Hanrui Wu received the BS and PhD degrees from the School of Software Engineering, South China University of Technology, China, in 2013 and 2020, respectively. He is currently an associate professor with the Department of Computer Science, Jinan University, Guangzhou, China. Before that, he was a postdoctoral research fellow with the Department of Mathematics, The University of Hong Kong, from 2020 to 2021. His research interests include transfer learning, zero-shot learning, hypergraph learning, recommendation systems, and brain-computer interactions.

[16] Hanrui Wu, Andy Yip, Jinyi Long, Jia Zhang, Michael K. Ng, Simplicial Complex Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, accepted (Top, JCR Q1, CCF-A, IF: 23.6)

[15] Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long, Collaborative Contrastive Learning for Hypergraph Node Classification. Pattern Recognition (PR), 2024, 146: 109995 (Top, JCR Q1, IF: 8.0)

[14] Hanrui Wu, Yuguang Yan, Michael K. Ng, Hypergraph Collaborative Network on Vertices and Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(3): 3245-3258 (Top, JCR Q1, CCF-A, IF: 24.314)

[13] 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 Transactions on Services Computing (TSC), 2023 early access (Top, JCR Q1, CCF-A, IF: 11.019)

[12] 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 Transactions on Information Systems (TOIS), 2023, 41(2): 1-25 (Top, JCR Q1, CCF-A, IF: 4.657)

[11] 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), 2022, 34 (6), 2810-2823 (Top, JCR Q1, CCF-A, IF: 9.235)

[10] 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. (Top, JCR Q2, CCF-B, IF: 4.157)

[09] 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. (Top, JCR Q2, CCF-B, IF: 4.157)

[08] 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. (Top, JCR Q1, CCF-A, IF: 11.041)

[07] 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. (Top, JCR Q1, CCF-A, IF: 4.657)

[06] 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: 8.139)

[05] 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: 10.489)

[04] 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: 8.139)

[03] 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: 10.489)

[02] 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: 2.531)

[01] 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. (Top, JCR Q1, CCF-A, IF: 9.235)