Yichao Cai 蔡逸超

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I am a second-year PhD candidate at the Australian Institute for Machine Learning (AIML), University of Adelaide , fortunately supervised by Prof. Javen Qinfeng Shi, Dr. Zhen Zhang and Dr. Yuhang Liu.

My research explores the intersection of causality and machine learning, with particular emphasis on representation learning, causal generative modeling, and multimodal learning. In the long term, I aim to develop AI systems that uncover and leverage causal mechanisms while providing interpretable outcomes and reliable control.

I envision advanced intelligence that not only understands human conceptual frameworks but can also be clearly understood by humans, fostering more trustworthy and collaborative AI.

(“A good half of the art of living is resilience.” — by Alain de Botton)

news

Jul 2, 2024 Our work, CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts, is accepted to appear at ECCV 2024.

selected publications

  1. CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
    Yichao Cai, Yuhang Liu, Zhen Zhang, and Javen Qinfeng Shi
    2023
  2. Robust drivable road region detection for fixed-route autonomous vehicles using map-fusion images
    Yichao Cai, Dachuan Li, Xiao Zhou, and Xingang Mou
    Sensors 2018