Infrared and visible image fusion based on local gradient constraints. - Guosheng Lu; Chunming He; Lei Xu 028; Jinlei Ren; Guoxia Xu; Haiming Zhao (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Robust Sparse Low-rank Hypergraph Learning under Complex Noise. - Tianhao Cui; Lei Chen 011; Jie Xu; Lei Xu 028 (SMC, 2020)

Modeling Disease Progression via Weakly Supervised Temporal Multitask Matrix Completion. - Lingsheng Wang; Lei Xu 028; Ping Li; Siming Zha; Lei Chen 011 (SMC, 2020)

Tri-Structured-Sparsity Induced Joint Feature Selection and Classification for Hybrid Noise Resilient Multilabel Learning. - Lei Xu 028; Chuancheng Song; Lei Chen 011 (IEEE Access, 2020)

Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data. - Lei Xu 028; Hui Wu; Chunming He; Jun Wang 024; Changqing Zhang; Feiping Nie 001; Lei Chen 011 (Medical Image Anal., 2022)

Efficient Top-K Feature Selection Using Coordinate Descent Method. - Lei Xu 028; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (AAAI, 2023)

Semi-Supervised Top-k Feature Selection with a General Optimization Framework. - Lei Xu 028; Rong Wang 001; Feiping Nie 001; Jun Wu; Xuelong Li 001 (ICME, 2023)

Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy. - Lei Xu 028; Lei Chen 011; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (NeurIPS, 2023)