Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation X Chen, S Wang, M Long, J Wang International Conference on Machine Learning (ICML), 1081-1090, 2019 | 565 | 2019 |
Catastrophic forgetting meets negative transfer: Batch spectral shrinkage for safe transfer learning X Chen, S Wang, B Fu, M Long, J Wang Advances in Neural Information Processing Systems (NeurIPS), 2019 | 182 | 2019 |
Representation Subspace Distance for Domain Adaptation Regression X Chen, S Wang, J Wang, M Long International Conference on Machine Learning (ICML), 1749-1759, 2021 | 102 | 2021 |
Progressive adversarial networks for fine-grained domain adaptation S Wang, X Chen, Y Wang, M Long, J Wang IEEE conference on Computer Vision and Pattern Recognition (CVPR), 9213-9222, 2020 | 72 | 2020 |
Recommender Transformers with Behavior Pathways Z Yao, X Chen, S Wang, Q Dai, Y Li, T Zhu, M Long Proceedings of the ACM on Web Conference (WWW), 3643-3654, 2024 | 4 | 2024 |
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment H Gui, X Li, X Chen International Conference on Machine Learning (ICML), 16731-16750, 2024 | 3 | 2024 |
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model X Wang, X Chen, J Wang, M Long Internation Conference on Learning Representations (ICLR), 2022 | 1 | 2022 |
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics X Chen, X Li, X Chen, Z Li Advances in Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |
Frequency-aware Generative Models for Multivariate Time Series Imputation X Yang, Y Sun, X Yuan, X Chen Advances in Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |
Boosting Transferability and Discriminability for Time Series Domain Adaptation M Liu, X Chen, Y Shu, X Li, W Guan, L Nie Advances in Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |