Haoyu Ren

Orcid: 0000-0002-0241-6507

According to our database1, Haoyu Ren authored at least 41 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
On-device Online Learning and Semantic Management of TinyML Systems.
ACM Trans. Embed. Comput. Syst., July, 2024

The faster or richer the response, the better performance? An empirical analysis of online healthcare platforms from a competitive perspective.
Decis. Support Syst., 2024

2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML.
CoRR, 2023

Robust Real-world Image Enhancement Based on Multi-Exposure LDR Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TinyReptile: TinyML with Federated Meta-Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Towards Semantic Management of On-Device Applications in Industrial IoT.
ACM Trans. Internet Techn., November, 2022

How to Manage Tiny Machine Learning at Scale: An Industrial Perspective.
CoRR, 2022

SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.
Proceedings of the Semantic Web - ISWC 2022, 2022

Fusion Temporal Color Constancy.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Kind of PWM DC Motor Speed Regulation System Based on STM32 with Fuzzy-PID Dual Closed-Loop Control.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021
Scenario Detection in Unlabeled Real Driving Data with a Rule-Based State Machine Supported by a Recurrent Neural Network.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

TinyOL: TinyML with Online-Learning on Microcontrollers.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2021

The synergy of complex event processing and tiny machine learning in industrial IoT.
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020
CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution.
IEEE Trans. Computational Imaging, 2020

Multitask Deep Neural Networks for Tele-Wide Stereo Matching.
IEEE Access, 2020

Stereo Disparity Estimation via Joint Supervised, Unsupervised, and Weakly Supervised Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020

Deep Monocular Video Depth Estimation Using Temporal Attention.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Real-World Super-Resolution using Generative Adversarial Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


2019
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching.
CoRR, 2019

Multi-Task Learning of Depth from Tele and Wide Stereo Image Pairs.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Video Super Resolution Based on Deep Convolution Neural Network With Two-Stage Motion Compensation.
Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

DN-ResNet: Efficient Deep Residual Network for Image Denoising.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Image Super Resolution Based on Fusing Multiple Convolution Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Object detection using boosted local binaries.
Pattern Recognit., 2016

2015
Object tracking using structure-aware binary features.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Object recognition based on deformable edge set.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Basis mapping based boosting for object detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Gender Recognition Using Complexity-Aware Local Features.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Boosted local binaries for object detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Object detection using edge histogram of oriented gradient.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Age Estimation Based on Complexity-Aware Features.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Strip Features for Fast Object Detection.
IEEE Trans. Cybern., 2013

Efficient Boosted Weak Classifiers for Object Detection.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

2010
A Sample Pre-mapping Method Enhancing Boosting for Object Detection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fast object detection using boosted co-occurrence histograms of oriented gradients.
Proceedings of the International Conference on Image Processing, 2010


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