Kaiqiao Han

According to our database, Kaiqiao Han authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents.

Kaiqiao Han, LuAn Tang, Renliang Sun, Peng Yuan, Wei Cheng, Haoyu Wang, Wei Wang, Yizhou Sun, Haifeng Chen

CoRR, May, 2026

PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation.

Xiaoda Wang, Minxiao Wang, Kaiqiao Han, Defu Cao, Ching Chang, Yidan Shi, Runze Yan, Xiao Luo, Yang Liu, Xiao Hu, Yizhou Sun, Wei Wang, Carl Yang

CoRR, May, 2026

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

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

IEEE Trans. Big Data, April, 2026

ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning.

Xiaoxuan Wang, Han Zhang, Haixin Wang, Yidan Shi, Ruoyan Li, Kaiqiao Han, Chenyi Tong, Haoran Deng, Renliang Sun, Alexander Taylor, Yanqiao Zhu, Jason Cong, Yizhou Sun, Wei Wang

CoRR, February, 2026

2025

Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation.

Xiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang

CoRR, November, 2025

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.

Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun

CoRR, May, 2025

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models.

Yihang Chen, Haikang Deng, Kaiqiao Han, Qingyue Zhao

CoRR, March, 2025

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting.

Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Exploring Correlations of Self-Supervised Tasks for Graphs.

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

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

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

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