Gao Yunfan

2nd year Ph.D. student

Shanghai Research Institute for Intelligent Autnomous Systems, Tongji University

Emial: Gaoyunfan1602@gmail.com

Gao Yunfan is a 2nd year Ph.D. student in Shanghai Research Institute for Intelligent Autnomous Systems at Tongji University, with a Master's from Fudan University.His research focuses on Retrieval-Augmented Generation, Large Language Model and Geospatial Data Mining. In the future, Gao will continue to explore the integration of RAG and KG knowledge technologies, as well as their practical applications in real-world scenarios.

Research Interests

Retrieval-Augmented Generation
Large Language Models
Knowledge Graph
Geospatial Data Mining

Professional Experience

MeiTuan | Algorithm Strategy Intern | Sep 2023 - Apr 2024

Engaged in research and applications related to large language models

WAYZ AI | Spatio-temporal AI Algorithm Intern | Feb 2022 - Nov 2022

Participated in intelligent store location selection and advertising rental tasks

Cindasc Securities Research Center | Consumer Industry Research Assistant | May 2018 - May 2019

industry research, including data collection and analysis, financial modeling, and report writing

Certifications

ACCA Affiliate
CET-6: 593

Publications

Yunfan Gao, Yun Xiong, Meng Wang, Haofen Wang. Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks. CoRR abs/2407.21059 (2024)
Yunfan Gao, Dongqing Yu, Siqi Wang, Haofen Wang. Large Language Model Powered Site Selection Recommender System[J]. Journal of Computer Research and Development, 2024, 61(7): 1681-1696. DOI: 10.7544/issn1000-1239.202330629
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang.Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System. CoRR abs/2303.14524 (2023)
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Qianyu Guo, Meng Wang, Haofen Wang: Retrieval-Augmented Generation for Large Language Models: A Survey. CoRR abs/2312.10997 (2023)
Yunfan Gao, Dong Han, Haofen Wang, Maohong Zhang, Fangjie Hou, Dongqing Yu, Yun Xiong. GeoGTI: Towards a General, Transferable and Interpretable Site Recommendation. WISA 2022: 559-571
Yunfan Gao, Yun Xiong,Siqi Wang, Haofen Wang. GeoBERT: pre-training geospatial representation learning on point-of-Interest[J]. Applied Sciences, 2022, 12(24): 12942.