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Kang Zhang - IEEE Xplore Author Profile

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Author details

Kang Zhang

Publications

8

Citations

20

Publications by Year

20192024

Co-Authors:

Lijia ChenWeichu ChenHongjun ChuHaizhuo HeIn So Kweon

Show All Co-Authors (19)

Kang Zhang

Affiliation

Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Publication Topics

American Sign Language,
Hand Movements,
Human-computer Interaction,
Multiple-input Multiple-output,
Short-time Fourier Transform,
Sign Language,
Sign Language Recognition,
Accuracy Of Network,
Antenna Array,
Antenna Position,
Aperture,
Attention Mechanism

Biography

Kang Zhang received the B.S. degree from the Harbin Institute of Technology, 2020. He is currently pursuing the Ph.D. degree with the Korea Advanced Institute of Science and Technology. His research work focuses on deep learning, self-supervised learning, and adversarial machine learning.(Based on document published on 21 March 2024).

Publications

8

Citations

20

Publications by Year

20192024

Co-Authors:

Lijia Chen
Weichu Chen
Hongjun Chu
Haizhuo He
In So Kweon

Show All Co-Authors (19)

Author's Published Works

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Showing 1-8 of 8 results

Conferences (6)

Journals (2)

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Single Year
Kang Zhang(8)
Shengchang Lan(7)
Linting Ye(4)
Guiyuan Zhang(3)
Gang Lu(2)
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, Korea(1)
School of Electronic and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China(1)
National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi’an, China(1)
China Academy of Information and Communications Technology(1)
Dept. Microwave Enginnering, Harbin Institute of Technology, Harbin, China(1)
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting(1)
2019 International Symposium on Antennas and Propagation (ISAP)(1)
2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)(1)
2020 14th European Conference on Antennas and Propagation (EuCAP)(1)
2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)(1)
IEEE(8)
Atlanta, GA, USA(2)
Copenhagen, Denmark(1)
Harbin, China(1)
Singapore, Singapore(1)
Xi'an, China(1)
Convolutional Layers(4)
Convolutional Neural Network(4)
American Sign Language(3)
Doppler Radar(3)
Gesture Recognition(3)

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Results

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution

Axi Niu;Trung X. Pham;Kang Zhang;Jinqiu Sun;Yu Zhu;Qingsen Yan;In So Kweon;Yanning Zhang

IEEE Transactions on Broadcasting

Year: 2024 | Volume: 70, Issue: 2 | Journal Article |

Cited by: Papers (5)

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Diffusion models have gained significant popularity for image-to-image translation tasks. Previous efforts applying diffusion models to image super-resolution have demonstrated that iteratively refining pure Gaussian noise using a U-Net architecture trained on denoising at various noise levels can yield satisfactory high-resolution images from low-resolution inputs. However, this iterative refinem...Show More

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution

Axi Niu;Trung X. Pham;Kang Zhang;Jinqiu Sun;Yu Zhu;Qingsen Yan;In So Kweon;Yanning Zhang

IEEE Transactions on Broadcasting

Year: 2024 | Volume: 70, Issue: 2 | Journal Article |

Applying mmWave Radar Sensors to Vocabulary-Level Dynamic Chinese Sign Language Recognition for the Community With Deafness and Hearing Loss

Shengchang Lan;Linting Ye;Kang Zhang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 22 | Journal Article |

Cited by: Papers (2)

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To facilitate human–computer interaction (HCL) for the community with deafness and hearing loss (D&HL), this article explored the feasibility of recognizing a vocabulary of dynamic Chinese sign language (CSL) based on millimeter-wave (mmWave) radar sensors within the scope of data science. Fundamental problems that challenge its applications on computers and other electronic devices were addressed...Show More

Applying mmWave Radar Sensors to Vocabulary-Level Dynamic Chinese Sign Language Recognition for the Community With Deafness and Hearing Loss

Shengchang Lan;Linting Ye;Kang Zhang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 22 | Journal Article |

Overview of Electromagnetic Representation and Interpretation of Sign Language Semantics

Haizhuo He;Hongjun Chu;Rui Pan;Linting Ye;Kang Zhang;Weichu Chen;Peng Zhang;Shengchang Lan

2022 IEEE MTT-S International Wireless Symposium (IWS)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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Sign language, as the main means of communication used by hearing-impaired people, is an indispensable part for them to better integrate into a harmonious society. At the same time, the all-round development of today's society urgently needs to build a bridge for the hearing impaired to communicate with the society, create a barrier-free environment, and increase the degree of socialization of the...Show More

Overview of Electromagnetic Representation and Interpretation of Sign Language Semantics

