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ORCIDXingyu Zhou 0011
Person information
- affiliation: Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- affiliation: Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
Other persons with the same name
- Xingyu Zhou — disambiguation page
- Xingyu Zhou 0001
![[0000-0002-1771-8831]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1771-8831")
— Wayne State University, Detroit, MI, USA (and 2 more) - Xingyu Zhou 0002 — Army Engineering University of PLA, Nanjing, China
- Xingyu Zhou 0003 — Huazhong Agricultural University, Wuhan, China
- Xingyu Zhou 0004 — Harbin Institute of Technology, Harbin, China
- Xingyu Zhou 0006 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Xingyu Zhou 0007 — McGill University, Montreal, QC, Canada
- Xingyu Zhou 0008 — Nanjing University of Science and Technology, Nanjing, China (and 1 more)
- Xingyu Zhou 0009 — Beijing Institute of Technology, Beijing, China
- Xingyu Zhou 0010 — Vanderbilt University, Nashville, TN, USA
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2020 – today
- 2024
[j3]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Gradient-Based Markov Chain Monte Carlo for MIMO Detection. IEEE Trans. Wirel. Commun. 23(7): 7566-7581 (2024)- [c4]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Decentralized Massive MIMO Detection Using Mini-Batch Gradient-Based MCMC. SPAWC 2024: 456-460 - [i6]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces. CoRR abs/2407.06042 (2024) - [i5]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection. CoRR abs/2407.18489 (2024) - [i4]Xingyu Zhou, Le Liang, Jing Zhang, Peiwen Jiang, Yong Li, Shi Jin:
Generative Diffusion Models for High Dimensional Channel Estimation. CoRR abs/2408.10501 (2024) - 2023
- [j2]Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin, Shuangfeng Han:
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers. IEEE Trans. Signal Process. 71: 3458-3473 (2023) - [c3]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods. GLOBECOM 2023: 5683-5688 - [i3]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Gradient-Based Markov Chain Monte Carlo for MIMO Detection. CoRR abs/2308.06562 (2023) - [i2]Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin, Shuangfeng Han:
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers. CoRR abs/2308.11335 (2023) - 2022
- [j1]Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, Shi Jin:
Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results. IEEE Trans. Commun. 70(8): 5193-5207 (2022) - [c2]Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin:
Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver. ISWCS 2022: 1-6 - [i1]Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, Shi Jin:
Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results. CoRR abs/2206.10909 (2022) - 2021
- [c1]Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Jun Zhang, Shi Jin:
Model-Driven Deep Learning-Based Signal Detector for CP-Free MIMO-OFDM Systems. ICC Workshops 2021: 1-6
Coauthor Index
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