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

Mathematical foundations of computing, 2018, Vol.1 (2), p.149-180

2018

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Privacy-preserving federated learning for transportation mode prediction based on personal mobility data

High-Confidence Computing, 2022-12, Vol.2 (4), p.100082, Article 100082

2022

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

IEEE transactions on computer-aided design of integrated circuits and systems, 2021-06, Vol.40 (6), p.1258-1271

2021

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

IEEE transactions on computer-aided design of integrated circuits and systems, 2021-02, Vol.40 (2), p.246-259

2021

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CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-03, Vol.41 (3), p.530-543

2022

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Interpretable Deep Learning for Efficient Mobile Computing

Qin, Zhuwei

2020

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Synthesis and properties of soluble polyimides containing tert-butyl, ether linkages, and triphenylmethane units

High performance polymers, 2020-10, Vol.32 (8), p.924-932

2020

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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, p.1-6

2018

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

2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, p.1097-1102

2020

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DC-CNN: computational flow redefinition for efficient CNN through structural decoupling

Proceedings of the 23rd Conference on Design, Automation and Test in Europe, 2020, p.1097-1102

2020

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AdaLearner: An adaptive distributed mobile learning system for neural networks

2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2017, p.291-296

2017

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VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper

2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2017, p.835-840

2017

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Exploring Decentralized Collaboration in Heterogeneous Edge Training

2020 IEEE/ACM Symposium on Edge Computing (SEC), 2020, p.450-453

2020

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Towards Context-aware Distributed Learning for CNN in Mobile Applications

2020 IEEE/ACM Symposium on Edge Computing (SEC), 2020, p.320-320

2020

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Fed2: Feature-Aligned Federated Learning

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.2066-2074

2021

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Toward Robust High-Density EMG Pattern Recognition using Generative Adversarial Network and Convolutional Neural Network

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 2023, p.1-5

2023

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DRome: A Deep Learning-Based Mobile Vision System for Real-Time Range of Motion Evaluation

2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2024, p.315-320

2024

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mMyoHMI: Real-Time EMG-Based Pattern Recognition with On-Device Learning Adaptation

2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2024, p.747-752

2024

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Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems

2024 25th International Symposium on Quality Electronic Design (ISQED), 2024, p.1-6

2024

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

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 2023, p.1-5

2023

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Task-adaptive incremental learning for intelligent edge devices

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019, p.340-341

2019

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Wideband Spectrum Sensing based on Collaborative Multi-Task Learning

2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022, p.01-06

2022

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

Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, 2020, p.133-138

2020

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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, p.444-449

2019

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Nitrogen-Doped Metallic MoS2 Derived from a Metal–Organic Framework for Aqueous Rechargeable Zinc-Ion Batteries

ACS applied materials & interfaces, 2021-07, Vol.13 (29), p.34495-34506

2021

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

Privacy-preserving federated learning for transportation mode prediction based on personal mobility data

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

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

CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework

Interpretable Deep Learning for Efficient Mobile Computing

Synthesis and properties of soluble polyimides containing tert-butyl, ether linkages, and triphenylmethane units

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

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

DC-CNN: computational flow redefinition for efficient CNN through structural decoupling

AdaLearner: An adaptive distributed mobile learning system for neural networks

VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper

Exploring Decentralized Collaboration in Heterogeneous Edge Training

Towards Context-aware Distributed Learning for CNN in Mobile Applications

Fed2: Feature-Aligned Federated Learning

Toward Robust High-Density EMG Pattern Recognition using Generative Adversarial Network and Convolutional Neural Network

DRome: A Deep Learning-Based Mobile Vision System for Real-Time Range of Motion Evaluation

mMyoHMI: Real-Time EMG-Based Pattern Recognition with On-Device Learning Adaptation

Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems

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

Task-adaptive incremental learning for intelligent edge devices

Wideband Spectrum Sensing based on Collaborative Multi-Task Learning

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

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

Nitrogen-Doped Metallic MoS2 Derived from a Metal–Organic Framework for Aqueous Rechargeable Zinc-Ion Batteries

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