| 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 | 30 | 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 | 24 | 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 | 19 | 2022 |
| 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 | 9 | 2023 |
| 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 | 6 | 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 | 5 | 2019 |
| Multimodal large language model driven scenario testing for autonomous vehicles Q Lu, X Wang, Y Jiang, G Zhao, M Ma, S Feng arXiv preprint arXiv:2409.06450, 2024 | 3 | 2024 |
| Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems R Bai, J Yang, W Gong, Y Zhang, Q Lu, S Feng 2024 IEEE 20th International Conference on Automation Science and …, 2024 | 2 | 2024 |
| Intelligent Testing Environment Generation for Autonomous Vehicles with Implicit Distributions of Traffic Behaviors K Ren, J Yang, Q Lu, Y Zhang, J Hu, S Feng Available at SSRN 4973349, 2024 | 1 | 2024 |
| 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 |
| Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model Q Lu, M Ma, X Dai, X Wang, S Feng arXiv preprint arXiv:2412.00243, 2024 | | 2024 |
| Diverse Imitation Learning via Self-Organizing Generative Models A Vahabpour, T Wang, Q Lu, O Pooladzandi, V Roychowdhury IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| KnowMoformer: Knowledge-Conditioned Motion Transformer for Controllable Traffic Scenario Simulation HHSLJ Yang, L He, YZQLS Feng | | |
| RACL: Risk Aware Closed-Loop Agent Simulation with High Fidelity QLRBS Li, HHS Feng | | |
| Adaptive Safety Performance Testing for Autonomous Vehicles with Adaptive Importance Sampling J Yang, Z Wang, D Wang, Y Zhang, Q Lu, S Feng Available at SSRN 4993532, 0 | | |
