| Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing ICML: Proceedings of the 34th International Conference on Machine Learning, 2017, 2017 | 1298* | 2017 |
| Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing AISTATS: Artificial Intelligence and Statistics, 370-378, 2016 | 1072 | 2016 |
| Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing ACL: Annual meeting of the Association for Computational Linguistics, 2016, 2016 | 789 | 2016 |
| Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ... 2017 USENIX Annual Technical Conference (USENIX ATC 17), 181-193, 2017 | 497* | 2017 |
| Improved variational autoencoders for text modeling using dilated convolutions Z Yang, Z Hu, R Salakhutdinov, T Berg-Kirkpatrick ICML: Proceedings of the 34th International Conference on Machine Learning …, 2017 | 481 | 2017 |
| LCARS: a location-content-aware recommender system H Yin, Y Sun, B Cui, Z Hu, L Chen KDD: Proceedings of the 19th ACM SIGKDD international conference on …, 2013 | 459 | 2013 |
| Hybrid retrieval-generation reinforced agent for medical image report generation Y Li, X Liang, Z Hu, EP Xing Advances in neural information processing systems 31, 2018 | 389 | 2018 |
| Stochastic variational deep kernel learning AG Wilson, Z Hu, RR Salakhutdinov, EP Xing Advances in neural information processing systems 29, 2016 | 330 | 2016 |
| Reasoning with language model is planning with world model S Hao, Y Gu, H Ma, JJ Hong, Z Wang, DZ Wang, Z Hu arXiv preprint arXiv:2305.14992, 2023 | 328 | 2023 |
| 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 | 311 | 2018 |
| Knowledge-driven encode, retrieve, paraphrase for medical image report generation CY Li, X Liang, Z Hu, EP Xing Proceedings of the AAAI conference on artificial intelligence 33 (01), 6666-6673, 2019 | 307 | 2019 |
| RLPrompt: Optimizing discrete text prompts with reinforcement learning M Deng, J Wang, CP Hsieh, Y Wang, H Guo, T Shu, M Song, EP Xing, ... arXiv preprint arXiv:2205.12548, 2022 | 293 | 2022 |
| A survey of knowledge-enhanced text generation W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang ACM Computing Survey, 2022 | 291 | 2022 |
| Deep learning for text style transfer: A survey D Jin, Z Jin, Z Hu, O Vechtomova, R Mihalcea Computational Linguistics 48 (1), 155-205, 2022 | 279 | 2022 |
| Recurrent topic-transition gan for visual paragraph generation X Liang, Z Hu, H Zhang, C Gan, EP Xing ICCV: Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 254 | 2017 |
| Towards multi-pose guided virtual try-on network H Dong, X Liang, X Shen, B Wang, H Lai, J Zhu, Z Hu, J Yin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 234 | 2019 |
| Towards automated ICD coding using deep learning H Shi, P Xie, Z Hu, M Zhang, EP Xing arXiv preprint arXiv:1711.04075, 2017 | 215 | 2017 |
| Symbolic graph reasoning meets convolutions X Liang, Z Hu, H Zhang, L Lin, EP Xing Advances in neural information processing systems 31, 2018 | 189 | 2018 |
| Dynamic user modeling in social media systems H Yin, B Cui, L Chen, Z Hu, X Zhou ACM Transactions on Information Systems (TOIS) 33 (3), 1-44, 2015 | 186 | 2015 |
| A temporal context-aware model for user behavior modeling in social media systems H Yin, B Cui, L Chen, Z Hu, Z Huang SIGMOD: Proceedings of the 2014 ACM SIGMOD international conference on …, 2014 | 186 | 2014 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu