Qing Lu

Orcid: 0000-0002-0601-8610

Affiliations:
  • University of Notre Dame, Department of Computer Science and Engineering, Notre Dame, IN, USA


According to our database1, Qing Lu authored at least 20 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Automatic Segment-Level Assessment of Regional Wall Motion Abnormality From Echocardiography Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus.
CoRR, 2022

RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Quantization of Deep Neural Networks for Accurate Edge Computing.
ACM J. Emerg. Technol. Comput. Syst., 2021

Quantization of Deep Neural Networks for Accurate EdgeComputing.
CoRR, 2021

A mining pool solution for novel proof-of-neural-architecture consensus.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

2020
NASS: Optimizing Secure Inference via Neural Architecture Search.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
On Neural Architecture Search for Resource-Constrained Hardware Platforms.
CoRR, 2019

2018
Accelerating Dynamic Time Warping With Memristor-Based Customized Fabrics.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.
ACM J. Emerg. Technol. Comput. Syst., 2018

Resource constrained cellular neural networks for real-time obstacle detection using FPGAs.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization.
Proceedings of the Neuromorphic Computing Symposium, 2017

Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017


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