Hi, my name is Qixin Hu (胡琪鑫). If you can't read Pinyin, you can pronounce it as "Chee-sheen Who." I am a second-year Ph.D. student at USC, working with Prof. C.-C. Jay Kuo. My research lies broadly in representation learning, generative AI, and foundation models. Specifically, I want to design simple and efficient learning algorithms and apply them to real-world applications.
I am very fortunate to have had opportunities to collaborate with Prof. Qi Dou, Prof. Alan Yuille, and Prof. Xinggang Wang. I am a recipient of the Viterbi Fellowship.
Developed the inference engine for infinite video generation. Upgraded the existing architecture by designing an online relative RoPE to support infinite-length outputs.
Co-first Author & Primary Maintainer. Architected and implemented a novel evolving memory pipeline, enabling training-free stable infinite video generation.
Lead Author & Primary Maintainer. Pioneered successful demonstration of competitive liver tumor segmentation relying exclusively on synthetic training data.
Co-Author & Core Contributor. Engineered and integrated the vision-language fusion module, advancing the model's multi-organ trauma detection capabilities.