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I am a Ph.D. student in the Department of Computing and Information Systems at the University of Melbourne, Australia.

About Me

My research interests lie in transfer learning of foundation models. I am particularly passionate about developing algorithms that align pre-trained foundation models (such as vision-language models and large language models) to downstream tasks with natural shifts. I am fortunate to be advised by Dr. Feng Liu, A/Prof. Sarah Erfani, and Prof. James Bailey.

Research Interests

  • Vision-language models
  • Large language models
  • Parameter-efficient fine-tuning
  • Image-text alignment

Education

  • Ph.D. in Computing and Information Systems, University of Melbourne, Australia

Advisors

Contact

Feel free to reach out to me via email at Email or connect with me on LinkedIn.

Acknowledgements

I would like to acknowledge the support and guidance of my advisors, and the collaborative environment provided by the University of Melbourne.

Jinhao Li's Projects

coop icon coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

housepriceprediction icon housepriceprediction

A full stack application with .net and angular predicting housing price in Brisbane in the next few years.

psmnet icon psmnet

Pyramid Stereo Matching Network (CVPR2018)

wca icon wca

[ICML 2024] Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

wechat-bot icon wechat-bot

This is a wechat bot project that will automatically send messages everyday.

wsdm2022-ptupcdr icon wsdm2022-ptupcdr

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

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