Dae-Woong Jeong

Title: Dae-Woong Jeong: Innovator in Network Compression

Introduction

Dae-Woong Jeong is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of network compression, particularly through his innovative approaches to neural networks. His work is characterized by a focus on efficiency and effectiveness in data processing.

Latest Patents

Dae-Woong Jeong holds a patent for "Effective network compression using simulation-guided iterative pruning." This invention involves a method where an electronic device prunes a first neural network based on a threshold value, generates a second neural network, calculates gradients for each weighted value of the second neural network, and acquires a third neural network by applying the gradient to the first neural network. This process enhances the performance and efficiency of neural networks.

Career Highlights

Dae-Woong Jeong is currently associated with Nota, Inc., where he continues to develop innovative solutions in the realm of network technology. His expertise in neural networks and data compression has positioned him as a valuable asset in his field.

Collaborations

He has collaborated with notable colleagues, including Jaehun Kim and Young Seok Kim, contributing to various projects that aim to advance technology in network compression and artificial intelligence.

Conclusion

Dae-Woong Jeong's contributions to network compression through his patented methods demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the field and inspire future developments in neural networks.