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2020 – today
- 2025
[j29]Yiting Li
, Jia Zhang, Hanrui Wu, Guodong Du, Jinyi Long:
Consistent and specific multi-view multi-label learning with correlation information. Inf. Sci. 687: 121395 (2025)- 2024
- [j28]Michael Ng, Hanrui Wu, Andy M. Yip:
Stability and Generalization of Hypergraph Collaborative Networks. Mach. Intell. Res. 21(1): 184-196 (2024) - [j27]Hanrui Wu, Yanxin Wu, Nuosi Li, Min Yang, Jia Zhang, Michael K. Ng, Jinyi Long:
High-order proximity and relation analysis for cross-network heterogeneous node classification. Mach. Learn. 113(9): 6247-6272 (2024) - [j26]Hanrui Wu, Andy M. Yip, Jinyi Long, Jia Zhang, Michael Kwok-Po Ng:
Simplicial Complex Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 561-575 (2024) - [j25]Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long:
Collaborative contrastive learning for hypergraph node classification. Pattern Recognit. 146: 109995 (2024) - [j24]Hanrui Wu, Lei Tian, Yanxin Wu, Jia Zhang, Michael K. P. Ng, Jinyi Long:
Transferable graph auto-encoders for cross-network node classification. Pattern Recognit. 150: 110334 (2024) - [j23]Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li:
Semi-supervised imbalanced multi-label classification with label propagation. Pattern Recognit. 150: 110358 (2024) - [j22]Guang-liang He, Zhen Zhang, Hanrui Wu, Sanchuan Luo, Yudong Liu:
KGCNA: Knowledge Graph Collaborative Neighbor Awareness Network for Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2736-2748 (2024) - [j21]Jia Zhang, Jinglong Fang, Siwei Liu, Dezheng Liu, Hanrui Wu, Jinyi Long:
Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j20]Hanrui Wu, Nuosi Li, Ka Ho Kwok, Xuheng Cai, Jia Zhang, Jinyi Long, Michael Kwok-Po Ng:
Feature Matching Machine for Cold-Start Recommendation. IEEE Trans. Serv. Comput. 17(1): 98-112 (2024) - [c6]Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai:
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. AAAI 2024: 9232-9240 - 2023
- [j19]Jia Zhang, Hanrui Wu, Min Jiang, Jinghua Liu, Shaozi Li, Yong Tang, Jinyi Long:
Group-preserving label-specific feature selection for multi-label learning. Expert Syst. Appl. 213(Part): 118861 (2023) - [j18]Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng:
Hypergraph Collaborative Network on Vertices and Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3245-3258 (2023) - [j17]Sentao Chen, Lin Zheng, Hanrui Wu:
Riemannian representation learning for multi-source domain adaptation. Pattern Recognit. 137: 109271 (2023) - [j16]Hanrui Wu, Jinyi Long, Nuosi Li, Dahai Yu, Michael K. Ng:
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. ACM Trans. Inf. Syst. 41(2): 33:1-33:25 (2023) - [j15]Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng:
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. IEEE Trans. Serv. Comput. 16(4): 2477-2489 (2023) - [c5]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c4]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. ICDE 2023: 3855-3856 - [i1]Michael Kwok-Po Ng, Hanrui Wu, Andy M. Yip:
Stability and Generalization of Hypergraph Collaborative Networks. CoRR abs/2308.02347 (2023) - 2022
- [j14]Hanrui Wu, Michael K. Ng:
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. ACM Trans. Knowl. Discov. Data 16(4): 77:1-77:25 (2022) - [j13]Hanrui Wu, Michael K. Ng:
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. ACM Trans. Knowl. Discov. Data 16(4): 80:1-80:19 (2022) - [j12]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(6): 2810-2823 (2022) - [j11]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(11): 5536-5551 (2022) - [j10]Hanrui Wu, Qingyao Wu, Michael K. Ng:
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. ACM Trans. Inf. Syst. 40(1): 16:1-16:29 (2022) - [c3]Dezheng Liu, Siwei Liu, Hanrui Wu, Jia Zhang, Jinyi Long:
EEG-Based Motor Imagery Classification with Deep Adversarial Learning. ChineseCSCW (2) 2022: 243-255 - 2021
- [j9]Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng:
Joint Visual and Semantic Optimization for zero-shot learning. Knowl. Based Syst. 215: 106773 (2021) - [j8]Sentao Chen, Hanrui Wu, Cheng Liu:
Domain Invariant and Agnostic Adaptation. Knowl. Based Syst. 227: 107192 (2021) - [j7]Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng:
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. IEEE Trans. Image Process. 30: 6364-6376 (2021) - 2020
- [j6]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu:
Geometric Knowledge Embedding for unsupervised domain adaptation. Knowl. Based Syst. 191: 105155 (2020) - [j5]Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu:
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. ACM Trans. Intell. Syst. Technol. 11(4): 44:1-44:19 (2020)
2010 – 2019
- 2019
- [j4]Feng Sun, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, Qing Du:
Informative Feature Selection for Domain Adaptation. IEEE Access 7: 142551-142563 (2019) - [j3]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu:
Online Heterogeneous Transfer Learning by Knowledge Transition. ACM Trans. Intell. Syst. Technol. 10(3): 26:1-26:19 (2019) - 2018
- [c2]Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu:
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. IJCAI 2018: 2969-2975 - 2017
- [j2]Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min:
Online transfer learning by leveraging multiple source domains. Knowl. Inf. Syst. 52(3): 687-707 (2017) - [j1]Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao:
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Trans. Knowl. Data Eng. 29(7): 1494-1507 (2017) - [c1]Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu:
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. IJCAI 2017: 3252-3258
Coauthor Index
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