Qiushi Li

Orcid: 0000-0003-1449-0568

Affiliations:

Beihang University, Beijing, China

According to our database¹, Qiushi Li authored at least 15 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Mosaic: Cross-Modal Clustering for Efficient Video Understanding.

[BibT_eX]

[DOI]

CoRR, April, 2026

Nappa: NNA-Compatible and Privacy-Preserving DNN Training Framework via Vector Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2026

PeriNet: Periodic Deep Learning Framework for Modality-Agnostic Privacy Preserving.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2025

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting.

[BibT_eX]

[DOI]

CoRR, June, 2025

2024

You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Confidential Federated Learning for Heterogeneous Platforms against Client-Side Privacy Leakages.

[BibT_eX]

[DOI]

Qiushi Li

Yan Zhang

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023

Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Exploring Potential and Feasibility of Binary Code Sharing in Mobile Computing.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2022

ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Privacy-Preserving DNN Model Authorization against Model Theft and Feature Leakage.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2020

InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Enabling Flexible Resource Allocation in Mobile Deep Learning Systems.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

2018

Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017

Rethinking HTTP Adaptive Streaming with the Mobile User Perception.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Qiushi Li

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Bibliography

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