Xinrui Wang
Orcid: 0009-0006-0208-9063Affiliations:
- Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
According to our database1,
Xinrui Wang authored at least 14 papers
between 2023 and 2026.
Collaborative distances:
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Bibliography
2026
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization.
Mach. Learn., May, 2026
Filter, Obstruct, and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning.
IEEE Trans. Inf. Forensics Secur., 2026
2025
You Never Walk Alone: A Generalizable and Nonparametric Structure Learning Framework.
IEEE Trans. Neural Networks Learn. Syst., October, 2025
Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning.
CoRR, February, 2025
Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels.
Sci. China Inf. Sci., 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025
2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
CoRR, 2024
CoRR, 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning.
CoRR, 2023
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023