Mingrui Wu

According to our database, Mingrui Wu authored at least 24 papers between 2000 and 2024.

Collaborative distances:

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

2024

Toward Open-Set Human Object Interaction Detection.

Mingrui Wu, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.

Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.

Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.

Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji

CoRR, 2022

A Event Extraction Method of Document-Level Based on the Self-attention Mechanism.

Xueming Qiao, Yao Tang, Yanhong Liu, Maomao Su, Chao Wang, Yansheng Fu, Xiaofang Li, Mingrui Wu, Qiang Fu, Dongjie Zhu

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

DIFNet: Boosting Visual Information Flow for Image Captioning.

Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019

Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification.

Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu

CoRR, 2019

Classification over Clustering: Augmenting Text Representation with Clusters Helps!

Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.

Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu

CoRR, 2018

2012

Differentially private search log sanitization with optimal output utility.

Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu

Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011

Hierarchical Classification via Orthogonal Transfer.

Lin Xiao, Dengyong Zhou, Mingrui Wu

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Gradient descent optimization of smoothed information retrieval metrics.

Olivier Chapelle, Mingrui Wu

Inf. Retr., 2010

2009

A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.

Mingrui Wu, Jieping Ye

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions.

Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Learning subspace kernels for classification.

Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Transductive Classification via Local Learning Regularization.

Mingrui Wu, Bernhard Schölkopf

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Discriminative K-means for Clustering.

Jieping Ye, Zheng Zhao, Mingrui Wu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Subspace Kernel for Nonlinear Feature Extraction.

Mingrui Wu, Jason D. R. Farquhar

Proceedings of the IJCAI 2007, 2007

Local learning projections.

Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf

Proceedings of the Machine Learning, 2007

2006

A Direct Method for Building Sparse Kernel Learning Algorithms.

Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir

J. Mach. Learn. Res., 2006

A Local Learning Approach for Clustering.

Mingrui Wu, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Supervised probabilistic principal component analysis.

Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Building Sparse Large Margin Classifiers.

Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir

Proceedings of the Machine Learning, 2005

2000

A Neural Network Based Classifier for Handwritten Chinese Character Recognition.

Mingrui Wu, Bo Zhang, Ling Zhang

Proceedings of the 15th International Conference on Pattern Recognition, 2000