Initial Results on Deep Learning for Joint Channel Equalization and Decoding. - Hao Ye 004; Geoffrey Ye Li (VTC Fall, 2017)

Machine Learning for Vehicular Networks. - Hao Ye 004; Le Liang; Geoffrey Ye Li; Joonbeom Kim; Lu Lu 002; May Wu (CoRR, 2017)

Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN. - Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Fred Juang; Kathiravetpillai Sivanesan (GLOBECOM Workshops, 2018)

Deep Reinforcement Learning for Resource Allocation in V2V Communications. - Hao Ye 004; Geoffrey Ye Li (ICC, 2018)

Learning Assisted Estimation for Time-Varying Channels. - Xiaoli Ma; Hao Ye 004; Ye (Geoffrey) Li (ISWCS, 2018)

Deep Reinforcement Learning based Distributed Resource Allocation for V2V Broadcasting. - Hao Ye 004; Geoffrey Ye Li (IWCMC, 2018)

Towards Intelligent Vehicular Networks: A Machine Learning Framework. - Le Liang; Hao Ye 004; Geoffrey Ye Li (CoRR, 2018)

Machine Learning for Vehicular Networks: Recent Advances and Application Examples. - Hao Ye 004; Le Liang; Geoffrey Ye Li; Joonbeom Kim; Lu Lu 002; May Wu (IEEE Veh. Technol. Mag., 2018)

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. - Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Juang (IEEE Wirel. Commun. Lett., 2018)

Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks. - Le Liang; Hao Ye 004; Geoffrey Ye Li (SPAWC, 2019)

Circular Convolutional Auto-Encoder for Channel Coding. - Hao Ye 004; Le Liang; Geoffrey Ye Li (SPAWC, 2019)

Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. - Hao Ye 004; Le Liang; Geoffrey Ye Li; Biing-Hwang Fred Juang (CoRR, 2019)

Learn to Allocate Resources in Vehicular Networks. - Liang Wang 014; Hao Ye 004; Le Liang; Geoffrey Ye Li (CoRR, 2019)

Toward Intelligent Vehicular Networks: A Machine Learning Framework. - Le Liang; Hao Ye 004; Geoffrey Ye Li (IEEE Internet Things J., 2019)

Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. - Le Liang; Hao Ye 004; Geoffrey Ye Li (IEEE J. Sel. Areas Commun., 2019)

Deep Reinforcement Learning Based Resource Allocation for V2V Communications. - Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Fred Juang (IEEE Trans. Veh. Technol., 2019)

Deep Learning in Physical Layer Communications. - Zhijin Qin; Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Fred Juang (IEEE Wirel. Commun., 2019)

Resource Allocation based on Graph Neural Networks in Vehicular Communications. - Ziyan He; Liang Wang 014; Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Fred Juang (GLOBECOM, 2020)

Deep Over-the-Air Computation. - Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Fred Juang (GLOBECOM, 2020)

Bilinear Convolutional Auto-encoder based Pilot-free End-to-end Communication Systems. - Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Fred Juang (ICC, 2020)

Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks. - Le Liang; Hao Ye 004; Guanding Yu; Geoffrey Ye Li (Proc. IEEE, 2020)

Learn to Compress CSI and Allocate Resources in Vehicular Networks. - Liang Wang 014; Hao Ye 004; Le Liang; Geoffrey Ye Li (IEEE Trans. Commun., 2020)

Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels. - Hao Ye 004; Le Liang; Geoffrey Ye Li; Biing-Hwang Juang (IEEE Trans. Wirel. Commun., 2020)

Deep Learning Based End-to-End Wireless Communication Systems Without Pilots. - Hao Ye 004; Geoffrey Ye Li; Biing-Hwang Juang (IEEE Trans. Cogn. Commun. Netw., 2021)

Federated Learning and Wireless Communications. - Zhijin Qin; Geoffrey Ye Li; Hao Ye 004 (IEEE Wirel. Commun., 2021)

Decentralized Federated Learning With Unreliable Communications. - Hao Ye 004; Le Liang; Geoffrey Ye Li (IEEE J. Sel. Top. Signal Process., 2022)

Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation. - Kexin Wang; Hao Ye 004; Le Liang; Shi Jin 002 (GLOBECOM (Workshops), 2023)

Semantic Communication for Cooperative Perception Based on the Importance Map. - Yucheng Sheng; Hao Ye 004; Le Liang; Shi Jin 002 (WCSP, 2023)

V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning. - Guowei Liu; Hao Ye 004; Le Liang; Shi Jin 002 (MLSP, 2024)

Semantic Communication for Cooperative Perception with HARQ. - Yucheng Sheng; Hao Ye 004; Le Liang; Shi Jin 002 (MLSP, 2024)

Cooperative Multi-Agent Reinforcement Learning-Based Wi-Fi Multiple Access. - Yifan Fan; Jiaming Yu; Hao Ye 004; Le Liang; Shi Jin 002 (WCSP, 2024)

Semantic Communication for Cooperative Perception using HARQ. - Yucheng Sheng; Le Liang; Hao Ye 004; Shi Jin 002; Geoffrey Ye Li (CoRR, 2024)

Semantic communication for cooperative perception based on importance map. - Yucheng Sheng; Hao Ye 004; Le Liang; Shi Jin 002; Geoffrey Ye Li (J. Frankl. Inst., 2024)

MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models. - Xiaotian Fan; Xingyu Zhou 011; Hao Ye 004; Le Liang; Shi Jin 002 (WCNC, 2025)

On Purely Data-Driven Massive MIMO Detectors. - Hao Ye 004; Le Liang (IEEE Trans. Signal Process., 2025)

Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception. - Yandi Liu; Guowei Liu; Le Liang; Hao Ye 004; Chongtao Guo; Shi Jin 002 (CoRR, 2025)

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning. - Jiacheng Wang 001; Le Liang; Hao Ye 004; Chongtao Guo; Shi Jin 002 (CoRR, 2025)

Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach. - Hao Fang; Kai Huang; Hao Ye 004; Chongtao Guo; Le Liang; Xiao Li; Shi Jin 002 (CoRR, 2025)

A Simplified Realization for Data-Driven MIMO Detector With Product Quantization. - Shuangyi Qian; Ming Jiang 012; Chunming Zhao 001; Hao Ye 004 (IEEE Wirel. Commun. Lett., 2025)

Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs. - Jiaming Yu; Le Liang; Hao Ye 004; Shi Jin 002 (CoRR, 2025)

A Wireless Foundation Model for Multi-Task Prediction. - Yucheng Sheng; Jiacheng Wang 001; Xingyu Zhou 011; Le Liang; Hao Ye 004; Shi Jin 002; Geoffrey Ye Li (CoRR, 2025)

Large Language Models for Wireless Communications: From Adaptation to Autonomy. - Le Liang; Hao Ye 004; Yucheng Sheng; Ouya Wang; Jiacheng Wang 001; Shi Jin 002; Geoffrey Ye Li (CoRR, 2025)