Zhihao Ma - IEEE Xplore Author Profile

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Author details

Zhihao Ma

Publications

2

Citations

4

Publications by Year

20232024

Co-Authors:

Kehai ChenLei DengZhufang KuangZhixun QiuYun Xue

Show All Co-Authors (6)

Zhihao Ma

Affiliation

Wechat Open Platform Department

Tencent

Guangzhou, China

Publication Topics

Attention Mechanism,
Graph Attention Network,
5-fold Cross-validation,
Aspect-based Sentiment Analysis,
Attention Scores,
Breadth-first Search,
Breast Cancer,
Characteristics Of circRNAs,
Complex Sentences,
Conditional Random Field,
Contrastive Loss,
Deep Features

Biography

Zhihao Ma received the B.S. degree in circuits and systems from South China Normal University, Guangzhou, China, in 2017.,He is currently a Senior Researcher with the WeChat Open Platform Security Team, Tencent, Guangzhou. His research interests include natural language processing and few-shot learning.(Based on document published on 15 August 2023).

Publications

2

Citations

4

Publications by Year

20232024

Co-Authors:

Kehai Chen
Lei Deng
Zhufang Kuang
Zhixun Qiu
Yun Xue

Show All Co-Authors (6)

Author's Published Works

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Showing 1-8 of 8 results

Conferences (7)

Magazines (1)

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Brenda Vilas Boas(8)
Wolfgang Zirwas(5)
Martin Haardt(4)
Aldebaro Klautau(2)
Sami Aldalahmeh(1)
Ilmenau University of Technology, Germany(4)
Nokia, Germany(3)
Federal University of Pará(1)
Division of Optical Technologies CPqD, Optical Communications Division Campinas, Brazil(1)
Universidade Federal do Para, Belem, PA, BR(1)
2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)(1)
2018 52nd Asilomar Conference on Signals, Systems, and Computers(1)
2021 IEEE International Conference on Communications Workshops (ICC Workshops)(1)
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)(1)
2023 IEEE International Conference on Communications Workshops (ICC Workshops)(1)
IEEE(8)
Rome, Italy(2)
Montreal, QC, Canada(1)
Oulu, Finland(1)
Pacific Grove, CA, USA(1)
Porto de Galinhas, Brazil(1)
Antenna Array(4)
Channel Estimation(4)
Channel Impulse Response(3)
Long Short-term Memory(3)
Massive MIMO(3)

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Ambiguity Subspace Resolution for Digital Twin Parameter Estimation

Wolfgang Zirwas;Brenda Vilas Boas;Lars Thiele

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2023 | Conference Paper |

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In this work, we analyze the limits of parameter estimation of multipath components like their amplitude, delay and/or phase. Especially challenging is the estimation of such parameters when the multipath components have a low relative delay, i.e., less than half a tap delay with respect to the discrete channel impulse response. We will introduce the concept of the ambiguity subspace, which indica...Show More

Ambiguity Subspace Resolution for Digital Twin Parameter Estimation

Wolfgang Zirwas;Brenda Vilas Boas;Lars Thiele

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2023 | Conference Paper |

Machine Learning Based Channel Prediction for NR Type II CSI Reporting

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

ICC 2023 - IEEE International Conference on Communications

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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The application of artificial intelligence and machine learning (AI/ML) into the wireless physical layer is under discussion at 3GPP. Channel state information (CSI) prediction is among the sub use cases being studied. In this work, we propose an AI/ML CSI predictor that aims to compensate the scheduling delays at the base station. The AI/ML CSI predictor operates at the user equipment side and ge...Show More

Machine Learning Based Channel Prediction for NR Type II CSI Reporting

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

ICC 2023 - IEEE International Conference on Communications

Year: 2023 | Conference Paper |

Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

ICC 2022 - IEEE International Conference on Communications

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Machine learning (ML) applications for wireless communications have gained momentum on the standardization discussions for 5G advanced and beyond. One of the biggest challenges for real world ML deployment is the need for labeled signals and big measurement campaigns. To overcome those problems, we propose the use of untrained neural networks (UNNs) for MIMO channel recreation/estimation and low o...Show More

Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

ICC 2022 - IEEE International Conference on Communications

Year: 2022 | Conference Paper |

Combining AI/ML and PHY Layer Rule Based Inference - Some First Results

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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In 3GPP New Radio (NR) Release 18 we see the first study item starting in May 2022, which will evaluate the potential of artificial intelligence and machine learning (AI/ML) methods for Radio Access Network (RAN) 1, i.e., for mobile radio PHY and MAC layer applications. We use the profiling method for an accurate iterative estimation of the parameters of the dominant multipath components, as it pr...Show More

Combining AI/ML and PHY Layer Rule Based Inference - Some First Results

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Year: 2022 | Conference Paper |

Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2021 | Conference Paper |

Cited by: Papers (6)

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Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrained radio frequency (RF) frontends has been proposed, as well as novel precoders, e.g., a multi-antenna, greedy, iterative and quantized precoding algorithm (MAGIQ). Nevertheless, the best performance of MAGIQ assumes ac...Show More

Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains

Brenda Vilas Boas;Wolfgang Zirwas;Martin Haardt

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2021 | Conference Paper |

Low Complexity Transform Coding for Millimeter Wave MIMO CSI Compression

Brenda Vilas Boas;Nilma Fonseca;Aldebaro Klautau;Nuria González-Prelcic

2018 52nd Asilomar Conference on Signals, Systems, and Computers

Year: 2018 | Conference Paper |

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Channel state information (CSI) obtained at the user equipment (UE) can be made available at the base stations (BS) using limited feedback strategies. The design of feedback techniques is critical in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems, due to the high dimension of the channel matrix. In this paper, we assume that the mmWave MIMO channel has been estimated, and d...Show More

Low Complexity Transform Coding for Millimeter Wave MIMO CSI Compression

Brenda Vilas Boas;Nilma Fonseca;Aldebaro Klautau;Nuria González-Prelcic

2018 52nd Asilomar Conference on Signals, Systems, and Computers

Year: 2018 | Conference Paper |

Parallel polyphase filtering for pulse shaping on high-speed optical communication systems

Ilan Sousa;Brenda Vilas Boas;Igor Freire;Aldebaro Klautau;Jacklyn D. Reis

2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)

Year: 2015 | Conference Paper |

Cited by: Papers (2) | Patents (1)

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The requirement of higher data rates motivates the adoption of high-order modulations and pulse shaping in optical systems. This paper proposes an efficient architecture for FPGA-based parallel fractional sample rate conversion that has an optimum computational cost. The architecture supports non-integer oversampling factors, which allow increased flexibility when compared to schemes limited to ad...Show More

Parallel polyphase filtering for pulse shaping on high-speed optical communication systems

Ilan Sousa;Brenda Vilas Boas;Igor Freire;Aldebaro Klautau;Jacklyn D. Reis

2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)

Year: 2015 | Conference Paper |

Global Communications Newsletter

Brenda Vilas Boas;Edward Smith;Miroslav Skoric;Liangping Ma;Sami Aldalahmeh

IEEE Communications Magazine

Year: 2019 | Volume: 57, Issue: 2 | Magazine Article |

Global Communications Newsletter

Brenda Vilas Boas;Edward Smith;Miroslav Skoric;Liangping Ma;Sami Aldalahmeh

IEEE Communications Magazine

Year: 2019 | Volume: 57, Issue: 2 | Magazine Article |

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