When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks M Guo, Y Yang, R Xu, Z Liu, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 193 | 2020 |
Online hyper-parameter learning for auto-augmentation strategy C Lin, M Guo, C Li, X Yuan, W Wu, J Yan, D Lin, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 102 | 2019 |
Am-lfs: Automl for loss function search C Li, X Yuan, C Lin, M Guo, W Wu, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 80 | 2019 |
Irlas: Inverse reinforcement learning for architecture search M Guo, Z Zhong, W Wu, D Lin, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 46 | 2019 |
Texture memory-augmented deep patch-based image inpainting R Xu, M Guo, J Wang, X Li, B Zhou, CC Loy IEEE Transactions on Image Processing 30, 9112-9124, 2021 | 45 | 2021 |
Data-Efficient Graph Grammar Learning for Molecular Generation M Guo, V Thost, B Li, P Das, J Chen, W Matusik arXiv preprint arXiv:2203.08031, 2022 | 39 | 2022 |
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking M Guo, J Lu, J Zhou Proceedings of the European Conference on Computer Vision (ECCV), 768-783, 2018 | 35 | 2018 |
Learning reasoning-decision networks for robust face alignment H Liu, J Lu, M Guo, S Wu, J Zhou IEEE transactions on pattern analysis and machine intelligence 42 (3), 679-693, 2018 | 28 | 2018 |
Combining exemplar-based approach and learning-based approach for light field super-resolution using a hybrid imaging system H Zheng, M Guo, H Wang, Y Liu, L Fang Proceedings of the IEEE International Conference on Computer Vision, 2481-2486, 2017 | 27 | 2017 |
Towards Evaluating and Training Verifiably Robust Neural Networks Z Lyu, M Guo, T Wu, G Xu, K Zhang, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
Polygrammar: Grammar for Digital Polymer Representation and Generation M Guo, W Shou, L Makatura, T Erps, M Foshey, W Matusik Advanced Science 9 (23), 2101864, 2022 | 23 | 2022 |
Pareto gamuts L Makatura, M Guo, A Schulz, J Solomon, W Matusik Association for Computing Machinery (ACM), 2021 | 8* | 2021 |
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery P Ma, TH Wang, M Guo, Z Sun, JB Tenenbaum, D Rus, C Gan, W Matusik arXiv preprint arXiv:2405.09783, 2024 | 3 | 2024 |
Medial Skeletal Diagram: A Generalized Medial Axis Approach for Compact 3D Shape Representation M Guo, B Wang, W Matusik arXiv preprint arXiv:2310.09395, 2023 | 2 | 2023 |
Hierarchical grammar-induced geometry for data-efficient molecular property prediction M Guo, V Thost, SW Song, A Balachandran, P Das, J Chen, W Matusik International Conference on Machine Learning, 12055-12076, 2023 | 2 | 2023 |
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes M Guo, B Wang, K He, W Matusik arXiv preprint arXiv:2405.20283, 2024 | 1 | 2024 |
Representing Molecules as Random Walks Over Interpretable Grammars M Sun, M Guo, W Yuan, V Thost, CE Owens, AF Grosz, S Selvan, K Zhou, ... arXiv preprint arXiv:2403.08147, 2024 | 1 | 2024 |
Variational quasi-harmonic maps for computing diffeomorphisms Y Wang, M Guo, J Solomon ACM Transactions on Graphics (TOG) 42 (4), 1-26, 2023 | 1 | 2023 |
Syntax-Guided Procedural Synthesis of Molecules M Sun, A Lo, W Gao, M Guo, V Thost, J Chen, C Coley, W Matusik arXiv preprint arXiv:2409.05873, 2024 | | 2024 |
Physically Compatible 3D Object Modeling from a Single Image M Guo, B Wang, P Ma, T Zhang, CE Owens, C Gan, JB Tenenbaum, K He, ... arXiv preprint arXiv:2405.20510, 2024 | | 2024 |