Zhuwei Qin

According to our database, Zhuwei Qin authored at least 24 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices.

Jimmy Lu, Philip Liang, Jin Chul Rhim, Xiaorong Zhang, Zhuwei Qin

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.

Zhenyu Lin, Philip Liang, Xiaorong Zhang, Zhuwei Qin

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework.

Zhuwei Qin, Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Wideband Spectrum Sensing based on Collaborative Multi-Task Learning.

Weishan Zhang, Yue Wang, Fuxun Yu, Zhuwei Qin, Xiang Chen, Zhi Tian

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021

REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems.

Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications.

Zirui Xu, Fuxun Yu, Zhuwei Qin, Chenchen Liu, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Fed2: Feature-Aligned Federated Learning.

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Heterogeneous Federated Learning.

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

CoRR, 2020

Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization.

Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen

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.

Zhuwei Qin, Hao Jiang

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Exploring Decentralized Collaboration in Heterogeneous Edge Training.

Xiang Chen, Zhuwei Qin

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.

Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Interpreting and Evaluating Neural Network Robustness.

Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Task-adaptive incremental learning for intelligent edge devices.

Zhuwei Qin, Fuxun Yu, Xiang Chen

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Functionality-Oriented Convolutional Filter Pruning.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the 30th British Machine Vision Conference 2019, 2019

CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

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.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

Math. Found. Comput., 2018

Distilling Critical Paths in Convolutional Neural Networks.

Fuxun Yu, Zhuwei Qin, Xiang Chen

CoRR, 2018

Demystifying Neural Network Filter Pruning.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

CoRR, 2018

Interpretable Convolutional Filter Pruning.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen

CoRR, 2018

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

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

CoRR, 2018

DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.

Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

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.

Zhuwei Qin, Zirui Xu, Qide Dong, Yiran Chen, Xiang Chen

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

AdaLearner: An adaptive distributed mobile learning system for neural networks.

Jiachen Mao, Zhuwei Qin, Zirui Xu, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017