Jifeng Song

Jifeng Song

Ph.D. Student

JIS219[at]pitt.edu

Research Interests:

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

Publications

EMNLP 2026
FigEx2
FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures
Jifeng Song, Arun Das, Pan Wang, Hui Ji, Kun Zhao, Yufei Huang
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
Paper Code
MLSys 2026
Attribution-based Sparse Activation
Attribution-based Sparse Activation in Large Language Models
Jifeng Song†, Xiangyu Yin†, Boyuan Yang, Kai Huang, Weichen Liu, Wei Gao (†Equal contribution)
Proceedings of Machine Learning and Systems (MLSys) 2026
Paper Code
bioRxiv
spatiAlytica
spatiAlytica: Viewer-Grounded Multimodal Agentic System for Interactive Spatial Omics Analysis
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
Paper
arXiv
Radiology Reporting
Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting
Kun Zhao, Siyuan Dai, Pan Wang, Jifeng Song, Hui Ji, Chenghua Lin, Liang Zhan, Haoteng Tang
arXiv preprint 2026
Paper
Res Sq
EXHYTE Framework
A Process-Centric Survey of AI for Scientific Discovery Through the 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
Research Square preprint 2025
Paper
EMNLP 2025
FigEx
FigEx: Aligned Extraction of Scientific Figures and Captions
Jifeng Song, Arun Das, Ge Cui, Yufei Huang
Findings of the Association for Computational Linguistics: EMNLP 2025
Paper Code Dataset
Wind Energy
MTTLA-DLW
MTTLA-DLW: Multi-task TCN-Bi-LSTM Transfer Learning Approach with Dynamic Loss Weights based on Feature Correlations of the Training Samples for Short-term Wind Power Prediction
Jifeng Song, Xiaosheng Peng, Jiajiong Song, Zimin Yang, Bo Wang, Jianfeng Che
Wind Energy, 2024
Paper
IEEE/IAS I&CPS Asia'22
Wind Power Prediction
A Novel Wind Power Prediction Approach for Extreme Wind Conditions Based on TCN-LSTM and Transfer Learning
Jifeng Song, Xiaosheng Peng, Zimin Yang, Peijie Wei, Bo Wang, Zheng Wang
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
Paper
IEEE/IAS I&CPS Asia'22
CEEMDAN
Short-term Wind Power Prediction Based on CEEMDAN and Parallel CNN-LSTM
Zimin Yang, Xiaosheng Peng, Peijie Wei, Jifeng Song
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
Paper