| 2025 | SC | Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling. | Prachi Jadhav, Hongwei Jin, Ewa Deelman, Prasanna Balaprakash |
| 2025 | SC | GridMind: LLMs-Powered Agents for Power System Analysis and Operations. | Hongwei Jin, Kibaek Kim, Jonghwan Kwon |
| 2025 | SC | Bridging Speed and Optimality in Job Scheduling: A Hybrid Ant Colony Optimization Approach for Distributed Systems. | Hongwei Jin, Pawel Zuk, Krishnan Raghavan, Prachi Jadhav, Aiden Hamade, Ewa Deelman, Prasanna Balaprakash |
| 2024 | SC | Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. | Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman |
| 2022 | IJCAI | Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. | Hongwei Jin, Xun Chen |
| 2022 | UAI | Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. | Hongwei Jin, Zishun Yu, Xinhua Zhang |
| 2011 | IJCAI | Incorporating Reviewer and Product Information for Review Rating Prediction. | Fangtao Li, Nathan Nan Liu, Hongwei Jin, Kai Zhao, Qiang Yang, Xiaoyan Zhu |