financial support partly by the National Nature Science Foundation of China(Grant No.12171053,11701040,11871010&61871058);the Fundamental Research Funds for the Central Universities,and the Research Funds of Renmin University of China(No.23XNKJ05);the financial support partly by the National Nature Science Foundation of China(Grant No.11871010,11971040);the Fundamental Research Funds for the Central Universities(No.2019XD-A11).
In this paper,we focus on a control-constrained stochastic LQ optimal control problem via backward stochastic differential equation(BSDE in short)with deterministic coefficients.One of the significant features in this...
supported by National Natural Science Foundation of China(no.62376240).
Software defect prediction aims to use measurement data of code and historical defects to predict potential problems,optimize testing resources and defect management.However,current methods face challenges:(1)Coarse-g...
supported by the National Natural Science Foundation of China(Grant No.11971101).
Let B^(H)be a fractional Brownian motion with Hurst index 1/2≤H<1.In this paper,we consider the self-repelling diffusion X_(t)^(H)=B_(t)^(H)+∫_(0)^(t)∫_(0)^(s)g(u)dX_(u)^(H)ds+vt.wherc v∈R,and g is a nonncgative B...
supported by National Key Research and Development Program of China under Grant No.2022YFA1006104;the National Natural Science Foundations of China under Grant Nos.12471419 and 12271304;the Natural Science Foundation of Shandong Province under Grant No.ZR2022JQ01。
This paper is concerned with the relationship between general maximum principle and dynamic programming principle for the stochastic recursive optimal control problem with jumps,where the control domain is not necessa...
This work was supported by the National Natural Science Foundation of China(No.51977080);the Natural Science Foundation of Guangdong Province(No.2022A1515010332).
As transmission power among interconnected re-gional grids is increasing rapidly,formulating the power distri-bution and maintenance schedules of multiple paralleled trans-mission channels is critical to ensure the se...
supported by the Gravitational-Wave Open Science Center,a service of LIGO Laboratory,the LIGO Scientific Collaboration,and the Virgo Collaboration;supported by the National Key Research and Development Program of China (Grant No.2021YFC2203001);the National Natural Science Foundation of China (Grants Nos.11920101003,12021003,12364024,and 11864014);the Natural Science Foundation of Jiangxi (Grant Nos.20224BAB211012,and 20224BAB201023)。
In our previous work [Physical Review D,2024,109(4):043009],we introduced MSNRnet,a framework integrating deep learning and matched filtering methods for gravitational wave(GW) detection.Compared with end-to-end class...
supported by the National Natural Science Foundation of China under Grant Nos.62025306,62122083,62303452,and T2293773;CAS Project for Young Scientists in Basic Research under Grant No.YSBR-008;China Postdoctoral Science Foundation under Grant No.2022M720159;Guozhi Xu Postdoctoral Research Foundation.
This paper focuses on the state estimate for a class of systems with both process noise and measurement noise under binary-valued observations,in which the Gaussian assumption on the predicted density of the state is ...
supported by the National Natural Science Foundation of China(Grant No.62071354);the Key Research and Development Program of Shaanxi(Grant No.2022ZDLGY05-08);the ISN State Key Laboratory.
Optimization-based radio resource management(RRM)has shown significant performance gains on high-throughput satellites(HTSs).However,as the number of allocable on-board resources increases,traditional RRM is difficult...
This paper presents a novel observer model that integrates quantum mechanics, relativity, idealism, and the simulation hypothesis to explain the quantum nature of the universe. The model posits a central server transm...
This work was supported by the National Natural Science Foundation of China(Grant No.61976074);the Zhejiang Provincial Natural Science Foundation of China(Grant No.LQ22F030022).
Single-image rain removal is an important problem in the field of computer vision aimed at recovering clean images from rainy images.In recent years,data-driven convolutional neural network(CNN)-based rain removal met...