activity
20132024
most citedA 2.0 Gb/s Throughput Decoder for QC-LDPC Convolutional Codes

41 citations · 49 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2024

An Edge AI System Based on FPGA Platform for Railway Fault Detection

Jiale Li, Yulin Fu, Dongwei Yan +2

As the demands for railway transportation safety increase, traditional methods of rail track inspection no longer meet the needs of modern railway systems. To address the issues of…

cs.AR2024★ 1 cited

A Novel Computing Paradigm for MobileNetV3 using Memristor

Jiale Li, Zhihang Liu, Sean Longyu Ma +2

The increasing computational demands of deep learning models pose significant challenges for edge devices. To address this, we propose a memristor-based circuit design for MobileNe…

cs.IT2023

Joint Source-Channel Coding System for 6G Communication: Design, Prototype and Future Directions

Xinchao Zhong, Sean Longyu Ma, Hong-fu Chou +3

The goal of semantic communication is to surpass optimal Shannon's criterion regarding a notable problem for future communication which lies in the integration of collaborative eff…

cs.CV2021★ 1 cited

Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation

Xu Zheng, Chong Fu, Haoyu Xie +3

Semi-supervised learning has made significant strides in the medical domain since it alleviates the heavy burden of collecting abundant pixel-wise annotated data for semantic segme…

cs.IT2021

Hardware Architecture of Layered Decoders for PLDPC-Hadamard Codes

Peng W. Zhang, Francis C. M. Lau, Chiu-W. Sham

Protograph-based low-density parity-check Hadamard codes (PLDPC-HCs) are a new type of ultimate-Shannon-limit-approaching codes. In this paper, we propose a hardware architecture f…

cs.IT2021

Spatially Coupled PLDPC-Hadamard Convolutional Codes

Peng W. Zhang, Francis C. M. Lau, Chiu-W. Sham

We propose a new type of ultimate-Shannon-limit-approaching codes called spatially coupled protograph-based low-density parity-check Hadamard convolutional codes (SC-PLDPCH-CCs), w…

cs.CV2021★ 1 cited

An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes

Longyu Ma, Chiu-Wing Sham, Chun Yan Lo +1

Extracting and analyzing iris textures for biometric recognition has been extensively studied. As the transition of iris recognition from lab technology to nation-scale application…

cs.CV2021

A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning

Wenchao Zhang, Chong Fu, Xiangshi Chang +3

Modeling implicit feature interaction patterns is of significant importance to object detection tasks. However, in the two-stage detectors, due to the excessive use of hand-crafted…

cs.IT2020★ 5 cited

Protograph-Based Low-Density Parity-Check Hadamard Codes

Peng W. Zhang, Francis C. M. Lau, Chiu-W. Sham

In this paper, we propose a new method to design low-density parity-check Hadamard (LDPC-Hadamard) codes, a type of ultimate-Shannon-limit approaching channel codes. The technique…

cs.CV2020

Joint Object Contour Points and Semantics for Instance Segmentation

Wenchao Zhang, Chong Fu, Mai Zhu

The attributes of object contours has great significance for instance segmentation task. However, most of the current popular deep neural networks do not pay much attention to the…

cs.IT2013★ 41 cited

A 2.0 Gb/s Throughput Decoder for QC-LDPC Convolutional Codes

Chiu-Wing Sham, Xu Chen, Francis C. M. Lau +2

This paper propose a decoder architecture for low-density parity-check convolutional code (LDPCCC). Specifically, the LDPCCC is derived from a quasi-cyclic (QC) LDPC block code. By…