A5103267427- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Global trade and economics
- World Systems and Global Transformations
- China's Socioeconomic Reforms and Governance
- Metallurgy and Material Forming
- Hand Gesture Recognition Systems
- Non-Destructive Testing Techniques
- Advanced Vision and Imaging
- Fatigue and fracture mechanics
- Human Pose and Action Recognition
- Belt and Road Initiative
- Structural Integrity and Reliability Analysis
- Gait Recognition and Analysis
- International Business and FDI
Nanjing University of Science and Technology
2024
Chongqing University
2023
Peking University
2004-2013
Beijing International Studies University
2013
Civil Aviation University of China
1999
Abstract With the expansion and deepening of globalization, as well China's entry into World Trade Organization, nexus between economic growth national security has gained prominence in China since mid-1990s. How to ensure socio-economic while maintaining its robust is now most serious concern Chinese Communist Party (CCP) government. This paper addresses three questions: first, it explores why how transformation two separate logics a single domain evolved conceptually over past decades...
Video generative models are receiving particular attention given their ability to generate realistic and imaginative frames. Besides, these also observed exhibit strong 3D consistency, significantly enhancing potential act as world simulators. In this work, we present Vidu4D, a novel reconstruction model that excels in accurately reconstructing 4D (i.e., sequential 3D) representations from single generated videos, addressing challenges associated with non-rigidity frame distortion. This...
With the rise of smart devices, there is an escalating need for lightweight methods in human pose estimation (HPE). Although existing 2D HPE techniques have demonstrated impressive performance on public datasets, they still suffer from high model complexity and latency issues practical applications. To address challenge, this paper proposes a novel approach HPE. By utilizing shuffle blocks instead traditional ResNet, we significantly reduce size computational requirements. Moreover, our...
Lots of fault transfer diagnosis methods have been presented to bring the gap between source domain and target domain. Nevertheless, most them only pay attention marginal adaptation (MDA), while ignoring conditional (CDA) class levels. Additionally, universal CDA mechanisms greatly rely on quality pseudo label target-domain samples. To deal with above issues, an enhanced deep joint distribution alignment (DJDA) mechanism is proposed comprehensively achieve MDA CDA. In DJDA, a new discrepancy...