| Video generation from text Y Li, M Min, D Shen, D Carlson, L Carin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 288 | 2018 |
| Storygan: A sequential conditional gan for story visualization Y Li, Z Gan, Y Shen, J Liu, Y Cheng, Y Wu, L Carin, D Carlson, J Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 235 | 2019 |
| Entity linking for tweets X Liu, Y Li, H Wu, M Zhou, F Wei, Y Lu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 175 | 2013 |
| Eventnet: A large scale structured concept library for complex event detection in video G Ye, Y Li, H Xu, D Liu, SF Chang Proceedings of the 23rd ACM international conference on Multimedia, 471-480, 2015 | 161 | 2015 |
| Extracting Relationships by Multi-Domain Matching Y Li, M Murias, S Major, G Dawson, DE Carlson Advances in Neural Information Processing Systems, 6799-6810, 2018 | 122 | 2018 |
| Sequential attention GAN for interactive image editing Y Cheng, Z Gan, Y Li, J Liu, J Gao Proceedings of the 28th ACM international conference on multimedia, 4383-4391, 2020 | 115 | 2020 |
| Improving Disentangled Text Representation Learning with Information-Theoretic Guidance P Cheng, MR Min, D Shen, C Malon, Y Zhang, Y Li, L Carin ACL, 2020 | 105 | 2020 |
| Targeting EEG/LFP synchrony with neural nets Y Li, K Dzirasa, L Carin, DE Carlson Advances in neural information processing systems 30, 2017 | 77 | 2017 |
| Graph-based multi-tweet summarization using social signals X Liu, Y Li, F Wei, M Zhou Proceedings of COLING 2012, 1699-1714, 2012 | 61 | 2012 |
| Multi-label learning from medical plain text with convolutional residual models Y Zhang, R Henao, Z Gan, Y Li, L Carin Machine Learning for Healthcare Conference, 280-294, 2018 | 50 | 2018 |
| Learning context-sensitive convolutional filters for text processing D Shen, MR Min, Y Li, L Carin arXiv preprint arXiv:1709.08294, 2017 | 48* | 2017 |
| On Target Shift in Adversarial Domain Adaptation Y Li, M Murias, S Major, G Dawson, DE Carlson AISTATS, 2019 | 36 | 2019 |
| Diffusion maps for textual network embedding X Zhang, Y Li, D Shen, L Carin Advances in Neural Information Processing Systems 31, 2018 | 29 | 2018 |
| Estimating uncertainty intervals from collaborating networks T Zhou, Y Li, Y Wu, D Carlson Journal of Machine Learning Research 22 (257), 1-47, 2021 | 16 | 2021 |
| Dynamic embedding on textual networks via a gaussian process P Cheng, Y Li, X Zhang, L Cheng, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2019 | 12 | 2019 |
| Electronic message classification and delivery using a neural network architecture R Min, D Shen, LI Yitong US Patent 10,635,858, 2020 | 10 | 2020 |
| Large video event ontology browsing, search and tagging (eventnet demo) H Xu, G Ye, Y Li, D Liu, SF Chang Proceedings of the 23rd ACM international conference on Multimedia, 803-804, 2015 | 8 | 2015 |
| Kernel-based approaches for sequence modeling: Connections to neural methods K Liang, G Wang, Y Li, R Henao, L Carin Advances in Neural Information Processing Systems 32, 2019 | 7 | 2019 |
| Non-oscillatory pattern learning for non-stationary signals J Xu, Y Li, D Dunson, I Daubechies, H Yang stat 1050, 22, 2018 | 3 | 2018 |
| Learning to weight filter groups for robust classification S Yuan, Y Li, D Wang, K Bai, L Carin, D Carlson Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 2 | 2022 |
David E. CarlsonAssociate Professor, Duke UniversityVerified email at duke.edu
