Location History:
- Taoyuan County, TW (2016)
- Taoyuan, TW (2020 - 2022)
- New Taipei, TW (2017 - 2023)
Company Filing History:
6 out of 407 
1 out of 9,150 
Years Active: 2016-2023
Title: Innovations and Contributions of Inventor Jia-Ching Wang
Introduction
Jia-Ching Wang is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of technology, particularly in machine learning and signal processing. With a total of 7 patents to his name, Wang's work has had a substantial impact on various applications.
Latest Patents
Wang's latest patents include a source separation method, apparatus, and non-transitory computer-readable medium. This innovation utilizes Atrous Spatial Pyramid Pooling (ASPP) to reduce the number of parameters in a model and enhance computational speed. By replacing conventional upsampling with a conversion between time and depth, he has introduced a receptive field preserving decoder. Additionally, the incorporation of temporal attention with a dynamic convolution kernel further optimizes the separation process.
Another notable patent is a machine learning method and device. This method involves receiving an input signal and performing normalization before transmitting it to a convolutional layer. A sparse coding layer follows the convolutional layer, utilizing dictionary atoms to reconstruct signals based on the normalized input. This innovative approach allows for the refreshing of dictionary atoms with mini-batch inputs.
Career Highlights
Wang has worked with esteemed institutions such as National Central University and the Industrial Technology Research Institute. His experience in these organizations has contributed to his expertise and the development of his innovative patents.
Collaborations
Some of his notable coworkers include Chien-Yao Wang and Chang-Hong Lin. Their collaboration has likely fostered an environment of creativity and innovation, leading to advancements in their respective fields.
Conclusion
Jia-Ching Wang's contributions to technology through his patents and collaborations highlight his role as a significant inventor. His work continues to influence advancements in machine learning and signal processing.