Minghao Guo

According to our database, Minghao Guo authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Representing Molecules as Random Walks Over Interpretable Grammars.

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

CoRR, 2024

Linear Depth QFT over IBM Heavy-hex Architecture.

Xiangyu Gao, Yuwei Jin, Minghao Guo, Henry Chen, Eddy Z. Zhang

CoRR, 2024

2023

Adaptive Approximate Implicitization of Planar Parametric Curves via Asymmetric Gradient Constraints.

Minghao Guo, Yan Gao

Symmetry, September, 2023

Variational quasi-harmonic maps for computing diffeomorphisms.

Yu Wang, Minghao Guo, Justin Solomon

ACM Trans. Graph., August, 2023

Medial Skeletal Diagram: A Generalized Medial Axis Approach for Compact 3D Shape Representation.

Minghao Guo, Bohan Wang, Wojciech Matusik

CoRR, 2023

Adaptive Approximate Implicitization of Planar Parametric Curves via Weak Gradient Constraints.

Minghao Guo, Yan Gao, Zheng Pan

CoRR, 2023

Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction.

Minghao Guo, Veronika Thost, Samuel W. Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik

Proceedings of the International Conference on Machine Learning, 2023

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.

Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Data-Efficient Graph Grammar Learning for Molecular Generation.

Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Pareto gamuts: exploring optimal designs across varying contexts.

Liane Makatura, Minghao Guo, Adriana Schulz, Justin Solomon, Wojciech Matusik

ACM Trans. Graph., 2021

Texture Memory-Augmented Deep Patch-Based Image Inpainting.

Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

IEEE Trans. Image Process., 2021

Polygrammar: Grammar for Digital Polymer Representation and Generation.

Minghao Guo, Wan Shou, Liane Makatura, Timothy Erps, Michael Foshey, Wojciech Matusik

CoRR, 2021

Towards Evaluating and Training Verifiably Robust Neural Networks.

Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Reasoning-Decision Networks for Robust Face Alignment.

Hao Liu, Jiwen Lu, Minghao Guo, Suping Wu, Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2020

When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks.

Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks.

Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu

CoRR, 2019

AM-LFS: AutoML for Loss Function Search.

Chuming Li, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan

CoRR, 2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy.

Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan

CoRR, 2019

See the World Through Network Cameras.

Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo

Computer, 2019

Online Hyper-Parameter Learning for Auto-Augmentation Strategy.

Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AM-LFS: AutoML for Loss Function Search.

Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Articulatory Features Based TDNN Model for Spoken Language Recognition.

Jiawei Yu, Minghao Guo, Yanlu Xie, Jinsong Zhang

Proceedings of the International Conference on Asian Language Processing, 2019

IRLAS: Inverse Reinforcement Learning for Architecture Search.

Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Study on Mispronunciation Detection Based on Fine-grained Speech Attribute.

Minghao Guo, Cai Rui, Wei Wang, Binghuai Lin, Jinsong Zhang, Yanlu Xie

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018

Improve the Accuracy of Non-native Speech Annotation with a Semi-automatic Approach.

Wei Wang, Wei Wei, Yanlu Xie, Minghao Guo, Jinsong Zhang

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking.

Minghao Guo, Jiwen Lu, Jie Zhou

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Imperfect Reconstructed Filter Bank Multiple Access System Using Wide-Banded Subbands.

Jian Dang, Minghao Guo, Zaichen Zhang, Liang Wu

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Combining Exemplar-Based Approach and learning-Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System.

Haitian Zheng, Minghao Guo, Haoqian Wang, Yebin Liu, Lu Fang

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2011

Geometric Information and Rational Parametrization of Nonsingular Cubic Blending Surfaces.

Minghao Guo, Tieru Wu, Shugong Zhang

J. Appl. Math., 2011