| Attngan: Fine-grained text to image generation with attentional generative adversarial networks T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 932 | 2018 |
| Uniter: Universal image-text representation learning YC Chen, L Li, L Yu, A El Kholy, F Ahmed, Z Gan, Y Cheng, J Liu European Conference on Computer Vision, 104-120, 2020 | 680* | 2020 |
| Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin NIPS, 2016 | 627 | 2016 |
| Semantic compositional networks for visual captioning Z Gan, C Gan, X He, Y Pu, K Tran, J Gao, L Carin, L Deng Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 383 | 2017 |
| Patient knowledge distillation for bert model compression S Sun, Y Cheng, Z Gan, J Liu arXiv preprint arXiv:1908.09355, 2019 | 357 | 2019 |
| Adversarial feature matching for text generation Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin International Conference on Machine Learning, 4006-4015, 2017 | 309 | 2017 |
| Stylenet: Generating attractive visual captions with styles C Gan, Z Gan, X He, J Gao, L Deng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 228 | 2017 |
| Freelb: Enhanced adversarial training for natural language understanding C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu International Conference on Learning Representations, 2020 | 204* | 2020 |
| Relation-aware graph attention network for visual question answering L Li, Z Gan, Y Cheng, J Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 186 | 2019 |
| Generating informative and diverse conversational responses via adversarial information maximization Y Zhang, M Galley, J Gao, Z Gan, X Li, C Brockett, B Dolan Advances in Neural Information Processing Systems 31, 2018 | 183 | 2018 |
| Large-scale adversarial training for vision-and-language representation learning Z Gan, YC Chen, L Li, C Zhu, Y Cheng, J Liu Advances in Neural Information Processing Systems 33, 6616-6628, 2020 | 157 | 2020 |
| Generating Text via Adversarial Training Y Zhang, Z Gan, L Carin Workshop on Adversarial Training, NIPS 2016, 2016 | 157 | 2016 |
| Hero: Hierarchical encoder for video+ language omni-representation pre-training L Li, YC Chen, Y Cheng, Z Gan, L Yu, J Liu arXiv preprint arXiv:2005.00200, 2020 | 126 | 2020 |
| Learning Generic Sentence Representations Using Convolutional Neural Networks Z Gan, Y Pu, R Henao, C Li, X He, L Carin Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017 | 126* | 2017 |
| Triangle generative adversarial networks Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin Advances in neural information processing systems 30, 2017 | 122 | 2017 |
| Discourse-aware neural extractive text summarization J Xu, Z Gan, Y Cheng, J Liu arXiv preprint arXiv:1910.14142, 2019 | 120 | 2019 |
| Learning deep sigmoid belief networks with data augmentation Z Gan, R Henao, D Carlson, L Carin Artificial Intelligence and Statistics, 268-276, 2015 | 118 | 2015 |
| 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 | 110 | 2018 |
| Deconvolutional paragraph representation learning Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin Advances in Neural Information Processing Systems 30, 2017 | 99 | 2017 |
| Tactical rewind: Self-correction via backtracking in vision-and-language navigation L Ke, X Li, Y Bisk, A Holtzman, Z Gan, J Liu, J Gao, Y Choi, S Srinivasa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 97 | 2019 |
Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)Verified email at kaust.edu.sa
