| 2026 | ACL | LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines. | Jiechao Gao, Rohan Kumar Yadav, Yuangang Li, Yuandong Pan, Jie Wang, Ying Liu, Michael D. Lepech |
| 2025 | COMPSAC | Ontology-based Adaptive Knowledge System (OAKS): Adaptive and Consistent Knowledge Acquisition through LLMs for Diverse User Backgrounds. | Muran Yu, Jie Wang, Yirong Chen, Michael D. Lepech, Ying Liu, Kincho H. Law |
| 2022 | IJCNN | @ME: A Fine-grained Route Recommendation System to Grab Impatient Passengers. | Hanwen Hu, Yirong Chen, Jingchao Ouyang, Shiyou Qian, Jian Cao, Han Han, Jie Wang, Michael D. Lepech |
| 2021 | GECCO | Augmenting high-dimensional nonlinear optimization with conditional GANs. | Pouya Rezazadeh Kalehbasti, Michael D. Lepech, Samarpreet Singh Pandher |
| 2020 | ETFA | Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks. | Shuhui Qu, Yirong Chen, Jrgen Jasperneite, Michael D. Lepech, Jie Wang |
| 2019 | WSC | Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath. | Melissa Zirps, Michael D. Lepech, Sam L. Savage |