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Chenguang Zhu
Chenguang Zhu
Principal Research Manager at Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Information diffusion and external influence in networks
SA Myers, C Zhu, J Leskovec
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
6512012
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
1932018
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
1582020
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
1212010
SDNet: Contextualized attention-based deep network for conversational question answering
C Zhu, M Zeng, X Huang
arXiv preprint arXiv:1812.03593, 2018
1082018
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
1032022
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
962009
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
912022
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
632021
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
592022
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
492020
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
472015
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
452020
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
402019
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
312021
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