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Yichong Xu
Yichong Xu
Senior Researcher, Microsoft AI Cognitive Services
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
T Xiao, Y Xu, K Yang, J Zhang, Y Peng, Z Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
7952015
Scale-invariant convolutional neural networks
Y Xu, T Xiao, J Zhang, K Yang, Z Zhang
arXiv preprint arXiv:1411.6369, 2014
1292014
Multi-task learning with sample re-weighting for machine reading comprehension
Y Xu, X Liu, Y Shen, J Liu, J Gao
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
48*2019
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Y Xu, H Zhang, K Miller, A Singh, A Dubrawski
Advances in Neural Information Processing Systems, 2431--2440, 2017
40*2017
Dynamic fusion networks for machine reading comprehension
Y Xu, J Liu, J Gao, Y Shen, X Liu
arXiv preprint arXiv:1711.04964, 2017
38*2017
On strategyproof conference review
Y Xu, H Zhao, X Shi, N Shah
Arxiv preprint, 2019
282019
On Strategyproof Conference Peer Review
Y Xu, H Zhao, X Shi, NB Shah
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
222019
Active learning for graph neural networks via node feature propagation
Y Wu, Y Xu, A Singh, Y Yang, A Dubrawski
arXiv preprint arXiv:1910.07567, 2019
212019
Computational issues in time-inconsistent planning
P Tang, Y Teng, Z Wang, S Xiao, Y Xu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
202017
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
172022
Doubletransfer at mediqa 2019: Multi-source transfer learning for natural language understanding in the medical domain
Y Xu, X Liu, C Li, H Poon, J Gao
arXiv preprint arXiv:1906.04382, 2019
132019
Fusing context into knowledge graph for commonsense question answering
Y Xu, C Zhu, R Xu, Y Liu, M Zeng, X Huang
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
122021
Fusing context into knowledge graph for commonsense reasoning
Y Xu, C Zhu, R Xu, Y Liu, M Zeng, X Huang
arXiv preprint arXiv:2012.04808, 2020
122020
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
112021
Retrieval enhanced model for commonsense generation
H Wang, Y Liu, C Zhu, L Shou, M Gong, Y Xu, M Zeng
arXiv preprint arXiv:2105.11174, 2021
112021
Dialoglm: Pre-trained model for long dialogue understanding and summarization
M Zhong, Y Liu, Y Xu, C Zhu, M Zeng
arXiv preprint arXiv:2109.02492, 2021
102021
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
82021
Zeroth order non-convex optimization with dueling-choice bandits
Y Xu, A Joshi, A Singh, A Dubrawski
Conference on Uncertainty in Artificial Intelligence, 899-908, 2020
82020
Preference-based reinforcement learning with finite-time guarantees
Y Xu, R Wang, L Yang, A Singh, A Dubrawski
Advances in Neural Information Processing Systems 33, 18784-18794, 2020
82020
Human parity on commonsenseqa: Augmenting self-attention with external attention
Y Xu, C Zhu, S Wang, S Sun, H Cheng, X Liu, J Gao, P He, M Zeng, ...
arXiv preprint arXiv:2112.03254, 2021
72021
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