Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Michael K. P. Ng 001; Mingkui Tan; Hanrui Wu; Huaqing Min; Qingyao Wu (IJCAI, 2017)

Online transfer learning by leveraging multiple source domains. - Qingyao Wu; Xiaoming Zhou; Yuguang Yan; Hanrui Wu; Huaqing Min (Knowl. Inf. Syst., 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)

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Hanrui Wu; Huaqing Min; Mingkui Tan; Qingyao Wu (IJCAI, 2018)

Informative Feature Selection for Domain Adaptation. - Feng Sun 005; Hanrui Wu; Zhihang Luo; Wenwen Gu; Yuguang Yan; Qing Du (IEEE Access, 2019)

Online Heterogeneous Transfer Learning by Knowledge Transition. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Huaqing Min; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2019)

Geometric Knowledge Embedding for unsupervised domain adaptation. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Michael K. Ng 001; Qingyao Wu (Knowl. Based Syst., 2020)

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. - Hanrui Wu; Yuguang Yan; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2020)

Domain Invariant and Agnostic Adaptation. - Sentao Chen; Hanrui Wu; Cheng Liu 001 (Knowl. Based Syst., 2021)

Joint Visual and Semantic Optimization for zero-shot learning. - Hanrui Wu; Yuguang Yan; Sentao Chen; Xiangkang Huang; Qingyao Wu; Michael K. Ng 001 (Knowl. Based Syst., 2021)

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. - Hanrui Wu; Hong Zhu 012; Yuguang Yan; Jiaju Wu 001; Yifan Zhang 004; Michael K. Ng 001 (IEEE Trans. Image Process., 2021)

EEG-Based Motor Imagery Classification with Deep Adversarial Learning. - Dezheng Liu; Siwei Liu 014; Hanrui Wu; Jia Zhang; Jinyi Long (ChineseCSCW (2), 2022)

Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. - Hanrui Wu; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2022)

Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. - Hanrui Wu; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2022)

Iterative Refinement for Multi-Source Visual Domain Adaptation. - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 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 001 (IEEE Trans. Knowl. Data Eng., 2022)

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. - Hanrui Wu; Qingyao Wu; Michael K. Ng 001 (ACM Trans. Inf. Syst., 2022)

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (ICDE, 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 (ICDE, 2023)

Group-preserving label-specific feature selection for multi-label learning. - Jia Zhang; Hanrui Wu; Min Jiang 005; Jinghua Liu; Shaozi Li; Yong Tang 001; Jinyi Long (Expert Syst. Appl., 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 001 (IEEE Trans. Serv. Comput., 2023)

Hypergraph Collaborative Network on Vertices and Hyperedges. - Hanrui Wu; Yuguang Yan; Michael Kwok-Po Ng (IEEE Trans. Pattern Anal. Mach. Intell., 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 001 (ACM Trans. Inf. Syst., 2023)

Riemannian representation learning for multi-source domain adaptation. - Sentao Chen; Lin Zheng 003; Hanrui Wu (Pattern Recognit., 2023)

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. - Yuguang Yan; Yuanlin Chen; Shibo Wang; Hanrui Wu; Ruichu Cai (AAAI, 2024)

Semi-supervised imbalanced multi-label classification with label propagation. - Guodong Du 002; Jia Zhang; Ning Zhang; Hanrui Wu; Peiliang Wu; Shaozi Li (Pattern Recognit., 2024)

Transferable graph auto-encoders for cross-network node classification. - Hanrui Wu; Lei Tian; Yanxin Wu; Jia Zhang; Michael K. P. Ng 001; Jinyi Long (Pattern Recognit., 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)

Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. - Jia Zhang; Jinglong Fang; Siwei Liu 014; Dezheng Liu; Hanrui Wu; Jinyi Long (IEEE Trans. Instrum. Meas., 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)

Simplicial Complex Neural Networks. - Hanrui Wu; Andy M. Yip; Jinyi Long; Jia Zhang; Michael Kwok-Po Ng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stability and Generalization of Hypergraph Collaborative Networks. - Michael Ng 001; Hanrui Wu; Andy M. Yip (Mach. Intell. Res., 2024)

Collaborative contrastive learning for hypergraph node classification. - Hanrui Wu; Nuosi Li; Jia Zhang; Sentao Chen; Michael K. Ng 001; Jinyi Long (Pattern Recognit., 2024)

KGCNA: Knowledge Graph Collaborative Neighbor Awareness Network for Recommendation. - Guang-liang He; Zhen Zhang 017; Hanrui Wu; Sanchuan Luo; Yudong Liu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

High-order proximity and relation analysis for cross-network heterogeneous node classification. - Hanrui Wu; Yanxin Wu; Nuosi Li; Min Yang 007; Jia Zhang; Michael K. Ng 001; Jinyi Long (Mach. Learn., 2024)

Consistent and specific multi-view multi-label learning with correlation information. - Yiting Li; Jia Zhang; Hanrui Wu; Guodong Du 002; Jinyi Long (Inf. Sci., 2025)

Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. - Siwei Liu 014; Jia Zhang; Hanrui Wu; Guoxu Zhou; Qibin Zhao; Jinyi Long (Knowl. Based Syst., 2025)

EEG Feature Selection in Emotion Recognition Using a Fuzzy Information-Theoretic Based Optimization Approach. - Jia Zhang; Siwei Liu 014; Hanrui Wu; Zhe Zhang; Jinyi Long (IEEE Trans. Fuzzy Syst., 2025)

SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement. - Qianzhi Ye; Jia Zhang; Hanrui Wu; Tianlong Gu; C. L. Philip Chen; Jinyi Long (IEEE Trans. Knowl. Data Eng., 2025)

Cold-start User Recommendation via Heterogeneous Domain Adaptation. - Hanrui Wu; Yanxin Wu; Nuosi Li; Jia Zhang; Yonghui Xu; Michael K. Ng 001; Jinyi Long (ACM Trans. Inf. Syst., 2025)