| Federated Learning with Reduced Information Leakage and Computation T Yin, X Tan, X Zhang, MM Khalili, M Liu Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
| Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness X Tan, Y Zhou, MC Zhou, ZH Fu IEEE Transactions on Automation Science and Engineering, 2024 | 2 | 2024 |
| Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning X Tan, YJ Huang, Y Li arXiv preprint arXiv:2308.15575, 2023 | 1 | 2023 |
| DroughtSet: Understanding Drought Through Spatial-Temporal Learning X Tan, Q Zhao, Y Liu, X Zhang AAAI 2025, 2024 | | 2024 |
| Understanding Drought through Spatial-Temporal Learning X Tan, Q Zhao, Y Liu, X Zhang Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities …, 2024 | | 2024 |
| Lookahead Counterfactual Fairness Z Zuo, T Xie, X Tan, X Zhang, MM Khalili Transactions on Machine Learning Research (TMLR), 2024 | | 2024 |
| ProFL: Performative Robust Optimal Federated Learning X Zheng, T Xie, X Tan, A Yener, X Zhang, A Payani, M Lee arXiv preprint arXiv:2410.18075, 2024 | | 2024 |
| Algorithmic Decision-Making under Agents with Persistent Improvement T Xie, X Tan, X Zhang AAAI Conference on AI, Ethics, and Society (AIES), 2024 | | 2024 |
| Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks Z Qin, X Tan, Z Zhu IEEE Signal Processing Letters, 2024 | | 2024 |
| Counterfactual Fairness With the Human in the Loop Z Zuo, T Xie, X Tan, X Zhang, MM Khalili | | |
| Exploiting Open-World Data for Adaptive Continual Learning X Tan, T Xie, Z Zuo, X Zhang | | |
Xueru ZhangAssistant Professor, Computer Science and Engineering, The Ohio State University在 osu.edu 的电子邮件经过验证
