| 2024 | ICLR | On the hardness of learning under symmetries. | Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber |
| 2024 | ICLR | A Poincar Inequality and Consistency Results for Signal Sampling on Large Graphs. | Thien Le, Luana Ruiz, Stefanie Jegelka |
| 2022 | ICLR | Training invariances and the low-rank phenomenon: beyond linear networks. | Thien Le, Stefanie Jegelka |
| 2020 | WABI | Advancing Divide-And-Conquer Phylogeny Estimation Using Robinson-Foulds Supertrees. | Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy, Tandy J. Warnow |
| 2016 | ICMLA | A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. | Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber |
| 2016 | SGAI | Towards Expressive Modular Rule Induction for Numerical Attributes. | Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer |
| 2016 | SGAI | A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network. | Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2014 | SGAI | Computationally Efficient Rule-Based Classification for Continuous Streaming Data. | Thien Le, Frederic T. Stahl, Joo Brtolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta |