Publications
Full Publications at Google Scholar
Preprints
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
Yi Fang, Haoran Xu, Jiaxin Han, Sirui Ding, Yizhi Wang, Yue Wang, Xuan Wang.
preprint PDFScaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang.
preprint PDF
2025
Large language models for disease diagnosis: A scoping review
Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B Melton, Mingquan Lin, Rui Zhang
npj Artificial Intelligence PDFGraphgpt-O: Synergistic Multimodal Comprehension and Generation on Graphs
Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han.
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR’25) PDFGraphicl: Unlocking graph learning potential in llms through structured prompt design
Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan
Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL’25) PDFUniGLM: Training One Unified Language Model for Text-Attributed Graphs
Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, and Qiaoyu Tan.
The 18th ACM International Conference on Web Search and Data Mining (WSDM’25) PDFMlaga: Multimodal large language and graph assistant
Dongzhe Fan, Yi Fang, Jiajin Liu, Djellel Difallah, Qiaoyu Tan
2024
GAugLLM: Improving Graph Contrastive Learning for Text-attributed Graphs with Large Language Models
Yi Fang, Dongzhe Fan, Daochen Zha, and Qiaoyu Tan.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’24) PDFGraphFM: A Comprehensive Benchmark for Graph Foundation Model
Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, and Qiaoyu Tan.