A fast adaptive reduced rank transformation for minimum variance beamforming. - Fei Huang; Weixing Sheng; Chengjun Lu; Xiaofeng Ma (Signal Process., 2012)

Deep Contrastive Graph Representation via Adaptive Homotopy Learning. - Rui Zhang 017; Chengjun Lu; Ziheng Jiao; Xuelong Li 001 (CoRR, 2021)

Robust kernel principal component analysis with optimal mean. - Pei Li; Wenlin Zhang; Chengjun Lu; Rui Zhang 017; Xuelong Li 001 (Neural Networks, 2022)

FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning. - Rishub Tamirisa; John Won; Chengjun Lu; Ron Arel; Andy Zhou (CoRR, 2023)

Unsupervised Graph Embedding via Adaptive Graph Learning. - Rui Zhang 017; Yunxing Zhang; Chengjun Lu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)