| Club: A contrastive log-ratio upper bound of mutual information P Cheng, W Hao, S Dai, J Liu, Z Gan, L Carin International conference on machine learning, 1779-1788, 2020 | 265 | 2020 |
| Adversarial text generation via feature-mover's distance L Chen, S Dai, C Tao, H Zhang, Z Gan, D Shen, Y Zhang, G Wang, ... Advances in neural information processing systems 31, 2018 | 159 | 2018 |
| Symmetric variational autoencoder and connections to adversarial learning L Chen, S Dai, Y Pu, E Zhou, C Li, Q Su, C Chen, L Carin International Conference on Artificial Intelligence and Statistics, 661-669, 2018 | 76 | 2018 |
| Jointgan: Multi-domain joint distribution learning with generative adversarial nets Y Pu, S Dai, Z Gan, W Wang, G Wang, Y Zhang, R Henao, LC Duke International Conference on Machine Learning, 4151-4160, 2018 | 45 | 2018 |
| Contrastively smoothed class alignment for unsupervised domain adaptation S Dai, Y Cheng, Y Zhang, Z Gan, J Liu, L Carin Proceedings of the Asian Conference on Computer Vision, 2020 | 34 | 2020 |
| Apo-vae: Text generation in hyperbolic space S Dai, Z Gan, Y Cheng, C Tao, L Carin, J Liu arXiv preprint arXiv:2005.00054, 2020 | 30 | 2020 |
| On fenchel mini-max learning C Tao, L Chen, S Dai, J Chen, K Bai, D Wang, J Feng, W Lu, G Bobashev, ... Advances in Neural Information Processing Systems 32, 2019 | 22 | 2019 |
| Variational annealing of GANs: A Langevin perspective C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ... International conference on machine learning, 6176-6185, 2019 | 19 | 2019 |
| Adaptation across extreme variations using unlabeled domain bridges S Dai, K Sohn, YH Tsai, L Carin, M Chandraker arXiv preprint arXiv:1906.02238, 2019 | 14 | 2019 |
| Bridging maximum likelihood and adversarial learning via α-divergence M Zhao, Y Cong, S Dai, L Carin Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6901-6908, 2020 | 12 | 2020 |
| Dialogue response generation via contrastive latent representation learning S Dai, G Wang, S Park, S Lee Proceedings of the 3rd Workshop on Natural Language Processing for …, 2021 | 5 | 2021 |
| Recognizing fine-grained objects in surveillance camera images YH Tsai, M Chandraker, S Dai, K Sohn US Patent 11,087,142, 2021 | 4 | 2021 |
| Exploring Deep Representation Learning on Vision and Language Intelligence S Dai Duke University, 2021 | | 2021 |
Zhe GanResearch Scientist, Appleapple.com의 이메일 확인됨
