supported by the National Natural Science Foundation of China(11725415 and 11934001);the Ministry of Science and Technology of China(2018YFA0305601 and2016YFA0301004);by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB28000000);supported in part by the Center for Chemistry in Solution and at Interfaces(CSI)at Princeton University,funded by the DOE Award DE-SC0019394。
Despite their rich information content,electronic structure data amassed at high volumes in ab initio molecular dynamics simulations are generally under-utilized.We introduce a transferable high-fidelity neural networ...
supported by the National Basic Research 973 Program of China under Grant No.2015CB352202;the National Natural Science Foundation of China under Grant Nos.61690204,61802170,and 61872340;the Guangdong Science and Technology Department under Grant No.2018B010107004;the Natural Science Foundation of Guangdong Province of China under Grant No.2019A1515011689;the Overseas Grant of the State Key Laboratory of Novel Software Technology under Grant No.KFKT2018A16。
The adoption of deep neural network(DNN)model as the integral part of real-world software systems necessitates explicit consideration of their quality-of-service(QoS).It is well-known that DNN models are prone to adve...
This work was supported partly by China Scholarship Council(201706020062);by China 973 program(2015CB358700);by the National Natural Science Foundation of China(Grant Nos.61772059,61421003);by the Beijing Advanced Innovation Center for Big Data and Brain Computing(BDBC);State Key Laboratory of Software Development Environment(SKLSDE-2018ZX-17).
An iterative procedure introduced in MacKay’s evidence framework is often used for estimating the hyperparameter in empirical Bayes.Together with the use of a particular form of prior,the estimation of the hyperparam...
supported by GRF(Grant No.16203518);Hong Kong RGC(Grant Nos.16208614,T22-603/15N);Hong Kong ITC(Grant No.PSKL12EG02);National Basic Research Program of China(973 Program)(Grant No.2012CB316300)
Dear editor,For semantic segmentation tasks,convolutional neural net work(CNN)based methods have been prevalent for both 2D image semantic segmentation and 3D semantic segmentation.Though traditional methods often use...
supported by the State Key Program of the National Natural Science Foundation of China (31130022,31320103903, 31271037 & 31670988);the International Cooperation in Science and Technology Project of the Ministry of Science and Technology of China (2014DFA30640);the National Ministry of Education Special Fund for Excellent Doctoral Dissertation (201356);the Special Fund for Excellent Doctoral Dissertation of Beijing (20111000601);the Special Funds for Beijing Base Construction & Talent Cultivation (171100002217066)
The present study aimed to explore the potential of the sodium hyaluronate-CNTF (ciliary neurotrophic factor) scaffold in activating endogenous neurogenesis and facilitating neural network re-formation after the adult...
supported by National Basic Research Program of China (973 Program) (Grant No. 2014CB340506);National Natural Science Foundation of China (Grant Nos. 61632011, 61370164)
Sentiment collocation refers to the collocation of a target word and a polarity word. Sentiment collocation extraction aims to extract the targets and their modifying polarity words by analyzing the relation- ships be...
supported by the National Basic Research Program of China(973 Program)(No.2012CB821200,No.2012CB821206);the National Natural Science Foundation of China(No.61320106006,No.61532006,No.61502042)
Deep network has been proven efficient and robust to capture object features in some conditions.It still remains in the stage of classifying or detecting objects.In the field of visual tracking,deep network has not be...
supported in part by the National Basic Research Program of China(No.2012CB316400);National Natural Science Foundation of China(Nos.61472353 and 61572431);China Knowledge Centre for Engineering Sciences and Technology,the Fundamental Research Funds for the Central Universities;2015 Qianjiang Talents Program of Zhejiang Province;supported in part by the US NSF(No.CCF1017828)
In this paper, we propose an approach for generating rich fine-grained textual descriptions of images. In particular, we use an LSTM-in-LSTM(long short-term memory) architecture, which consists of an inner LSTM and an...
supported by the National Basic Research Program of China (No. 2014CB744804)
Numerical approach of hybrid laminar flow control (HLFC) is investigated for the suc- tion hole with a width between 0.5 mm and 7 mm. The accuracy of Menter and Langtry's transition model applied for simulating the...
Project(2013CB035402) supported by the National Basic Research Program of China;Projects(51105048,51209028) supported by the National Natural Science Foundation of China
In order to deal with modeling problem of a pressure balance system with time-delay, nonlinear, time-varying and uncertain characteristics, an intelligent modeling procedure is proposed, which is based on artificial n...