Efficient Architecture Paradigm for Deep Learning Inference as a Service. - Jin Yu; Xiaopeng Ke; Fengyuan Xu; Hao Huang (IPCCC, 2020)

Towards Practical and Efficient Long Video Summary. - Xiaopeng Ke; Boyu Chang; Hao Wu 067; Fengyuan Xu; Sheng Zhong 002 (ICASSP, 2022)

Privacy-Preserving and Robust Federated Deep Metric Learning. - Yulong Tian; Xiaopeng Ke; Zeyi Tao; Shaohua Ding; Fengyuan Xu; Qun Li 001; Hao Han; Sheng Zhong 002; Xinyi Fu (IWQoS, 2022)

Automation Slicing and Testing for in-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li 003; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (CoRR, 2022)

GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side. - Hao Wu 067; Bo Yang; Xiaopeng Ke; Siyi He; Fengyuan Xu; Sheng Zhong 002 (ICASSP, 2023)

REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers. - Minghui Li; Yang Li 103; Hao Han; Xiaopeng Ke; Tongyu Wang; Fengyuan Xu; Liming Fang 001 (ISSRE, 2024)

FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg. - ShiMao Xu; Xiaopeng Ke; Xing Su; Shucheng Li; Hao Wu 067; Sheng Zhong 002; Fengyuan Xu (CoRR, 2024)

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2024)

APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. - Jun Rao; Zepeng Lin; Xuebo Liu 002; Xiaopeng Ke; Lian Lian; Dong Jin; Shengjun Cheng; Jun Yu; Min Zhang 005 (ACL (Findings), 2025)

DeepVMUnProtect: Neural Network-Based Recovery of VM-Protected Android Apps for Semantics-Aware Malware Detection. - Xin Zhao; Mu Zhang 001; Xiaopeng Ke; Yu Pan; Yue Duan; Sheng Zhong 002; Fengyuan Xu (IEEE Trans. Inf. Forensics Secur., 2025)

Towards Adversarially Robust Deep Metric Learning. - Xiaopeng Ke (CoRR, 2025)

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies. - Fangzhou Shi; Xiaopeng Ke; Xinye Xiong; Kexin Meng; Chang Men; Zhengdan Zhu (CoRR, 2025)

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. - Xiaopeng Ke; Hexuan Deng; Xuebo Liu 002; Jun Rao; Zhenxi Song; Jun Yu; Min Zhang 005 (CoRR, 2025)