| Gan memory with no forgetting Y Cong, M Zhao, J Li, S Wang, L Carin Advances in Neural Information Processing Systems 33, 16481-16494, 2020 | 105 | 2020 |
| Augmentable gamma belief networks M Zhou, Y Cong, B Chen The Journal of Machine Learning Research 17 (1), 5656-5699, 2016 | 93 | 2016 |
| On leveraging pretrained gans for generation with limited data M Zhao, Y Cong, L Carin International Conference on Machine Learning, 11340-11351, 2020 | 91 | 2020 |
| Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC Y Cong, B Chen, H Liu, M Zhou International conference on machine learning, 864-873, 2017 | 66 | 2017 |
| The Poisson gamma belief network M Zhou, Y Cong, B Chen Advances in Neural Information Processing Systems 28, 2015 | 59 | 2015 |
| Craniomaxillofacial bony structures segmentation from MRI with deep-supervision adversarial learning M Zhao, L Wang, J Chen, D Nie, Y Cong, S Ahmad, A Ho, P Yuan, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 55 | 2018 |
| Fast simulation of hyperplane-truncated multivariate normal distributions Y Cong, B Chen, M Zhou | 52 | 2017 |
| Nonparametric Bayesian attributed scattering center extraction for synthetic aperture radar targets Y Cong, B Chen, H Liu, B Jiu IEEE Transactions on Signal Processing 64 (18), 4723-4736, 2016 | 46 | 2016 |
| Compressive sensing of stepped-frequency radar based on transfer learning D Xu, L Du, H Liu, P Wang, J Yan, Y Cong, X Han IEEE Transactions on Signal Processing 63 (12), 3076-3087, 2015 | 38 | 2015 |
| Deep autoencoding topic model with scalable hybrid Bayesian inference H Zhang, B Chen, Y Cong, D Guo, H Liu, M Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4306 …, 2020 | 33 | 2020 |
| Joint ISAR imaging and cross-range scaling method based on compressive sensing with adaptive dictionary B Jiu, H Liu, H Liu, L Zhang, Y Cong, Z Bao IEEE Transactions on Antennas and Propagation 63 (5), 2112-2121, 2015 | 27 | 2015 |
| GO gradient for expectation-based objectives Y Cong, M Zhao, K Bai, L Carin ICLR 2019, 2019 | 24 | 2019 |
| On Leveraging Pretrained GANs for Limited-Data Generation M Zhao, Y Cong, L Carin ICML 2020, 2020 | 20 | 2020 |
| A practical deceptive jamming method based on vulnerable location awareness adversarial attack for radar HRRP target recognition C Du, Y Cong, L Zhang, D Guo, S Wei IEEE Transactions on Information Forensics and Security 17, 2410-2424, 2022 | 13 | 2022 |
| Bridging Maximum Likelihood and Adversarial Learning via α-Divergence M Zhao, Y Cong, S Dai, L Carin AAAI 2020, 2020 | 12 | 2020 |
| Gamma belief networks M Zhou, Y Cong, B Chen arXiv preprint arXiv:1512.03081, 2015 | 5 | 2015 |
| Text feature adversarial learning for text generation with knowledge transfer from gpt2 H Zhang, Y Cong, Z Wang, L Zhang, M Zhao, L Chen, S Si, R Henao, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 3 | 2022 |
| Big Learning Y Cong, M Zhao arXiv preprint arXiv:2207.03899, 2022 | 2 | 2022 |
| Big Learning Expectation Maximization Y Cong, S Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11669 …, 2024 | 1 | 2024 |
| GO Hessian for Expectation-Based Objectives Y Cong, M Zhao, J Li, J Chen, L Carin Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 12060 …, 2021 | 1 | 2021 |
Miaoyun ZhaoDuke UniversityDirección de correo verificada de duke.edu
