Ruijiang Dong photo

Ruijiang Dong Ph.D. Student

School of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne

About Me

I am Ruijiang Dong, a Ph.D. student in the Trustworthy Machine Learning and Reasoning Group (TMLR), Faculty of Engineering and Information Technology, The University of Melbourne, advised by Dr. Feng Liu, Prof. Jianzhong Qi, and Dr. Zesheng Ye.

My research focuses on vision-language models (VLMs), with a particular interest in efficient adaptation and prompt learning for large-scale models.

Prior to my Ph.D., I worked as a research assistant at the TMLR Lab at Hong Kong Baptist University (HKBU), where I developed methods for source-free domain adaptation.

Current focus: Efficient VLM tuning ยท Prompt learning ยท Training-free / inference-only methods

Publications

Overview figure
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023
Ruijiang Dong*, Feng Liu*, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction arXiv 2025
Zesheng Ye*, Chengyi Cai*, Ruijiang Dong*, Jianzhong Qi, Lei Feng, Pin-Yu Chen, Feng Liu

Academic Services

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