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Minghao Guo
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Journal Articles
- 2023
- [j7]Minghao Guo, Yan Gao:
Adaptive Approximate Implicitization of Planar Parametric Curves via Asymmetric Gradient Constraints. Symmetry 15(9): 1738 (2023) - [j6]Yu Wang
, Minghao Guo
, Justin Solomon
:
Variational quasi-harmonic maps for computing diffeomorphisms. ACM Trans. Graph. 42(4): 130:1-130:26 (2023) - 2021
- [j5]Rui Xu
, Minghao Guo, Jiaqi Wang
, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
:
Texture Memory-Augmented Deep Patch-Based Image Inpainting. IEEE Trans. Image Process. 30: 9112-9124 (2021) - [j4]Liane Makatura
, Minghao Guo, Adriana Schulz
, Justin Solomon, Wojciech Matusik:
Pareto gamuts: exploring optimal designs across varying contexts. ACM Trans. Graph. 40(4): 171:1-171:17 (2021) - 2020
- [j3]Hao Liu, Jiwen Lu
, Minghao Guo
, Suping Wu, Jie Zhou:
Learning Reasoning-Decision Networks for Robust Face Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 679-693 (2020) - 2019
- [j2]Yung-Hsiang Lu
, George K. Thiruvathukal, Ahmed S. Kaseb
, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo:
See the World Through Network Cameras. Computer 52(10): 30-40 (2019) - 2011
- [j1]Minghao Guo, Tieru Wu, Shugong Zhang:
Geometric Information and Rational Parametrization of Nonsingular Cubic Blending Surfaces. J. Appl. Math. 2011: 349315:1-349315:16 (2011)
Conference and Workshop Papers
- 2023
- [c14]Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev:
OpenRT: An Open-source Framework for Reasoning Over Tabular Data. ACL (demo) 2023: 336-347 - [c13]Minghao Guo, Veronika Thost, Samuel W. Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik:
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction. ICML 2023: 12055-12076 - 2022
- [c12]Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik:
Data-Efficient Graph Grammar Learning for Molecular Generation. ICLR 2022 - 2021
- [c11]Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin:
Towards Evaluating and Training Verifiably Robust Neural Networks. CVPR 2021: 4308-4317 - 2020
- [c10]Minghao Guo, Yuzhe Yang
, Rui Xu, Ziwei Liu, Dahua Lin:
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. CVPR 2020: 628-637 - 2019
- [c9]Minghao Guo, Cai Rui, Wei Wang, Binghuai Lin, Jinsong Zhang, Yanlu Xie:
A Study on Mispronunciation Detection Based on Fine-grained Speech Attribute. APSIPA 2019: 1197-1201 - [c8]Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan:
IRLAS: Inverse Reinforcement Learning for Architecture Search. CVPR 2019: 9021-9029 - [c7]Jiawei Yu, Minghao Guo, Yanlu Xie, Jinsong Zhang:
Articulatory Features Based TDNN Model for Spoken Language Recognition. IALP 2019: 308-312 - [c6]Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang
:
Online Hyper-Parameter Learning for Auto-Augmentation Strategy. ICCV 2019: 6578-6587 - [c5]Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang
:
AM-LFS: AutoML for Loss Function Search. ICCV 2019: 8409-8418 - 2018
- [c4]Minghao Guo, Jiwen Lu
, Jie Zhou:
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking. ECCV (10) 2018: 783-799 - [c3]Wei Wang, Wei Wei, Yanlu Xie, Minghao Guo, Jinsong Zhang
:
Improve the Accuracy of Non-native Speech Annotation with a Semi-automatic Approach. ISCSLP 2018: 116-120 - 2017
- [c2]Haitian Zheng, Minghao Guo, Haoqian Wang, Yebin Liu, Lu Fang:
Combining Exemplar-Based Approach and learning-Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System. ICCV Workshops 2017: 2481-2486 - [c1]Jian Dang, Minghao Guo, Zaichen Zhang, Liang Wu:
Imperfect Reconstructed Filter Bank Multiple Access System Using Wide-Banded Subbands. VTC Spring 2017: 1-6
Informal and Other Publications
- 2024
- [i17]Xiangyu Gao, Yuwei Jin, Minghao Guo, Henry Chen, Eddy Z. Zhang:
Linear Depth QFT over IBM Heavy-hex Architecture. CoRR abs/2402.09705 (2024) - [i16]Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J. Pedretti, Zachary P. Smith, Jie Chen, Wojciech Matusik:
Representing Molecules as Random Walks Over Interpretable Grammars. CoRR abs/2403.08147 (2024) - [i15]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR abs/2405.09783 (2024) - [i14]Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik:
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes. CoRR abs/2405.20283 (2024) - [i13]Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik:
Physically Compatible 3D Object Modeling from a Single Image. CoRR abs/2405.20510 (2024) - 2023
- [i12]Minghao Guo, Yan Gao, Zheng Pan:
Adaptive Approximate Implicitization of Planar Parametric Curves via Weak Gradient Constraints. CoRR abs/2302.11767 (2023) - [i11]Minghao Guo, Veronika Thost, Samuel W. Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik:
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction. CoRR abs/2309.01788 (2023) - [i10]Minghao Guo, Bohan Wang, Wojciech Matusik:
Medial Skeletal Diagram: A Generalized Medial Axis Approach for Compact 3D Shape Representation. CoRR abs/2310.09395 (2023) - 2022
- [i9]Minghao Guo, Veronika Thost, Beichen Li
, Payel Das, Jie Chen, Wojciech Matusik:
Data-Efficient Graph Grammar Learning for Molecular Generation. CoRR abs/2203.08031 (2022) - 2021
- [i8]Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin:
Towards Evaluating and Training Verifiably Robust Neural Networks. CoRR abs/2104.00447 (2021) - [i7]Minghao Guo, Wan Shou, Liane Makatura, Timothy Erps, Michael Foshey, Wojciech Matusik:
Polygrammar: Grammar for Digital Polymer Representation and Generation. CoRR abs/2105.05278 (2021) - 2020
- [i6]Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy:
Texture Memory-Augmented Deep Patch-Based Image Inpainting. CoRR abs/2009.13240 (2020) - 2019
- [i5]Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo:
See the World through Network Cameras. CoRR abs/1904.06775 (2019) - [i4]Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan:
Online Hyper-parameter Learning for Auto-Augmentation Strategy. CoRR abs/1905.07373 (2019) - [i3]Chuming Li, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan:
AM-LFS: AutoML for Loss Function Search. CoRR abs/1905.07375 (2019) - [i2]Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu:
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. CoRR abs/1911.10695 (2019) - 2018
- [i1]Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan:
IRLAS: Inverse Reinforcement Learning for Architecture Search. CoRR abs/1812.05285 (2018)
Coauthor Index
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