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Haoyu Ren
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2020 – today
- 2024
- [j7]Haoyu Ren
, Liuan Wang, Junjie Wu:
The faster or richer the response, the better performance? An empirical analysis of online healthcare platforms from a competitive perspective. Decis. Support Syst. 184: 114274 (2024) - [j6]Haoyu Ren
On-device Online Learning and Semantic Management of TinyML Systems. ACM Trans. Embed. Comput. Syst. 23(4): 55:1-55:32 (2024) - [i12]Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler:
On-device Online Learning and Semantic Management of TinyML Systems. CoRR abs/2405.07601 (2024) - 2023
- [c31]Haoyu Ren
TinyReptile: TinyML with Federated Meta-Learning. IJCNN 2023: 1-9 - [c30]Haoyu Ren, Yi Fan, Stephen Huang:
Robust Real-world Image Enhancement Based on Multi-Exposure LDR Images. WACV 2023: 1715-1723 - [i11]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyReptile: TinyML with Federated Meta-Learning. CoRR abs/2304.05201 (2023) - [i10]Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler:
TinyMetaFed: Efficient Federated Meta-Learning for TinyML. CoRR abs/2307.06822 (2023) - 2022
- [j5]Haoyu Ren
Towards Semantic Management of On-Device Applications in Industrial IoT. ACM Trans. Internet Techn. 22(4): 102:1-102:30 (2022) - [c29]Wang Lu, Zhang Zaitian, Cheng Xuwei, Haoyu Ren, Chen Jianzhou, Fengqi Qiu, Yan Zitong, Zhang Xin, Zhang Li:
A Kind of PWM DC Motor Speed Regulation System Based on STM32 with Fuzzy-PID Dual Closed-Loop Control. ICIC (3) 2022: 106-113 - [c28]Yi Fan, Haoyu Ren, Hsilin Huang:
Fusion Temporal Color Constancy. ICIP 2022: 2366-2370 - [c27]Haoyu Ren
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. ISWC 2022: 845-862 - [i9]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective. CoRR abs/2202.09113 (2022) - [i8]Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler:
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. CoRR abs/2207.08818 (2022) - 2021
- [c26]Haoyu Ren
The synergy of complex event processing and tiny machine learning in industrial IoT. DEBS 2021: 126-135 - [c25]Cheng Xuwei, Zhang Zaitian, Haoyu Ren, Fengqi Qiu, Chen Jianzhou:
Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm. ICIC (2) 2021: 172-182 - [c24]Haoyu Ren
TinyOL: TinyML with Online-Learning on Microcontrollers. IJCNN 2021: 1-8 - [c23]Francesco Montanari, Haoyu Ren
Scenario Detection in Unlabeled Real Driving Data with a Rule-Based State Machine Supported by a Recurrent Neural Network. VTC Spring 2021: 1-5 - [i7]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyOL: TinyML with Online-Learning on Microcontrollers. CoRR abs/2103.08295 (2021) - [i6]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT. CoRR abs/2105.03371 (2021) - 2020
- [j4]Mostafa El-Khamy
Multitask Deep Neural Networks for Tele-Wide Stereo Matching. IEEE Access 8: 184383-184398 (2020) - [j3]Haoyu Ren
CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution. IEEE Trans. Computational Imaging 6: 447-462 (2020) - [c22]Haoyu Ren, Amin Kheradmand, Mostafa El-Khamy
Real-World Super-Resolution using Generative Adversarial Networks. CVPR Workshops 2020: 1760-1768 - [c21]Andreas Lugmayr, Martin Danelljan, Radu Timofte
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CVPR Workshops 2020: 2058-2076 - [c20]Haoyu Ren, Aman Raj, Mostafa El-Khamy
SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation. CVPR Workshops 2020: 3235-3243 - [c19]Haoyu Ren, Mostafa El-Khamy
Deep Monocular Video Depth Estimation Using Temporal Attention. ICASSP 2020: 1988-1992 - [c18]Haoyu Ren, Mostafa El-Khamy
Stereo Disparity Estimation via Joint Supervised, Unsupervised, and Weakly Supervised Learning. ICIP 2020: 2760-2764 - [i5]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/2005.01996 (2020)
2010 – 2019
- 2019
- [c17]Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. CVPR Workshops 2019: 37-45 - [c16]Mostafa El-Khamy
Multi-Task Learning of Depth from Tele and Wide Stereo Image Pairs. ICIP 2019: 4300-4304 - [i4]Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. CoRR abs/1906.03279 (2019) - [i3]Mostafa El-Khamy, Haoyu Ren, Xianzhi Du, Jungwon Lee:
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching. CoRR abs/1906.04463 (2019) - 2018
- [c15]Haoyu Ren, Mostafa El-Khamy
DN-ResNet: Efficient Deep Residual Network for Image Denoising. ACCV (5) 2018: 215-230 - [c14]Haoyu Ren, Mostafa El-Khamy
Video Super Resolution Based on Deep Convolution Neural Network With Two-Stage Motion Compensation. ICME Workshops 2018: 1-6 - [c13]Haoyu Ren, Mostafa El-Khamy
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution. WACV 2018: 1423-1431 - [i2]Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
DN-ResNet: Efficient Deep Residual Network for Image Denoising. CoRR abs/1810.06766 (2018) - 2017
- [c12]Haoyu Ren, Mostafa El-Khamy
Image Super Resolution Based on Fusing Multiple Convolution Neural Networks. CVPR Workshops 2017: 1050-1057 - [i1]Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution. CoRR abs/1711.04048 (2017) - 2016
- [j2]Haoyu Ren, Ze-Nian Li:
Object detection using boosted local binaries. Pattern Recognit. 60: 793-801 (2016) - 2015
- [c11]Haoyu Ren, Ze-Nian Li:
Basis mapping based boosting for object detection. CVPR 2015: 1583-1591 - [c10]Haoyu Ren, Ze-Nian Li:
Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features. ICCV 2015: 46-54 - [c9]Haoyu Ren, Ze-Nian Li:
Object recognition based on deformable edge set. ICIP 2015: 2439-2443 - [c8]Haoyu Ren, Ze-Nian Li:
Object tracking using structure-aware binary features. ICME 2015: 1-6 - 2014
- [c7]Haoyu Ren, Ze-Nian Li:
Age Estimation Based on Complexity-Aware Features. ACCV (1) 2014: 115-128 - [c6]Haoyu Ren, Ze-Nian Li:
Object detection using edge histogram of oriented gradient. ICIP 2014: 4057-4061 - [c5]Haoyu Ren, Ze-Nian Li:
Boosted local binaries for object detection. ICME 2014: 1-6 - [c4]Haoyu Ren, Ze-Nian Li:
Gender Recognition Using Complexity-Aware Local Features. ICPR 2014: 2389-2394 - 2013
- [j1]Wei Zheng, Hong Chang, Luhong Liang, Haoyu Ren, Shiguang Shan
Strip Features for Fast Object Detection. IEEE Trans. Cybern. 43(6): 1898-1912 (2013) - [c3]Xiaopeng Hong, Guoying Zhao
Efficient Boosted Weak Classifiers for Object Detection. SCIA 2013: 205-214 - 2010
- [c2]Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang, Xilin Chen:
Fast object detection using boosted co-occurrence histograms of oriented gradients. ICIP 2010: 2705-2708 - [c1]Haoyu Ren, Xiaopeng Hong, Cher-Keng Heng, Luhong Liang, Xilin Chen:
A Sample Pre-mapping Method Enhancing Boosting for Object Detection. ICPR 2010: 3005-3008
Coauthor Index
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