| Information diffusion and external influence in networks SA Myers, C Zhu, J Leskovec Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 663 | 2012 |
| An empirical study of training end-to-end vision-and-language transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 196 | 2022 |
| FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension HY Huang, C Zhu, Y Shen, W Chen Sixth International Conference on Learning Representations (ICLR), Vancouver …, 2018 | 196 | 2018 |
| Few-shot natural language generation for task-oriented dialog B Peng, C Zhu, C Li, X Li, J Li, M Zeng, J Gao Empirical Methods in Natural Language Processing (EMNLP) 2020 Findings, 2020 | 180 | 2020 |
| Enhancing Factual Consistency of Abstractive Summarization C Zhu, W Hinthorn, R Xu, Q Zeng, M Zeng, X Huang, M Jiang North American Chapter of the Association for Computational Linguistics …, 2020 | 154* | 2020 |
| A survey of knowledge-enhanced text generation W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang ACM Computing Surveys 54 (11s), 1-38, 2022 | 153 | 2022 |
| A novel click model and its applications to online advertising ZA Zhu, W Chen, T Minka, C Zhu, Z Chen Proceedings of the third ACM international conference on Web search and data …, 2010 | 127 | 2010 |
| SDNet: Contextualized attention-based deep network for conversational question answering C Zhu, M Zeng, X Huang arXiv preprint arXiv:1812.03593, 2018 | 115 | 2018 |
| A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining C Zhu, R Xu, M Zeng, X Huang Empirical Methods in Natural Language Processing (EMNLP) 2020 Findings, 2020 | 112* | 2020 |
| P-packSVM: Parallel primal gradient descent kernel SVM AZ Zeyuan, C Weizhu, W Gang, Z Chenguang, C Zheng 2009 Ninth IEEE International Conference on Data Mining, 677-686, 2009 | 96 | 2009 |
| Jaket: Joint pre-training of knowledge graph and language understanding D Yu, C Zhu, Y Yang, M Zeng Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11630 …, 2022 | 91 | 2022 |
| MediaSum: A large-scale media interview dataset for dialogue summarization C Zhu, Y Liu, J Mei, M Zeng arXiv preprint arXiv:2103.06410, 2021 | 86 | 2021 |
| Want to reduce labeling cost? GPT-3 can help S Wang, Y Liu, Y Xu, C Zhu, M Zeng arXiv preprint arXiv:2108.13487, 2021 | 71 | 2021 |
| G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu arXiv preprint arXiv:2303.16634, 2023 | 64 | 2023 |
| Dialoglm: Pre-trained model for long dialogue understanding and summarization M Zhong, Y Liu, Y Xu, C Zhu, M Zeng Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11765 …, 2022 | 63 | 2022 |
| Clip-event: Connecting text and images with event structures M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 61 | 2022 |
| SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding YA Chung, C Zhu, M Zeng North American Chapter of the Association for Computational Linguistics …, 2020 | 59 | 2020 |
| Ted: A pretrained unsupervised summarization model with theme modeling and denoising Z Yang, C Zhu, R Gmyr, M Zeng, X Huang, E Darve Empirical Methods in Natural Language Processing 2020 Findings, 2020 | 56 | 2020 |
| Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering D Yu, C Zhu, Y Fang, W Yu, S Wang, Y Xu, X Ren, Y Yang, M Zeng arXiv preprint arXiv:2110.04330, 2021 | 54 | 2021 |
| Training data is more valuable than you think: A simple and effective method by retrieving from training data S Wang, Y Xu, Y Fang, Y Liu, S Sun, R Xu, C Zhu, M Zeng arXiv preprint arXiv:2203.08773, 2022 | 53 | 2022 |
Xuedong D. HuangMicrosoftVerified email at microsoft.com
