| Attention and amplification in the hybrid media system: The composition and activity of Donald Trump’s Twitter following during the 2016 presidential election Y Zhang, C Wells, S Wang, K Rohe New Media & Society 20 (9), 3161-3182, 2018 | 138 | 2018 |
| DialogVED: A pre-trained latent variable encoder-decoder model for dialog response generation W Chen, Y Gong, S Wang, B Yao, W Qi, Z Wei, X Hu, B Zhou, Y Mao, ... arXiv preprint arXiv:2204.13031, 2022 | 41 | 2022 |
| Z-code++: A pre-trained language model optimized for abstractive summarization P He, B Peng, L Lu, S Wang, J Mei, Y Liu, R Xu, HH Awadalla, Y Shi, ... arXiv preprint arXiv:2208.09770, 2022 | 39 | 2022 |
| Goal-oriented end-to-end conversational models with profile features in a real-world setting Y Lu, M Srivastava, J Kramer, H Elfardy, A Kahn, S Wang, V Bhardwaj Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 14 | 2019 |
| An end-to-end dialogue summarization system for sales calls A Asi, S Wang, R Eisenstadt, D Geckt, Y Kuper, Y Mao, R Ronen arXiv preprint arXiv:2204.12951, 2022 | 9 | 2022 |
| Joint generator-ranker learning for natural language generation W Shen, Y Gong, Y Shen, S Wang, X Quan, N Duan, W Chen arXiv preprint arXiv:2206.13974, 2022 | 6 | 2022 |
| Summarization with precise length control L Miculicich, Y Xie, S Wang, P He arXiv preprint arXiv:2305.05171, 2023 | 2 | 2023 |
| LMGQS: A Large-scale Dataset for Query-focused Summarization R Xu, S Wang, Y Liu, S Wang, Y Xu, D Iter, C Zhu, M Zeng arXiv preprint arXiv:2305.13086, 2023 | 1 | 2023 |
| Don’t Mind the (Eigen) Gap S Wang, K Rohe | 1 | 2016 |
| Statistical Modeling and Estimation of Community Structures in Networks S Wang The University of Wisconsin-Madison, 2017 | | 2017 |
| Discussion of “Coauthorship and citation networks for statisticians” SWK Rohe The Annals of Applied Statistics 10 (4), 1820-1826, 2016 | | 2016 |
