Kaiqiao Han

According to our database, Kaiqiao Han authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction.

Kaiqiao Han, Tianqing Fang, Zhaowei Wang, Yangqiu Song, Mark Steedman

CoRR, 2024

Exploring Correlations of Self-Supervised Tasks for Graphs.

Taoran Fang, Wei Zhou, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang

CoRR, 2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.

Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

CoRR, 2024

Can GNN be Good Adapter for LLMs?

Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu

Proceedings of the ACM on Web Conference 2024, 2024

Exploring Correlations of Self-Supervised Tasks for Graphs.

Taoran Fang, Wei Chow, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, Yang Yang

CoRR, 2023

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, Qi Zhu

CoRR, 2023