b'Chao Huang'

VSpSR: Explorable Super-Resolution via Variational Sparse Representation

Super-resolution (SR) is an ill-posed problem, which means that infinite...
04/17/2021 ∙ by Hangqi Zhou, et al. ∙ 0 ∙ share

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Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving

Due to the limited smartness and abilities of machine intelligence, curr...
04/15/2021 ∙ by Jingda Wu, et al. ∙ 0 ∙ share

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BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function

This paper proposes an automatic Chinese text categorization method for ...
04/09/2021 ∙ by Zhongju Wang, et al. ∙ 0 ∙ share

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Strategic Information Revelation in Crowdsourcing Systems Without Verification

We study a crowdsourcing problem where the platform aims to incentivize ...
04/08/2021 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments

Human multi-robot system (MRS) collaboration is demonstrating potentials...
04/07/2021 ∙ by Yijiang Pang, et al. ∙ 0 ∙ share

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Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model

In human-robot collaboration (HRC), human trust in the robot is the huma...
03/14/2021 ∙ by Ruijiao Luo, et al. ∙ 0 ∙ share

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Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments

As multi-robot systems (MRS) are widely used in various tasks such as na...
03/14/2021 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning

With the advantages of member diversity and team scale, heterogeneous mu...
06/28/2020 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images

Scoliosis is a congenital disease that causes lateral curvature in the s...
05/28/2020 ∙ by Abdullah-Al-Zubaer Imran, et al. ∙ 9 ∙ share

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Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

Considering that human-driven vehicles and autonomous vehicles (AVs) wil...
05/22/2020 ∙ by Peng Hang, et al. ∙ 0 ∙ share

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An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors

This paper presents a novel integrated approach to deal with the decisio...
05/22/2020 ∙ by Peng Hang, et al. ∙ 0 ∙ share

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Partly Supervised Multitask Learning

Semi-supervised learning has recently been attracting attention as an al...
05/05/2020 ∙ by Abdullah-Al-Zubaer Imran, et al. ∙ 6 ∙ share

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Analysis of Scoliosis From Spinal X-Ray Images

Scoliosis is a congenital disease in which the spine is deformed from it...
04/15/2020 ∙ by Abdullah-Al-Zubaer Imran, et al. ∙ 7 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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Chao Huang

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