Yao Qin

Affiliations:

University of California Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
University of California San Diego, CA, USA (PhD)

According to our database¹, Yao Qin authored at least 27 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Fast Decision Boundary based Out-of-Distribution Detector.

[BibT_eX]

[DOI]

Litian Liu

Yao Qin

CoRR, 2023

Initialization Matters for Adversarial Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Detecting Out-of-Distribution Through the Lens of Neural Collapse.

[BibT_eX]

[DOI]

Litian Liu

Yao Qin

CoRR, 2023

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Robust Prompts on Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Training Deep Boltzmann Networks with Sparse Ising Machines.

[BibT_eX]

[DOI]

CoRR, 2023

What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel.

[BibT_eX]

[DOI]

Yao Qin

Xuezhi Wang

Balaji Lakshminarayanan

Ed H. Chi

Alex Beutel

CoRR, 2023

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation.

[BibT_eX]

[DOI]

Yao Qin

Chiyuan Zhang

Ting Chen

Balaji Lakshminarayanan

Alex Beutel

Xuezhi Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Are Vision Transformers Robust to Patch Perturbations?

[BibT_eX]

[DOI]

Jindong Gu

Volker Tresp

Yao Qin

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving Calibration through the Relationship with Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Detecting, Diagnosing, Deflecting and Designing Adversarial Attacks.

[BibT_eX]

[DOI]

Yao Qin

PhD thesis, 2020

Improving Uncertainty Estimates through the Relationship with Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

Deflecting Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Hierarchical Cellular Automata for Visual Saliency.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

Autofocus Layer for Semantic Segmentation.

[BibT_eX]

[DOI]

Yao Qin

Konstantinos Kamnitsas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Saliency detection via Cellular Automata.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Yao Qin

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