| Fairgan: Fairness-aware generative adversarial networks D Xu, S Yuan, L Zhang, X Wu 2018 IEEE international conference on big data (big data), 570-575, 2018 | 312 | 2018 |
| The microbial gene diversity along an elevation gradient of the Tibetan grassland Y Yang, Y Gao, S Wang, D Xu, H Yu, L Wu, Q Lin, Y Hu, X Li, Z He, ... The ISME journal 8 (2), 430-440, 2014 | 286 | 2014 |
| Responses of the functional structure of soil microbial community to livestock grazing in the T ibetan alpine grassland Y Yang, L Wu, Q Lin, M Yuan, D Xu, H Yu, Y Hu, J Duan, X Li, Z He, K Xue, ... Global change biology 19 (2), 637-648, 2013 | 283 | 2013 |
| Fairness-aware agnostic federated learning W Du, D Xu, X Wu, H Tong Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 109 | 2021 |
| Achieving causal fairness through generative adversarial networks D Xu, Y Wu, S Yuan, L Zhang, X Wu Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 96 | 2019 |
| Achieving differential privacy and fairness in logistic regression D Xu, S Yuan, X Wu Companion proceedings of The 2019 world wide web conference, 594-599, 2019 | 81 | 2019 |
| Removing disparate impact on model accuracy in differentially private stochastic gradient descent D Xu, W Du, X Wu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 55* | 2021 |
| FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets D Xu, S Yuan, L Zhang, X Wu 2019 IEEE international conference on big data (Big Data), 1401-1406, 2019 | 49 | 2019 |
| DPNE: Differentially private network embedding D Xu, S Yuan, X Wu, HN Phan Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 46 | 2018 |
| Achieving differential privacy in vertically partitioned multiparty learning D Xu, S Yuan, X Wu 2021 IEEE International Conference on Big Data (Big Data), 5474-5483, 2021 | 26 | 2021 |
| Evaluating the lingering effect of livestock grazing on functional potentials of microbial communities in Tibetan grassland soils M Wang, S Wang, L Wu, D Xu, Q Lin, Y Hu, X Li, J Zhou, Y Yang Plant and Soil 407, 385-399, 2016 | 25 | 2016 |
| Identification of 1, 2, 3-triazole derivatives that protect pancreatic β cells against endoplasmic reticulum stress-mediated dysfunction and death through the inhibition of C … H Duan, D Arora, Y Li, H Setiadi, D Xu, HY Lim, W Wang Bioorganic & medicinal chemistry 24 (12), 2621-2630, 2016 | 16 | 2016 |
| Differential privacy preserving causal graph discovery D Xu, S Yuan, X Wu 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 60-71, 2017 | 15 | 2017 |
| Discovery of a benzamide derivative that protects pancreatic β-cells against endoplasmic reticulum stress H Duan, Y Li, D Arora, D Xu, HY Lim, W Wang Journal of medicinal chemistry 60 (14), 6191-6204, 2017 | 10 | 2017 |
| GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient Y Gao, S Wang, D Xu, H Yu, L Wu, Q Lin, Y Hu, X Li, Z He, Y Deng, J Zhou, ... Genomics data 2, 132-134, 2014 | 10 | 2014 |
| InterpretableSAD: Interpretable anomaly detection in sequential log data X Han, H Cheng, D Xu, S Yuan 2021 IEEE International Conference on Big Data (Big Data), 1183-1192, 2021 | 8 | 2021 |
| Coded hate speech detection via contextual information D Xu, S Yuan, Y Wang, AU Nwude, L Zhang, A Zajicek, X Wu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 93-105, 2022 | 4 | 2022 |
| Dpweka: Achieving differential privacy in weka S Katla, D Xu, Y Wu, Q Pan, X Wu 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 184-185, 2017 | 4 | 2017 |
| Fine-grained anomaly detection in sequential data via counterfactual explanations H Cheng, D Xu, S Yuan, X Wu arXiv preprint arXiv:2210.04145, 2022 | 3 | 2022 |
| Few-shot Anomaly Detection and Classification Through Reinforced Data Selection X Han, D Xu, S Yuan, X Wu 2022 IEEE International Conference on Data Mining (ICDM), 963-968, 2022 | 2 | 2022 |
Xintao WuUniversity of ArkansasVerified email at uark.edu
