何恒涛｜东南大学｜学者主页

百晓学者学者目录

精选作品

期刊论文

2026

人工智能与深度学习在太赫兹超大规模MIMO系统中的应用——从模型驱动方法到基础模型（英文）

Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Linglong Dai, Lizhong Zheng, Khaled B.Letaief

Engineering

2026

Opponent Modeling-Based Dynamic Resource Trading for Multi-UAV Assisted Edge Computing

Mengze Liu, Zhe Wang, Jinxiang Bai, Long Xing Shi, Jun Li, Kang Wei, Hengtao He, Jie Zhang, Shi Jin

IEEE Internet of Things Journal

DOI

2026

DL-Aided Super-Resolution Beam Alignment for Low-Overhead mmWave Massive MIMO

Weijie Jin, Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Jing Jina, Ziye Shi

International Conference on Communications

DOI

2026

Adaptive Matched Filtering for Sensing With Communication Signals in Cluttered Environments

Lei Xie, Hengtao He, Yifeng Xiong, Fan Liu, Shi Jin

IEEE Transactions on Signal Processing

DOI

2026

Deep Learning-Based Sensing With Deterministic Pilots and Random Data Payloads

Yang Li, Hengtao He, Wentao Yu, Jing Zhang, Chao-Kai Wen, Shi Jin

IEEE Wireless Communications Letters

DOI

2026

Semi-Blind Channel Estimation for RIS-Assisted mmWave Systems Based on Diffusion Models

Kai Lu, Hengtao He, Weijie Jin, Jing Zhang, Xiao Li, Shi Jin

IEEE Wireless Communications Letters

DOI

2026

Unlocking Bistatic Target Detection for ISAC: Synergizing Deterministic Pilots and Unknown Random Data Payloads

Lei Xie, Hengtao He, Shenghui Song, Shi Jin, Khaled B. Letaief

International Conference on Communications

DOI

2026

Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networks

Kai Zhang, Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

IEEE Journal of Selected Topics in Signal Processing

DOI

2025

Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing

Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

Globecom

DOI

2025

Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication With Visual Feature Alignment

Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

IEEE Journal on Selected Areas in Communications

DOI

2025

Fast Adaptation for Deep Learning-Based Wireless Communications

Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li

IEEE Communications Magazine

DOI

2025

Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach

Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Ross Murch, Khaled B. Letaief

IEEE Transactions on Mobile Computing

DOI

2025

Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks

Lei Xie, Hengtao He, Shenghui Song, Yonina C. Eldar

IEEE Transactions on Wireless Communications

DOI

2025

Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models

Erqiang Tang, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

Globecom

DOI

2025

Channel Estimation for RIS-Assisted mmWave Systems Using Spike-and-Slab Laplacian Priors

Kai Lu, Hengtao He, Weijie Jin, J Zhang, Xin Li, Shi Jin

IEEE Globecom Workshops (GC Wkshps)

DOI

2025

Robust Beamforming via Graph Neural Networks and Attention Mechanisms for MU-MISO Systems

Ruichang Li, Weijie Jin, Jing Zhang, Hengtao He, Yong Li, Shi Jin

IEEE International Conference on Communication Technology (ICCT)

DOI

2025

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems

Kai Zhang, Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

DOI

2025

Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks

Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

IEEE Journal of Selected Topics in Signal Processing

DOI

2022

Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

Hengtao He, Rui Wang, Weijie Jin, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li

