Pengfei Zhang

According to our database, Pengfei Zhang authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Locally Differentially Private Truth Discovery Over Data Streams.

Pengfei Zhang, Zhikun Zhang, Yang Cao, Shaowei Wang, Xiang Cheng, Ji Zhang

IEEE Trans. Mob. Comput., June, 2026

Locally Differentially Private Truth Discovery for Sparse Crowdsensing.

Pengfei Zhang, Zhikun Zhang, Yang Cao, Xiang Cheng, Youwen Zhu, Zhiquan Liu, Ji Zhang

IEEE Trans. Knowl. Data Eng., February, 2026

Uncertainty-aware in-context learning for joint entity and relation extraction.

Xingyi Li, Xiang Cheng, Mingshuo Chen, Pengfei Zhang, Sen Su

Inf. Fusion, 2026

Multimodal sentiment analysis with temporal semantics self-supervised multi-task learning and single-modality label generation.

Meng Zhang, Ruixin Pu, Bing Wei, Pengfei Zhang, Shudong Zhang, Haoming Liu

Expert Syst. Appl., 2026

PrivSV: Differentially Private Steering Vector for Large Language Models.

Haocheng Yang, Xiang Cheng, Chenhao Sun, Pengfei Zhang, Sen Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models.

Jun Feng, Shuhong Wu, Hong Sun, Pengfei Zhang, Bocheng Ren, Shunli Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model.

Jun Feng, Hong Sun, Pengfei Zhang, Bocheng Ren, Shunli Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Numerical Data Collection Under Input-Discriminative Local Differential Privacy.

Youwen Zhu, Shibo Dai, Pengfei Zhang, Xiqi Kuang

IEEE Trans. Knowl. Data Eng., December, 2025

Privacy-Preserving Recommendations With Mixture Model-Based Matrix Factorization Under Local Differential Privacy.

Pengfei Zhang, Hong Sun, Zhikun Zhang, Xiang Cheng, Youwen Zhu, Ji Zhang

IEEE Trans. Ind. Informatics, July, 2025

Maximizing Area Coverage in Privacy-Preserving Worker Recruitment: A Prior Knowledge-Enhanced Geo-Indistinguishable Approach.

Pengfei Zhang, Xiang Cheng, Zhikun Zhang, Youwen Zhu, Ji Zhang

IEEE Trans. Inf. Forensics Secur., 2025

Horizontal multi-party data publishing via discriminator regularization and adaptive noise under differential privacy.

Pengfei Zhang, Xiang Fang, Zhikun Zhang, Xianjin Fang, Yining Liu, Ji Zhang

Inf. Fusion, 2025

Hyperbolic Prompt Learning for Incremental Event Detection with LLMs.

Xiujin Zhang, Wenxin Jin, Haotian Hong, Pengfei Zhang, Jiting Li, Kongjing Gu, Hao Peng, Li Sun

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

PRIMA: Privacy preserving Multi-dimensional Analytic Approach.

Yufei Wang, Xiang Cheng, Pengfei Zhang, Anxing Wei

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2023

Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition.

Pengfei Zhang, Xiang Cheng, Sen Su, Ning Wang

IEEE Trans. Big Data, June, 2023

PrivTDSI: A Local Differentially Private Approach for Truth Discovery via Sampling and Inference.

Pengfei Zhang, Xiang Cheng, Sen Su, Binyuan Zhu

IEEE Trans. Big Data, April, 2023

Effective truth discovery under local differential privacy by leveraging noise-aware probabilistic estimation and fusion.

Pengfei Zhang, Xiang Cheng, Sen Su, Ning Wang

Knowl. Based Syst., 2023

2022

Area coverage-based worker recruitment under geo-indistinguishability.

Pengfei Zhang, Xiang Cheng, Sen Su, Ning Wang

Comput. Networks, 2022