Hengtao He - RankMe

90 papers B 11Misc 1Journal 64Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks. IEEE J. Sel. Areas Commun. Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2026	J	`jnl`	Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges. IEEE Commun. Mag. Hongru Li, Songjie Xie, Jiawei Shao, Zixin Wang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2026	J	`jnl`	Sensing Mutual Information for Communication Signal with Deterministic Pilots and Random Data Payloads. CoRR Lei Xie, Hengtao He, Jun Tong, Fan Liu, Shenghui Song
2025	B	`conf`	Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models. GLOBECOM Erqiang Tang, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models. CoRR Erqiang Tang, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Adaptive Matched Filtering for Sensing With Communication Signals in Cluttered Environments. CoRR Lei Xie, Hengtao He, Yifeng Xiong, Fan Liu, Shi Jin
2025	J	`jnl`	Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. IEEE Trans. Mob. Comput. Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Ross D. Murch, Khaled B. Letaief
2025	J	`jnl`	Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks. CoRR Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks. IEEE J. Sel. Top. Signal Process. Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques. IEEE Commun. Mag. Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Distributed On-Device LLM Inference With Over-the-Air Computation. CoRR Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	—	`conf`	Distributed on-Device LLM Inference with Over-the-Air Computation. ICC Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Fast Adaptation for Deep Learning-Based Wireless Communications. IEEE Commun. Mag. Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li
2025	—	`conf`	Federated Low-Rank Adaptation with Differential Privacy for Wireless Networks. MeditCom Tianqu Kang, Zixin Wang, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief
2025	B	`conf`	Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing. GLOBECOM Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing. CoRR Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	B	`conf`	Fractional Delay and Doppler Estimation for OTFS Systems with Doppler Squint Effect. WCNC Meiying Zhang, Ruoxiao Cao, Jun Qian, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks. CoRR Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize. IEEE Trans. Wirel. Commun. Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks. IEEE Trans. Wirel. Commun. Lei Xie, Hengtao He, Shenghui Song, Yonina C. Eldar
2025	B	`conf`	Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems. PIMRC Kai Zhang, Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networks. CoRR Kai Zhang, Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges. CoRR Hongru Li, Songjie Xie, Jiawei Shao, Zixin Wang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	—	`conf`	Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning? ICC Hongru Li, Hang Zhao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning? CoRR Hongru Li, Hang Zhao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Tackling Distribution Shifts in Task-Oriented Communication With Information Bottleneck. IEEE J. Sel. Areas Commun. Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2025	J	`jnl`	Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication With Visual Feature Alignment. IEEE J. Sel. Areas Commun. Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2024	J	`jnl`	AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models. CoRR Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Linglong Dai, Lizhong Zheng, Khaled B. Letaief
2024	J	`jnl`	Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection. CoRR Wenhao Zhuang, Yuyi Mao, Hengtao He, Lei Xie, Shenghui Song, Yao Ge, Zhi Ding
2024	J	`jnl`	Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection. IEEE Wirel. Commun. Lett. Wenhao Zhuang, Yuyi Mao, Hengtao He, Lei Xie, Shenghui Song, Yao Ge, Zhi Ding
2024	J	`jnl`	Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO. IEEE J. Sel. Top. Signal Process. Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief
2024	—	`conf`	Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. MeditCom Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief
2024	J	`jnl`	Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. CoRR Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief
2024	J	`jnl`	Fast Adaptation for Deep Learning-based Wireless Communications. CoRR Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li
2024	J	`jnl`	Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks. CoRR Tianqu Kang, Zixin Wang, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief
2024	—	`conf`	Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. ICC Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief
2024	J	`jnl`	Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. IEEE Trans. Wirel. Commun. Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2024	—	`conf`	Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization. MeditCom Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2024	J	`jnl`	Model-Driven Deep Learning for Distributed Detection with Binary Quantization. CoRR Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2024	B	`conf`	Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems. WCNC Ruoxiao Cao, Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Yi Gong, Khaled B. Letaief
2024	J	`jnl`	Siamese Machine Unlearning with Knowledge Vaporization and Concentration. CoRR Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2024	J	`jnl`	Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck. CoRR Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2024	J	`jnl`	The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective. CoRR Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief
2024	—	`conf`	The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective. MeditCom Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief
