| Paired open-ended trailblazer (poet): Endlessly generating increasingly complex and diverse learning environments and their solutions R Wang, J Lehman, J Clune, KO Stanley arXiv preprint arXiv:1901.01753, 2019 | 243 | 2019 |
| Next-vit: Next generation vision transformer for efficient deployment in realistic industrial scenarios J Li, X Xia, W Li, H Li, X Wang, X Xiao, R Wang, M Zheng, X Pan arXiv preprint arXiv:2207.05501, 2022 | 146 | 2022 |
| Enhanced poet: Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions R Wang, J Lehman, A Rawal, J Zhi, Y Li, J Clune, K Stanley International conference on machine learning, 9940-9951, 2020 | 111 | 2020 |
| Poet: open-ended coevolution of environments and their optimized solutions R Wang, J Lehman, J Clune, KO Stanley Proceedings of the Genetic and Evolutionary Computation Conference, 142-151, 2019 | 93 | 2019 |
| Freeseg: Unified, universal and open-vocabulary image segmentation J Qin, J Wu, P Yan, M Li, R Yuxi, X Xiao, Y Wang, R Wang, S Wen, X Pan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 62 | 2023 |
| An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ... arXiv preprint arXiv:1812.07069, 2018 | 61 | 2018 |
| A symmetric electromagnetic-circuit simulator based on the extended time-domain finite element method R Wang, JM Jin IEEE transactions on microwave theory and techniques 56 (12), 2875-2884, 2008 | 60 | 2008 |
| Incorporation of multiport lumped networks into the hybrid time-domain finite-element analysis R Wang, JM Jin IEEE transactions on microwave theory and techniques 57 (8), 2030-2037, 2009 | 37 | 2009 |
| TRT-ViT: TensorRT-oriented vision transformer X Xia, J Li, J Wu, X Wang, X Xiao, M Zheng, R Wang arXiv preprint arXiv:2205.09579, 2022 | 28 | 2022 |
| Application of tree-cotree splitting to the time-domain finite-element analysis of electromagnetic problems R Wang, DJ Riley, JM Jin IEEE transactions on antennas and propagation 58 (5), 1590-1600, 2010 | 28 | 2010 |
| Estimating q (s, s’) with deep deterministic dynamics gradients A Edwards, H Sahni, R Liu, J Hung, A Jain, R Wang, A Ecoffet, T Miconi, ... International Conference on Machine Learning, 2825-2835, 2020 | 21 | 2020 |
| A flexible time-stepping scheme for hybrid field-circuit simulation based on the extended time-domain finite element method R Wang, JM Jin Advanced Packaging, IEEE Transactions on 33 (4), 769-776, 2010 | 21 | 2010 |
| Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration L Li, H Li, X Zheng, J Wu, X Xiao, R Wang, M Zheng, X Pan, F Chao, R Ji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Fiber: A platform for efficient development and distributed training for reinforcement learning and population-based methods J Zhi, R Wang, J Clune, KO Stanley arXiv preprint arXiv:2003.11164, 2020 | 13 | 2020 |
| Research on the possibility of nano-tube antenna Z Qi, W Rui Antennas and Propagation Society International Symposium, 2004. IEEE 2, 1927 …, 2004 | 13 | 2004 |
| Aligndet: Aligning pre-training and fine-tuning in object detection M Li, J Wu, X Wang, C Chen, J Qin, X Xiao, R Wang, M Zheng, X Pan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| Diffusiongpt: LLM-driven text-to-image generation system J Qin, J Wu, W Chen, Y Ren, H Li, H Wu, X Xiao, R Wang, S Wen arXiv preprint arXiv:2401.10061, 2024 | 10 | 2024 |
| Vine: an open source interactive data visualization tool for neuroevolution R Wang, J Clune, KO Stanley Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 10 | 2018 |
| Solving oscillation problem in post-training quantization through a theoretical perspective Y Ma, H Li, X Zheng, X Xiao, R Wang, S Wen, X Pan, F Chao, R Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Affinequant: Affine transformation quantization for large language models Y Ma, H Li, X Zheng, F Ling, X Xiao, R Wang, S Wen, F Chao, R Ji arXiv preprint arXiv:2403.12544, 2024 | 7 | 2024 |
Jeff CluneCS Assoc. Professor, U. British Columbia; CIFAR AI Chair, Vector; Senior Research Advisor, DeepMindAdresă de e-mail confirmată pe ubc.ca
