| Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis P Verma, MH Van, X Wu arXiv preprint arXiv:2405.00876, 2024 | | 2024 |
| Robust Influence-Based Training Methods for Noisy Brain MRI MH Van, AN Carey, X Wu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 246-257, 2024 | | 2024 |
| Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models A Komanduri, C Zhao, F Chen, X Wu arXiv preprint arXiv:2404.17735, 2024 | | 2024 |
| Privacy Preserving Prompt Engineering: A Survey K Edemacu, X Wu arXiv preprint arXiv:2404.06001, 2024 | 2 | 2024 |
| Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach W Huang, X Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20438 …, 2024 | | 2024 |
| DP-TabICL: In-Context Learning with Differentially Private Tabular Data AN Carey, K Bhaila, K Edemacu, X Wu arXiv preprint arXiv:2403.05681, 2024 | 1 | 2024 |
| On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study MH Van, P Verma, X Wu arXiv preprint arXiv:2402.14162, 2024 | | 2024 |
| Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness C Zhao, F Mi, X Wu, K Jiang, L Khan, F Chen ACM Transactions on Knowledge Discovery from Data, 2024 | | 2024 |
| Supervised Algorithmic Fairness in Distribution Shifts: A Survey Y Lin, D Li, C Zhao, X Wu, Q Tian, M Shao arXiv preprint arXiv:2402.01327, 2024 | | 2024 |
| In-Context Learning Demonstration Selection via Influence Analysis S Vinay M, MH Van, X Wu arXiv e-prints, arXiv: 2402.11750, 2024 | | 2024 |
| Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks K Bhaila, X Wu | | 2024 |
| Local differential privacy in graph neural networks: a reconstruction approach K Bhaila, W Huang, Y Wu, X Wu Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 1-9, 2024 | 2 | 2024 |
| Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach W Huang, J Zhou, X Wu, D Dou 2023 IEEE International Conference on Big Data (BigData), 27-36, 2023 | | 2023 |
| Randomized Response Has No Disparate Impact on Model Accuracy AN Carey, K Bhaila, X Wu 2023 IEEE International Conference on Big Data (BigData), 5460-5465, 2023 | | 2023 |
| A robust classifier under missing-not-at-random sample selection bias H Mai, W Huang, W Du, X Wu 2023 IEEE International Conference on Big Data (BigData), 1206-1213, 2023 | | 2023 |
| HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks MH Van, AN Carey, X Wu 2023 IEEE International Conference on Data Mining (ICDM), 608-617, 2023 | | 2023 |
| Fairness-Aware Domain Generalization under Covariate and Dependence Shifts C Zhao, K Jiang, X Wu, H Wang, L Khan, C Grant, F Chen arXiv preprint arXiv:2311.13816, 2023 | 2 | 2023 |
| Detecting and correcting hate speech in multimodal memes with large visual language model MH Van, X Wu arXiv preprint arXiv:2311.06737, 2023 | 7 | 2023 |
| How to Backdoor HyperNetwork in Personalized Federated Learning? P Lai, H Phan, I Khalil, A Khreishah, X Wu NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and …, 2023 | | 2023 |
| From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling A Komanduri, X Wu, Y Wu, F Chen arXiv preprint arXiv:2310.11011, 2023 | 5 | 2023 |
Shuhan YuanUtah State University在 usu.edu 的电子邮件经过验证
