Weishi Shi
Title
Cited by
Cited by
Year
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
172017
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
52019
Presenting and evaluating the impact of experiential learning in computing accessibility education
Y El-Glaly, W Shi, S Malachowsky, Q Yu, DE Krutz
2020 IEEE/ACM 42nd International Conference on Software Engineering …, 2020
42020
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
42017
Integrating bayesian and discriminative sparse kernel machines for multi-class active learning
W Shi, Q Yu
Advances in neural information processing systems, 2019
32019
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
22018
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
12020
Experiential learning in computing accessibility education
W Shi, S Khan, Y El-Glaly, S Malachowsky, Q Yu, DE Krutz
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
12020
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
12020
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
12019
Active Learning with Maximum Margin Sparse Gaussian Processes
W Shi, Q Yu
International Conference on Artificial Intelligence and Statistics, 406-414, 2021
2021
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
W Shi, X Zhao, F Chen, Q Yu
Advances in Neural Information Processing Systems 33, 2020
2020
Evidence-Aware Entropy Decomposition For Active Deep Learning
W Shi, X Zhao, F Chen, Q Yu
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
2018
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Articles 1–14