| 2024 | AAAI | Learning Ultrametric Trees for Optimal Transport Regression. | Samantha Chen, Puoya Tabaghi, Yusu Wang |
| 2024 | AISTATS | DE-HNN: An effective neural model for Circuit Netlist representation. | Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michal Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang |
| 2024 | ALT | Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. | Puoya Tabaghi, Yusu Wang |
| 2024 | RECOMB | Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation. | Shayesteh Arasti, Puoya Tabaghi, Yasamin Tabatabaee, Siavash Mirarab |
| 2022 | KDD | HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. | Eli Chien, Puoya Tabaghi, Olgica Milenkovic |
| 2021 | ICDM | Highly Scalable and Provably Accurate Classification in Poincar Balls. | Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic |
| 2020 | KDD | Hyperbolic Distance Matrices. | Puoya Tabaghi, Ivan Dokmanic |
| 2019 | ICASSP | On the Move: Localization with Kinetic Euclidean Distance Matrices. | Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli |
| 2015 | IJCNN | Class-preserving manifold learning for detection and classification. | Puoya Tabaghi, Mahmood R. Azimi-Sadjadi |