I am a research engineer at the Center for AI Safety. I earned my Ph.D. from the Department of Electrical and Computer Engineering at the University of Virginia. During my tenure there, I was a member of the Imaging and Data Science Lab, where I worked under the supervision of Prof. Gustavo K. Rohde.

Research interests

• Adversarial Machine Learning: Detecting adversarial examples and robust classification
• Generative Modeling: Employ adversarial training to learn energy-based generative models
• Multimodal Learning: Use RNN language models to generative descriptive language from object layouts

Publications and working papers

• Learning Globally Optimized Language Structure via Adversarial Training
  Xuwang Yin
  Report, September, 2023 [arxiv]

• Testing Robustness Against Unforeseen Adversaries
  Max Kaufmann, Daniel Kang, Yi Sun, Steven Basart, Xuwang Yin, Mantas Mazeika, Akul Arora, Adam Dziedzic, Franziska Boenisch, Tom Brown, Jacob Steinhardt, Dan Hendrycks
  Preprint, July, 2023 [arxiv] [code]

• A Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination
  Mohamed Abul Hassan, Xuwang Yin, Yan Zhuang, Chad M Aldridge, Timothy McMurry, Andrew M Southerland, Gustavo K Rohde
  IEEE Journal of Biomedical and Health Informatics, June, 2023 [Paper Link]

• Generative Robust Classification
  Xuwang Yin
  Preprint, December, 2022 [arxiv]

• Learning Energy-Based Models With Adversarial Training
  Xuwang Yin, Shiying Li, Gustavo K. Rohde
  European Conference on Computer Vision (ECCV 2022)  [code] [arxiv] [poster] [video]

• GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
  Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde
  International Conference on Learning Representations (ICLR 2020) [code][Paper Link]

• Radon Cumulative Distribution Transform Subspace Modeling for Image Classification
  M Shifat-E-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde
  Journal of Mathematical Imaging and Vision, 2021 [code][Paper Link]

• Neural Networks, Hypersurfaces, and Radon Transforms
  Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
  IEEE Signal Processing Magazine, July 2020 [code][Paper link][arxiv]

• Cell image classification: a comparative overview
  Shifat‐E‐Rabbi Mohammad, Xuwang Yin, Cailey E. Fitzgerald, and Gustavo K. Rohde.
  Cytometry Part A, the Journal of Quantitative Cell Science, 2020 [Paper Link]

• OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts.
  Xuwang Yin and Vicente Ordonez
  Empirical Methods in Natural Language Processing (EMNLP oral presentation), 2017 [code][Paper Link]

• Robust Text Detection in Natural Scene Images
  Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, Hong-Wei Hao
  IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2014, [Paper Link]

• Effective text localization in natural scene images with MSER, geometry-based grouping and AdaBoost
  Xuwang Yin, Xu-Cheng Yin, Hong-Wei Hao, Khalid Iqbal
  International Conference on Pattern Recognition (ICPR), 2012 [Paper link]