Qixin Hu | 胡琪鑫 PhD Student @USC Univeristy of Southern California Los Angeles, USA Email:qixinhu [at] usc [dot] edu [Publications] [Internship Experience] [Research Experience]

🧑‍🎓 About Me

Hi, my name is Qixin Hu (胡琪鑫). If you can't read Pinyin, you can pronounce it as "Chee-sheen Who." Hopefully, I will become Dr. Who someday; that would make it much easier to pronounce.

For now, I am a second-year Ph.D. student at USC, working with Prof. C.-C. Jay Kuo. I am a recipient of the Viterbi Fellowship. My research here lie 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.

In the past, I worked on computer vision, deep learning and medical image analysis. I am very fortunate to had opportunities to collaborate with Prof. Qi Dou , Dr. Zongwei Zhou, Prof. Alan Yuille, and Prof. Xinggang Wang. They are really nice people and I enjoy the time working with them.

To the future, I see myself in digging truth and love. Lucky enough, I may find the algorithm to give the birth to a machine.

🔥 Recent News

• [08/2025] I will serve as the Program Committee of AAAI 2026.

• [08/2025] One paper on unsupervised representation learning is submitted to AAAI 2026.

• [05/2025] I will serve as the Reviewer of NeurIPS 2025.

• [03/2025] I will serve as the Reviewer of APSIPA Transactions on Signal and Information Processing.

• [12/2024] One paper is accepted by Generative Machine Learning Models in Medical Image Computing.

• [08/2024] Awarded Viterbi Fellowship.

• [06/2024] One paper on multi-organ trauma detection via vision-language model is accepted by MICCAI 2024.

• [07/2023] I will serve as the Reviewer of ICML Workshop 2023.

• [06/2023] One paper on 3D animal datasets has been accepted by ICCV 2023.

• [04/2023] The code for synthetic tumor is released.

• [03/2023] One paper on label-free liver tumor segmentationhas been accepted by CVPR 2023.

📝 Publications

	Analyzing Tumors by Synthesis Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan Yuille, Zongwei Zhou [Publication]
	Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection Jianxun Yu, Qixin Hu, Meirui Jiang, et al. [Publication] [Code]
	Synthetic Data as Validation Qixin Hu, Alan Yuille, Zongwei Zhou [Publication]
	Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, et al. [Project] [Publication] [Code]
	Label-free Liver Tumor Segmentation Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan Yuille, Zongwei Zhou Github [Publication] [Code] [Slides] [Poster] [Zongwei's Talk] [Alan's Talk]
	Synthetic Tumors Make AI Segment Tumors Better Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan Yuille, Zongwei Zhou [Publication] [Code] [Slides] [Poster]
	Object recognition for remarkably small field-of-view with speckles Qixin Hu, Siyan Xu, Xue-wen Chen, Xinggang Wang, Ken Xingze Wang [Publication]

💻 Company Experience

Fulgent Genetics, Los Angeles Position: Machine Learning Research Intern Project: Statistical representation for detecting whole slide images

💻 Univeristy Experience

Department of Computer Science and Engineering, The Chinese Univeristy of Hong Kong Position: Research Assistant Supervisor: Assis. Prof. Qi Dou Project: fundation model in medical image.
Department of Cognitive Science and Computer Science, Johns Hopkins Univeristy Position: Research Intern Supervisor: Prof. Alan L. Yuille (Bloomberg Distinguished Professor) &       Dr. Zongwei Zhou Project: Segment medical tumor using synthetic tumor
School of Physics, Huazhong Univeristy of Science and Technology Position: Team Leader Supervisor: Assoc. Prof. Ming Yang Project: National Student Innovation and Entrepreneurship Training Program

🏅 Honors and Awards

• 2024.08 USC Viterbi School of Engineering/Graduate School Fellowship.
• 2022.10 First Class Zhixing Outstanding Student Scholarship.
• 2021.10 Outstanding Graduate Student.
• 2020.06 Honored Undergraduates.

📙 Academic Service

• Program Committee of The Association for the Advancement of Artificial Intelligence (AAAI), 2025.
• Reviewer of APSIPA Transactions on Signal and Information Processing.
• Reviewer of NeurIPS, 2025.
• Reviewer of NeurIPS Workshop on GenAI for Health, 2024.
• Reviewer of ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023.

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Last update: May 19, 2025