Xuanqing Liu
Institute of Space Sciences(ES)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Ionosphere and magnetosphere dynamics, Solar and Space Plasma Dynamics, Anomaly Detection Techniques and Applications, Topic Modeling
Most-Cited Works
- → Cluster-GCN(2019)1,180 cited
- → Towards Robust Neural Networks via Random Self-ensemble(2018)379 cited
- → Rob-GAN: Generator, Discriminator, and Adversarial Attacker(2019)122 cited
- → Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network(2018)89 cited
- → Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise(2019)89 cited
- → Learning to Encode Position for Transformer with Continuous Dynamical\n Model(2020)56 cited
- → Gradient Boosting Neural Networks: GrowNet(2020)54 cited
- → How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework(2020)48 cited
- → Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging(2021)34 cited