Rethinking HTTP Adaptive Streaming with the Mobile User Perception. - Chao Wu 002; Wenwu Zhu 001; Qiushi Li 002; Yaoxue Zhang (ACM Multimedia, 2017)

Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction. - Chao Wu 002; Yaoxue Zhang; Yuezhi Zhou; Qiushi Li 002 (ICA3PP (1), 2018)

Enabling Flexible Resource Allocation in Mobile Deep Learning Systems. - Chao Wu 002; Lan Zhang 002; Qiushi Li 002; Ziyan Fu 001; Wenwu Zhu 001; Yaoxue Zhang (IEEE Trans. Parallel Distributed Syst., 2019)

InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages. - Qiushi Li 002; Wenwu Zhu 001; Chao Wu 002; Xinglin Pan; Fan Yang 134; Yuezhi Zhou; Yaoxue Zhang (ACM Multimedia, 2020)

Privacy-Preserving DNN Model Authorization against Model Theft and Feature Leakage. - Qiushi Li 002; Ju Ren 001; Yuezhi Zhou; Yaoxue Zhang (ICC, 2022)

ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators. - Qiushi Li 002; Ju Ren 001; Xinglin Pan; Yuezhi Zhou; Yaoxue Zhang (ICDCS, 2022)

Exploring Potential and Feasibility of Binary Code Sharing in Mobile Computing. - Chao Wu 002; Lan Zhang 002; Zhenhua Li 001; Qiushi Li 002; Yaoxue Zhang (IEEE Trans. Cloud Comput., 2022)

Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators. - Qiushi Li 002; Ju Ren 001; Yan Zhang 104; Chengru Song; Yiqiao Liao; Yaoxue Zhang (DAC, 2023)

Confidential Federated Learning for Heterogeneous Platforms against Client-Side Privacy Leakages. - Qiushi Li 002; Yan Zhang 104 (ACM TUR-C, 2024)

You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks. - Qiushi Li 002; Yan Zhang 104; Ju Ren 001; Qi Li 002; Yaoxue Zhang (NDSS, 2024)

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting. - Zhuo Chen; Zhenya Ma; Yan Zhang 073; Donghua Cai; Ye Zhang 033; Qiushi Li 002; Yongheng Deng; Ye Guo; Ju Ren 001; Xuemin Shen (CoRR, 2025)

DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models. - Ye Zhang 033; Yongheng Deng; Sheng Yue 001; Qiushi Li 002; Ju Ren 001 (IEEE Trans. Mob. Comput., 2025)

PeriNet: Periodic Deep Learning Framework for Modality-Agnostic Privacy Preserving. - Yan Zhang 104; Yihong Song; Manzhou Li; Qiushi Li 002; Qi Li 002; Ju Ren 001 (WWW, 2026)

Nappa: NNA-Compatible and Privacy-Preserving DNN Training Framework via Vector Decomposition. - Yan Zhang 002; Qiushi Li 002; Ju Ren 001; Yiqiao Liao; Jin Ouyang; Chengru Song; Honghuan Wu; Kaiqiao Zhan; Ben Wang; Xu Chen 004; Yaoxue Zhang (IEEE Trans. Dependable Secur. Comput., 2026)

Mosaic: Cross-Modal Clustering for Efficient Video Understanding. - Tuowei Wang; He Zhou; Chengru Song; Qiushi Li 002; Ju Ren 001 (CoRR, 2026)