About me

I’m a first-year PhD student at CU Boulder in the IVC Group, advised by Prof. Danna Gurari. My research focuses on the intersections of Computer Vision and Multi-Modal Learning, with applications in assistive technologies and coffee analytics.

I have worked as a Research Assistant with Prof. Jiawei Zhang on parameter-efficient finetuning in Vision-language models and gained experience in Multimodal Learning in breast cancer classification and segmentation while working as a research assistant under Prof. Chen-Nee Chuah. Additionally, I was a founding member of RoastPic with Prof. William Ristenpart, focusing on morphology and color analysis of coffee in LAB spaces.

Beyond my research, I earned my Q certification in 2020, which recognizes my ability to assess Specialty Coffee quality worldwide. The stereotypical combination of coffee and the outdoors (and the Boulder stereotype) has also influenced me, and I have embraced outdoor activities a lot more in recent years. I now spend a lot of time in the mountains, hiking, skiing, and photographing.

Publications and Technical Reports

• Parameter-Efficient Fine-Tuning for Vision-Language Models
  Zhuoheng Li, Zhuosheng Liu, Jiawei Zhang; Under Review

• CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts
  Zhengfeng Lai, Zhuoheng Li, Luca Cerny Oliveira, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah; ICCV 2023 Workshop on Computer Vision for Automated Medical Diagnosis

• DeepCoffee : Coffee Flavors Prediction Using Deep Learning
  Manisha Sri Suresh, Zhuoheng Li; Technical report for ECS 289G Final Project