Hairong Liu

Title: Innovations by Hairong Liu

Introduction

Hairong Liu is a prominent inventor based in San Jose, California. He has made significant contributions to the field of neural architecture and translation technologies. With a total of four patents to his name, Liu's work focuses on enhancing efficiency and performance in computational processes.

Latest Patents

One of Liu's latest patents is titled "Resource-efficient neural architects." This invention addresses the challenges of Neural Architecture Search (NAS), which is often a labor-intensive process. Previous efforts in automated NAS primarily aimed at improving accuracy but did not adequately consider computational resource usage. Liu's Resource-Efficient Neural Architect (RENA) utilizes reinforcement learning with network embedding to create efficient, resource-constrained NAS. The RENA embodiments demonstrate the ability to discover novel architectures that maintain high performance even under tight resource constraints. For instance, on the CIFAR10 dataset, one embodiment achieved a test error of 2.95% with a compute intensity exceeding 100 FLOPs/byte, and 3.87% when the model size was under 3M parameters. Additionally, for the Google Speech Commands Dataset, the RENA embodiment achieved state-of-the-art accuracy without resource constraints, outperforming optimized architectures under tight resource limitations.

Another significant patent is "Systems and methods for simultaneous translation with integrated anticipation and controllable latency (STACL)." This invention presents a prefix-to-prefix framework for simultaneous translation that learns to anticipate in real-time. The framework includes effective 'wait-k' policy model embodiments, which allow for the generation of a target sentence concurrently with a source sentence while maintaining a predefined lag. Liu's framework achieves lower latency and improved quality compared to traditional full-sentence translation in multiple language pairs, including Chinese to English and German to English. Furthermore, a novel latency metric is introduced to address the shortcomings of previous metrics.

Career Highlights

Hairong Liu is currently employed at Baidu USA LLC, where he continues to innovate in the fields of artificial intelligence and machine learning. His work has garnered attention for its practical applications and contributions to advancing technology.

Collaborations

Liu collaborates with talented individuals such as Sanjeev Satheesh and Zhenyao Zhu, who contribute to his projects and research endeavors.

Conclusion

Hairong Liu's innovative patents and contributions to neural architecture and translation technologies highlight his significant impact on the field. His work not only