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Ke Ma 0006
Person information
- affiliation: Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, China
Other persons with the same name
- Ke Ma — disambiguation page
- Ke Ma 0001
— School of Computer Science and Technology, University of Chinese Academy of Sciences, China
- Ke Ma 0002
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China (and 1 more)
- Ke Ma 0003
— Pacific Northwest National Laboratory, Richland, WA, USA (and 1 more)
- Ke Ma 0004 — Rutgers University, Piscataway, NJ, USA
- Ke Ma 0005 — Snap Inc., USA (and 1 more)
- Ke Ma 0007
— Sun Yat-sen University, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangzhou, China (and 1 more)
- Ke Ma 0008
— University of Borås, Department of Business Administration and Textile Management, Sweden (and 1 more)
- Ke Ma 0009
— Nanjing University of Posts and Telecommunications, School of Computer Science, China
- Ke Ma 0010
— Sun Yat-sen University, School of Aeronautics and Astronautics, Guangzhou, China
- Ke Ma 0011 — University of Sheffield, Department of Automatic Control and Systems Engineering, Department of Civil and Structural Engineering, UK
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Journal Articles
- 2024
- [j6]Lebin Yao, Ke Ma, Yang Ming, Zhaocheng Wang:
Loss Function Fusion for Learning-Based CSI Extrapolation Enhancement. IEEE Wirel. Commun. Lett. 13(8): 2210-2214 (2024) - 2023
- [j5]Ke Ma
, Shouliang Du
, Haoming Zou, Wenqiang Tian
, Zhaocheng Wang
, Sheng Chen
:
Deep Learning Assisted mmWave Beam Prediction for Heterogeneous Networks: A Dual-Band Fusion Approach. IEEE Trans. Commun. 71(1): 115-130 (2023) - [j4]Ke Ma, Zhaocheng Wang, Wenqiang Tian, Sheng Chen
, Lajos Hanzo
:
Deep Learning for mmWave Beam-Management: State-of-the-Art, Opportunities and Challenges. IEEE Wirel. Commun. 30(4): 108-114 (2023) - [j3]Ke Ma
, Fan Zhang
, Wenqiang Tian
, Zhaocheng Wang
:
Continuous-Time mmWave Beam Prediction With ODE-LSTM Learning Architecture. IEEE Wirel. Commun. Lett. 12(1): 187-191 (2023) - 2021
- [j2]Ke Ma
, Dongxuan He, Hancun Sun, Zhaocheng Wang
, Sheng Chen
:
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems. IEEE Trans. Commun. 69(10): 6706-6721 (2021) - 2020
- [j1]Peiyao Zhao, Ke Ma, Zhaocheng Wang
, Sheng Chen
:
Virtual Angular-Domain Channel Estimation for FDD Based Massive MIMO Systems With Partial Orthogonal Pilot Design. IEEE Trans. Veh. Technol. 69(5): 5164-5178 (2020)
Conference and Workshop Papers
- 2024
- [c7]Yiliang Sang, Ke Ma, Yang Ming, Jin Lian, Zhaocheng Wang:
TypeII-CsiNet: CSI Feedback with TypeII Codebook. ICC 2024: 348-353 - 2023
- [c6]Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang:
Improving the Performance of R17 Type-II Codebook with Deep Learning. GLOBECOM 2023: 4823-4828 - [c5]Haochen Wu, Ke Ma, Yang Ming, Ziyuan Sha, Zhaocheng Wang:
Efficient Power Allocation in Coded MIMO Systems. VTC2023-Spring 2023: 1-5 - 2022
- [c4]Ke Ma, Haoming Zou, Chen Sun, Zhaocheng Wang:
Deep Learning Assisted Adaptive mmWave Beam Tracking: A Sum-Probability Oriented Methodology. GLOBECOM 2022: 573-578 - 2021
- [c3]Ke Ma, Dongxuan He, Hancun Sun, Zhaocheng Wang:
Deep Learning Assisted mmWave Beam Prediction with Prior Low-frequency Information. ICC 2021: 1-6 - 2020
- [c2]Ke Ma, Peiyao Zhao, Zhaocheng Wang:
Deep Learning Assisted Beam Prediction Using Out-of-Band Information. VTC Spring 2020: 1-5 - 2019
- [c1]Peixi Liu, Tianqi Mao, Ke Ma, Jiaxuan Chen, Zhaocheng Wang:
Three-Dimensional Visible Light Positioning Using Regression Neural Network. IWCMC 2019: 156-160
Informal and Other Publications
- 2023
- [i4]Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang:
Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback. CoRR abs/2305.08081 (2023) - [i3]Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang:
Improving the Performance of R17 Type-II Codebook with Deep Learning. CoRR abs/2310.05962 (2023) - 2021
- [i2]Ke Ma, Dongxuan He, Hancun Sun, Zhaocheng Wang, Sheng Chen:
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems. CoRR abs/2101.05206 (2021) - [i1]Ke Ma, Zhaocheng Wang, Wenqiang Tian, Sheng Chen, Lajos Hanzo:
Deep Learning for Beam Management: Opportunities, State-of-the-Arts and Challenges. CoRR abs/2111.11177 (2021)
Coauthor Index
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last updated on 2024-09-04 01:23 CEST by the dblp team
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