| Model-free deep reinforcement learning for urban autonomous driving J Chen, B Yuan, M Tomizuka 2019 IEEE intelligent transportation systems conference (ITSC), 2765-2771, 2019 | 308 | 2019 |
| Pixel contrastive-consistent semi-supervised semantic segmentation Y Zhong, B Yuan, H Wu, Z Yuan, J Peng, YX Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 155 | 2021 |
| Machine‐learning‐based monitoring of laser powder bed fusion B Yuan, GM Guss, AC Wilson, SP Hau‐Riege, PJ DePond, S McMains, ... Advanced Materials Technologies 3 (12), 1800136, 2018 | 145 | 2018 |
| Deep imitation learning for autonomous driving in generic urban scenarios with enhanced safety J Chen, B Yuan, M Tomizuka 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 136 | 2019 |
| Semi-supervised convolutional neural networks for in-situ video monitoring of selective laser melting B Yuan, B Giera, G Guss, I Matthews, S Mcmains 2019 IEEE winter conference on applications of computer vision (WACV), 744-753, 2019 | 57 | 2019 |
| Iterative cross learning on noisy labels B Yuan, J Chen, W Zhang, HS Tai, S McMains 2018 IEEE Winter Conference on applications of computer vision (WACV), 757-765, 2018 | 46 | 2018 |
| Power histogram for circle detection on images B Yuan, M Liu Pattern Recognition 48 (10), 3268-3280, 2015 | 41 | 2015 |
| Semantically robust unpaired image translation for data with unmatched semantics statistics Z Jia, B Yuan, K Wang, H Wu, D Clifford, Z Yuan, H Su Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 22 | 2021 |
| Semi-supervised learning for selective laser melting monitoring via in-situ videos B Yuan, B Giera, G Guss, S McMains Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018 | 7 | 2018 |
| Deep imitation learning for autonomous driving in generic urban scenarios with enhanced safety. In 2019 IEEE J Chen, B Yuan, M Tomizuka RSJ International Conference on Intelligent Robots and Systems (IROS), 2884-2890, 0 | 6 | |
| Allowing safe contact in robotic goal-reaching: Planning and tracking in operational and null spaces X Zhu, W Lian, B Yuan, CD Freeman, M Tomizuka 2023 IEEE International Conference on Robotics and Automation (ICRA), 8120-8126, 2023 | 5 | 2023 |
| Lipschitz regularized CycleGAN for improving semantic robustness in unpaired image-to-image translation Z Jia, B Yuan, K Wang, H Wu, D Clifford, Z Yuan, H Su arXiv preprint arXiv:2012.04932, 2020 | 5 | 2020 |
| Lossmix: Simplify and generalize mixup for object detection and beyond T Vu, B Sun, B Yuan, A Ngai, Y Li, JM Frahm arXiv preprint arXiv:2303.10343, 2023 | 2 | 2023 |
| Realistic plant growth modeling K Wang, B Yuan, Y Zhiqiang, H Wu, DR Silva, LI Zihao US Patent App. 17/307,849, 2022 | 2 | 2022 |
| Monitoring via Machine‐Learning: Machine‐Learning‐Based Monitoring of Laser Powder Bed Fusion (Adv. Mater. Technol. 12/2018) B Yuan, GM Guss, AC Wilson, SP Hau‐Riege, PJ DePond, S McMains, ... Advanced Materials Technologies 3 (12), 1870051, 2018 | 2 | 2018 |
| Ellipse Detection on Images Using Conic Power of Two Points. M Liu, B Yuan, J Bai BMVC, 215, 2018 | 1 | 2018 |
| Messaging based on agricultural knowledge graph Y Zhiqiang, H Wu, Y Qian, F Ebong, E Grant, N Kanu, B Yuan, C Wen, ... US Patent App. 17/958,818, 2024 | | 2024 |
| Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond T Vu, B Sun, B Yuan, A Ngai, Y Li, JM Frahm Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5280-5288, 2024 | | 2024 |
| Hierarchal phenotyping using graphs Y Zhiqiang, H Wu, Y Qian, F Ebong, E Grant, N Kanu, B Yuan, C Wen, ... US Patent App. 17/872,286, 2024 | | 2024 |
| Normalizing counts of plant-parts-of-interest Y Zhiqiang, B Yuan, M Zheng US Patent 11,830,191, 2023 | | 2023 |
