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Name: Hanrui Wu Department: Department of Computer Science Gender: male Post: Career: Associate professor Degree: Ph.D. Graduate School: Tel: Email: wuhanrui@jnu.edu.cn Office Location: Address: PostCode: Fax: Honor: |
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ResumeEducation2015.09-2020.06: Ph.D. student, South China University of Technology, Supervisor: Prof. Qingyao Wu 2019.03-2019.07: Exchange Student, Hong Kong Baptist University, Supervisor: Prof. Michael Ng 2009.09-2013.06: B.Sc., South China University of Technology Work Experience2022.01-now: Associate Professor, Department of Computer Science, Jinan University 2020.10-2021.10: Postdoctoral Research Fellow, Department of Mathematics, The University of Hong Kong Research FieldsThesis Fields[15] Hanrui Wu*, Michael Ng. Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. ACM Transactions on Knowledge Discovery from Data (TKDD), 2022, 16(4): 1-19. (JCR Q2, CCF-B, IF: 2.713) [14] Hanrui Wu*, Michael Ng. Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. ACM Transactions on Knowledge Discovery from Data (TKDD), 2022, 16(4): 1-25. (JCR Q2, CCF-B, IF: 2.713) [13] Hanrui Wu*, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng, Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. IEEE Transactions on Image Processing (TIP), 2021, vol. 30, pp. 6364-6376. (JCR Q1, CCF-A, IF: 10.856) [12] Hanrui Wu*, Qingyao Wu, Michael K. Ng, Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. ACM Transactions on Information Systems (TOIS), 2021, 40(1): 1-29. (JCR Q1, CCF-A, IF: 4.797) [11] 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 Transactions on Knowledge and Data Engineering (TKDE), 2021, doi: 10.1109/TKDE.2021.3060037. (JCR Q1, CCF-A, IF: 6.977) [10] Hanrui Wu*, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng, Joint Visual and Semantic Optimization for Zero-shot Learning. Knowledge-Based Systems (KBS), 2021, 215: 106773. (JCR Q1, IF: 8.038) [9] Sentao Chen, Hanrui Wu, Cheng Liu. Domain Invariant and Agnostic Adaptation. Knowledge-Based Systems (KBS), 2021, 227: 107192. (JCR Q1, IF: 8.038) [8] Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu, Iterative Refinement for Multi-source Visual Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, doi: 10.1109/TKDE.2020.3014697. (JCR Q1, CCF-A, IF: 6.977) [7] Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu, Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. ACM Transactions on Intelligent Systems and Technology (TIST), 2020, 11(4): 1-19. (JCR Q1, IF: 4.654) [6] Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu, Geometric Knowledge Embedding for Unsupervised Domain Adaptation. Knowledge-Based Systems (KBS), 2020, 191: 105155. (JCR Q1, IF: 8.038) [5] Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu, Online Heterogeneous Transfer Learning by Knowledge Transition. ACM Transactions on Intelligent Systems and Technology (TIST), 2019, 10(3): 1-19. (JCR Q1, IF: 4.654) [4] Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu. Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. International Joint Conference on Artificial Intelligence (IJCAI), 2018, 7: 2969-2975. (CCF-A) [3] Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu*, Huaqing Min, Online Transfer Learning by Leveraging Multiple Source Domains. Knowledge and Information Systems (KAIS), 2017, 52(3): 687-707. (JCR Q2, CCF-B, IF: 2.822) [2] Qingyao Wu#, Hanrui Wu#, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao, Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017, 29(7): 1494-1507. (JCR Q1, CCF-A, IF: 6.977) [1] Yuguang Yan, Wen Li, Ng, Michael K. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu. Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. International Joint Conference on Artificial Intelligence (IJCAI), 2017: 3252-3258. (CCF-A) PublicationsUndertake the subjectPatent for inventionOpen CourseHonorSocial PositionReviewer: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Services Computing, Knowledge Based Systems, Neurocomputing, Scientific Reports, IEEE Access, Software Impacts; PC member: IJCAI 2021, IJCAI-ECAI 2022 |