Hong Zhu | DeepAI

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∙ 08/29/2023

Robust Long-Tailed Learning via Label-Aware Bounded CVaR

Data in the real-world classification problems are always imbalanced or ...

0 Hong Zhu, et al. ∙

∙ 08/01/2023

Choir Transformer: Generating Polyphonic Music with Relative Attention on Transformer

Polyphonic music generation is still a challenge direction due to its co...

0 Jiuyang Zhou, et al. ∙

∙ 07/13/2023

A Scenario-Based Functional Testing Approach to Improving DNN Performance

This paper proposes a scenario-based functional testing approach for enh...

0 Hong Zhu, et al. ∙

∙ 06/30/2023

Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving

Differential privacy (DP), as a promising privacy-preserving model, has ...

0 Zhiqiang Zhang, et al. ∙

∙ 06/26/2023

Contrastive Multi-view Framework for Customer Lifetime Value Prediction

Accurate customer lifetime value (LTV) prediction can help service provi...

0 Chuhan Wu, et al. ∙

∙ 04/21/2023

An Optimization Framework For Anomaly Detection Scores Refinement With Side Information

This paper considers an anomaly detection problem in which a detection a...

0 Ali Maatouk, et al. ∙

∙ 10/13/2022

Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors

Deep models often fail to generalize well in test domains when the data ...

0 Qixun Wang, et al. ∙

∙ 08/09/2022

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

Learning embedding table plays a fundamental role in Click-through rate(...

0 Fuyuan Lyu, et al. ∙

∙ 07/06/2022

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data

Tabular data is one of the most common data storage formats in business ...

0 Pengxiang Cheng, et al. ∙

∙ 05/10/2022

CoDo: Contrastive Learning with Downstream Background Invariance for Detection

The prior self-supervised learning researches mainly select image-level ...

7 Bing Zhao, et al. ∙

∙ 10/01/2021

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

Testing has been widely recognised as difficult for AI applications. Thi...

0 Hong Zhu, et al. ∙

∙ 03/05/2021

Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation

Sequential recommender systems aim to model users' evolving interests fr...

0 Chang Liu, et al. ∙

∙ 12/15/2020

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

In this paper, we propose an end-end model for producing furniture layou...

0 Xinhan Di, et al. ∙

∙ 12/15/2020

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

In this paper, we propose a multiple-domain model for producing a custom...

0 Xinhan Di, et al. ∙

∙ 08/04/2020

Structural Plan of Indoor Scenes with Personalized Preferences

In this paper, we propose an assistive model that supports professional ...

0 Xinhan Di, et al. ∙

∙ 06/24/2020

Towards Adversarial Planning for Indoor Scenes with Rotation

In this paper, we propose an adversarial model for producing furniture l...

0 Xinhan Di, et al. ∙

∙ 03/12/2020

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Since deep neural networks were developed, they have made huge contribut...

0 Tong Yu, et al. ∙

∙ 12/20/2019

Morphy: A Datamorphic Software Test Automation Tool

This paper presents an automated tool called Morphy for datamorphic test...

0 Hong Zhu, et al. ∙

∙ 12/10/2019

Datamorphic Testing: A Methodology for Testing AI Applications

With the rapid growth of the applications of machine learning (ML) and o...

38 Hong Zhu, et al. ∙

∙ 12/03/2019

Less Is Better: Unweighted Data Subsampling via Influence Function

In the time of Big Data, training complex models on large-scale data set...

20 Zifeng Wang, et al. ∙

∙ 12/26/2018

Practical Adversarial Attack Against Object Detector

In this paper, we proposed the first practical adversarial attacks again...

12 Yue Zhao, et al. ∙

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