IEEE Transactions on Wireless Communications

DOI

2021

Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems

Weijie Jin, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

Globecom

DOI

2020

面向智能通信的先进收发机理论与关键技术

何恒涛

《东南大学》

2020

Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding

Yunfeng He, Hengtao He, Chao-Kai Wen, Shi Jin

IEEE Wireless Communications Letters

DOI

2020

Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding

Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li

IEEE Communications Letters

DOI

2020

Model-driven Deep Learning Based Turbo-MIMO Receiver

Jing Zhang, Hengtao He, Xi Yang, Chao-Kai Wen, Shi Jin, Xiaoli Ma

IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

DOI

2020

Model-Driven Deep Learning for MIMO Detection

Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

IEEE Transactions on Signal Processing

DOI

2019

Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs

Rui Wang, Hengtao He, Shi Jin, Xin Wang, Xiaolin Hou

IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

DOI

2019

Model-Driven Deep Learning for Physical Layer Communications

Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu

IEEE Wireless Communications

DOI

2019

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2018

A Model-Driven Deep Learning Network for MIMO Detection

Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

IEEE Global Conference on Signal and Information Processing

DOI

2018

Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

IEEE Wireless Communications Letters

DOI

2018

Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs

Hengtao He, Chao-Kai Wen, Shi Jin

IEEE Journal of Selected Topics in Signal Processing

DOI

2017

Generalized expectation consistent signal recovery for nonlinear measurements

Hengtao He, Chao-Kai Wen, Shi Jin

IEEE International Symposium on Information Theory (ISIT)

DOI

预印本

2026

Deep Learning-based Low-Overhead Beam Alignment for mmWave Massive MIMO Systems

Weijie Jin, Jing Zhang, Hengtao He, Chao-Kai Wen, Xiao Li, Shi Jin

arXiv (Cornell University)

DOI

2026

SPA-MAE: A Physics-Guided CSI Foundation Model for Wireless Physical Layer

Chen Chen, Weijie Jin, Hengtao He, Xiaoheng Sun, Shi Jin

arXiv (Cornell University)

DOI

2026

XFreq-GS: Cross-Frequency Wireless Radiation Field Reconstruction with 3D Gaussian Splatting

Sheng Wang, Hengtao He, Chaozheng Wen, Jingwen Tong, Xinyu Li, Xiao Li, Jun Zhang, Shi Jin

arXiv (Cornell University)

DOI

2026

A Unified Two-Stage Generative Diffusion Framework for Channel Estimation and Port Selection in Multiuser MIMO-FAS

Erqiang Tang, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2026

Task-Oriented Precoding for Edge Inference over Large-Scale MIMO Systems

Hongru Li, Zeyan Zhuang, Zixin Wang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2026

Sensing Mutual Information for Communication Signal with Deterministic Pilots and Random Data Payloads

Lei Xie, Hengtao He, Jun Tong, Fan Liu, Shenghui Song

arXiv preprint

2026

Model-Driven Deep Learning for Distributed Detection with Low-Bit Quantization

Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2025

Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks

Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2025

Distributed On-Device LLM Inference With Over-the-Air Computation

Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2025

Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges

Hongru Li, Songjie Xie, Jiawei Shao, Zixin Wang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2025

Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning?

Hongru Li, Hang Zhao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2024

Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize

Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2024

AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models

Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Linglong Dai, Lizhong Zheng, Khaled B. Letaief

arXiv preprint

2024

Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks

Tianqu Kang, Zixin Wang, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief

arXiv preprint

2024

The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective

Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, Khaled B. Letaief

arXiv preprint

DOI

2024

Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks

Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief

arXiv preprint

2024

Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection

Wenhao Zhuang, Yuyi Mao, Hengtao He, Lei Xie, Shenghui Song, Yao Ge, Zhi Ding

arXiv preprint

2024

Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck

Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2024

Siamese Machine Unlearning with Knowledge Vaporization and Concentration

Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2023

Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems

Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief

arXiv preprint

2023

Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques

Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2023

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO

Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross Murch, Khaled B. Letaief

arXiv preprint

DOI

2023

Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO

Ruoxiao Cao, Hengtao He, Xianghao Yu, Shenghui Song, Kaibin Huang, Jun Zhang, Yi Gong, Khaled B. Letaief

arXiv preprint

2023

Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments

Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief

arXiv preprint

2023

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework

Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2022

GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection

Hengtao He, Alva Kosasih, Xianghao Yu, Jun Zhang, S. H. Song, Wibowo Hardjawana, Khaled B. Letaief

arXiv preprint

2022

Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation

Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

2022

An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation

Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief

arXiv preprint

DOI

2022

Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks

Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief

arXiv preprint

2021

Cell-Free Massive MIMO for 6G Wireless Communication Networks

Hengtao He, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief

arXiv preprint

研究方向

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