Hao Zhao

Title: Hao Zhao - Innovator in Neural Network Technologies

Introduction

Hao Zhao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks, holding a total of 10 patents. His work focuses on enhancing the efficiency and effectiveness of neural network training and quantization.

Latest Patents

Hao Zhao's latest patents include innovative technologies such as "Joint training of neural networks using multi-scale hard example mining." This patent describes an apparatus that utilizes a convolutional neural network to process mini-batches of sample candidates, generating basic feature maps. The apparatus further includes a feature extractor and combiner to create concatenated feature maps, which are essential for scoring candidate samples based on multi-task loss scores.

Another notable patent is "Loss-error-aware quantization of a low-bit neural network." This invention outlines methods and systems for quantizing network weights while minimizing loss errors. The apparatus described partitions unquantized network weights into groups for quantization and retraining, ensuring that the resulting low-bit network model maintains high performance.

Career Highlights

Hao Zhao has worked with leading technology companies, including Intel Corporation and Thales Dis CPL USA, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in neural network technologies.

Collaborations

Hao Zhao has collaborated with talented individuals in his field, including Anbang Yao and Yurong Chen. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Hao Zhao is a distinguished inventor whose work in neural networks has the potential to revolutionize the field. His patents reflect a deep understanding of technology and a commitment to innovation.