معرفی
Shiyu Chang is an Associate Professor in the Department of Computer Science at the University of California, Santa Barbara, focusing on machine learning with applications in natural language processing and computer vision. He previously worked as a research scientist at the MIT-IBM Watson AI Lab alongside Prof. Regina Barzilay and Prof. Tommi Jaakkola, and earned both his B.S. and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, advised by Prof. Thomas S. Huang.
- Education:
- PhD, University of Illinois at Urbana-Champaign
- BS, University of Illinois at Urbana-Champaign
His research centers on enhancing AI systems through human-AI interaction, aiming to improve interpretability, transferability, and adversarial robustness in LLMs. Recent work includes LLM watermarking defense, uncertainty decomposition, and self-denoised smoothing for model robustness.
His publications span premier venues like ICML, NeurIPS, CVPR, and ACL, with recurring themes in diffusion models, LLM optimization, and ethical AI (e.g., hallucination detection, unlearning frameworks). He actively mentors students, several of whom are marked as advisees (☆) in his publications.
