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2020 – today
- 2024
[c18]Ankita Mukherjee, Helena Alvarez, Xiaorong Zhang, Zhuwei Qin, Charmayne Mary Lee Hughes:
DRome: A Deep Learning-Based Mobile Vision System for Real-Time Range of Motion Evaluation. BioRob 2024: 315-320- [c17]Junyu Lu, Amir Modan, Zhenyu Lin, Charmayne Mary Lee Hughes, Xiaorong Zhang, Zhuwei Qin:
mMyoHMI: Real-Time EMG-Based Pattern Recognition with On-Device Learning Adaptation. BioRob 2024: 747-752 - [c16]Kang Jun Bai, Hao Jiang, Zhuwei Qin, Clare Thiem:
Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems. ISQED 2024: 1-6 - 2023
- [c15]Zhenyu Lin, Philip Liang, Xiaorong Zhang, Zhuwei Qin:
Toward Robust High-Density EMG Pattern Recognition using Generative Adversarial Network and Convolutional Neural Network. NER 2023: 1-5 - [c14]Jimmy Lu, Philip Liang, Jin Chul Rhim, Xiaorong Zhang, Zhuwei Qin:
EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices. NER 2023: 1-5 - 2022
- [j4]Zhuwei Qin
, Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen:
CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 530-543 (2022) - [c13]Weishan Zhang, Yue Wang, Fuxun Yu, Zhuwei Qin, Xiang Chen, Zhi Tian:
Wideband Spectrum Sensing based on Collaborative Multi-Task Learning. ICC Workshops 2022: 1-6 - 2021
- [j3]Zirui Xu, Fuxun Yu, Zhuwei Qin, Chenchen Liu, Xiang Chen:
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 246-259 (2021) - [j2]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen:
REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1258-1271 (2021) - [c12]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Fed2: Feature-Aligned Federated Learning. KDD 2021: 2066-2074 - [i8]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Fed2: Feature-Aligned Federated Learning. CoRR abs/2111.14248 (2021) - 2020
- [c11]Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen:
DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling. DATE 2020: 1097-1102 - [c10]Zhuwei Qin, Hao Jiang:
Towards Context-aware Distributed Learning for CNN in Mobile Applications. SEC 2020: 320 - [c9]Xiang Chen, Zhuwei Qin:
Exploring Decentralized Collaboration in Heterogeneous Edge Training. SEC 2020: 450-453 - [c8]Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen:
Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. ISLPED 2020: 133-138 - [i7]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Heterogeneous Federated Learning. CoRR abs/2008.06767 (2020)
2010 – 2019
- 2019
- [c7]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications. ASP-DAC 2019: 444-449 - [c6]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
Functionality-Oriented Convolutional Filter Pruning. BMVC 2019: 92 - [c5]Zhuwei Qin, Fuxun Yu, Xiang Chen:
Task-adaptive incremental learning for intelligent edge devices. SEC 2019: 340-341 - [c4]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. IJCAI 2019: 4199-4205 - [i6]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. CoRR abs/1905.04270 (2019) - [i5]Zhuwei Qin, Fuxun Yu, Xiang Chen:
Task-Adaptive Incremental Learning for Intelligent Edge Devices. CoRR abs/1910.03122 (2019) - 2018
- [j1]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
How convolutional neural networks see the world - A survey of convolutional neural network visualization methods. Math. Found. Comput. 1(2): 149-180 (2018) - [c3]Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems. ISLPED 2018: 37:1-37:6 - [i4]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
How convolutional neural network see the world - A survey of convolutional neural network visualization methods. CoRR abs/1804.11191 (2018) - [i3]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen:
Interpretable Convolutional Filter Pruning. CoRR abs/1810.07322 (2018) - [i2]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
Demystifying Neural Network Filter Pruning. CoRR abs/1811.02639 (2018) - [i1]Fuxun Yu, Zhuwei Qin, Xiang Chen:
Distilling Critical Paths in Convolutional Neural Networks. CoRR abs/1811.02643 (2018) - 2017
- [c2]Jiachen Mao, Zhuwei Qin, Zirui Xu, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
AdaLearner: An adaptive distributed mobile learning system for neural networks. ICCAD 2017: 291-296 - [c1]Zhuwei Qin, Zirui Xu, Qide Dong, Yiran Chen, Xiang Chen:
VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper. ICCAD 2017: 835-840
Coauthor Index
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