Shi-Yu Huang

Title: Innovations of Shi-Yu Huang

Introduction

Shi-Yu Huang is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of machine learning and circuit design, holding a total of eight patents. His work focuses on enhancing the efficiency and accuracy of chain diagnosis in circuit designs.

Latest Patents

One of his latest patents is titled "Input Data Compression for Machine Learning-Based Chain Diagnosis." This technology involves injecting faults into scan chains within a circuit design. Simulations are conducted on the fault-injected circuit design to identify test response patterns. The observed failing bit patterns are determined by comparing the unloaded test response patterns with those from a functioning machine. Bit-reduction techniques are applied to these patterns to create training samples for machine-learning models aimed at identifying faulty scan cells. The bit reduction includes both pattern-based and cycle-based compression methods, as well as bit-filtering to retain only sensitive bits on faulty scan chains.

Another notable patent is "Multi-Stage Machine Learning-Based Chain Diagnosis." Similar to his previous work, this technology also involves fault injection into scan chains. It focuses on constructing first training samples through bit-reduction of observed failing bit patterns. First-level machine-learning models are trained using these samples, and affine scan cell groups are identified. Second training samples are prepared through bit-filtering, leading to the training of second-level machine-learning models. This multi-stage approach enhances the accuracy of chain diagnosis processes.

Career Highlights

Shi-Yu Huang has worked with esteemed organizations such as Tsinghua University and Siemens Industry Software GmbH. His experience in these institutions has allowed him to collaborate on various innovative projects that push the boundaries of technology.

Collaborations

Some of his notable coworkers include Kun-Han Tsai and Wu-Tung Cheng. Their collaborative efforts have contributed to the advancement of machine learning applications in circuit design.

Conclusion

Shi-Yu Huang's innovative work in machine learning and circuit design has led to significant advancements in chain diagnosis technology. His contributions are paving the way for more efficient and accurate diagnostic processes in the field.