| Learning disentangled semantic representation for domain adaptation R Cai, Z Li, P Wei, J Qiao, K Zhang, Z Hao IJCAI: proceedings of the conference 2019, 2060, 2019 | 110 | 2019 |
| An encoder-decoder framework translating natural language to database queries R Cai, B Xu, X Yang, Z Zhang, Z Li, Z Liang Proceedings of the Twenty-Seventh International Joint Conference on …, 2017 | 70 | 2017 |
| Time Series Domain Adaptation via Sparse Associative Structure Alignment R Cai, J Chen, Z Li, W Chen, K Zhang, J Ye, Z Li, X Yang, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 36 | 2020 |
| Domain adaptation with invariant representation learning: What transformations to learn? P Stojanov, Z Li, M Gong, R Cai, J Carbonell, K Zhang Advances in Neural Information Processing Systems 34, 24791-24803, 2021 | 33 | 2021 |
| NADAQ: natural language database querying based on deep learning B Xu, R Cai, Z Zhang, X Yang, Z Hao, Z Li, Z Liang IEEE Access 7, 35012-35017, 2019 | 29 | 2019 |
| TAG: Type Auxiliary Guiding for Code Comment Generation R Cai, Z Liang, B Xu, Z Li, Y Hao, Y Chen Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 24 | 2020 |
| Aggregating from multiple target-shifted sources C Shui, Z Li, J Li, C Gagné, CX Ling, B Wang International Conference on Machine Learning, 9638-9648, 2021 | 22 | 2021 |
| Graph domain adaptation: A generative view R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang arXiv preprint arXiv:2106.07482, 2021 | 19 | 2021 |
| Semi-supervised disentangled framework for transferable named entity recognition Z Hao, D Lv, Z Li, R Cai, W Wen, B Xu Neural Networks 135, 127-138, 2021 | 15 | 2021 |
| Causal mechanism transfer network for time series domain adaptation in mechanical systems Z Li, R Cai, HW Ng, M Winslett, TZJ Fu, B Xu, X Yang, Z Zhang ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-21, 2021 | 11 | 2021 |
| Transferable time-series forecasting under causal conditional shift Z Li, R Cai, TZJ Fu, Z Hao, K Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 6 | 2023 |
| Motif Graph Neural Network X Chen, R Cai, Y Fang, M Wu, Z Li, Z Hao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations Z Li, R Cai, F Wu, S Zhang, H Gu, Y Hao, Y Yan IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance Z Li, R Cai, J Chen, Y Yan, W Chen, K Zhang, J Ye arXiv preprint arXiv:2205.03554, 2022 | 2 | 2022 |
| Subspace Identification for Multi-Source Domain Adaptation Z Li, R Cai, G Chen, B Sun, Z Hao, K Zhang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
| Disentanglement Challenge: From Regularization to Reconstruction J Qiao, Z Li, B Xu, R Cai, K Zhang arXiv preprint arXiv:1912.00155, 2019 | 1 | 2019 |
| REST: Debiased Social Recommendation via Reconstructing Exposure Strategies R Cai, F Wu, Z Li, J Qiao, W Chen, Y Hao, H Gu ACM Transactions on Knowledge Discovery from Data 18 (2), 1-24, 2023 | | 2023 |
| Identifying Semantic Component for Robust Molecular Property Prediction Z Li, Z Xu, R Cai, Z Yang, Y Yan, Z Hao, G Chen, K Zhang arXiv preprint arXiv:2311.04837, 2023 | | 2023 |
| TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences R Cai, Y Liu, W Chen, J Qiao, Y Yan, Z Li, K Zhang, Z Hao arXiv preprint arXiv:2306.14114, 2023 | | 2023 |
Ruichu CaiProfessor of Computer Science, Guangdong University of TechnologyVerified email at gdut.edu.cn
