| Hierarchical attention networks for document classification Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 6236 | 2016 |
| Stacked attention networks for image question answering Z Yang, X He, J Gao, L Deng, A Smola Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2394 | 2016 |
| Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing arXiv preprint arXiv:1703.00955, 2017 | 1317* | 2017 |
| Improved variational autoencoders for text modeling using dilated convolutions Z Yang, Z Hu, R Salakhutdinov, T Berg-Kirkpatrick International conference on machine learning, 3881-3890, 2017 | 477 | 2017 |
| Multimodal intelligence: Representation learning, information fusion, and applications C Zhang, Z Yang, X He, L Deng IEEE Journal of Selected Topics in Signal Processing 14 (3), 478-493, 2020 | 441 | 2020 |
| Mixtext: Linguistically-informed interpolation of hidden space for semi-supervised text classification J Chen, Z Yang, D Yang arXiv preprint arXiv:2004.12239, 2020 | 410 | 2020 |
| Deep fried convnets Z Yang, M Moczulski, M Denil, N De Freitas, A Smola, L Song, Z Wang Proceedings of the IEEE international conference on computer vision, 1476-1483, 2015 | 360 | 2015 |
| Unsupervised text style transfer using language models as discriminators Z Yang, Z Hu, C Dyer, EP Xing, T Berg-Kirkpatrick Advances in Neural Information Processing Systems 31, 2018 | 317 | 2018 |
| Parameter server for distributed machine learning M Li, L Zhou, Z Yang, A Li, F Xia, DG Andersen, A Smola Big learning NIPS workshop 6 (2), 2013 | 296 | 2013 |
| Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: Human language technologies R Mihalcea, J Chai, A Sarkar Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 230 | 2015 |
| A la carte–learning fast kernels Z Yang, A Wilson, A Smola, L Song Artificial Intelligence and Statistics, 1098-1106, 2015 | 163 | 2015 |
| On unifying deep generative models Z Hu, Z Yang, R Salakhutdinov, EP Xing arXiv preprint arXiv:1706.00550, 2017 | 151 | 2017 |
| Controllable text generation. arXiv preprint Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing arXiv preprint arXiv:1703.00955 7, 2017 | 151 | 2017 |
| Deep neural networks with massive learned knowledge Z Hu, Z Yang, R Salakhutdinov, E Xing Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 110 | 2016 |
| Reference-aware language models Z Yang, P Blunsom, C Dyer, W Ling arXiv preprint arXiv:1611.01628, 2016 | 107 | 2016 |
| Language models meet world models: Embodied experiences enhance language models J Xiang, T Tao, Y Gu, T Shu, Z Wang, Z Yang, Z Hu Advances in neural information processing systems 36, 75392-75412, 2023 | 103 | 2023 |
| Progressive generation of long text with pretrained language models B Tan, Z Yang, M AI-Shedivat, EP Xing, Z Hu arXiv preprint arXiv:2006.15720, 2020 | 98 | 2020 |
| Deep generative models with learnable knowledge constraints Z Hu, Z Yang, RR Salakhutdinov, L Qin, X Liang, H Dong, EP Xing Advances in Neural Information Processing Systems 31, 2018 | 98 | 2018 |
| Let’s make your request more persuasive: Modeling persuasive strategies via semi-supervised neural nets on crowdfunding platforms D Yang, J Chen, Z Yang, D Jurafsky, E Hovy Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 85 | 2019 |
| Security adoption and influence of cyber-insurance markets in heterogeneous networks Z Yang, JCS Lui Performance Evaluation 74, 1-17, 2014 | 79 | 2014 |
Zhiting HuAssistant Professor at UC San DiegoOverená e-mailová adresa na: ucsd.edu
