Open-ended visual question answering by multi-modal domain adaptation Y Xu, L Chen, Z Cheng, L Duan, J Luo Conference on Empirical Methods in Natural Language Processing, 2020 | 33 | 2020 |
Open set domain adaptation with soft unknown-class rejection Y Xu, L Chen, L Duan, IW Tsang, J Luo IEEE Transactions on Neural Networks and Learning Systems, 2021 | 21 | 2021 |
An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain D Rajpathak, Y Xu, I Gibbs Computers in Industry 123, 103338, 2020 | 18 | 2020 |
Automatic ontology learning from domain-specific short unstructured text data Y Xu, D Rajpathak, I Gibbs, D Klabjan Knowledge Engineering and Knowledge Management, 2020 | 7 | 2020 |
Concept drift and covariate shift detection ensemble with lagged labels Y Xu, D Klabjan 2021 IEEE International Conference on Big Data (Big Data), 1504-1513, 2021 | 6 | 2021 |
Efficient toxic content detection by bootstrapping and distilling large language models J Zhang, Q Wu, Y Xu, C Cao, Z Du, K Psounis Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21779 …, 2024 | 3 | 2024 |
Open Set Domain Adaptation by Extreme Value Theory Y Xu, D Klabjan 2022 IEEE International Conference on Big Data (Big Data), 2022 | 3 | 2022 |
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning S Chi, B Dong, Y Xu, Z Shi, Z Du arxiv, 2023 | 1 | 2023 |
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks Y Xu, D Klabjan 2021 International Joint Conference on Artificial Intelligence, 2021 | 1 | 2021 |