Kernel adaptive filtering with confidence intervals. - Kan Li 002; Badong Chen; José C. Príncipe (IJCNN, 2013)

Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. - Kan Li 002; Salvador Dura-Bernal; Joseph T. Francis; William W. Lytton; José C. Príncipe (NER, 2015)

A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference. - Lu Lu 005; Haiquan Zhao 001; Kan Li 002; Badong Chen (Circuits Syst. Signal Process., 2016)

Kernel Learning for Dynamic Texture Synthesis. - Xinge You; Weigang Guo; Shujian Yu; Kan Li 002; José C. Príncipe; Dacheng Tao (IEEE Trans. Image Process., 2016)

The Kernel Adaptive Autoregressive-Moving-Average Algorithm. - Kan Li 002; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2016)

Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network. - Kan Li 002; José C. Príncipe (ICASSP, 2017)

Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. - Kan Li 002; José C. Príncipe (IJCNN, 2017)

Automatic plant identification using stem automata. - Kan Li 002; Ying Ma; José C. Príncipe (MLSP, 2017)

Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm. - Kan Li 002; José Carlos Príncipe (IEEE Trans. Signal Process., 2017)

Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda). - Rishabh Singh; Kan Li 002; José C. Príncipe (ICASSP, 2018)

Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). - Kan Li 002; José C. Príncipe (IJCNN, 2018)

No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features. - Kan Li 002; José C. Príncipe (CoRR, 2019)

Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. - Kan Li 002; José C. Príncipe (CoRR, 2020)

Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge. - Kan Li 002; José C. Príncipe (Frontiers Artif. Intell., 2021)

Functional Bayesian Filter. - Kan Li 002; José C. Príncipe (IEEE Trans. Signal Process., 2022)

Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. - Kan Li 002; José C. Príncipe (CoRR, 2024)

Schoenberg Kernel Loss for Spiking Neural Network Training. - Liyang Ru; Kan Li 002; José C. Príncipe (ICASSP, 2025)