2024	J	`jnl`	Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment. CoRR Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	J	`jnl`	AI-Native Transceiver Design for Near-Field Ultra-Massive MIMO: Principles and Techniques. CoRR Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	J	`jnl`	An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. IEEE J. Sel. Top. Signal Process. Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	J	`jnl`	Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO. CoRR Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief
2023	J	`jnl`	Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach. IEEE Trans. Wirel. Commun. Hengtao He, Rui Wang, Weijie Jin, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
2023	—	`conf`	Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation. ICC Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	B	`conf`	GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection. WCNC Hengtao He, Alva Kosasih, Xianghao Yu, Jun Zhang, Shenghui Song, Wibowo Hardjawana, Khaled B. Letaief
2023	J	`jnl`	Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO. CoRR Ruoxiao Cao, Hengtao He, Xianghao Yu, Shenghui Song, Kaibin Huang, Jun Zhang, Yi Gong, Khaled B. Letaief
2023	J	`jnl`	Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. CoRR Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief
2023	J	`jnl`	Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. CoRR Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2023	—	`conf`	Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing. VTC Fall Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He
2023	—	`conf`	Resource Allocation for OTFS-Based ISAC Systems. MeditCom Meiying Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	B	`conf`	Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. GLOBECOM Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	J	`jnl`	Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. CoRR Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief
2022	J	`jnl`	An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. CoRR Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
2022	—	`conf`	Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks. MeditCom Ruoxiao Cao, Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Yi Gong, Khaled B. Letaief
2022	J	`jnl`	Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation. CoRR Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
2022	J	`jnl`	Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection. CoRR Hengtao He, Alva Kosasih, Xianghao Yu, Jun Zhang, Shenghui Song, Wibowo Hardjawana, Khaled B. Letaief
2022	B	`conf`	Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. GLOBECOM Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief
2022	J	`jnl`	Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. CoRR Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief
2021	B	`conf`	Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems. GLOBECOM Weijie Jin, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2021	J	`jnl`	Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. CoRR Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	J	`jnl`	Cell-Free Massive MIMO for 6G Wireless Communication Networks. CoRR Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	J	`jnl`	Cell-Free Massive MIMO for 6G Wireless Communication Networks. J. Commun. Inf. Networks Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	B	`conf`	Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. GLOBECOM Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	J	`jnl`	Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. CoRR Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2020	J	`jnl`	Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach. CoRR Hengtao He, Rui Wang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
2020	J	`jnl`	Model-Driven Deep Learning for MIMO Detection. IEEE Trans. Signal Process. Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2020	J	`jnl`	Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding. IEEE Commun. Lett. Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
2020	J	`jnl`	Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding. CoRR Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
2020	J	`jnl`	Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding. IEEE Wirel. Commun. Lett. Yunfeng He, Hengtao He, Chao-Kai Wen, Shi Jin
2020	—	`conf`	Model-driven Deep Learning Based Turbo-MIMO Receiver. SPAWC Jing Zhang, Hengtao He, Xi Yang, Chao-Kai Wen, Shi Jin, Xiaoli Ma
2019	—	`conf`	Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs. SPAWC Rui Wang, Hengtao He, Shi Jin, Xin Wang, Xiaolin Hou
2019	Misc	`conf`	Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. ICASSP Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2019	J	`jnl`	Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. CoRR Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2019	J	`jnl`	Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection. CoRR Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2019	J	`jnl`	Model-Driven Deep Learning for Physical Layer Communications. IEEE Wirel. Commun. Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu
2018	—	`conf`	A Model-Driven Deep Learning Network for MIMO Detection. GlobalSIP Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2018	J	`jnl`	A Model-Driven Deep Learning Network for MIMO Detection. CoRR Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2018	J	`jnl`	Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs. IEEE J. Sel. Top. Signal Process. Hengtao He, Chao-Kai Wen, Shi Jin
2018	J	`jnl`	Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs. CoRR Hengtao He, Chao-Kai Wen, Shi Jin
2018	J	`jnl`	Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. IEEE Wirel. Commun. Lett. Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2018	J	`jnl`	Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems. CoRR Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
2018	J	`jnl`	Model-Driven Deep Learning for Physical Layer Communications. CoRR Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu
2017	J	`jnl`	Generalized Expectation Consistent Signal Recovery for Nonlinear Measurements. CoRR Hengtao He, Chao-Kai Wen, Shi Jin
2017	B	`conf`	Generalized expectation consistent signal recovery for nonlinear measurements. ISIT Hengtao He, Chao-Kai Wen, Shi Jin