Generalized expectation consistent signal recovery for nonlinear measurements. - Hengtao He; Chao-Kai Wen; Shi Jin 002 (ISIT, 2017)

A Model-Driven Deep Learning Network for MIMO Detection. - Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (GlobalSIP, 2018)

Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs. - Hengtao He; Chao-Kai Wen; Shi Jin 002 (IEEE J. Sel. Top. Signal Process., 2018)

Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. - Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (IEEE Wirel. Commun. Lett., 2018)

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. - Jing Zhang 031; Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (ICASSP, 2019)

Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs. - Rui Wang 001; Hengtao He; Shi Jin 002; Xin Wang 073; Xiaolin Hou (SPAWC, 2019)

Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection. - Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (CoRR, 2019)

Model-Driven Deep Learning for Physical Layer Communications. - Hengtao He; Shi Jin 002; Chao-Kai Wen; Feifei Gao; Geoffrey Ye Li; Zongben Xu (IEEE Wirel. Commun., 2019)

Model-driven Deep Learning Based Turbo-MIMO Receiver. - Jing Zhang 031; Hengtao He; Xi Yang 003; Chao-Kai Wen; Shi Jin 002; Xiaoli Ma (SPAWC, 2020)

Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach. - Hengtao He; Rui Wang 001; Shi Jin 002; Chao-Kai Wen; Geoffrey Ye Li (CoRR, 2020)

Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding. - Hengtao He; Mengjiao Zhang; Shi Jin 002; Chao-Kai Wen; Geoffrey Ye Li (IEEE Commun. Lett., 2020)

Model-Driven Deep Learning for MIMO Detection. - Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (IEEE Trans. Signal Process., 2020)

Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding. - Yunfeng He; Hengtao He; Chao-Kai Wen; Shi Jin 002 (IEEE Wirel. Commun. Lett., 2020)

Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. - Hengtao He; Hanqing Wang 002; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (GLOBECOM, 2021)

Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems. - Weijie Jin; Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (GLOBECOM, 2021)

Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. - Hengtao He; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (CoRR, 2021)

Cell-Free Massive MIMO for 6G Wireless Communication Networks. - Hengtao He; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (J. Commun. Inf. Networks, 2021)

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 004; Khaled B. Letaief (GLOBECOM, 2022)

Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks. - Ruoxiao Cao; Hengtao He; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Yi Gong 001; Khaled B. Letaief (MeditCom, 2022)

Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection. - Hengtao He; Alva Kosasih; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Wibowo Hardjawana; Khaled B. Letaief (CoRR, 2022)

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. - Hongru Li; Wentao Yu; Hengtao He; Jiawei Shao; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (GLOBECOM, 2023)

Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation. - Wentao Yu; Hengtao He; Xianghao Yu; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (ICC, 2023)

Resource Allocation for OTFS-Based ISAC Systems. - Meiying Zhang; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (MeditCom, 2023)

Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing. - Jinxiang Bai; Zhe Wang 005; Jun Li 004; Long Shi 001; Jie Zhang 076; Kang Wei; Hengtao He (VTC Fall, 2023)

GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection. - Hengtao He; Alva Kosasih; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Wibowo Hardjawana; Khaled B. Letaief (WCNC, 2023)

AI-Native Transceiver Design for Near-Field Ultra-Massive MIMO: Principles and Techniques. - Wentao Yu; Yifan Ma; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2023)

Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO. - Ruoxiao Cao; Hengtao He; Xianghao Yu; Shenghui Song 001; Kaibin Huang; Jun Zhang 004; Yi Gong 001; Khaled B. Letaief (CoRR, 2023)

Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach. - Hengtao He; Rui Wang 001; Weijie Jin; Shi Jin 002; Chao-Kai Wen; Geoffrey Ye Li (IEEE Trans. Wirel. Commun., 2023)

An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. - Wentao Yu; Yifei Shen; Hengtao He; Xianghao Yu; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (IEEE J. Sel. Top. Signal Process., 2023)

Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. - Wentao Yu; Hengtao He; Xianghao Yu; Shenghui Song 001; Jun Zhang 004; Ross D. Murch; Khaled B. Letaief (ICC, 2024)

Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization. - Wei Guo 030; Meng He 008; Chuan Huang 001; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (MeditCom, 2024)

The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective. - Tianqu Kang; Lumin Liu; Hengtao He; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (MeditCom, 2024)

Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. - Songjie Xie; Hengtao He; Hongru Li; Shenghui Song 001; Jun Zhang 004; Ying-Jun Angela Zhang; Khaled B. Letaief (MeditCom, 2024)

Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems. - Ruoxiao Cao; Wentao Yu; Hengtao He; Xianghao Yu; Shenghui Song 001; Jun Zhang 004; Yi Gong 001; Khaled B. Letaief (WCNC, 2024)

Model-Driven Deep Learning for Distributed Detection with Binary Quantization. - Wei Guo 030; Meng He 008; Chuan Huang 001; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2024)

The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective. - Tianqu Kang; Lumin Liu; Hengtao He; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (CoRR, 2024)

Fast Adaptation for Deep Learning-based Wireless Communications. - Ouya Wang; Hengtao He; Shenglong Zhou 001; Zhi Ding 001; Shi Jin 002; Khaled B. Letaief; Geoffrey Ye Li (CoRR, 2024)

Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks. - Tianqu Kang; Zixin Wang; Hengtao He; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (CoRR, 2024)

Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment. - Songjie Xie; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2024)

Siamese Machine Unlearning with Knowledge Vaporization and Concentration. - Songjie Xie; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2024)

AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models. - Wentao Yu; Hengtao He; Shenghui Song 001; Jun Zhang 004; Linglong Dai; Lizhong Zheng; Khaled B. Letaief (CoRR, 2024)

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO. - Wentao Yu; Hengtao He; Xianghao Yu; Shenghui Song 001; Jun Zhang 004; Ross D. Murch; Khaled B. Letaief (IEEE J. Sel. Top. Signal Process., 2024)

Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. - Hengtao He; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2024)

Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection. - Wenhao Zhuang; Yuyi Mao; Hengtao He; Lei Xie 009; Shenghui Song 001; Yao Ge 001; Zhi Ding 001 (IEEE Wirel. Commun. Lett., 2024)

Federated Low-Rank Adaptation with Differential Privacy for Wireless Networks. - Tianqu Kang; Zixin Wang; Hengtao He; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (MeditCom, 2025)

Fractional Delay and Doppler Estimation for OTFS Systems with Doppler Squint Effect. - Meiying Zhang; Ruoxiao Cao; Jun Qian; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (WCNC, 2025)

Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques. - Wentao Yu; Yifan Ma; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (IEEE Commun. Mag., 2025)

Distributed On-Device LLM Inference With Over-the-Air Computation. - Kai Zhang; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning? - Hongru Li; Hang Zhao; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks. - Tianyi Liao; Wei Guo 030; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks. - Kai Zhang; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges. - Hongru Li; Songjie Xie; Jiawei Shao; Zixin Wang; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize. - Yifan Ma; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2025)

Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models. - Erqiang Tang; Wei Guo 030; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing. - Tianyi Liao; Wei Guo 030; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Tackling Distribution Shifts in Task-Oriented Communication With Information Bottleneck. - Hongru Li; Jiawei Shao; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (IEEE J. Sel. Areas Commun., 2025)