Jifeng Song

Jifeng Song

Ph.D. Student ยท ECE

University of Pittsburgh

UPMC Hillman Cancer Center

Research interests

  • AI for Biomedicine
  • Computational Biology
  • Multimodal Learning
  • Vision-Language Models
  • Efficient Generative AI

AI for biomedicine & scientific discovery

About Me

Hi, I am Jifeng Song, a fourth-year Ph.D. student in Electrical and Computer Engineering at the University of Pittsburgh and also a research assistant in the Cancer Virology Program at UPMC Hillman Cancer Center, co-advised by Prof. Yufei Huang and Prof. Zhi-Hong Mao. I received my B.E. in Electrical Engineering and Automation from Huazhong University of Science and Technology.

My current research focuses on post-training and efficient inference for multimodal large language models (MLLMs), with applications in scientific discovery and cancer research. I am particularly interested in scientific document understanding and multimodal knowledge discovery.

I am actively seeking internship opportunities starting in 2027. You can find my CV here.

News

Selected Publications

Full list

† Equal contribution.

EMNLP 2026
FigEx2
Jifeng Song, Arun Das, Pan Wang, Hui Ji, Kun Zhao, Yufei Huang
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
MLSys 2026
Attribution-based Sparse Activation
Jifeng Song†, Xiangyu Yin†, Boyuan Yang, Kai Huang, Weichen Liu, Wei Gao
Proceedings of Machine Learning and Systems (MLSys) 2026
EMNLP 2025
FigEx
Jifeng Song, Arun Das, Ge Cui, Yufei Huang
Findings of the Association for Computational Linguistics: EMNLP 2025
Patterns
EXHYTE Framework
Md Musaddaqul Hasib, Sumin Jo, Harsh Sinha, Jifeng Song, Arun Das, Zhentao Liu, Hugh Galloway, Huey Huang, Kexun Zhang, Shou-Jiang Gao, Yu-Chiao Chiu, Lei Li, Yufei Huang
Patterns, 2026
bioRxiv
spatiAlytica
Arun Das, Kexun Zhang, Jifeng Song, Meiru Han, Angela Chen, Wen Meng, Hugh Galloway, Po-Yuan Chen, Sumin Jo, Zhentao Liu, Md Musaddaqul Hasib, Adam Officer, Harsh Sinha, Yu-Chiao Chiu, Shou-Jiang Gao, Lei Li, Yufei Huang
bioRxiv preprint 2026
arXiv
Radiology Reporting
Kun Zhao, Siyuan Dai, Pan Wang, Jifeng Song, Hui Ji, Chenghua Lin, Liang Zhan, Haoteng Tang
arXiv preprint 2026