| Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition D Huang, S Chen, C Liu, L Zheng, Z Tian, D Jiang Neurocomputing 448, 140-151, 2021 | 125 | 2021 |
| Domain adaptation by joint distribution invariant projections S Chen, M Harandi, X Jin, X Yang IEEE Transactions on Image Processing 29, 8264-8277, 2020 | 54 | 2020 |
| Subspace distribution adaptation frameworks for domain adaptation S Chen, L Han, X Liu, Z He, X Yang IEEE Transactions on Neural Networks and Learning Systems 31 (12), 5204-5218, 2020 | 46 | 2020 |
| Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models G Tu, J Wen, H Liu, S Chen, L Zheng, D Jiang Knowledge-Based Systems 235, 107598, 2022 | 44 | 2022 |
| Joint visual and semantic optimization for zero-shot learning H Wu, Y Yan, S Chen, X Huang, Q Wu, MK Ng Knowledge-Based Systems 215, 106773, 2021 | 30 | 2021 |
| Domain generalization by joint-product distribution alignment S Chen, L Wang, Z Hong, X Yang Pattern Recognition 134, 109086, 2023 | 27 | 2023 |
| Semi-supervised domain adaptation via asymmetric joint distribution matching S Chen, M Harandi, X Jin, X Yang IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5708-5722, 2020 | 27 | 2020 |
| Joint distribution matching embedding for unsupervised domain adaptation X Jin, X Yang, B Fu, S Chen Neurocomputing 412, 115-128, 2020 | 22 | 2020 |
| Collaborative contrastive learning for hypergraph node classification H Wu, N Li, J Zhang, S Chen, MK Ng, J Long Pattern Recognition 146, 109995, 2024 | 19 | 2024 |
| Domain neural adaptation S Chen, Z Hong, M Harandi, X Yang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 19 | 2022 |
| Domain invariant and agnostic adaptation S Chen, H Wu, C Liu Knowledge-Based Systems 227, 107192, 2021 | 19 | 2021 |
| Riemannian representation learning for multi-source domain adaptation S Chen, L Zheng, H Wu Pattern Recognition, 109271, 2022 | 18 | 2022 |
| Training multi-source domain adaptation network by mutual information estimation and minimization L Wen, S Chen, M Xie, C Liu, L Zheng Neural Networks 171, 353-361, 2023 | 15 | 2023 |
| Tailoring density ratio weight for covariate shift adaptation S Chen, X Yang Neurocomputing 333, 135-144, 2019 | 9 | 2019 |
| Decomposed adversarial domain generalization S Chen Knowledge-Based Systems 263, 110300, 2023 | 8 | 2023 |
| Multi-source domain adaptation with mixture of joint distributions S Chen Pattern Recognition 149, 110295, 2024 | 7 | 2024 |
| Joint-product representation learning for domain generalization in classification and regression S Chen, L Chen Neural Computing and Applications 35 (22), 16509-16526, 2023 | 4 | 2023 |
| Maximum likelihood weight estimation for partial domain adaptation L Wen, S Chen, Z Hong, L Zheng Information Sciences, 120800, 2024 | 3 | 2024 |
| Adaptive dual graph regularization for clustered multi-task learning C Liu, R Li, S Chen, L Zheng, D Jiang Neurocomputing 574, 127259, 2024 | 3 | 2024 |
| Domain generalization by distribution estimation S Chen, Z Hong International Journal of Machine Learning and Cybernetics 14 (10), 3457-3470, 2023 | 3 | 2023 |
Lin ZhengDepartment of Computer Science and Technology, Shantou UniversityPotvrđena adresa e-pošte na stu.edu.cn