Haizhuo He;Hongjun Chu;Rui Pan;Linting Ye;Kang Zhang;Weichu Chen;Peng Zhang;Shengchang Lan

2022 IEEE MTT-S International Wireless Symposium (IWS)

Year: 2022 | Volume: 1 | Conference Paper |

Attention-Augmented Electromagnetic Representation of Sign Language for Human-Computer Interaction in Deaf-and-Mute Community

Shengchang Lan;Linting Ye;Kang Zhang

2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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In order to provide a new interface between computers and deaf-and-dumb users, this paper proposed a method of translating sign language into a sequence of time-frequency spectrograms based on a 24 GHz 1T-2R Doppler radar sensor. By processing two pairs of the immediate frequency I/Q signals based on time-frequency analysis, a complete sign sentence can be captured and segmented according to the e...Show More

Attention-Augmented Electromagnetic Representation of Sign Language for Human-Computer Interaction in Deaf-and-Mute Community

Shengchang Lan;Linting Ye;Kang Zhang

2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

Year: 2021 | Conference Paper |

Temporal-Range-Doppler Features Interpretation and Recognition of Hand Gestures Using mmW FMCW Radar Sensors

Guiyuan Zhang;Shengchang Lan;Kang Zhang;Linting Ye

2020 14th European Conference on Antennas and Propagation (EuCAP)

Year: 2020 | Conference Paper |

Cited by: Papers (10)

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This paper introduced a comparative study of using deep neural networks in non-contact hand gesture recognition based on millimeter wave FMCW radar. Range-doppler maps are processed with a zero-filling strategy to boost the range and velocity information of gesture motions. Two optimal types of deep neural networks, 3D-CNN and CNN-LSTM are respectively constructed to reveal the temporal gesture mo...Show More

Temporal-Range-Doppler Features Interpretation and Recognition of Hand Gestures Using mmW FMCW Radar Sensors

Guiyuan Zhang;Shengchang Lan;Kang Zhang;Linting Ye

2020 14th European Conference on Antennas and Propagation (EuCAP)

Year: 2020 | Conference Paper |

Implementation of C4.5 decision tree in Human Gesture Recognition based on Doppler radars

Guiyuan Zhang;Kang Zhang;Yihan Yun;Gang Lu;Shengchang Lan

2019 International Symposium on Antennas and Propagation (ISAP)

Year: 2019 | Conference Paper |

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In order to improve the accuracy of gesture recognition, we investigate the feasibility of using a three-dimensional Doppler-radar array at 24GHz to recognize human gestures with a model consisted of ten classical gestures. On the basis of C4.5 algorithm, phase difference and spectral energy, extracted by correlation processing and power integral, are used as the features to construct decision tre...Show More

Implementation of C4.5 decision tree in Human Gesture Recognition based on Doppler radars

Guiyuan Zhang;Kang Zhang;Yihan Yun;Gang Lu;Shengchang Lan

2019 International Symposium on Antennas and Propagation (ISAP)

Year: 2019 | Conference Paper |

A Modified Vivaldi Antenna with Low Self-reflectivity for Bone Health Detection

Gang Lu;Shengchang Lan;Kang Zhang;Lijia Chen;Weichu Chen

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

Year: 2019 | Conference Paper |

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In this paper, a modified Vivaldi antenna with low self-reflectivity working at 1-4 GHz is designed to improve the radiation gain by opening rectangular grooves and loading parasitic patches on the surface of the radiating patch. In order to support bone detection and reduce the self-reflectivity of the antenna, the influence of the loading resistance at the end of the antenna on the reflected sig...Show More

A Modified Vivaldi Antenna with Low Self-reflectivity for Bone Health Detection

Gang Lu;Shengchang Lan;Kang Zhang;Lijia Chen;Weichu Chen

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

Year: 2019 | Conference Paper |

A Real-time Hand Gesture Recognition System using 24 GHz Radar Array

Guiyuan Zhang;Kang Zhang;Shengchang Lan;Yuanxun Liu;Lijia Chen

2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

Year: 2019 | Conference Paper |

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This paper presents a description of a real-time hand gesture recognition system. This system consists of three commercial modules perpendicular mounted in an three-dimensional array to provide six-channel baseband I/Q signals. The I/Q signals are pre-processed by the doppler signal amplitude threshold detection and spectral analysis. A convolutional neural network consisting in two convolutional ...Show More

A Real-time Hand Gesture Recognition System using 24 GHz Radar Array

Guiyuan Zhang;Kang Zhang;Shengchang Lan;Yuanxun Liu;Lijia Chen

2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

Year: 2019 | Conference Paper |

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