| Contrastive multi-view representation learning on graphs K Hassani, AH Khasahmadi International conference on machine learning, 4116-4126, 2020 | 1144 | 2020 |
| Memory-Based Graph Networks AH Khasahmadi, K Hassani, P Moradi, L Lee, Q Morris international conference on learning representations, 2020 | 87* | 2020 |
| Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals AK Ahmadi, P Moradi, M Malihi, S Karimi, MB Shamsollahi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 28 | 2015 |
| Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language A Sanghi, R Fu, V Liu, KDD Willis, H Shayani, AH Khasahmadi, S Sridhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Robust representation learning via perceptual similarity metrics SA Taghanaki, K Choi, AH Khasahmadi, A Goyal International Conference on Machine Learning, 10043-10053, 2021 | 23 | 2021 |
| TEXTCRAFT: ZERO-SHOT GENERATION OF HIGH FIDELITY AND DIVERSE SHAPES FROM TEXT A Sanghi, R Fu, V Liu, K Willis, H Shayani, AH Khasahmadi, S Sridhar, ... | 13 | 2022 |
| Learning graph augmentations to learn graph representations K Hassani, AH Khasahmadi arXiv preprint arXiv:2201.09830, 2022 | 13 | 2022 |
| Pointmask: Towards interpretable and bias-resilient point cloud processing SA Taghanaki, K Hassani, PK Jayaraman, AH Khasahmadi, T Custis arXiv preprint arXiv:2007.04525, 2020 | 9 | 2020 |
| Retracted: Discovering Informative Regions in Iris Images to Predict Diabetes P Moradi, N Nazer, AK Ahmadi, H Mohammadzade, HK Jafari 2018 25th National and 3rd International Iranian Conference on Biomedical …, 2018 | 7 | 2018 |
| UVStyle-Net: Unsupervised few-shot learning of 3D style similarity measure for B-reps P Meltzer, H Shayani, A Khasahmadi, PK Jayaraman, A Sanghi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| SimCURL: Simple Contrastive User Representation Learning from Command Sequences H Chu, AH Khasahmadi, KDD Willis, F Anderson, Y Mao, L Tran, ... 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 2 | 2022 |
| Techniques for generating visualizations of geometric style gradients P Meltzer, AHK AHMADI, PK Jayaraman, JG Lambourne, A Sanghi, ... US Patent App. 17/523,749, 2022 | 1 | 2022 |
| Group-disentangled representation learning with weakly-supervised regularization L Tran, AH Khasahmadi, A Sanghi, S Asgari arXiv preprint arXiv:2110.12185, 2021 | 1 | 2021 |
| Learned Visual Features to Textual Explanations S Asgari Taghanaki, A Khani, A Khasahmadi, A Sanghi, KDD Willis, ... arXiv e-prints, arXiv: 2309.00733, 2023 | | 2023 |
| Learned Visual Features to Textual Explanations SA Taghanaki, A Khani, A Khasahmadi, A Sanghi, KDD Willis, ... arXiv preprint arXiv:2309.00733, 2023 | | 2023 |
| Techniques for comparing geometric styles of 3d cad objects P Meltzer, AHK AHMADI, PK Jayaraman, JG Lambourne, A Sanghi, ... US Patent App. 17/523,746, 2022 | | 2022 |
| Learning Task-Relevant Features via Contrastive Input Morphing S Asgari, K Choi, AH Khasahmadi, A Goyal | | 2020 |
| Techniques for generating subjective style comparison metrics for b-reps of 3d cad objects P Meltzer, KAA Hosein, P Kumar JAYARAMAN, JG Lambourne, ... US Patent US20220156415A1, 2020 | | 2020 |
| Learned Visual Features to Textual Explanations S Asgari, A Khani, AH Khasahmadi, AS Pasand, A Sanghi, KDD Willis, ... | | |
| CAD-LLM: Large Language Model for CAD Generation S Wu, A Khasahmadi, M Katz, PK Jayaraman, Y Pu, K Willis, B Liu | | |
Parsa MoradiUniversity of Minnesota, Twin CitiesVerified email at umn.edu
