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Minjiang Li

Publications
3
Citations
19
Publications by Year
20182022
Co-Authors:
Show All Co-Authors (11)
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Minjiang Li

Affiliation

AVIC Aeronautical Radio Electronics Research Institute, Shanghai, China

Publication Topics

Biography

Minjiang Li received the B.S. degree in microelectronics engineering and the M.S. degree in microelectronics and solid-state electronics from Fudan University, Shanghai, China, in 2017 and 2020, respectively. He is currently working at the AVIC Aeronautical Radio Electronics Research Institute as a Design Engineer. His research interests include VLSI design, algorithms, and VLSI architectures for multimedia signal processing.(Based on document published on 22 November 2021).
Publications
3
Citations
19
Publications by Year
20182022
Co-Authors:
Show All Co-Authors (11)
Author's Published Works

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A High Throughput and Energy Efficient Lepton Hardware Encoder With Hash-Based Memory Optimization

Xiao Yan;Zhixiong Di;Bowen Huang;Minjiang Li;Wenqiang Wang;Xiaoyang Zeng;Yibo Fan

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2022 | Volume: 32, Issue: 7 | Journal Article |
Cited by: Papers (2)
Although it has been surpassed by many subsequent coding standards, JPEG occupies a large storage share of the current data hosting service. To reduce the storage costs, DropBox proposed a secondary lossless compression algorithm, Lepton, to further improve the compression rate of JPEG images. However, the bloated probability models defined by Lepton severely restrict its throughput and energy eff...Show More

A High Throughput and Energy Efficient Lepton Hardware Encoder With Hash-Based Memory Optimization

Xiao Yan;Zhixiong Di;Bowen Huang;Minjiang Li;Wenqiang Wang;Xiaoyang Zeng;Yibo Fan

Year: 2022 | Volume: 32, Issue: 7 | Journal Article |

A Hardware Friendly Haze Removal Method and Its Implementation

Minjiang Li;Mingxu Cui;Jun Chi;Xiaoyang Zeng;Minge Jing;Yibo Fan

2020 IEEE International Conference on Consumer Electronics (ICCE)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
The images captured in hazy weather are always affected by haze, hence image dehazing has become a hot field in image processing. However, the existing dehazing algorithms are hard to be implemented on hardware to speed up because of high computational complexity. In this paper, we propose a novel hardware friendly image dehazing method to improve the image quality and save the execution time simu...Show More

A Hardware Friendly Haze Removal Method and Its Implementation

Minjiang Li;Mingxu Cui;Jun Chi;Xiaoyang Zeng;Minge Jing;Yibo Fan

Year: 2020 | Conference Paper |

A Compact and Configurable Long Short-Term Memory Neural Network Hardware Architecture

Kewei Chen;Leilei Huang;Minjiang Li;Xiaoyang Zeng;Yibo Fan

2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018 | Conference Paper |
Cited by: Papers (16)
Neural network has been one of the most useful techniques in the area of image analysis and speech recognition in recent years. Long Short-Term Memory (LSTM), a popular type of recurrent neural networks (RNNs), has widely been implemented on CPUs and GPUs. However, software implementation cannot offer large parallelism for the complicated computation of LSTM, and most of the LSTM hardware implemen...Show More

A Compact and Configurable Long Short-Term Memory Neural Network Hardware Architecture

Kewei Chen;Leilei Huang;Minjiang Li;Xiaoyang Zeng;Yibo Fan

Year: 2018 | Conference Paper |

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