Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching.

[BibT_eX]

[DOI]

Shaokun Zhang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Privacy as a Resource in Differentially Private Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients.

[BibT_eX]

[DOI]

CoRR, 2022

FedBalancer: data and pace control for efficient federated learning on heterogeneous clients.

[BibT_eX]

[DOI]

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

MobiDepth: real-time depth estimation using on-device dual cameras.

[BibT_eX]

[DOI]

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Representational Continuity for Unsupervised Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

DistFL: Distribution-aware Federated Learning for Mobile Scenarios.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Beyond the virus: a first look at coronavirus-themed Android malware.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2021

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

MMGuard: Automatically Protecting On-Device Deep Learning Models in Android Apps.

[BibT_eX]

[DOI]

Jiayi Hua

Yuanchun Li

Haoyu Wang

Proceedings of the IEEE Security and Privacy Workshops, 2021

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Flexible high-resolution object detection on edge devices with tunable latency.

[BibT_eX]

[DOI]

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Dependency-aware Form Understanding.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware.

[BibT_eX]

[DOI]

CoRR, 2020

Dynamic slicing for deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

A Deep Learning based Approach to Automated Android App Testing.

[BibT_eX]

[DOI]

CoRR, 2019

Humanoid: A Deep Learning-Based Approach to Automated Black-box Android App Testing.

[BibT_eX]

[DOI]