, James Kwok, Xuming Hu

CoRR, February, 2026

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework.

Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Jiahao Huo, Shuliang Liu, James Kwok, Xuming Hu

CoRR, February, 2026

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding.

Jiahao Huo, Yu Huang, Yibo Yan, Ye Pan, Yi Cao, Mingdong Ou, Philip S. Yu, Xuming Hu

CoRR, January, 2026

2021

Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph.

Yifei Zhao, Mingdong Ou, Rongzhi Zhang, Meng Li

CoRR, 2021

2020

Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective.

Yifei Zhao, Yu-Hang Zhou, Mingdong Ou, Huan Xu, Nan Li

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Semi-Parametric Sampling for Stochastic Bandits with Many Arms.

Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multinomial Logit Bandit with Linear Utility Functions.

Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Asymmetric Transitivity Preserving Graph Embedding.

Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure.

Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu

IEEE Trans. Multim., 2015

Non-transitive Hashing with Latent Similarity Components.

Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Multimodal Hashing with Orthogonal Regularization.

Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Probabilistic Attributed Hashing.

Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing.

Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2011

Who should share what?: item-level social influence prediction for users and posts ranking.

Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, Lifeng Sun

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011