27 citations · 35 across the 5 of their papers we have counts for
5 papers
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
Xiaoye Qian, Chao Zhang, Jaswanth Yella +3
The growing availability of the data collected from smart manufacturing is changing the paradigms of production monitoring and control. The increasing complexity and content of the…
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
Jaswanth Yella, Chao Zhang, Sergei Petrov +4
Over the last few decades, modern industrial processes have investigated several cost-effective methodologies to improve the productivity and yield of semiconductor manufacturing.…
GraSSNet: Graph Soft Sensing Neural Networks
Yu Huang, Chao Zhang, Jaswanth Yella +5
In the era of big data, data-driven based classification has become an essential method in smart manufacturing to guide production and optimize inspection. The industrial data obta…
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
Chao Zhang, Jaswanth Yella, Yu Huang +4
With the rapid development of AI technology in recent years, there have been many studies with deep learning models in soft sensing area. However, the models have become more compl…
IEEE BigData 2021 Cup: Soft Sensing at Scale
Sergei Petrov, Chao Zhang, Jaswanth Yella +3
IEEE BigData 2021 Cup: Soft Sensing at Scale is a data mining competition organized by Seagate Technology, in association with the IEEE BigData 2021 conference. The scope of this c…