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Qing Lu - IEEE Xplore Author Profile
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Qing Lu

Publications
11
Citations
103
Publications by Year
20172024
Co-Authors:
Show All Co-Authors (29)
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Qing Lu

Affiliation

Department of Computer Science and Engineering
University of Notre Dame
IN, US

Publication Topics

Biography

Qing Lu received the B.E. degree in electronic and information engineering from the Dalian University of Technology, Dalian, China, in 2012 and the M.S. degree from Hong Kong Polytechnic University, Hong Kong, in 2014. He is currently pursuing the Ph.D. degree in computer science and engineering with the University of Notre Dame, Notre Dame, IN, USA.,His current research interests include very large scale integration and system design, field-programmable gate arrays, and machine learning.,Mr. Lu was a recipient of the Best Paper Award in ATC 2015.(Based on document published on 19 July 2017).
Publications
11
Citations
103
Publications by Year
20172024
Co-Authors:
Show All Co-Authors (29)
Author's Published Works

Showing 1-11 of 11 results

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Automatic Segment-Level Assessment of Regional Wall Motion Abnormality From Echocardiography Images

Kaikai Liu;Xiaoshan Li;Qing Lu;Yiyu Shi;Jian Zhuang;Hongwen Fei;Erlei Zhang;Xiaowei Xu

2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Year: 2024 | Conference Paper |
Regional wall motion assessment is critical for the diagnosis of coronary artery diseases, and is commonly performed using echocardiography images in clinical practice. However, manual assessment of regional wall motion is time-consuming and requires expertise. Currently, various works have been proposed to detect the existence of regional wall motion abnormality, whereas they do not provide a seg...Show More

Automatic Segment-Level Assessment of Regional Wall Motion Abnormality From Echocardiography Images

Kaikai Liu;Xiaoshan Li;Qing Lu;Yiyu Shi;Jian Zhuang;Hongwen Fei;Erlei Zhang;Xiaowei Xu

Year: 2024 | Conference Paper |

Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning

Boyang Li;Bingyu Shen;Qing Lu;Taeho Jung;Yiyu Shi

2023 Fifth International Conference on Blockchain Computing and Applications (BCCA)
Year: 2023 | Conference Paper |
The continuous thriving of the Blockchain society motivates research in novel designs of schemes supporting cryptocurrencies. Previously multiple Proof-of-Deep-Learning(PoDL) consensuses have been proposed to replace hashing with useful work such as deep learning model training tasks. The energy will be more efficiently used while maintaining the ledger. However deep learning models are problem-sp...Show More

Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning

Boyang Li;Bingyu Shen;Qing Lu;Taeho Jung;Yiyu Shi

Year: 2023 | Conference Paper |

Quantization Through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space

Qing Lu;Weiwen Jiang;Xiaowei Xu;Jingtong Hu;Yiyu Shi

2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Quantization has become an essential technique in compressing deep neural networks for deployment onto resource-constrained hardware. It is noticed that, the hardware efficiency of implementing quantized networks is highly coupled with the actual values to be quantized into, and therefore, with given bit widths, we can smartly choose a value space to further boost the hardware effi-ciency. For exa...Show More

Quantization Through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space

Qing Lu;Weiwen Jiang;Xiaowei Xu;Jingtong Hu;Yiyu Shi

Year: 2023 | Conference Paper |

ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery

An Zeng;Chenxi Mi;Dan Pan;Qing Lu;Xiaowei Xu

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2022 | Conference Paper |
Anomalous left coronary artery from pulmonary artery (ALCAPA) is a serious cardiac anomaly, and surgical repair is the main treatment for ALCAPA patients in clinical practice. Recently, 3D printing has been widely adopted in the surgical planning of ALCAPA, which can give surgeons an intuitive structure of the heart especially the coronary arteries. However, before 3D printing is conducted, experi...Show More

ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery

An Zeng;Chenxi Mi;Dan Pan;Qing Lu;Xiaowei Xu

Year: 2022 | Conference Paper |

ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators

Qing Lu;Zhenge Jia;Jingtong Hu;Yiyu Shi

2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
Year: 2022 | Conference Paper |
Ventricular arrhythmia (VA) detection plays an important role in preventing sudden cardiac death, and is one of the most crucial components in current implantable cardioverter defibrillators (ICDs). Recently, convolutional neural networks (CNNs) have been widely acknowledged to outperform traditional methods for arrhythmias detection. However, most modern CNN-based VA detectors have relied on comp...Show More

ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators

Qing Lu;Zhenge Jia;Jingtong Hu;Yiyu Shi

Year: 2022 | Conference Paper |

Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs

Qing Lu;Weiwen Jiang;Meng Jiang;Jingtong Hu;Yiyu Shi

2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
Year: 2022 | Conference Paper |
The success of graph neural networks (GNNs) in the past years has aroused growing interest and effort in designing the best models to handle graph-structured data. Meanwhile, the neural architecture search (NAS) technique has been witnessed to rival against human experts in discovering efficient network topology. Most recently, it has been applied to the field of GNN engineering. However, despite ...Show More

Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs

Qing Lu;Weiwen Jiang;Meng Jiang;Jingtong Hu;Yiyu Shi

Year: 2022 | Conference Paper |

A mining pool solution for novel proof-of-neural-architecture consensus

Boyang Li;Qing Lu;Weiwen Jiang;Taeho Jung;Yiyu Shi

2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In many recent novel blockchain consensuses, deep learning training procedure becomes the task for miners to prove their workload, thus the computation power of miners will not purely be spent on the hash puzzle. Therefore, the hardware and energy will support the blockchain service and deep learning training at the same time. The incentive of miners is to earn tokens and individual miners will fi...Show More

A mining pool solution for novel proof-of-neural-architecture consensus

Boyang Li;Qing Lu;Weiwen Jiang;Taeho Jung;Yiyu Shi

Year: 2021 | Conference Paper |

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

Xiaowei Xu;Qing Lu;Lin Yang;Sharon Hu;Danny Chen;Yu Hu;Yiyu Shi

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018 | Conference Paper |
Cited by: Papers (66)
With pervasive applications of medical imaging in health-care, biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. Since manual annotation suffers limited reproducibility, arduous efforts, and excessive time, automatic segmentation is desired to process increasingly larger scale histopathological data. Recently, deep neural net...Show More

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

Xiaowei Xu;Qing Lu;Lin Yang;Sharon Hu;Danny Chen;Yu Hu;Yiyu Shi

Year: 2018 | Conference Paper |

Resource constrained cellular neural networks for real-time obstacle detection using FPGAs

Xiaowei Xu;Tianchen Wang;Qing Lu;Yiyu Shi

2018 19th International Symposium on Quality Electronic Design (ISQED)
Year: 2018 | Conference Paper |
Cited by: Papers (8)
Due to the fast growing industry of smart cars and autonomous driving, advanced driver assistance systems (ADAS) with its applications have attracted a lot of attention. As a crucial part of ADAS, obstacle detection has been challenge due to the real-tme and resource-constraint requirements. Cellular neural network (CeNN) has been popular for obstacle detection, however suffers from high computati...Show More

Resource constrained cellular neural networks for real-time obstacle detection using FPGAs

Xiaowei Xu;Tianchen Wang;Qing Lu;Yiyu Shi

Year: 2018 | Conference Paper |

Accelerating Dynamic Time Warping With Memristor-Based Customized Fabrics

Xiaowei Xu;Feng Lin;Aosen Wang;Xinwei Yao;Qing Lu;Wenyao Xu;Yiyu Shi;Yu Hu

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Year: 2018 | Volume: 37, Issue: 4 | Journal Article |
Cited by: Papers (18)
The rapid development of Internet of Things is yielding a huge volume of time series data, the real-time mining of which becomes a major load for data centers. The computation bottleneck in time series mining is the distance measure, in which dynamic time warping (DTW) is one of the most widely used distance measures. Recently, various software optimization and hardware acceleration techniques hav...Show More

Accelerating Dynamic Time Warping With Memristor-Based Customized Fabrics

Xiaowei Xu;Feng Lin;Aosen Wang;Xinwei Yao;Qing Lu;Wenyao Xu;Yiyu Shi;Yu Hu

Year: 2018 | Volume: 37, Issue: 4 | Journal Article |

Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks

Xiaowei Xu;Qing Lu;Tianchen Wang;Jinglan Liu;Cheng Zhuo;Xiaobo Sharon Hu;Yiyu Shi

2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Year: 2017 | Conference Paper |
Cited by: Papers (8)
With the need for increased care and welfare of the rapidly aging population, mobile telemedicine is becoming popular for providing remote health care to increase the quality of life. Recently, image analysis is being actively applied for medical diagnosis and treatment, in which image segmentation is of the fundamental importance for other image processing such as visualization and detection. How...Show More

Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks

Xiaowei Xu;Qing Lu;Tianchen Wang;Jinglan Liu;Cheng Zhuo;Xiaobo Sharon Hu;Yiyu Shi

Year: 2017 | Conference Paper |

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