Neidio i’r brif dudalen lywio
Neidio i chwilio
Neidio i’r prif gynnwys
Prifysgol Aberystwyth Hafan
Cymorth a Chwestiynau Cyffredin
English
Welsh
Hafan
Ymchwilwyr
Sefydliadau
Allbwnau Ymchwil
Traethodau Ymchwil
Effeithiau
Setiau Data
Prosiectau
Offerau
Y Wasg/Cyfryngau
Gweithgareddau
Gwobrau
Chwilio yn ôl arbenigedd, enw neu gysylltiad
Cysylltu ag arbenigwr
Jungong Han
Prof
Honorary Professor
,
Adran Cyfrifiadureg
Ffôn
01970 628531
E-bost
juh22
aber.ac
uk
2015
2025
Allbwn ymchwil fesul blwyddyn
Trosolwg
Ôl bys
Rhwydwaith
Ymchwilwyr
(7)
Allbwnau Ymchwil
(73)
Prosiectau
(1)
Proffiliau Tebyg
(6)
Gwaith dan Oruchwyliaeth
(1)
Allbwn ymchwil
Allbwn Ymchwil fesul blwyddyn
2015
2021
2022
2023
2025
57
Erthygl
6
Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)
4
Cyfraniad arall
3
Papur
3
Mwy
2
Erthygl Adolygu
1
Erthygl olygyddol
Allbwn Ymchwil fesul blwyddyn
Allbwn Ymchwil fesul blwyddyn
4 canlyniad
Blwyddyn Gyhoeddi, Teitl
(disgynnol)
Blwyddyn Gyhoeddi, Teitl
(esgynnol)
Teitl
Math
Hidlydd
Cyfraniad arall
Canlyniadau chwilio
2022
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising: THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
Intelligence, A. A. A., Xiang, L., Zhou, J., Liu, J., Wang, Z., Huang, H., Hu, J.,
Han, J.
, Guo, Y. & Ding, G.,
2022
,
9 t.
Allbwn ymchwil
:
Cyfraniad arall
Networks
100%
Artificial Intelligence
75%
Mobile Device
50%
Experimental Result
25%
Computational Cost
25%
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
Ding, X., Chen, H., Zhang, X.,
Han, J.
& Ding, G.,
2022
,
10 t.
IEEE Press.
Allbwn ymchwil
:
Cyfraniad arall
Multilayer Perceptron
100%
Simulation Mode
75%
Image Segmentation
50%
Modeling
25%
Accuracy
25%
60
Dyfyniadau (Scopus)
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
Ding, X., Zhang, X.,
Han, J.
& Ding, G.,
2022
,
13 t.
IEEE Press.
Allbwn ymchwil
:
Cyfraniad arall
Convolutional Neural Network
100%
Transformer
42%
Model
42%
Design
42%
Simulation Mode
42%
809
Dyfyniadau (Scopus)
2021
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Ding, X., Zhang, X.,
Han, J.
& Ding, G.,
2021
,
10 t.
Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRis, Beijing, Peoples R China
Allbwn ymchwil
:
Cyfraniad arall
Block
100%
Image Classification
80%
Convolutional Neural Network
80%
Time
60%
Inference
60%
333
Dyfyniadau (Scopus)