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
5282015
Scale-invariant convolutional neural networks
Y Xu, T Xiao, J Zhang, K Yang, Z Zhang
arXiv preprint arXiv:1411.6369, 2014
1372014
Dynamic fusion networks for machine reading comprehension
Y Xu, J Liu, J Gao, Y Shen, X Liu
arXiv preprint arXiv:1711.04964, 2017
33*2017
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
25*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
24*2017
Measuring performance in real time during remote human-robot operations with adjustable autonomy
D Schreckenghost, T Milam, T Fong
IEEE Intelligent Systems, 36-45, 2010
242010
On Strategyproof Conference Peer Review
Y Xu, H Zhao, X Shi, NB Shah
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
202019
Computational issues in time-inconsistent planning
P Tang, Y Teng, Z Wang, S Xiao, Y Xu
arXiv preprint arXiv:1411.7472, 2014
132014
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
72019
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
62019
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
Y Xu, H Muthakana, S Balakrishnan, A Singh, A Dubrawski
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
42018
Novel quantization strategies for linear prediction with guarantees
S Du, Y Xu, H Zhang, C Li, P Grover, A Singh
Proceedings of ICML 2016 Workshop on On-Device Intelligence, 2016
32016
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
22020
Thresholding bandit problem with both duels and pulls
Y Xu, X Chen, A Singh, A Dubrawski
International Conference on Artificial Intelligence and Statistics, 2591-2600, 2020
22020
Preference-based Reinforcement Learning with Finite-Time Guarantees
Y Xu, R Wang, LF Yang, A Singh, A Dubrawski
arXiv preprint arXiv:2006.08910, 2020
12020
Interactive Linear Regression with Pairwise Comparisons
Y Xu, S Balakrishnan, A Singh, A Dubrawski
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 636-640, 2018
12018
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
Y Xu, S Balakrishnan, A Singh, A Dubrawski
Journal of Machine Learning Research 21 (162), 1-54, 2020
2020
1259: USING COMPARISONS TO REDUCE COST OF DATA ANNOTATION REQUIRED TO TRAIN MODELS FOR BEDSIDE MONITORING
J Sheng, L Chen, Y Xu, M Pinsky, M Hravnak, A Dubrawski
Critical Care Medicine 47 (1), 606, 2019
2019
Home/Publications
C Florensa, D Held, M Wulfmeier, P Abbeel, SR Shiang, A Gershman, ...
Journal Article 14 (1), 2017
2017
Learning and Decision Making from Diverse Forms of Information
Y Xu
National Institutes of Health, 2015
2015
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Articles 1–20