Hengtao He

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 56

Top Topics

Unsupervised Learning

Channel Estimation

Expectation Propagation

Top Venues

IEEE Wirel. Commun. Lett.

Publications

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) (2024)
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)
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 (2024)
Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck. CoRR (2024)
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) (2024)
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)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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 (2023)
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 (2023)
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)
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) (2023)
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 (2023)
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 (2023)
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)
Meiying Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
Resource Allocation for OTFS-Based ISAC Systems. MeditCom (2023)
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)
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) (2023)
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 (2023)
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 (2023)
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)
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)
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 (2022)
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)
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 (2022)
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 (2022)
Hengtao He, Alva Kosasihy, Xianghao Yu, Jun Zhang, Shenghui Song, Wibowo Hardjawanay, Khaled B. Letaief
Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection. CoRR (2022)
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)
Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Cell-Free Massive MIMO for 6G Wireless Communication Networks. CoRR (2021)
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) (2021)
Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. GLOBECOM (2021)
Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. CoRR (2021)
Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. CoRR (2021)
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Model-Driven Deep Learning for MIMO Detection. IEEE Trans. Signal Process. 68 (2020)
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 (2020)
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) (2020)
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) (2020)
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 (2020)
Jing Zhang, Hengtao He, Xi Yang, Chao-Kai Wen, Shi Jin, Xiaoli Ma
Model-driven Deep Learning Based Turbo-MIMO Receiver. SPAWC (2020)
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 (2019)
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) (2019)
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection. CoRR (2019)
Rui Wang, Hengtao He, Shi Jin, Xin Wang, Xiaolin Hou
Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs. SPAWC (2019)
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)
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) (2018)
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems. CoRR (2018)
Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu
Model-Driven Deep Learning for Physical Layer Communications. CoRR (2018)
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
A Model-Driven Deep Learning Network for MIMO Detection. CoRR (2018)
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) (2018)
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
A Model-Driven Deep Learning Network for MIMO Detection. GlobalSIP (2018)
Hengtao He, Chao-Kai Wen, Shi Jin
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs. CoRR (2018)
Hengtao He, Chao-Kai Wen, Shi Jin
Generalized Expectation Consistent Signal Recovery for Nonlinear Measurements. CoRR (2017)
Hengtao He, Chao-Kai Wen, Shi Jin
Generalized expectation consistent signal recovery for nonlinear measurements. ISIT (2017)