Xiaopeng Ke - RankMe

19 papers A* 1A 1B 1C 1Misc 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NoveltyAgent: Autonomous Novelty Reporting Agent with Point-wise Novelty Analysis and Self-Validation. CoRR Jiajun Hou, Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Xiaopeng Ke, Min Zhang
2025	J	`jnl`	A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling. CoRR Ruyue Zhang, Xiaopeng Ke, Ming Liu, Fangzhou Shi, Chang Men, Zhengdan Zhu
2025	—	`conf`	APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. ACL (Findings) Jun Rao, ZePeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
2025	J	`jnl`	APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. CoRR Jun Rao, ZePeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
2025	A*	`conf`	AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. EMNLP Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
2025	J	`jnl`	AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. CoRR Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
2025	J	`jnl`	Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking. CoRR Xiaopeng Ke, Yihan Yu, Ruyue Zhang, Zhishuo Zhou, Fangzhou Shi, Chang Men, Zhengdan Zhu
2025	J	`jnl`	DeepVMUnProtect: Neural Network-Based Recovery of VM-Protected Android Apps for Semantics-Aware Malware Detection. IEEE Trans. Inf. Forensics Secur. Xin Zhao, Mu Zhang, Xiaopeng Ke, Yu Pan, Yue Duan, Sheng Zhong, Fengyuan Xu
2025	—	`conf`	Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies. ECML/PKDD (10) Fangzhou Shi, Xiaopeng Ke, Xinye Xiong, Kexin Meng, Chang Men, Zhengdan Zhu
2025	J	`jnl`	Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies. CoRR Fangzhou Shi, Xiaopeng Ke, Xinye Xiong, Kexin Meng, Chang Men, Zhengdan Zhu
2025	J	`jnl`	Towards Adversarially Robust Deep Metric Learning. CoRR Xiaopeng Ke
2024	J	`jnl`	FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg. CoRR ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao Wu, Sheng Zhong, Fengyuan Xu
2024	A	`conf`	REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers. ISSRE Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu, Liming Fang
2024	J	`jnl`	TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. IEEE Trans. Inf. Forensics Secur. Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong
2023	Misc	`conf`	GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side. ICASSP Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, Sheng Zhong
2022	J	`jnl`	Automation Slicing and Testing for in-App Deep Learning Models. CoRR Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong
2022	B	`conf`	Privacy-Preserving and Robust Federated Deep Metric Learning. IWQoS Yulong Tian, Xiaopeng Ke, Zeyi Tao, Shaohua Ding, Fengyuan Xu, Qun Li, Hao Han, Sheng Zhong, Xinyi Fu
2022	Misc	`conf`	Towards Practical and Efficient Long Video Summary. ICASSP Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong
2020	C	`conf`	Efficient Architecture Paradigm for Deep Learning Inference as a Service. IPCCC Jin Yu, Xiaopeng Ke, Fengyuan Xu, Hao Huang