Sikun Guo

According to our database, Sikun Guo authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Automated biomedical hypothesis generation with time-aware hypergraph contrastive learning.

Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha

Knowl. Inf. Syst., December, 2026

2025

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

CoRR, May, 2025

ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation.

Amir Hassan Shariatmadari, Alireza Jafari, Sikun Guo, Sneha Srinivasan, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha

Bioinform., 2025

Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery.

Sikun Guo, Guangzhi Xiong, Aidong Zhang

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

IdeaBench: Benchmarking Large Language Models for Research Idea Generation.

Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Myles Kim, Corey M. Williams, Stefan Bekiranov, Aidong Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation.

Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha

Proceedings of the IEEE International Conference on Data Mining, 2025

InfAL: Inference Time Adversarial Learning for Improving Research Ideation.

Sikun Guo, Amir Hassan Shariatmadari, Peng Wang, Albert Huang, Aidong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

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

Embracing Foundation Models for Advancing Scientific Discovery.

Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Graph Neural Networks in IoT: A Survey.

Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba

ACM Trans. Sens. Networks, May, 2023