Vibration Measurement With Video Processing Based on Alternating Optimization of Frequency and Phase Shifts. - Jiwen Zhou; Hongguang Li; Li Zhang 121; Xiaojian Wang; Yun Li (IEEE Trans. Instrum. Meas., 2021)

Instantaneous Frequency Tracking for Polynomial Phase Signals Based on Extended Kalman Filter. - Jiwen Zhou; Yun Li; Wendi Zhang; Hongguang Li; Jie Bian (ICSPCC, 2022)

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. - Tianshi Che; Ji Liu 003; Yang Zhou 001; Jiaxiang Ren 001; Jiwen Zhou; Victor S. Sheng; Huaiyu Dai; Dejing Dou (EMNLP, 2023)

Model Updating and Force Identification from Phase-Based Motion Measurements. - Wendi Zhang; Jiwen Zhou; Xiaojian Wang; Jinhong Wang; Hongguang Li; Guang Meng (SENSORS, 2023)

A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism. - Zhiyu Chen; Yu Li; Suochao Zhang; Jingbo Zhou; Jiwen Zhou; Chenfu Bao; Dianhai Yu (CoRR, 2024)

A Novel Parameter Estimation Method for Polynomial Phase Signals via Adaptive EKF. - Huagui Du; Yongping Song; Jiwen Zhou; Chongyi Fan; Xiaotao Huang 001 (IEEE Internet Things J., 2024)

Dual teacher-student network with feature calibration and dynamic consistency for semi-supervised medical image segmentation. - Jiwen Zhou; Fabien Pfaender; Wanyu Liu (Biomed. Signal Process. Control., 2025)

A geometry and saliency driven network with adaptive label refinement for weakly supervised medical image segmentation. - Jiwen Zhou; Wanyu Liu (Digit. Signal Process., 2025)

A confidence-guided Unsupervised domain adaptation network with pseudo-labeling and deformable CNN-transformer for medical image segmentation. - Jiwen Zhou; Yue Xu; Zinan Liu; Fabien Pfaender; Wanyu Liu (Neural Networks, 2025)