| Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach Y Zhang, Q Lu, T Monsoor, SA Hussain, JX Qiao, N Salamon, A Fallah, ... Brain communications 4 (1), fcab267, 2022 | 15 | 2022 |
| Action-conditioned on-demand motion generation Q Lu, Y Zhang, M Lu, V Roychowdhury Proceedings of the 30th ACM International Conference on Multimedia, 2249-2257, 2022 | 14 | 2022 |
| Kemp: Keyframe-based hierarchical end-to-end deep model for long-term trajectory prediction Q Lu, W Han, J Ling, M Wang, H Chen, B Varadarajan, P Covington 2022 International Conference on Robotics and Automation (ICRA), 646-652, 2022 | 11 | 2022 |
| Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy T Monsoor, Y Zhang, A Daida, S Oana, Q Lu, SA Hussain, A Fallah, ... Clinical Neurophysiology 154, 129-140, 2023 | 3 | 2023 |
| Decoding of human identity by computer vision and neuronal vision Y Zhang, ZM Aghajan, M Ison, Q Lu, H Tang, G Kalender, T Monsoor, ... Scientific reports 13 (1), 651, 2023 | 3 | 2023 |
| Fusing Visual and Textual Information to Determine Content Safety R Leonardo, A Hu, M Uzair, Q Lu, I Fu, K Nishiyama, SM Subrahmannian, ... 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 1 | 2019 |
| Quantifying the phenomenon of immersion in virtual environments M Gutman, Q Lu, J He, Z Shen, V Roychowdhury Proceedings of the Digital Humanities Congress 2018 26, 2018 | 1 | 2018 |
| Diverse Imitation Learning via Self-Organizing Generative Models A Vahabpour, T Wang, Q Lu, O Pooladzandi, V Roychowdhury arXiv preprint arXiv:2205.03484, 2022 | | 2022 |
