| 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 | 35 | 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 | 26 | 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 | 23 | 2020 |
| CLDG: Contrastive learning on dynamic graphs Y Xu, B Shi, T Ma, B Dong, H Zhou, Q Zheng 2023 IEEE 39th International Conference on Data Engineering (ICDE), 696-707, 2023 | 11 | 2023 |
| An edge feature aware heterogeneous graph neural network model to support tax evasion detection B Shi, B Dong, Y Xu, J Wang, Y Wang, Q Zheng Expert Systems with Applications 213, 118903, 2023 | 10 | 2023 |
| 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 | 8 | 2024 |
| A survey of tax risk detection using data mining techniques Q Zheng, Y Xu, H Liu, B Shi, J Wang, B Dong Engineering 34, 43-59, 2024 | 8 | 2024 |
| 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 | 7 | 2021 |
| 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 |
| 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 | 2 | 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 | 2 | 2021 |
| APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning B Dong, Y Xu, S Chi, Z Shi, Z Du 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
