Yichao Cai
蔡逸超

"A good half of the art of living is resilience." — Alain de Botton
I am a second-year PhD candidate at the Australian Institute for Machine Learning (AIML), University of Adelaide, under the supervision of Prof. Javen Qinfeng Shi, Dr. Zhen Zhang, and Dr. Yuhang Liu. I received my M.S. and B.Eng. degrees in Instrument Science from Wuhan University of Technology.
My research lies at the intersection of representation learning, multimodal modeling, and causality. I aim to develop principled machine learning systems that can faithfully capture semantic structure—even in the presence of noise, bias, or missing supervision.
At the core of my work is a simple question: What makes a representation meaningful, controllable, and aligned with how humans understand the world? I believe that building reliable and interpretable AI requires more than scale—it demands a deeper engagement with human conceptual frameworks. Looking ahead, I envision machine learning systems that reason with structure, embrace changes, and remain accountable to the values we encode in data.
news
Apr 16, 2025 | Check out our new preprint—Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning ! |
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Jul 02, 2024 | Our work, CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts, is accepted to appear at ECCV 2024. |
latest posts
Feb 23, 2025 | The Generalization–Specialization Dilemma |
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Jan 08, 2025 | Language and the Art of Modeling the World |
May 25, 2024 | Three Weekly Self-Introspections |