Zijian Li
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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
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
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
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
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
arXiv preprint arXiv:2012.11797, 2020
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
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
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
Graph domain adaptation: A generative view
R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang
arXiv preprint arXiv:2106.07482, 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
Motif Graph Neural Network
X Chen, R Cai, Y Fang, M Wu, Z Li, Z Hao
arXiv preprint arXiv:2112.14900, 2021
Transferable time-series forecasting under causal conditional shift
Z Li, R Cai, TZJ Fu, K Zhang
arXiv preprint arXiv:2111.03422, 2021
Disentanglement Challenge: From Regularization to Reconstruction
J Qiao, Z Li, B Xu, R Cai, K Zhang
arXiv preprint arXiv:1912.00155, 2019
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
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
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies
R Cai, F Wu, Z Li, J Qiao, W Chen, Y Hao, H Gu
arXiv preprint arXiv:2201.04952, 2022
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Z Li, R Cai, KS Chai, HW Ng, HD Vu, M Winslett, TZJ Fu, B Xu, X Yang, ...
arXiv preprint arXiv:1910.06761, 2019
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