Xiaojie Zhang

Title: Innovations of Xiaojie Zhang in LDPC Decoding

Introduction: Xiaojie Zhang is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of coding theory, particularly in the area of Low-Density Parity-Check (LDPC) codes. His innovative approach to decoding methods has garnered attention in the research community.

Latest Patents: Xiaojie Zhang holds a patent for a "Fast mapping method for layered min-sum decoding of LDPC codes." This method focuses on performing LDPC decoding through layered min-sum decoding using a Tanner graph that includes check nodes and variable nodes. The technique involves quantizing messages passed between nodes in a non-uniform manner. Specifically, values below a certain threshold are uniformly quantized, while those above the threshold are quantized non-uniformly. An inverse-quantization process is also defined to complement this method.

Career Highlights: Xiaojie Zhang is currently employed at Tidal Systems, Inc., where he continues to develop innovative solutions in the field of coding theory. His work has been instrumental in advancing the efficiency and effectiveness of LDPC decoding methods.

Collaborations: One of Xiaojie Zhang's notable collaborators is Yingquan Wu, who is also a talented professional in the field. Their partnership has contributed to the development of cutting-edge technologies in LDPC decoding.

Conclusion: Xiaojie Zhang's contributions to the field of LDPC decoding exemplify the impact of innovative thinking in technology. His patent and ongoing work at Tidal Systems, Inc. highlight the importance of advancements in coding theory.