Ziang Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Sill-Net: Feature Augmentation with Separated Illumination Representation.

[BibT_eX]

[DOI]

CoRR, 2021

Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Learning Fast Approximations of Sparse Nonlinear Regression.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

DeepDefense: Training Deep Neural Networks with Improved Robustness.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Defense: Training DNNs with Improved Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

Zero-Shot Learning by Generating Pseudo Feature Representations.

[BibT_eX]

[DOI]

CoRR, 2017

Rare Chinese character recognition by Radical Extraction Network.

[BibT_eX]

[DOI]

Chengzhe Yan