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Hengtao He
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2020 – today
- 2024
- [j11]Hengtao He
, Xianghao Yu
, Jun Zhang
, Shenghui Song
, Khaled B. Letaief
:
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23(5): 4709-4723 (2024) - [j10]Wenhao Zhuang
, Yuyi Mao
, Hengtao He
, Lei Xie
, Shenghui Song
, Yao Ge
, Zhi Ding
:
Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection. IEEE Wirel. Commun. Lett. 13(7): 1913-1917 (2024) - [c18]Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization. MeditCom 2024: 102-107 - [c17]Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief:
Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. MeditCom 2024: 191-196 - [c16]Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief:
The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective. MeditCom 2024: 233-238 - [c15]Ruoxiao Cao, Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Yi Gong, Khaled B. Letaief:
Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems. WCNC 2024: 1-6 - [i27]Songjie Xie
, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief:
Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. CoRR abs/2401.11155 (2024) - [i26]Wenhao Zhuang, Yuyi Mao, Hengtao He, Lei Xie, Shenghui Song, Yao Ge, Zhi Ding:
Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection. CoRR abs/2402.10071 (2024) - [i25]Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Model-Driven Deep Learning for Distributed Detection with Binary Quantization. CoRR abs/2404.00309 (2024) - [i24]Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck. CoRR abs/2405.09514 (2024) - [i23]Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, Khaled B. Letaief:
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective. CoRR abs/2405.10096 (2024) - 2023
- [j9]Wentao Yu
, Yifei Shen, Hengtao He
, Xianghao Yu
, Shenghui Song
, Jun Zhang
, Khaled B. Letaief
:
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. IEEE J. Sel. Top. Signal Process. 17(4): 761-776 (2023) - [j8]Hengtao He
, Rui Wang, Weijie Jin, Shi Jin
, Chao-Kai Wen
, Geoffrey Ye Li
:
Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach. IEEE Trans. Wirel. Commun. 22(3): 1808-1822 (2023) - [c14]Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. GLOBECOM 2023: 3136-3141 - [c13]Wentao Yu, Hengtao He, Xianghao Yu
, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation. ICC 2023: 2613-2618 - [c12]Meiying Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Resource Allocation for OTFS-Based ISAC Systems. MeditCom 2023: 282-287 - [c11]Jinxiang Bai, Zhe Wang, Jun Li, Long Shi
, Jie Zhang, Kang Wei, Hengtao He:
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing. VTC Fall 2023: 1-6 - [c10]Hengtao He, Alva Kosasih, Xianghao Yu
, Jun Zhang, Shenghui Song, Wibowo Hardjawana, Khaled B. Letaief:
GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection. WCNC 2023: 1-6 - [i22]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. CoRR abs/2302.06896 (2023) - [i21]Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. CoRR abs/2305.12423 (2023) - [i20]Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
AI-Native Transceiver Design for Near-Field Ultra-Massive MIMO: Principles and Techniques. CoRR abs/2309.09575 (2023) - [i19]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch
, Khaled B. Letaief:
Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. CoRR abs/2311.07908 (2023) - [i18]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch
, Khaled B. Letaief:
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO. CoRR abs/2312.10438 (2023) - [i17]Ruoxiao Cao, Hengtao He, Xianghao Yu, Shenghui Song, Kaibin Huang, Jun Zhang, Yi Gong, Khaled B. Letaief:
Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO. CoRR abs/2312.13683 (2023) - 2022
- [c9]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu
, Jun Zhang, Khaled B. Letaief:
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. GLOBECOM 2022: 5384-5389 - [c8]Ruoxiao Cao, Hengtao He, Xianghao Yu
, Jun Zhang, Shenghui Song, Yi Gong
, Khaled B. Letaief:
Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks. MeditCom 2022: 160-165 - [i16]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief:
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. CoRR abs/2205.04944 (2022) - [i15]Hengtao He, Alva Kosasih, Xianghao Yu, Jun Zhang, Shenghui Song, Wibowo Hardjawana
, Khaled B. Letaief:
Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection. CoRR abs/2205.10620 (2022) - [i14]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation. CoRR abs/2211.07985 (2022) - [i13]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief:
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. CoRR abs/2211.15939 (2022) - 2021
- [j7]Hengtao He, Xianghao Yu
, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO for 6G Wireless Communication Networks. J. Commun. Inf. Networks 6(4): 321-335 (2021) - [c7]Hengtao He, Hanqing Wang, Xianghao Yu
, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. GLOBECOM 2021: 1-6 - [c6]Weijie Jin, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems. GLOBECOM 2021: 1-6 - [i12]Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. CoRR abs/2108.07498 (2021) - [i11]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO for 6G Wireless Communication Networks. CoRR abs/2110.07309 (2021) - [i10]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. CoRR abs/2111.14022 (2021) - 2020
- [j6]Hengtao He
, Mengjiao Zhang, Shi Jin
, Chao-Kai Wen
, Geoffrey Ye Li:
Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding. IEEE Commun. Lett. 24(10): 2216-2220 (2020) - [j5]Hengtao He
, Chao-Kai Wen
, Shi Jin
, Geoffrey Ye Li:
Model-Driven Deep Learning for MIMO Detection. IEEE Trans. Signal Process. 68: 1702-1715 (2020) - [j4]Yunfeng He
, Hengtao He
, Chao-Kai Wen
, Shi Jin
:
Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding. IEEE Wirel. Commun. Lett. 9(11): 1835-1839 (2020) - [c5]Jing Zhang, Hengtao He, Xi Yang, Chao-Kai Wen, Shi Jin, Xiaoli Ma:
Model-driven Deep Learning Based Turbo-MIMO Receiver. SPAWC 2020: 1-5 - [i9]Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding. CoRR abs/2006.15495 (2020) - [i8]Hengtao He, Rui Wang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach. CoRR abs/2006.16628 (2020)
2010 – 2019
- 2019
- [j3]Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu:
Model-Driven Deep Learning for Physical Layer Communications. IEEE Wirel. Commun. 26(5): 77-83 (2019) - [c4]Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. ICASSP 2019: 8414-8418 - [c3]Rui Wang, Hengtao He, Shi Jin, Xin Wang, Xiaolin Hou:
Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs. SPAWC 2019: 1-5 - [i7]Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. CoRR abs/1905.02541 (2019) - [i6]Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection. CoRR abs/1907.09439 (2019) - 2018
- [j2]Hengtao He
, Chao-Kai Wen
, Shi Jin
:
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs. IEEE J. Sel. Top. Signal Process. 12(3): 469-483 (2018) - [j1]Hengtao He
, Chao-Kai Wen
, Shi Jin
, Geoffrey Ye Li:
Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. IEEE Wirel. Commun. Lett. 7(5): 852-855 (2018) - [c2]Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
A Model-Driven Deep Learning Network for MIMO Detection. GlobalSIP 2018: 584-588 - [i5]Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems. CoRR abs/1802.01290 (2018) - [i4]Hengtao He, Chao-Kai Wen, Shi Jin:
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs. CoRR abs/1803.09190 (2018) - [i3]Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu:
Model-Driven Deep Learning for Physical Layer Communications. CoRR abs/1809.06059 (2018) - [i2]Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
A Model-Driven Deep Learning Network for MIMO Detection. CoRR abs/1809.09336 (2018) - 2017
- [c1]Hengtao He, Chao-Kai Wen, Shi Jin:
Generalized expectation consistent signal recovery for nonlinear measurements. ISIT 2017: 2333-2337 - [i1]Hengtao He, Chao-Kai Wen, Shi Jin:
Generalized Expectation Consistent Signal Recovery for Nonlinear Measurements. CoRR abs/1701.04301 (2017)
Coauthor Index
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