default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHengtao He
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j13]Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques. IEEE Commun. Mag. 63(1): 52-58 (2025)- [i34]Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Distributed On-Device LLM Inference With Over-the-Air Computation. CoRR abs/2502.12559 (2025) - [i33]Hongru Li, Hang Zhao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning? CoRR abs/2502.17922 (2025) - 2024
- [j12]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. IEEE J. Sel. Top. Signal Process. 18(4): 714-729 (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) - [c19]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. ICC 2024: 3592-3597 - [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 - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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. CoRR abs/2405.10096 (2024) - [i27]Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li:
Fast Adaptation for Deep Learning-based Wireless Communications. CoRR abs/2409.04302 (2024) - [i26]Tianqu Kang, Zixin Wang, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks. CoRR abs/2411.07806 (2024) - [i25]Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment. CoRR abs/2412.00862 (2024) - [i24]Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Siamese Machine Unlearning with Knowledge Vaporization and Concentration. CoRR abs/2412.01207 (2024) - [i23]Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Linglong Dai, Lizhong Zheng, Khaled B. Letaief:
AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models. CoRR abs/2412.09839 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-24 00:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
