A5102149867- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Electrostatic Discharge in Electronics
- Integrated Circuits and Semiconductor Failure Analysis
- Plant pathogens and resistance mechanisms
- Neural dynamics and brain function
- Horticultural and Viticultural Research
- Augmented Reality Applications
- Plant-Microbe Interactions and Immunity
- Neural Networks and Applications
- Electromagnetic Compatibility and Noise Suppression
- Neuroscience and Neural Engineering
- Robotics and Sensor-Based Localization
- Semiconductor materials and devices
- Inertial Sensor and Navigation
Peking University
2011-2025
Huazhong Agricultural University
2024
Semiconductor Manufacturing International (China)
2013
Institute of Microelectronics
2011
Hebei University of Technology
2011
Accurate and real-time outdoor localization pose estimation are critical for various applications, including navigation, robotics, augmented reality. Apple’s ARKit, a leading AR platform, employs visual–inertial odometry (VIO) simultaneous mapping (SLAM) algorithms to enable estimation. However, ARKit-based systems face positional bias when the device’s camera is obscured, frequent issue in dynamic or crowded environments. This paper presents novel approach mitigate this limitation by...
Standard transmission line pulse (TLP) test system has been studied for evaluating ESD performance of semiconductor devices accurately. The impedance matching techniques in the standard can effectively eliminate waveform distortion, but increases power attenuation. Thus force imposed to device under is far less than energy TLP delivered. Most researchers tried solve problem by promoting charging voltage obtain high-current discharge source. In this paper, parallel (PTL) technique presented,...
Hybrid neural networks (HNNs), integrating the strengths of artificial (ANNs) and spiking (SNNs), provide a promising solution towards generic intelligence. There is prevailing trend designing unified SNN-ANN paradigm neuromorphic computing chips to support HNNs, but developing platforms advance systems equally essential. This paper presents PAIBoard platform, which designed facilitate implementation HNNs. The platform comprises three main components: upper computer, communication module,...
Spiking Neural Networks (SNNs) are typically regards as the third generation of neural networks due to their inherent event-driven computing capabilities and remarkable energy efficiency. However, training an SNN that possesses fast inference speed comparable accuracy modern artificial (ANNs) remains a considerable challenge. In this article, sophisticated modeling algorithm incorporating novel dynamic threshold adaptation mechanism is proposed. It aims eliminate spiking synchronization...
ESD enhancement for gate oxide failure across different power domains is proposed in this paper by analyzing a typical interface damage case. The curve and OBIRCH investigations go deep into chip internal circuit, thus several flow path corresponding solutions presented. In addition, the novel design idea troubleshooting method run through whole which draw inferences about other cases from one instance.