| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
J. Supercomput.
|
| 2025 | J | jnl |
IET Comput. Vis.
|
| 2024 | J | jnl |
Multim. Tools Appl.
|
| 2024 | A | conf |
ESEM
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Int. J. Mach. Learn. Cybern.
|
| 2023 | — | conf |
DMSVIVA
|
| 2023 | J | jnl |
J. Vis. Lang. Comput.
|
| 2023 | — | conf |
KSEM (1)
|
| 2023 | — | conf |
DMSVIVA
|
| 2023 | J | jnl |
Intell. Data Anal.
|
| 2023 | J | jnl |
IEEE Access
|
| 2023 | J | jnl |
Entropy
|
| 2022 | J | jnl |
Multim. Tools Appl.
|
| 2022 | — | conf |
DMSVIVA
|
| 2022 | — | conf |
DMSVIVA
|
| 2022 | C | conf |
SEKE
|
| 2022 | J | jnl |
Connect. Sci.
|
| 2022 | J | jnl |
Connect. Sci.
|
| 2022 | J | jnl |
J. Electronic Imaging
|
| 2022 | J | jnl |
Multim. Tools Appl.
|
| 2021 | J | jnl |
Neural Comput. Appl.
|
| 2021 | J | jnl |
Neural Process. Lett.
|
| 2021 | J | jnl |
Comput. J.
|
| 2021 | J | jnl |
Appl. Intell.
|
| 2021 | J | jnl |
KSII Trans. Internet Inf. Syst.
|
| 2020 | — | conf |
DMSVIVA
|
| 2020 | Misc | conf |
ICMLC
|
| 2020 | J | jnl |
Int. J. Bifurc. Chaos
|
| 2020 | J | jnl |
KSII Trans. Internet Inf. Syst.
|
| 2020 | — | conf |
ICMTEL (2)
|
| 2019 | — | conf |
ICBDS
|
| 2019 | J | jnl |
KSII Trans. Internet Inf. Syst.
|
| 2019 | J | jnl |
An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning.
Neural Networks
|
| 2019 | — | conf |
DMSVIVA
|
| 2019 | J | jnl |
J. Vis. Lang. Comput.
|
| 2019 | C | conf |
VINCI
|
| 2019 | J | jnl |
IEEE Access
|
| 2018 | J | jnl |
Neurocomputing
|
| 2018 | J | jnl |
Softw. Pract. Exp.
|
| 2018 | J | jnl |
J. Vis. Lang. Comput.
|
| 2018 | — | conf |
DMSVIVA
|
| 2018 | J | jnl |
J. Vis. Lang. Sentient Syst.
|
| 2018 | J | jnl |
Inf.
|
| 2018 | — | conf |
IWISC
|
| 2018 | J | jnl |
Spatial Cogn. Comput.
|
| 2018 | J | jnl |
计算机科学
|
| 2017 | J | jnl |
IEEE Trans. Neural Networks Learn. Syst.
|
| 2017 | C | conf |
VINCI
|
| 2016 | J | jnl |
A unified associative memory model based on external inputs of continuous recurrent neural networks.
Neurocomputing
|
| 2016 | J | jnl |
Comput. Electr. Eng.
|
| 2015 | J | jnl |
Neurocomputing
|
| 2015 | Misc | conf |
ICMLC
|
| 2015 | J | jnl |
J. Syst. Softw.
|
| 2015 | — | conf |
CICSyN
|
| 2014 | J | jnl |
Comput. J.
|
| 2014 | J | jnl |
J. Assoc. Inf. Sci. Technol.
|
| 2014 | J | jnl |
Neurocomputing
|
| 2013 | J | jnl |
Neural Comput.
|
| 2013 | J | jnl |
Neural Networks
|
| 2013 | J | jnl |
Neurocomputing
|
| 2013 | J | jnl |
IEEE Trans. Neural Networks Learn. Syst.
|
| 2012 | — | conf |
ICIC (2)
|
| 2012 | — | conf |
CICSyN
|
| 2012 | — | conf |
DEXA Workshops
|
| 2012 | — | conf |
ICDIP
|
| 2012 | J | jnl |
IEEE Trans. Neural Networks Learn. Syst.
|
| 2011 | — | conf |
SoCPaR
|
| 2011 | Misc | conf |
GrC
|
| 2011 | C | conf |
CIS
|
| 2011 | — | conf |
DEXA (2)
|
| 2011 | — | conf |
BNCOD
|
| 2010 | B | conf |
IJCNN
|
| 2010 | — | conf |
VTC Fall
|
| 2010 | J | jnl |
Sci. China Inf. Sci.
|
| 2010 | C | conf |
KSEM
|
| 2010 | J | jnl |
Int. J. Softw. Eng. Knowl. Eng.
|
| 2009 | B | conf |
SMC
|
| 2009 | J | jnl |
Neural Comput. Appl.
|
| 2009 | J | jnl |
Inf. Process. Manag.
|
| 2009 | C | conf |
VINCI
|
| 2008 | C | conf |
IDEAL
|
| 2008 | J | jnl |
Pattern Recognit.
|
| 2008 | C | conf |
ISMIS
|
| 2008 | C | conf |
APWeb
|
| 2007 | B | conf |
IJCNN
|
| 2007 | B | conf |
SMC
|
| 2006 | J | jnl |
IEEE Trans. Neural Networks
|
| 2006 | J | jnl |
Neural Comput.
|
| 2006 | J | jnl |
Neurocomputing
|
| 2006 | J | jnl |
ACM Trans. Comput. Hum. Interact.
|
| 2006 | B | conf |
IJCNN
|
| 2005 | B | conf |
VL/HCC
|
| 2005 | Misc | conf |
ICMLC
|
| 2003 | J | jnl |
Neural Comput.
|
| 2003 | B | conf |
SMC
|
| 2001 | A* | conf |
IJCAI
|
| 2001 | J | jnl |
IEEE Trans. Neural Networks
|
| 2000 | B | conf |
SMC
|