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Jun Wang
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Generative semi-supervised learning for multivariate time series imputation
X Miao, Y Wu, J Wang, Y Gao, X Mao, J Yin
Proceedings of the AAAI conference on artificial intelligence 35 (10), 8983-8991, 2021
1052021
Efficient and effective data imputation with influence functions
X Miao, Y Wu, L Chen, Y Gao, J Wang, J Yin
Proceedings of the VLDB Endowment 15 (3), 624-632, 2021
182021
Understanding Square Loss in Training Overparametrized Neural Network Classifiers
T Hu*, J Wang*, W Wang*, Z Li, (*equal contributions)
Advances in Neural Information Processing Systems 35, 16495-16508, 2022
162022
Deep learning for multivariate time series imputation: A survey
J Wang*, W Du*, W Cao, K Zhang, W Wang, Y Liang, Q Wen, ...
arXiv preprint arXiv:2402.04059, 2024
82024
Differentiable and Scalable Generative Adversarial Models for Data Imputation
Y Wu*, J Wang*, X Miao, W Wang, J Yin, (*equal contributions)
IEEE Transactions on Knowledge and Data Engineering, 2022
82022
Counterclr: Counterfactual contrastive learning with non-random missing data in recommendation
J Wang, H Li, C Zhang, D Liang, E Yu, W Ou, W Wang
2023 IEEE International Conference on Data Mining (ICDM), 1355-1360, 2023
32023
TSI-Bench: Benchmarking Time Series Imputation
W Du*, J Wang*, L Qian*, Y Yang*, F Liu, Z Wang, Z Ibrahim, H Liu, ...
arXiv preprint arXiv:2406.12747, 2024
2024
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