Zhuwei Qin

Orcid: 0000-0002-5465-7740

According to our database1, Zhuwei Qin authored at least 27 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

DRome: A Deep Learning-Based Mobile Vision System for Real-Time Range of Motion Evaluation.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

mMyoHMI: Real-Time EMG-Based Pattern Recognition with On-Device Learning Adaptation.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023
EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Toward Robust High-Density EMG Pattern Recognition using Generative Adversarial Network and Convolutional Neural Network.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022
CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Wideband Spectrum Sensing based on Collaborative Multi-Task Learning.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021
REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Fed2: Feature-Aligned Federated Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Heterogeneous Federated Learning.
CoRR, 2020

Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Towards Context-aware Distributed Learning for CNN in Mobile Applications.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Exploring Decentralized Collaboration in Heterogeneous Edge Training.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Interpreting and Evaluating Neural Network Robustness.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Task-adaptive incremental learning for intelligent edge devices.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Functionality-Oriented Convolutional Filter Pruning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
How convolutional neural networks see the world - A survey of convolutional neural network visualization methods.
Math. Found. Comput., 2018

Distilling Critical Paths in Convolutional Neural Networks.
CoRR, 2018

Demystifying Neural Network Filter Pruning.
CoRR, 2018

Interpretable Convolutional Filter Pruning.
CoRR, 2018

How convolutional neural network see the world - A survey of convolutional neural network visualization methods.
CoRR, 2018

DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018

2017
VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

AdaLearner: An adaptive distributed mobile learning system for neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017


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