Cooperative Stereo Matching using Quaternion Wavlets and Top-Down Segmentation. - Yi Xu 001; Xiaokang Yang 001; Peifeng Zhang; Li Song 001; Leonardo Traversoni (ICME, 2007)

Multi-Scale Gabor Phase-Based Stereo Matching using Graph Cuts. - Peifeng Zhang; Yi Xu 001; Xiaokang Yang 001; Leonardo Traversoni (ICME, 2007)

Energy-Efficient Architecture for Embedded Software with Hard Real-Time Requirements in Partial Reconfigurable Systems. - Zhigang Gao; Guojun Dai; Peng Liu 027; Peifeng Zhang (ScalCom-EmbeddedCom, 2009)

A New Implementation Method of Timer for Periodic Tasks. - Zhigang Gao; Peifeng Zhang; Guojun Dai; Hong Zeng 002 (ScalCom-EmbeddedCom, 2009)

PIL: A Method to Improve Interrupt Latency in Real-Time Kernels. - Peifeng Zhang; Hong Li; Zhigang Gao (ScalCom-EmbeddedCom, 2009)

A new implementation method of timer for periodic tasks. - Zhigang Gao; Peifeng Zhang; Haixia Xia (J. Embed. Comput., 2011)

A method to improve interrupt latency in real-time OS kernels. - Hong Li; Qi Hu; Peifeng Zhang; Zhigang Gao (J. Embed. Comput., 2011)

Improving Tuberculosis Diagnostics Using Deep Learning and Mobile Health Technologies among Resource-Poor and Marginalized Communities. - Yu Cao 002; Chang Liu 033; Benyuan Liu; Maria J. Brunette; Ning Zhang; Tong Sun 007; Peifeng Zhang; Jesús Peinado; Epifanio Sanchez Garavito; Leonid Lecca Garcia; Walter H. Curioso (CHASE, 2016)

Targeted Mining of Rare High-Utility Patterns. - Peifeng Zhang; Jiahui Chen 002; Shicheng Wan; Wensheng Gan (IEEE Big Data, 2022)

Discovering Top-k Profitable Patterns for Smart Manufacturing. - Shicheng Wan; Jiahui Chen 002; Peifeng Zhang; Wensheng Gan; Tianlong Gu (WWW (Companion Volume), 2022)

Blockchain-based Dependable Task Offloading and Resource Allocation for IIoT via Multi-Agent Deep Reinforcement Learning. - Peifeng Zhang; Chi Xu 001; Changqing Xia; Xi Jin 001 (VTC Fall, 2023)

D3QN-Based Multi-Priority Computation Offloading for Time-Sensitive and Interference-Limited Industrial Wireless Networks. - Chi Xu 001; Peifeng Zhang; Haibin Yu; Yonghui Li 001 (IEEE Trans. Veh. Technol., 2024)

Towards Personalized Federated Learning via Contrastive-Augmented Local Memorization Retrieval. - Peifeng Zhang; Jiahui Chen 002 (ICASSP, 2025)

Intermediate features matter in prototype-guided personalized federated learning. - Peifeng Zhang; Jiahui Chen; Chunxiang Xiang; Huiwu Huang; Huaien Jiang; Kaixiang Yang (Inf. Fusion, 2025)

Digital-Twin-Assisted Intelligent Secure Task Offloading and Caching in Blockchain-Based Vehicular Edge Computing Networks. - Chi Xu 001; Peifeng Zhang; Xiaofang Xia; Linghe Kong; Peng Zeng 001; Haibin Yu (IEEE Internet Things J., 2025)

DSFedCon: Dynamic Sparse Federated Contrastive Learning for Data-Driven Intelligent Systems. - Zhengming Li; Jiahui Chen 002; Peifeng Zhang; Huiwu Huang; Guanbin Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Heterogeneity-Aware Clustering and Intra-Cluster Uniform Data Sampling for Federated Learning. - Jian Chen; Peifeng Zhang; Jiahui Chen 002; Terry Shue Chien Lau (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Dynamic Blockchain-Empowered Trustworthy End-Edge Collaborative Computing via Rotating Multi-Agent DRL. - Chi Xu 001; Peifeng Zhang; Haibin Yu; Yonghui Li 001 (IEEE Trans. Wirel. Commun., 2025)