Cihang Xie

Assistant Professor, University of California, Santa Cruz

Dr. Cihang Xie is an Assistant Professor in Computer Science and Engineering at UC Santa Cruz, aiming to build robust and trustworthy computer vision systems capable of performing at human-levels. His recent works focus on developing deep representation learning with minimal supervision in a highly efficient manner. In addition, Dr. Xie is interested in tackling the critical challenge of securing model performance under distribution shifts, which is vital for safely deploying real-world computer vision and machine learning systems. 

Keywords

  • Adversarial Machine Learning
  • Self-Supervised Learning
  • Efficient Learning
  • Trustworthy AI
  • Multimodal Learning
  • Out-of-Distribution Generalization

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