Location History:
- Jiangsu, CN (2014)
- Nanjing, CN (2019)
Company Filing History:
Years Active: 2014-2024
Title: Innovations of Cheng Huang
Introduction
Cheng Huang is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of technology, particularly in the development of hardware accelerators and signal processing systems. With a total of three patents to his name, Huang's work showcases his expertise and innovative spirit.
Latest Patents
One of Cheng Huang's latest patents is a "Deep neural network hardware accelerator based on power exponential quantization." This invention includes an AXI-4 bus interface, input and output cache areas, a weighting cache area, and a configurable state controller module. The design utilizes shift operations to replace floating point multiplication, which reduces the requirements for computing resources and enhances calculation efficiency.
Another notable patent is the "Self-reconfigurable returnable mixer." This device features a self-reconfigurable transconductance stage that converts RF voltage signals into RF current. The innovative design allows for high-linearity IF gain while maintaining a high bandwidth for RF signals, effectively addressing the challenges faced in conventional returnable structures.
Career Highlights
Cheng Huang is affiliated with Southeast University, where he continues to advance his research and development efforts. His work has garnered attention for its practical applications and contributions to the field of electronics and signal processing.
Collaborations
Cheng Huang collaborates with esteemed colleagues such as Jianhui Wu and Meng Zhang. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in technology.
Conclusion
Cheng Huang's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His innovative designs and commitment to research continue to influence advancements in hardware acceleration and signal processing.