| Enabling Flexible Resource Allocation in Mobile Deep Learning Systems C Wu, L Zhang, Q Li, Z Fu, W Zhu, Y Zhang IEEE Transactions on Parallel and Distributed Systems 30 (2), 346-360, 2018 | 17 | 2018 |
| InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages Q Li, W Zhu, C Wu, X Pan, F Yang, Y Zhou, Y Zhang Proceedings of the 28th ACM International Conference on Multimedia, 753-762, 2020 | 13 | 2020 |
| ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators Q Li, J Ren, X Pan, Y Zhou, Y Zhang 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 5 | 2022 |
| Privacy-Preserving DNN Model Authorization against Model Theft and Feature Leakage Q Li, J Ren, Y Zhou, Y Zhang ICC 2022-IEEE International Conference on Communications, 5633-5638, 2022 | 2 | 2022 |
| Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction C Wu, Y Zhang, Y Zhou, Q Li International Conference on Algorithms and Architectures for Parallel …, 2018 | 2 | 2018 |
| Rethinking HTTP Adaptive Streaming with the Mobile User Perception C Wu, W Zhu, Q Li, Y Zhang Proceedings of the 25th ACM international conference on Multimedia, 925-933, 2017 | 2 | 2017 |
| Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators Q Li, J Ren, Y Zhang, C Song, Y Liao, Y Zhang IEEE/ACM Design Automation Conference 2023, 2023 | 1 | 2023 |
| Exploring Potential and Feasibility of Binary Code Sharing in Mobile Computing C Wu, L Zhang, Z Li, Q Li, Y Zhang IEEE Transactions on Cloud Computing, 2019 | 1 | 2019 |
| You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks Q Li, Y Zhang, J Ren, Q Li, Y Zhang Network and Distributed System Security (NDSS) Symposium 2024, 2024 | | 2024 |
