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| Variational autoencoders for highly multivariate spatial point processes intensities B Yuan, X Wang, J Ma, C Zhou, AL Bertozzi, H Yang Prof. Int. Conf. Learning Representations (ICLR), 2020 | 14 | 2020 |
| TCP-CReno-TCP enhancement using cross-layer for cognitive radio networks X Wang, X Sun, C Zhao, Z Zhou IET Digital Library, 2010 | 12 | 2010 |
| Learning stable graphs from multiple environments with selection bias Y He, P Cui, J Ma, H Zou, X Wang, H Yang, PS Yu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 10 | 2020 |
| Purify and generate: Learning faithful item-to-item graph from noisy user-item interaction behaviors Y He, Y Dong, P Cui, Y Jiao, X Wang, J Liu, PS Yu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 6 | 2021 |
| Inductive granger causal modeling for multivariate time series Y Chu, X Wang, J Ma, K Jia, J Zhou, H Yang 2020 IEEE International Conference on Data Mining (ICDM), 972-977, 2020 | 6 | 2020 |
| Granger Causal Structure Reconstruction from Heterogeneous Multivariate Time Series Y Chu, X Wang, C Feng, J Ma, J Zhou, H Yang | | 2019 |
| Learning Stable Graphs from Heterogeneous Confounded Environments Y He, P Cui, J Ma, H Zou, X Wang, H Yang, PS Yu | | |
