GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. - Yi Fang 011; Dongzhe Fan; Daochen Zha; Qiaoyu Tan (KDD, 2024)

GraphFM: A Comprehensive Benchmark for Graph Foundation Model. - Yuhao Xu; Xinqi Liu; Keyu Duan; Yi Fang 011; Yu-Neng Chuang; Daochen Zha; Qiaoyu Tan (CoRR, 2024)

UniGLM: Training One Unified Language Model for Text-Attributed Graphs. - Yi Fang 011; Dongzhe Fan; Sirui Ding; Ninghao Liu 001; Qiaoyu Tan (CoRR, 2024)

Large Language Models for Disease Diagnosis: A Scoping Review. - Shuang Zhou 012; Zidu Xu; Mian Zhang; Chunpu Xu; Yawen Guo; Zaifu Zhan; Sirui Ding; Jiashuo Wang; Kaishuai Xu; Yi Fang 011; Liqiao Xia; Jeremy Yeung; et al. (CoRR, 2024)

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. - Yi Fang 011; Bowen Jin; Jiacheng Shen; Sirui Ding; Qiaoyu Tan; Jiawei Han 001 (CVPR, 2025)

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design. - Yuanfu Sun; Zhengnan Ma; Yi Fang 011; Jing Ma 002; Qiaoyu Tan (NAACL (Findings), 2025)

UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. - Yi Fang 011; Dongzhe Fan; Sirui Ding; Ninghao Liu 001; Qiaoyu Tan (WSDM, 2025)

MLaGA: Multimodal Large Language and Graph Assistant. - Dongzhe Fan; Yi Fang 011; Jiajin Liu; Djellel Difallah; Qiaoyu Tan (CoRR, 2025)

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs. - Meng Lu; Ran Xu 002; Yi Fang 011; Wenxuan Zhang 003; Yue Yu 001; Gaurav Srivastava 012; Yuchen Zhuang; Mohamed Elhoseiny 001; Charles Fleming; Carl Yang 001; Zhengzhong Tu; Yang Xie; et al. (CoRR, 2025)

BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models. - Yi Fang 011; Haoran Xu; Jiaxin Han; Sirui Ding; Yizhi Wang; Yue Wang 021; Xuan Wang 008 (CoRR, 2025)