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document
Chen, Cong (author), Batselier, K. (author), Yu, Wenjian (author), Wong, Ngai (author)
Tensor, a multi-dimensional data structure, has been exploited recently in the machine learning community. Traditional machine learning approaches are vector- or matrix-based, and cannot handle tensorial data directly. In this paper, we propose a tensor train (TT)-based kernel technique for the first time, and apply it to the conventional...
journal article 2022
document
Zhong, Yuan (author), Xia, Mao (author), Chen, Zhi (author), Gao, Peixing (author), Hintzen, H.T.J.M. (author), Wong, Wai Yeung (author), Wang, Jing (author), Zhou, Zhi (author)
Phosphors with high quantum efficiency and thermal stability are greatly desired for lighting industries. Based on the design strategy of solid solution, a series of deep-blue-emitting phosphors (Sr<sub>0.99-x</sub>Ba<sub>x</sub>)<sub>2</sub>P<sub>2</sub>O<sub>7</sub>:0.02Eu<sup>2+</sup> (SB<sub>x</sub>PE x = 0–0.5) are developed. Upon...
journal article 2020
document
Ko, Ching Yun (author), Chen, Cong (author), He, Zhuolun (author), Zhang, Yuke (author), Batselier, K. (author), Wong, Ngai (author)
Sum-product networks (SPNs) constitute an emerging class of neural networks with clear probabilistic semantics and superior inference speed over other graphical models. This brief reveals an important connection between SPNs and tensor trains (TTs), leading to a new canonical form which we call tensor SPNs (tSPNs). Specifically, we...
journal article 2020
document
Chen, Cong (author), Batselier, K. (author), Ko, Ching Yun (author), Wong, Ngai (author)
A restricted Boltzmann machine (RBM) learns a probability distribution over its input samples and has numerous uses like dimensionality reduction, classification and generative modeling. Conventional RBMs accept vectorized data that dismiss potentially important structural information in the original tensor (multi-way) input. Matrix-variate...
conference paper 2019
document
Chen, Cong (author), Batselier, K. (author), Ko, Ching Yun (author), Wong, Ngai (author)
There has been growing interest in extending traditional vector-based machine learning techniques to their tensor forms. Support tensor machine (STM) and support Tucker machine (STuM) are two typical tensor generalization of the conventional support vector machine (SVM). However, the expressive power of STM is restrictive due to its rank-one...
conference paper 2019
document
Tang, H. (author), Ye, H. (author), Wong, K.Y. (author), Leung, Stanley Y.Y. (author), Fan, Jiajie (author), Chen, Xianping (author), Fan, Xuejun (author), Zhang, Kouchi (author)
The objective of this study is to quantitatively evaluate the impacts of LED components on the overdriving reliability of high power white LED chip scale packages (CSPs). The reliability tests under room temperature are conducted over 1000 h in this study on CSP LEDs with overdriving currents. A novel method is proposed to investigate the...
journal article 2017
document
Ye, H. (author), Leung, Stanley Y.Y. (author), Wong, K.Y. (author), Chen, Xianping (author), Lin, Kai (author), Fan, J. (author), Kjelstrup, Signe (author), Fan, Xuejun (author), Zhang, Kouchi (author)
Using the analogue of the electric inductance, we reveal the properties of the thermal inductance in GaN-based light-emitting diode devices by testing their transient thermal behaviors. We find that the devices exhibit a transient thermal response under step-down or step-up currents and observe notable inductive phenomena of the temperature...
journal article 2016
document
Hilal, S. (author), Xin, X. (author), Ang, S.L. (author), Tan, C.S. (author), Venketasubramanian, N. (author), Niessen, W.J. (author), Vrooman, H. (author), Wong, T.Y. (author), Chen, C. (author), Ikram, M.K. (author)
Cortical thickness has been suggested to be one of the most important markers of cortical atrophy. In this study, we examined potential risk factors of cortical thickness and its association with cognition in an elderly Asian population from Singapore. This is a cross-sectional study among 572 Chinese and Malay patients from the ongoing...
journal article 2015
document
Chen, X. (author), Yuan, C. (author), Wong, C.K.Y. (author), Zhang, G. (author)
A molecular modeling strategy is proposed to describe the temperature (T) dependence of solubility parameter (?) for the amorphous polymers which exhibit glass-rubber transition behavior. The commercial forcefield “COMPASS” is used to support the atomistic simulations of the polymer. The temperature dependence behavior of ? for the polymer is...
journal article 2011
document
Chen, X.P. (author), Wong, C.K.Y. (author), Yuan, C.A. (author), Zhang, G.Q. (author)
We report a molecular modeling study to evaluate and select conducting polymers (CPs) as the sensing materials of carbon dioxide (CO2) sensor. The interaction between polymer and gas and the adsorption of the gas molecules in the polymer matrix are investigated. Polymers considered for this work include emeraldine base polyaniline (EB–PANI) and...
journal article 2011
document
Chen, X. (author), Yuan, C.A. (author), Wong, K.Y. (author), Zhang, G.Q. (author)
Molecular dynamics (MD) and molecular mechanical (MM) analysis are carried out to provide reliable and accurate model for emeraldine base polyaniline. This study validate the forcefields and model with the physical and mechanical properties of the polyaniline. The temperature effects on non-bond energy, potential energy and solubility parameter...
journal article 2010
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