Yao Zhou
Title
Cited by
Cited by
Year
Crowdsourcing via Tensor Augmentation and Completion
Y Zhou, J He
International Joint Conference on Artificial Intelligence (IJCAI), 2016
402016
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners
Y Zhou, AR Nelakurthi, J He
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
192018
MultiC: an Optimization Framework for Learning from Task and Worker Dual Heterogeneity
Y Zhou, L Ying, J He
SIAM International Conference on Data Mining (SDM), 2017
182017
A Practical Method for Counting Arbitrary Target Objects in Arbitrary Scenes
Y Zhou, J Luo
IEEE International Conference on Multimedia and Expo (ICME), 2013
152013
A Randomized Approach for Crowdsourcing in the Presence of Multiple Views
Y Zhou, J He
IEEE International Conference on Data Mining (ICDM), 2017
132017
Multi-task Crowdsourcing via an Optimization Framework
Y Zhou, L Ying, J He
ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (3), 1-26, 2019
32019
A Winners-Take-All Incentive Mechanism for Crowd-Powered Systems
P Jiang, W Wang, Y Zhou, J He, L Ying
SIGMETRIC Workshop (NetEcon), 2018
32018
Crowd Teaching with Imperfect Labels
Y Zhou, AR Nelakurthi, R Maciejewski, W Fan, J He
The Web Conference (WWW), 2020
22020
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching
Y Zhou, F Ma, J Gao, J He
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
22019
GAN-based Recommendation with Positive-Unlabeled Sampling
Y Zhou, J Xu, J Wu, ZT Nasrabadi, E Korpeoglu, K Achan, J He
arXiv preprint arXiv:2012.06901, 2020
12020
Robust Decentralized Learning for Neural Networks
Y Zhou, J Wu, J He
arXiv preprint arXiv:2009.09026, 2020
2020
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Articles 1–11