Supported by Education Science Planning Project of Hubei Province(2020GB198);Natural Science Foundation of Hubei Province(2023AFB523).
This paper analyzes the generalization of minimax regret optimization(MRO)under distribution shift.A new learning framework is proposed by injecting the measure of con-ditional value at risk(CVaR)into MRO,and its gene...
supported by the National Natural Science Foundation of China(Nos.62002100,61902237);Key Research and Promotion Projects of Henan Province(Nos.232102240023,232102210063,222102210040).
Fingerprint features,as unique and stable biometric identifiers,are crucial for identity verification.However,traditional centralized methods of processing these sensitive data linked to personal identity pose signifi...
supported in part by the National Natural Science Foundation of China(Grant No.U19A2073).
1 Introduction Recently,multiple synthetic and real-world datasets have been built to facilitate the training of deep single-image reflection removal(SIRR)models.Meanwhile,diverse testing sets are also provided with d...
supported in part by China Mobile Research Fund of the Chinese Ministry of Education(Grant No.KEH2310029);Specific Research Fund of the Innovation Platform for Academicians of Hainan Province(Grant No.YSPTZX202314);supported by the Shanghai Key Research Laboratory of NSAI and the Joint Laboratory on Networked AI Edge Computing Fudan University-Changan.
People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems,healthcare services,and brain-computer interfaces.La...
supported in part by the Beijing Natural Science Foundation (Grant No. 1232025);the Ministry of Education Key Laboratory of Quantum Physics and Photonic Quantum Information (Grant No. ZYGX2024K020);Academy for Multidisciplinary Studies, Capital Normal University.
The interpretation of representations and generalization powers has been a long-standing challenge in the fields of machine learning(ML)and artificial intelligence.This study contributes to understanding the emergence...
Traditionally, simplification has been used in scientific modeling practices. However, recent advancements in deep learning techniques have provided a means to represent complex models. As a result, deep neural networ...
In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult...
supported by the National Key R&D Program of China(2022YFB3207100).
Microscopic imaging is a critical tool in scientific research,biomedical studies,and engineering applications,with an urgent need for system miniaturization and rapid,precision autofocus techniques.However,traditional...
supported by the National Science Fund for Distinguished Young Scholars of China(52025056);the China Postdoctoral Science Foundation(2023M732789);the China Postdoctoral Innovative Talents Support Program(BX20230290);the Fundamental Research Funds for the Central Universities(xzy012022062).
Intelligent machinery fault diagnosis methods have been popularly and successfully developed in the past decades,and the vibration acceleration data collected by contact accelerometers have been widely investigated.In...
supported by the National Natural Science Foundation of China(Nos.12101007,12371003);the Natural Science Foundation of Anhui Province(No.2008085QA06)。
Let Z/m Z be the ring of residual classes modulo m,and let A and B be nonempty subsets of Z/m Z.In this paper,the authors give the structure of A and B for which|A+B|=|A|+|B|-1=m-2.