Synaptic learning behaviors achieved by metal ion migration in a Cu/PEDOT: PSS/Ta memristor. - Wenqiang Luo; Fang-Yuan Yuan; Huaqiang Wu; Liyang Pan; Ning Deng 008; Fei Zeng; Rongshan Wei; Xuanjing Cai (NVMTS, 2015)

Pinning adaptive-impulsive consensus of the multi-agent systems with uncertain perturbation. - Wanli Guo; Wenqiang Luo (Neurocomputing, 2018)

A Novel S-Box Design Algorithm and fuzzy-PID controller Design for a 5-d Burke-Shaw System with Hidden Hyperchaos. - Qingxia Ma; Wenqiang Luo; Hadi Jahanshahi; Ünal Çavusoglu; Akif Akgul; Xianguang Lin (Mechatron. Syst. Control., 2019)

Osteoporosis Diagnosis Based on Ultrasound Radio Frequency Signal via Multi-channel Convolutional Neural Network. - Zhiwei Chen; Wenqiang Luo; Qi Zhang 003; Baiying Lei; Tianfu Wang 001; Zhong Chen; Yuan Fu; Peidong Guo; Changchuan Li; Teng Ma; Yue Ding 007; Jiang Liu 001 (EMBC, 2021)

Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. - Chunmei Xia; Yue Ding 007; Jionglin Wu; Wenqiang Luo; Peidong Guo; Tianfu Wang 001; Baiying Lei (CLIP@MICCAI, 2022)

Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples. - Lin Zhao 011; Wenqiang Luo; Qiming Liao; Siyuan Chen; Jianhui Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Rate-Distortion Optimization for Adaptive Gradient Quantization in Federated Learning. - Guojun Chen; Lu Yu; Wenqiang Luo; Yinfei Xu; Tiecheng Song (WCNC, 2023)

Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis. - Yicheng Sun; Jacky Keung; Jingyu Zhang; Hi Kuen Yu; Wenqiang Luo; Shuo Liu (COMPSAC, 2024)

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair. - Wenqiang Luo; Jacky Wai Keung; Boyang Yang; He Ye; Claire Le Goues; Tegawendé F. Bissyandé; Haoye Tian; Bach Le 001 (CoRR, 2024)

Rate distortion optimization for adaptive gradient quantization in federated learning. - Guojun Chen; Kaixuan Xie; Wenqiang Luo; Yinfei Xu; Lun Xin; Tiecheng Song; Jing Hu 002 (Digit. Commun. Networks, 2024)

Joint negative-positive-learning based sample reweighting for hyperspectral image classification with label noise. - Qiming Liao; Lin Zhao 011; Wenqiang Luo; Xinping Li; Guoyun Zhang (Pattern Recognit. Lett., 2024)

Purified Contrastive Learning With Global and Local Representation for Hyperspectral Image Classification. - Lin Zhao 011; Jia Li; Wenqiang Luo; Er Ouyang; Jianhui Wu 002; Guoyun Zhang; Wujin Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Unlocking LLM Repair Capabilities in Low-Resource Programming Languages Through Cross-Language Translation and Multi-Agent Refinement. - Wenqiang Luo; Jacky Wai Keung; Boyang Yang; Tegawendé F. Bissyandé; Haoye Tian; Bach Le 001 (CoRR, 2025)