Weishi Shi
Cited by
Cited by
Correlation-aware multi-label active learning for web service tag recommendation
W Shi, X Liu, Q Yu
2017 IEEE International Conference on Web Services (ICWS), 229-236, 2017
Integrating multi-level tag recommendation with external knowledge bases for automatic question answering
E Lima, W Shi, X Liu, Q Yu
ACM Transactions on Internet Technology (TOIT) 19 (3), 1-22, 2019
Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews
X Liu, W Shi, A Kale, C Ding, Q Yu
ACM Transactions on Internet Technology (TOIT) 17 (2), 1-24, 2017
From novice to expert narratives of dermatological disease
N Obot, L O’Malley, I Nwogu, Q Yu, WS Shi, X Guo
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
A Bayesian learning model for design-phase service mashup popularity prediction
M Alshangiti, W Shi, X Liu, Q Yu
Expert Systems with Applications 149, 113231, 2020
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education
W Shi, S Malachowsky, Y El-Glaly, Q Yu, DE Krutz
arXiv preprint arXiv:2002.06445, 2020
Evidence-Aware Entropy Decomposition For Active Deep Learning
W Shi, X Zhao, F Chen, Q Yu
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
W Shi, Q Yu
International Conference on Machine Learning, 5769-5778, 2019
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
W Shi, Q Yu
Advances in Neural Information Processing Systems, 2285-2294, 2019
An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains
W Shi, Q Yu
2018 IEEE International Conference on Data Mining (ICDM), 1230-1235, 2018
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