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Faculties & Institutes
Faculty of Scien... [4]
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PUN CHI MAN [2]
HU GUANGHUI [1]
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Conference paper [1]
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A Linearized Structure-Preserving Numerical Scheme for a Gradient Flow Model of the Kohn-Sham Density Functional Theory
Journal article
Hu, Guanghui, Wang, Ting, Zhou, Jie. A Linearized Structure-Preserving Numerical Scheme for a Gradient Flow Model of the Kohn-Sham Density Functional Theory[J]. East Asian Journal on Applied Mathematics, 2023, 13(2), 299-319.
Authors:
Hu, Guanghui
;
Wang, Ting
;
Zhou, Jie
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
1.2
/
1.0
|
Submit date:2024/02/23
Adaptive Strategy
Gradient Flow Model
Kohn-sham Density Functional Theory
Linear Scheme
Structure-preserving
Adaptive Dynamic Programming in the Hamiltonian-Driven Framework
Book chapter
出自: Studies in Systems, Decision and Control:Springer Science and Business Media Deutschland GmbH, 2021, 页码:189-214
Authors:
Yang, Yongliang
;
Wunsch, Donald C.
;
Yin, Yixin
Favorite
|
TC[Scopus]:
0
|
Submit date:2022/05/13
Adaptive Dynamic Programming
Hamiltonian-driven Framework
Temporal Difference
Value Gradient Learning
Adversarial example generation with adaptive gradient search for single and ensemble deep neural network
Journal article
Xiao,Yatie, Pun,Chi Man, Liu,Bo. Adversarial example generation with adaptive gradient search for single and ensemble deep neural network[J]. Information Sciences, 2020, 528, 147-167.
Authors:
Xiao,Yatie
;
Pun,Chi Man
;
Liu,Bo
Favorite
|
TC[WOS]:
24
TC[Scopus]:
27
IF:
0
/
0
|
Submit date:2021/03/11
Deep Neural Networks
Adversarial Attack
Adaptive Gradient
Perturbation
Crafting adversarial example with adaptive root mean square gradient on deep neural networks
Journal article
Xiao,Yatie, Pun,Chi Man, Liu,Bo. Crafting adversarial example with adaptive root mean square gradient on deep neural networks[J]. NEUROCOMPUTING, 2020, 389, 179-195.
Authors:
Xiao,Yatie
;
Pun,Chi Man
;
Liu,Bo
Favorite
|
TC[WOS]:
6
TC[Scopus]:
9
IF:
5.5
/
5.5
|
Submit date:2021/03/11
Adversarial Example
Adaptive Gradient
Root Mean Square
Perturbation
Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS)
Conference paper
Wang,Jing, Chen,Philip, Ma,Zhenyuan, Xiao,Zhenghong. Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS)[C], 2018, 80-84.
Authors:
Wang,Jing
;
Chen,Philip
;
Ma,Zhenyuan
;
Xiao,Zhenghong
Favorite
|
TC[Scopus]:
2
|
Submit date:2021/03/09
Adaptive Neural-Fuzzy Inference Systems(ANFIS)
Fuzzy Inference Systems
Fuzzy Neural Networks
Gradient Descent
Neural Networks