Tailoring density ratio weight for covariate shift adaptation. - Sentao Chen; Xiaowei Yang 003 (Neurocomputing, 2019)

Joint distribution matching embedding for unsupervised domain adaptation. - Xiaona Jin; Xiaowei Yang 003; Bo Fu; Sentao Chen (Neurocomputing, 2020)

Domain Adaptation by Joint Distribution Invariant Projections. - Sentao Chen; Mehrtash Harandi; Xiaona Jin; Xiaowei Yang 003 (IEEE Trans. Image Process., 2020)

Subspace Distribution Adaptation Frameworks for Domain Adaptation. - Sentao Chen; Le Han; Xiaolan Liu 003; Zongyao He; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition. - Dongmin Huang; Sentao Chen; Cheng Liu 001; Lin Zheng 003; Zhihang Tian; Dazhi Jiang (Neurocomputing, 2021)

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)

Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. - Sentao Chen; Mehrtash Harandi; Xiaona Jin; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models. - Geng Tu; Jintao Wen; Hao Liu 080; Sentao Chen; Lin Zheng 003; Dazhi Jiang (Knowl. Based Syst., 2022)

Domain Generalization by Joint-Product Distribution Alignment. - Sentao Chen; Lei Wang; Zijie Hong; Xiaowei Yang 003 (Pattern Recognit., 2023)

Decomposed adversarial domain generalization. - Sentao Chen (Knowl. Based Syst., 2023)

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

User view dynamic graph-driven sequential recommendation. - Jianzhen Chen; Lin Zheng 003; Sentao Chen (Knowl. Inf. Syst., 2023)

Active mechanical haptics with high-fidelity perceptions for immersive virtual reality. - Zhuang Zhang; Zhenghao Xu; Luoqian Emu; Pingdong Wei; Sentao Chen; Zirui Zhai; Lingyu Kong; Yong Wang; Hanqing Jiang (Nat. Mac. Intell., 2023)

Global stabilisation of nonlinear systems with unknown time-varying delay and measurement uncertainty. - Xianglei Jia; Sentao Chen; Haitao Cheng (Int. J. Control, 2023)

Joint-product representation learning for domain generalization in classification and regression. - Sentao Chen; Liang Chen 021 (Neural Comput. Appl., 2023)

Domain generalization by distribution estimation. - Sentao Chen; Zijie Hong (Int. J. Mach. Learn. Cybern., 2023)

Domain Neural Adaptation. - Sentao Chen; Zijie Hong; Mehrtash Harandi; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Maximum likelihood weight estimation for partial domain adaptation. - Lisheng Wen; Sentao Chen; Zijie Hong; Lin Zheng 003 (Inf. Sci., 2024)

Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations. - Ping Xuan; Chunhong Guan; Sentao Chen; Jing Gu; Xiuju Wang; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Joint weight optimization for partial domain adaptation via kernel statistical distance estimation. - Sentao Chen (Neural Networks, 2024)

Training multi-source domain adaptation network by mutual information estimation and minimization. - Lisheng Wen; Sentao Chen; Mengying Xie; Cheng Liu 001; Lin Zheng 003 (Neural Networks, 2024)

Multi-Source Domain Adaptation with Mixture of Joint Distributions. - Sentao Chen (Pattern Recognit., 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)

Adaptive dual graph regularization for clustered multi-task learning. - Cheng Liu 001; Rui Li 045; Sentao Chen; Lin Zheng 003; Dazhi Jiang (Neurocomputing, 2024)

Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. - Jing Gu; Tiangang Zhang; Yihang Gao; Sentao Chen; Yuxin Zhang; Hui Cui 002; Ping Xuan (J. Chem. Inf. Model., 2025)

Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs. - Ping Xuan; Xiaoying Qi; Sentao Chen; Jing Gu; Xiuju Wang; Hui Cui 002; Jun Lu; Tiangang Zhang (J. Chem. Inf. Model., 2025)

Recurrent-optimized user association representation for multi-target cross-domain sequential recommendation. - Nuo Chen; Lin Zheng 003; Sentao Chen (Knowl. Inf. Syst., 2025)

Deep domain adaptation by joint distribution neural matching. - Zijie Hong; Sentao Chen; Lisheng Wen; Xiaowei Yang 003 (Neural Comput. Appl., 2025)