| 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 | 183 | 2019 |
| 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 | 131 | 2020 |
| 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 | 99 | 2017 |
| 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 | 86 | 2021 |
| Graph domain adaptation: A generative view R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang ACM Transactions on Knowledge Discovery from Data 18 (3), 1-24, 2024 | 61 | 2024 |
| 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 (Spotlight), 2023 | 59 | 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 35 (10), 14833-14847, 2023 | 50 | 2023 |
| 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 | 46 | 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 46 (4), 1932-1949, 2023 | 41 | 2023 |
| 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 | 39 | 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 | 30 | 2020 |
| 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 | 17 | 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 | 16 | 2021 |
| Identifying semantic component for robust molecular property prediction Z Li, Z Xu, R Cai, Z Yang, Y Yan, Z Hao, G Chen, K Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 15 | 2025 |
| Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning W Chen, R Cai, Z Yang, J Qiao, Y Yan, Z Li, Z Hao ICML2024 (Oral), 2024 | 15 | 2024 |
| On the identification of temporally causal representation with instantaneous dependence Z Li, Y Shen, K Zheng, R Cai, X Song, M Gong, Z Zhu, G Chen, K Zhang ICLR2025 (Oral), 2025 | 14 | 2025 |
| 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 Neural Networks, 2022 | 13 | 2022 |
| Motif graph neural network X Chen, R Cai, Y Fang, M Wu, Z Li, Z Hao arXiv preprint arXiv:2112.14900, 2021 | 13 | 2021 |
| Causal Temporal Representation Learning with Nonstationary Sparse Transition X Song, Z Li, G Chen, Y Zheng, Y Fan, X Dong, K Zhang NeurIPS2024, 2024 | 9 | 2024 |
| TNPAR: topological neural poisson auto-regressive model for learning granger causal structure from event sequences Y Liu, R Cai, W Chen, J Qiao, Y Yan, Z Li, K Zhang, Z Hao Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20491 …, 2024 | 9 | 2024 |
Ruichu CaiProfessor of Computer Science, Guangdong University of TechnologyVerified email at gdut.edu.cn
