Graph Neural Networks in IoT: A Survey. - Guimin Dong; Mingyue Tang; Zhiyuan Wang 003; Jiechao Gao; Sikun Guo; Lihua Cai; Robert J. Gutierrez; Bradford Campbell; Laura E. Barnes; Mehdi Boukhechba (ACM Trans. Sens. Networks, 2023)

Embracing Foundation Models for Advancing Scientific Discovery. - Sikun Guo; Amir Hassan Shariatmadari; Guangzhi Xiong; Aidong Zhang (IEEE Big Data, 2024)

Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models. - Guangzhi Xiong; Eric Xie; Amir Hassan Shariatmadari; Sikun Guo; Stefan Bekiranov; Aidong Zhang (CoRR, 2024)

IdeaBench: Benchmarking Large Language Models for Research Idea Generation. - Sikun Guo; Amir Hassan Shariatmadari; Guangzhi Xiong; Albert Huang; Eric Xie; Stefan Bekiranov; Aidong Zhang (CoRR, 2024)

Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery. - Sikun Guo; Guangzhi Xiong; Aidong Zhang (SDM, 2025)

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. - Guangzhi Xiong; Eric Xie; Corey Williams; Myles Kim; Amir Hassan Shariatmadari; Sikun Guo; Stefan Bekiranov; Aidong Zhang (CoRR, 2025)