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
5912012
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
1482018
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
1092010
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
922009
SDNet: Contextualized attention-based deep network for conversational question answering
C Zhu, M Zeng, X Huang
arXiv preprint arXiv:1812.03593, 2018
722018
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
542020
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
342015
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
31*2020
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
28*2018
Parameter-free sentence embedding via orthogonal basis
Z Yang, C Zhu, W Chen
Empirical Methods in Natural Language Processing (EMNLP), 2019, 2019
23*2019
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
21*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
172020
Multi-task learning for natural language generation in task-oriented dialogue
C Zhu, M Zeng, X Huang
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
152019
THU and ICRC at TRECVID 2008.
Y Liang, X Liu, Z Wang, J Li, B Cao, Z Cao, Z Dai, Z Guo, W Li, L Luo, ...
TRECVID, 2008
152008
Data augmentation for spoken language understanding via pretrained models
B Peng, C Zhu, M Zeng, J Gao
arXiv e-prints, arXiv: 2004.13952, 2020
142020
Caching content addressable data chunks for storage virtualization
S Sengupta, C Zhu, CH Cheung, J Li, A Gupta
US Patent 9,729,659, 2017
142017
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
132019
A survey of knowledge-enhanced text generation
W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang
arXiv preprint arXiv:2010.04389, 2020
122020
Jaket: Joint pre-training of knowledge graph and language understanding
D Yu, C Zhu, Y Yang, M Zeng
arXiv preprint arXiv:2010.00796, 2020
122020
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
10*2021
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