Xinrui Wang

Orcid: 0009-0006-0208-9063

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization.
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

A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends.
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

Adaptive Federated Minimax Optimization with Lower Complexities.
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


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