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Kan Li

Orcid: 0000-0002-1618-919X

Affiliations:
  • University of Florida, Computational Neuro-Engineering Laboratory, Gainesville, FL, USA


According to our database1, Kan Li authored at least 17 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Schoenberg Kernel Loss for Spiking Neural Network Training.
[BibTeX]
[DOI]
Liyang Ru
,
Kan Li
,
José C. Príncipe
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
CoRR, 2024

2022
Functional Bayesian Filter.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
IEEE Trans. Signal Process., 2022

2021
Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
Frontiers Artif. Intell., 2021

2020
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
CoRR, 2020

2019
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
CoRR, 2019

2018
Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL).
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda).
[BibTeX]
[DOI]
Rishabh Singh
,
Kan Li
,
José C. Príncipe
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm.
[BibTeX]
[DOI]
Kan Li
,
José Carlos Príncipe
IEEE Trans. Signal Process., 2017

Automatic plant identification using stem automata.
[BibTeX]
[DOI]
Kan Li
,
Ying Ma
,
José C. Príncipe
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Flight dynamics modeling and recognition using finite state machine for automatic insect recognition.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
The Kernel Adaptive Autoregressive-Moving-Average Algorithm.
[BibTeX]
[DOI]
Kan Li
,
José C. Príncipe
IEEE Trans. Neural Networks Learn. Syst., 2016

Kernel Learning for Dynamic Texture Synthesis.
[BibTeX]
[DOI]
Xinge You
,
Weigang Guo
,
Shujian Yu
,
Kan Li
,
José C. Príncipe
,
Dacheng Tao
IEEE Trans. Image Process., 2016

A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference.
[BibTeX]
[DOI]
Lu Lu
,
Haiquan Zhao
,
Kan Li
,
Badong Chen
Circuits Syst. Signal Process., 2016

2015
Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex.
[BibTeX]
[DOI]
Kan Li
,
Salvador Dura-Bernal
,
Joseph T. Francis
,
William W. Lytton
,
José C. Príncipe
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2013
Kernel adaptive filtering with confidence intervals.
[BibTeX]
[DOI]
Kan Li
,
Badong Chen
,
José C. Príncipe
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013


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