Xuan Qi 齐轩
I am a Ph.D. student at the Italian Institute of Technology (IIT) and the University of Genoa, working with the AI for Good (AIGO) research group under the supervision of Prof. Vittorio Murino. My research interests include generative modeling, representation geometry, and transfer learning, centered on the understanding, transfer, and control of learned representations.
News
“Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation” has been accepted at NeurIPS 2026.
“VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation” was accepted in Transactions on Machine Learning Research (TMLR).
“Expressivity Saturation: Reduced Affine Region Usage Under Increasing Task Complexity” was accepted in Transactions on Machine Learning Research (TMLR).
Selected Publications
PublicationsResearch
Research page →Generative Modeling
Research on controllable and conditional visual generation leveraging Generative Foundation Models (GenFMs).
Representation Geometry
Research on understanding the geometric structure of learned representations and their connections to model expressivity and behavior.
Transfer Learning
Research on parameter-efficient fine-tuning (PEFT) for transfer and generalization across domains and distributions.