Hanrui Wu

According to our database, Hanrui Wu authored at least 36 papers between 2017 and 2025.

Collaborative distances:

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

2025

Consistent and specific multi-view multi-label learning with correlation information.

Yiting Li, Jia Zhang, Hanrui Wu, Guodong Du, Jinyi Long

Inf. Sci., 2025

2024

High-order proximity and relation analysis for cross-network heterogeneous node classification.

Hanrui Wu, Yanxin Wu, Nuosi Li, Min Yang, Jia Zhang, Michael K. Ng, Jinyi Long

Mach. Learn., September, 2024

KGCNA: Knowledge Graph Collaborative Neighbor Awareness Network for Recommendation.

Guang-liang He, Zhen Zhang, Hanrui Wu, Sanchuan Luo, Yudong Liu

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Collaborative contrastive learning for hypergraph node classification.

Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long

Pattern Recognit., February, 2024

Stability and Generalization of Hypergraph Collaborative Networks.

Michael Ng, Hanrui Wu, Andy M. Yip

Mach. Intell. Res., February, 2024

Simplicial Complex Neural Networks.

Hanrui Wu, Andy M. Yip, Jinyi Long, Jia Zhang, Michael Kwok-Po Ng

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Feature Matching Machine for Cold-Start Recommendation.

Hanrui Wu, Nuosi Li, Ka Ho Kwok, Xuheng Cai, Jia Zhang, Jinyi Long, Michael Kwok-Po Ng

IEEE Trans. Serv. Comput., 2024

Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources.

Jia Zhang, Jinglong Fang, Siwei Liu, Dezheng Liu, Hanrui Wu, Jinyi Long

IEEE Trans. Instrum. Meas., 2024

Online Transfer Learning With Pseudo Label for Gait Phase Prediction.

Zhenpeng Guo, Hanrui Wu, Jinglong Fang, Jia Zhang, Jinyi Long

IEEE Trans. Instrum. Meas., 2024

Transferable graph auto-encoders for cross-network node classification.

Hanrui Wu, Lei Tian, Yanxin Wu, Jia Zhang, Michael K. P. Ng, Jinyi Long

Pattern Recognit., 2024

Semi-supervised imbalanced multi-label classification with label propagation.

Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li

Pattern Recognit., 2024

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion.

Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai

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

2023

Riemannian representation learning for multi-source domain adaptation.

Sentao Chen, Lin Zheng, Hanrui Wu

Pattern Recognit., May, 2023

Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs.

Hanrui Wu, Jinyi Long, Nuosi Li, Dahai Yu, Michael K. Ng

ACM Trans. Inf. Syst., April, 2023

Hypergraph Collaborative Network on Vertices and Hyperedges.

Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders.

Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng

IEEE Trans. Serv. Comput., 2023

Group-preserving label-specific feature selection for multi-label learning.

Jia Zhang, Hanrui Wu, Min Jiang, Jinghua Liu, Shaozi Li, Yong Tang, Jinyi Long

Expert Syst. Appl., 2023

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract.

Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract).

Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation.

Hanrui Wu, Qingyao Wu, Michael K. Ng

ACM Trans. Inf. Syst., 2022

Transferable Feature Selection for Unsupervised Domain Adaptation.

Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng

IEEE Trans. Knowl. Data Eng., 2022

Iterative Refinement for Multi-Source Visual Domain Adaptation.

Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2022

Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification.

Hanrui Wu, Michael K. Ng

ACM Trans. Knowl. Discov. Data, 2022

Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation.

Hanrui Wu, Michael K. Ng

ACM Trans. Knowl. Discov. Data, 2022

EEG-Based Motor Imagery Classification with Deep Adversarial Learning.

Dezheng Liu, Siwei Liu, Hanrui Wu, Jia Zhang, Jinyi Long

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.

Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng

IEEE Trans. Image Process., 2021

Joint Visual and Semantic Optimization for zero-shot learning.

Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng

Knowl. Based Syst., 2021

Domain Invariant and Agnostic Adaptation.

Sentao Chen, Hanrui Wu, Cheng Liu

Knowl. Based Syst., 2021

2020

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation.

Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu

ACM Trans. Intell. Syst. Technol., 2020

Geometric Knowledge Embedding for unsupervised domain adaptation.

Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu

Knowl. Based Syst., 2020

2019

Online Heterogeneous Transfer Learning by Knowledge Transition.

Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu

ACM Trans. Intell. Syst. Technol., 2019

Informative Feature Selection for Domain Adaptation.

Feng Sun, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, Qing Du

IEEE Access, 2019

2018

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.

Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu

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

2017

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.

Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao

IEEE Trans. Knowl. Data Eng., 2017

Online transfer learning by leveraging multiple source domains.

Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min

Knowl. Inf. Syst., 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.

Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017