Information diffusion and external influence in networks SA Myers, C Zhu, J Leskovec Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 651 | 2012 |
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 | 193 | 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 | 158 | 2020 |
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 | 121 | 2010 |
SDNet: Contextualized attention-based deep network for conversational question answering C Zhu, M Zeng, X Huang arXiv preprint arXiv:1812.03593, 2018 | 108 | 2018 |
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 | 105* | 2020 |
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 | 103 | 2022 |
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 |
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 | 91 | 2022 |
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 | 85* | 2020 |
MediaSum: A large-scale media interview dataset for dialogue summarization C Zhu, Y Liu, J Mei, M Zeng arXiv preprint arXiv:2103.06410, 2021 | 63 | 2021 |
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 | 59 | 2022 |
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 | 49 | 2020 |
Reducing Road Congestion Through Incentives: A Case Study C Zhu, JS Yue, CV Mandayam, D Merugu, HK Abadi, B Prabhakar Transportation Research Board 94th Annual Meeting, 2015 | 47 | 2015 |
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 | 45 | 2020 |
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization B Gunel, C Zhu, M Zeng, X Huang Conference on Neural Information Processing Systems (NeurIPS), Knowledge …, 2019 | 40 | 2019 |
Learning to attend on essential terms: An enhanced retriever-reader model for open-domain question answering J Ni, C Zhu, W Chen, J McAuley North American Chapter of the Association for Computational Linguistics …, 2018 | 40* | 2018 |
Parameter-free sentence embedding via orthogonal basis Z Yang, C Zhu, W Chen Empirical Methods in Natural Language Processing (EMNLP), 2019, 2019 | 36* | 2019 |
Leveraging lead bias for zero-shot abstractive news summarization C Zhu, Z Yang, R Gmyr, M Zeng, X Huang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 33* | 2021 |
RADDLE: An evaluation benchmark and analysis platform for robust task-oriented dialog systems B Peng, C Li, Z Zhang, C Zhu, J Li, J Gao Association for Computational Linguistics (ACL), Bangkok, Thailand, 2021., 2021 | 31 | 2021 |