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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.org/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
- 2026
[j13]Yu Ma, Xingyu Zhou, Xiao Li, Le Liang, Shi Jin:
Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems. IEEE Trans. Cogn. Commun. Netw. 12: 2251-2264 (2026)- [j12]Xingyu Zhou, Le Liang, Hao Ye, Jing Zhang, Chao-Kai Wen, Shi Jin:
Reducing Pilots in Channel Estimation With Predictive Foundation Models. IEEE Trans. Commun. 74: 9360-9375 (2026) - [j11]Fangyu Liu, Peiwen Jiang, Wenjin Wang, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin:
Adaptive Semantic Speech Transmission for High-Speed Scenarios. IEEE Trans. Wirel. Commun. 25: 3060-3074 (2026) - [j10]Xinjie Li, Xingyu Zhou, Yixiao Cao, Jing Zhang, Chao-Kai Wen, Xiao Li, Shi Jin:
Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation. IEEE Trans. Wirel. Commun. 25: 13864-13880 (2026) - [j9]Ziqi Diao, Xingyu Zhou, Le Liang, Shi Jin:
Robust MIMO Channel Estimation Using Energy-Based Generative Diffusion Models. IEEE Wirel. Commun. Lett. 15: 820-824 (2026) - [i17]Xiaotian Fan, Xingyu Zhou, Le Liang, Xiao Li, Shi Jin:
Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching. CoRR abs/2603.13440 (2026) - [i16]Xinjie Li, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Xiao Li, Shi Jin:
Low-Overhead Receiver Design for Data-Dependent Superimposed Training via Deep Learning. CoRR abs/2605.29995 (2026) - 2025
- [j8]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection. IEEE Trans. Commun. 73(1): 677-692 (2025) - [j7]Xinjie Li, Jing Zhang, Xingyu Zhou, Chao-Kai Wen, Shi Jin:
Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach With Reduced Computational Overhead. IEEE Trans. Commun. 73(11): 12100-12113 (2025) - [j6]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces. IEEE Trans. Signal Process. 73: 584-600 (2025) - [j5]Xingyu Zhou, Le Liang, Jing Zhang, Peiwen Jiang, Yong Li, Shi Jin:
Generative Diffusion Models for High Dimensional Channel Estimation. IEEE Trans. Wirel. Commun. 24(7): 5840-5854 (2025) - [j4]Xinjie Li, Jing Zhang, Xingyu Zhou, Yong Li, Shi Jin:
Hypernetwork-Enhanced GEPNet for MIMO-OFDM Receiver With Imperfect CSI. IEEE Wirel. Commun. Lett. 14(2): 455-459 (2025) - [c6]Xiaotian Fan, Xingyu Zhou, Hao Ye, Le Liang, Shi Jin:
MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models. WCNC 2025: 1-6 - [c5]Xinjie Li, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin:
AI-Driven Iterative Receiver for Superimposed Pilot Schemes in MIMO-OFDM Systems. WCNC 2025: 1-6 - [i15]Xinjie Li, Jing Zhang, Xingyu Zhou, Chao-Kai Wen, Shi Jin:
Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead. CoRR abs/2504.14463 (2025) - [i14]Yu Ma, Xingyu Zhou, Xiao Li, Le Liang, Shi Jin:
Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems. CoRR abs/2506.22448 (2025) - [i13]Yucheng Sheng, Jiacheng Wang, Xingyu Zhou, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li:
A Wireless Foundation Model for Multi-Task Prediction. CoRR abs/2507.05938 (2025) - [i12]Xinjie Li, Xingyu Zhou, Yixiao Cao, Jing Zhang, Chao-Kai Wen, Xiao Li, Shi Jin:
Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation. CoRR abs/2507.10074 (2025) - [i11]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Next-Generation AI-Native Wireless Communications: MCMC-Based Receiver Architectures for Unified Processing. CoRR abs/2510.01636 (2025) - [i10]Xiaotian Fan, Xingyu Zhou, Le Liang, Shi Jin:
Low-Complexity MIMO Channel Estimation with Latent Diffusion Models. CoRR abs/2510.21386 (2025) - [i9]Ziqi Diao, Xingyu Zhou, Le Liang, Shi Jin:
Robust MIMO Channel Estimation Using Energy-Based Generative Diffusion Models. CoRR abs/2510.22230 (2025) - [i8]Xingyu Zhou, Le Liang, Xinjie Li, Jing Zhang, Peiwen Jiang, Xiao Li, Shi Jin:
Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemes. CoRR abs/2511.01173 (2025) - [i7]Xingyu Zhou, Le Liang, Hao Ye, Jing Zhang, Chao-Kai Wen, Shi Jin:
Reducing Pilots in Channel Estimation With Predictive Foundation Models. CoRR abs/2512.15562 (2025) - 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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