Zhiyi Shi

I am a first-year PhD student in Computer Science at University of Illinois Urbana-Champaign (UIUC), co-advised by Prof. Jimeng Sun and Prof. Quanzheng Li from Harvard MGH.

Prior to that, I received my Master's Degree from Carnegie Mellon University and my Bachelor's Degree from Southeast University.

My research interests include Multimodal Learning, LLMs, Medical AI.

I am actively seeking Summer 2026 Internship!

Email: zhiyis3 [AT] illinois [DOT] edu

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(*Equal Contribution)

DualEdit edits both textual and visual modalities in vision-language models at their most sensitive layers. A gating mechanism in the textual modality enables knowledge updates without harming the model's original abilities.

We propose LoRA-Dash, a framework that leverages task-specific directions (TSDs) to maximize fine-tuning efficiency and improve task performance.

We propose a generalization of matrix-based PEFT to higher-dimensional parameter spaces using Lie group modeling, ensuring structure-preserving updates and demonstrating improved performance across vision and language tasks.

MoRA is a computationally efficient method for multi-modal disease diagnosis that adapts to missing modalities using modality-specific low-rank projections.

We propose Spatial-Temporal Pre-Training (STPT), a two-stage self-supervised framework that efficiently handles memory and temporal misalignment, achieving state-of-the-art performance on 23,027 embryo videos with minimal computational resources.

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