Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs. - Xuanwen Huang; Kaiqiao Han; Dezheng Bao; Quanjin Tao; Zhisheng Zhang; Yang Yang 009; Qi Zhu 008 (CoRR, 2023)

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model. - Ziwei Chai; Tianjie Zhang; Liang Wu; Kaiqiao Han; Xiaohai Hu; Xuanwen Huang; Yang Yang 009 (CoRR, 2023)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Exploring Correlations of Self-Supervised Tasks for Graphs. - Taoran Fang; Wei Chow; Yifei Sun 002; Kaiqiao Han; Lvbin Ma; Yang Yang 009 (ICML, 2024)

Can GNN be Good Adapter for LLMs? - Xuanwen Huang; Kaiqiao Han; Yang Yang 009; Dezheng Bao; Quanjin Tao; Ziwei Chai; Qi Zhu 008 (WWW, 2024)

Exploring Correlations of Self-Supervised Tasks for Graphs. - Taoran Fang; Wei Zhou; Yifei Sun 002; Kaiqiao Han; Lvbin Ma; Yang Yang 009 (CoRR, 2024)

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction. - Kaiqiao Han; Tianqing Fang; Zhaowei Wang 003; Yangqiu Song; Mark Steedman (NAACL (Short Papers), 2025)

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models. - Yihang Chen; Haikang Deng; Kaiqiao Han; Qingyue Zhao (CoRR, 2025)

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. - Haixin Wang 003; Ruoyan Li; Fred Xu; Fang Sun; Kaiqiao Han; Zijie Huang 002; Guancheng Wan; Ching Chang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2025)