Search Results for author: Hong Zhu

Found 15 papers, 5 papers with code

CoDo: Contrastive Learning with Downstream Background Invariance for Detection

no code implementations10 May 2022 Bing Zhao, Jun Li, Hong Zhu

To bridge the performance gap, we propose a novel object-level self-supervised learning method, called Contrastive learning with Downstream background invariance (CoDo).

Contrastive Learning Data Augmentation +4

Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning

1 code implementation10 Oct 2021 Shaohua Wu, Xudong Zhao, Tong Yu, Rongguo Zhang, Chong Shen, Hongli Liu, Feng Li, Hong Zhu, Jiangang Luo, Liang Xu, Xuanwei Zhang

With this method, Yuan 1. 0, the current largest singleton language model with 245B parameters, achieves excellent performance on thousands GPUs during training, and the state-of-the-art results on NLP tasks.

Few-Shot Learning Language Modelling +1

Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing

no code implementations1 Oct 2021 Hong Zhu, Ian Bayley

This paper proposes a set of testing strategies for testing machine learning applications in the framework of the datamorphism testing methodology.

End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph

1 code implementation15 Dec 2020 Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu

We conduct our experiments on the proposed real-world interior layout dataset that contains $191208$ designs from the professional designers.

Deep Layout of Custom-size Furniture through Multiple-domain Learning

no code implementations15 Dec 2020 Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu

In this paper, we propose a multiple-domain model for producing a custom-size furniture layout in the interior scene.

Structural Plan of Indoor Scenes with Personalized Preferences

no code implementations4 Aug 2020 Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun

In this paper, we propose an assistive model that supports professional interior designers to produce industrial interior decoration solutions and to meet the personalized preferences of the property owners.

Graph Generation

Adversarial Model for Rotated Indoor Scenes Planning

no code implementations24 Jun 2020 Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun

In this paper, we propose an adversarial model for producing furniture layout for interior scene synthesis when the interior room is rotated.

Hyper-Parameter Optimization: A Review of Algorithms and Applications

1 code implementation12 Mar 2020 Tong Yu, Hong Zhu

This study next reviews major services and toolkits for HPO, comparing their support for state-of-the-art searching algorithms, feasibility with major deep learning frameworks, and extensibility for new modules designed by users.

Morphy: A Datamorphic Software Test Automation Tool

1 code implementation20 Dec 2019 Hong Zhu, Ian Bayley, Dongmei Liu, Xiaoyu Zheng

This paper focuses on the datamorphism combination strategies by giving their definitions and implementation algorithms.

Datamorphic Testing: A Methodology for Testing AI Applications

no code implementations10 Dec 2019 Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin

With the rapid growth of the applications of machine learning (ML) and other artificial intelligence (AI) techniques, adequate testing has become a necessity to ensure their quality.

Face Recognition

Less Is Better: Unweighted Data Subsampling via Influence Function

1 code implementation3 Dec 2019 Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

In the time of Big Data, training complex models on large-scale data sets is challenging, making it appealing to reduce data volume for saving computation resources by subsampling.

General Classification Image Classification +1

Anion charge-lattice volume dependent Li ion migration in compounds with the face-centered cubic anion frameworks

no code implementations25 Oct 2019 Zhenming Xu, Xin Chen, Ronghan Chen, Xin Li, Hong Zhu

In this work, the face-centered cubic (fcc) anion frameworks were creatively constructed to study the effects of anion charge and lattice volume on the stability of lithium ion occupation and lithium ion migration.

Applied Physics

Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition

no code implementations The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 2019 Duohan Liang, Guoliang Fan, Guangfeng Lin, Wanjun Chen, Xiaorong Pan, Hong Zhu

In this paper, we propose a three-stream convolutional neural network (3SCNN) for action recognition from skeleton sequences, which aims to thoroughly and fully exploit the skeleton data by extracting, learning, fusing and inferring multiple motion-related features, including 3D joint positions and joint displacements across adjacent frames as well as oriented bone segments.

Ensemble Learning Skeleton Based Action Recognition

Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors

no code implementations26 Dec 2018 Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, Kai Chen

In this paper, we presented systematic solutions to build robust and practical AEs against real world object detectors.

Adversarial Attack Autonomous Driving

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