Chao Huang

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University of Notre Dame ∙ Shenzhen University

Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series

The prevalence of wearable sensors (e.g., smart wristband) is enabling a...
02/10/2020 ∙ by Xian Wu, et al. ∙ 8 ∙ share

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Non-Local Part-Aware Point Cloud Denoising

This paper presents a novel non-local part-aware deep neural network to ...
03/14/2020 ∙ by Chao Huang, et al. ∙ 5 ∙ share

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Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline

From medical charts to national census, healthcare has traditionally ope...
06/01/2017 ∙ by Keith Feldman, et al. ∙ 0 ∙ share

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Transfer Adversarial Hashing for Hamming Space Retrieval

Hashing is widely applied to large-scale image retrieval due to the stor...
12/13/2017 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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Neural Tensor Factorization

Neural collaborative filtering (NCF) and recurrent recommender systems (...
02/13/2018 ∙ by Xian Wu, et al. ∙ 0 ∙ share

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Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction

Recent advancements in deep learning for automated image processing and ...
12/03/2018 ∙ by Hyunkwang Lee, et al. ∙ 0 ∙ share

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Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization

We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
04/08/2019 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Deep learning in bioinformatics: introduction, application, and perspective in big data era

Deep learning, which is especially formidable in handling big data, has ...
02/28/2019 ∙ by Yu Li, et al. ∙ 0 ∙ share

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Model predictive approach to integrated path planning and tracking for autonomous vehicles

In the path planning problem of autonomous application, the existing stu...
05/09/2019 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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ReachNN: Reachability Analysis of Neural-Network Controlled Systems

Applying neural networks as controllers in dynamical systems has shown g...
06/25/2019 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Graph Fourier Transform Based on ℓ_1 Norm Variation Minimization

The definition of the graph Fourier transform is a fundamental issue in ...
08/19/2019 ∙ by Lihua Yang, et al. ∙ 0 ∙ share

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Heterogeneous Deep Graph Infomax

Graph representation learning is to learn universal node representations...
11/19/2019 ∙ by Yuxiang Ren, et al. ∙ 0 ∙ share

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Shape-Aware Organ Segmentation by Predicting Signed Distance Maps

In this work, we propose to resolve the issue existing in current deep l...
12/09/2019 ∙ by Yuan Xue, et al. ∙ 0 ∙ share

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Few-Shot Knowledge Graph Completion

Knowledge graphs (KGs) serve as useful resources for various natural lan...
11/26/2019 ∙ by Chuxu Zhang, et al. ∙ 0 ∙ share

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Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning

Humans can selectively focus on different information based on different...
02/12/2020 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Chao Huang

Featured Co-authors

Jiawei Zhang

Bo Liu

Xin Chen

Yu Li

Chi-Wing Fu

Shiliang Pu

Wei Fan

Rui Liu

Jianmin Wang

Xin Gao

Mingsheng Long

Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series

Non-Local Part-Aware Point Cloud Denoising

Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline

Transfer Adversarial Hashing for Hamming Space Retrieval

Neural Tensor Factorization

Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction

Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization

Deep learning in bioinformatics: introduction, application, and perspective in big data era

Model predictive approach to integrated path planning and tracking for autonomous vehicles

ReachNN: Reachability Analysis of Neural-Network Controlled Systems

Graph Fourier Transform Based on ℓ_1 Norm Variation Minimization

Heterogeneous Deep Graph Infomax

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps

Few-Shot Knowledge Graph Completion

Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning