Hi, I'm Xiaopeng Ke, a pragmatic person.
Hi, I'm Xiaopeng Ke, a pragmatic person.
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Short Bio
Short Bio
I am working for using some ML/Optimization methods to make the pricing strategy in Didi Chuxing Technology.
Recently, I focus on the bidding algorithm, advertisement recommendation system, and multi-agent reinforce learning.
You can reach me at mezereonxp@gmail.com or xiaopeng.ke@smail.nju.edu.cn. You can download my CV file by this link.
In 2019, I got my Bachelor’s degree in software engineering at NEU.
In 2023, I got my Master's degree in Computer Science and Technology at NJU.
News
News
One paper is accepted to ECML-PKDD 2025!
One paper is accepted to TIFS 2025!
Publications
Publications
Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Coupon Strategies
Fanzhou Shi, Xiaopeng Ke, Xinye Xiong, Kexin Meng, Chang Men, Zhengdan Zhu
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (ECML-PKDD 2025, CCF-B)
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
Transactions on Information Forensics and Security. (TIFS 2025, CCF-A)
Privacy-Preserving Federated Learning via Dataset Distillation
ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao Wu, Sheng Zhong, Fengyuan Xu
2024 Arxiv:2410.19548
RE-DLC: Learning-driven Reverse Engineering for Deep Learning Compilers
Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu and Liming Fang
The 35th IEEE International Symposium on Software Reliability Engineering. (ISSRE 2024, CCF-B)
CAPter: Controllable Data Privacy Enhancement for Deep Learning Inference Services
Shimao Xu, Xiaopeng Ke, Hao Wu
The 21st IEEE International Conference on Ubiquitous Intelligence and Computing. (UIC 2024, CCF-C)
TIM: Enabling Large-scale White-Box Testing on In-App Deep Learning Models
Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong
Transactions on Information Forensics & Security. (TIFS 2024, CCF-A)
GAPter: Gray-box Data Protector for Deep Learning Inference Services at User Side
Wu Hao, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, and Sheng Zhong.
2023 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP 2023, CCF-B)
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.
2022 IEEE/ACM International Symposium on Quality of Service. (IWQoS 2022, CCF-B)
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
2022 Arxiv:2205.07228
Towards Practical and Efficient Long Video Summary
Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, and Sheng Zhong.
2022 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP 2022, CCF-B)
Efficient Architecture Paradigm for Deep Learning Inference as a Service
Jin Yu, Xiaopeng Ke, Fengyuan Xu, and Hao Huang.
39th IEEE International Performance Computing and Communications Conference. (IPCCC 2020, CCF-C)
Experiences
Experiences
ATEC Competition Season-II: Digital Currency Transaction Fraud Identification (Rank 4)
ACM MM2021 AIC Phase VII：Robust defense competition for e-commerce logo detection (21/36489)
Release a project "AnomalyDetectTool" at github with 85 stars.
Architecture Department of Xiaomi Company, Engineer Intern, Advised by Fu Wang, Mar 2018 - June 2018
Northeastern University, Undergraduate Student, Sept 2016 - June 2019
Awards
Awards
National Second Prize in Mathmatical Modeling Competition 2018
Huawei Named Scholarship 2018
Outstanding School League Members 2017
Third Prize of China Steel Mobile Application Innovation Contest 2017
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