Xiaopeng Ke

According to our database, Xiaopeng Ke authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NoveltyAgent: Autonomous Novelty Reporting Agent with Point-wise Novelty Analysis and Self-Validation.

Jiajun Hou, Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Xiaopeng Ke, Min Zhang

CoRR, March, 2026

2025

Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking.

Xiaopeng Ke, Yihan Yu, Ruyue Zhang, Zhishuo Zhou, Fangzhou Shi, Chang Men, Zhengdan Zhu

CoRR, November, 2025

A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling.

Ruyue Zhang, Xiaopeng Ke, Ming Liu, Fangzhou Shi, Chang Men, Zhengdan Zhu

CoRR, November, 2025

Towards Adversarially Robust Deep Metric Learning.

Xiaopeng Ke

CoRR, January, 2025

DeepVMUnProtect: Neural Network-Based Recovery of VM-Protected Android Apps for Semantics-Aware Malware Detection.

Xin Zhao, Mu Zhang, Xiaopeng Ke, Yu Pan, Yue Duan, Sheng Zhong, Fengyuan Xu

IEEE Trans. Inf. Forensics Secur., 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs.

Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training.

Jun Rao, Zepeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2024

FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg.

ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao Wu, Sheng Zhong, Fengyuan Xu

CoRR, 2024

REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers.

Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu, Liming Fang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023

GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side.

Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Automation Slicing and Testing for in-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong

CoRR, 2022

Privacy-Preserving and Robust Federated Deep Metric Learning.

Yulong Tian, Xiaopeng Ke, Zeyi Tao, Shaohua Ding, Fengyuan Xu, Qun Li, Hao Han, Sheng Zhong, Xinyi Fu

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Towards Practical and Efficient Long Video Summary.

Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Efficient Architecture Paradigm for Deep Learning Inference as a Service.

Jin Yu, Xiaopeng Ke, Fengyuan Xu, Hao Huang

Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020