Hao Ye - RankMe

63 papers B 4Journal 47Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Adversarial Training for Graph Neural Network Based Resource Allocation. IEEE Wirel. Commun. Lett. Hua Zhang, Kai Huang, Chengye Yang, Le Liang, Chongtao Guo, Hao Ye, Shi Jin
2026	J	`jnl`	Prompt-Guided Multi-Task Semantic Communication for Image Transmission. IEEE Commun. Lett. Hua Zhang, Zijian Cao, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li
2026	J	`jnl`	Semantic Communication for Cooperative Perception Using HARQ. IEEE Trans. Cogn. Commun. Netw. Yucheng Sheng, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li
2026	J	`jnl`	Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning. IEEE Trans. Commun. Jiacheng Wang, Le Liang, Hao Ye, Chongtao Guo, Shi Jin
2026	J	`jnl`	Wireless Power Control Based on Large Language Models. CoRR Jiacheng Wang, Yucheng Sheng, Le Liang, Hao Ye, Shi Jin
2025	J	`jnl`	A Simplified Realization for Data-Driven MIMO Detector With Product Quantization. IEEE Wirel. Commun. Lett. Shuangyi Qian, Ming Jiang, Chunming Zhao, Hao Ye
2025	J	`jnl`	A Wireless Foundation Model for Multi-Task Prediction. CoRR Yucheng Sheng, Jiacheng Wang, Xingyu Zhou, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li
2025	J	`jnl`	Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception. CoRR Yandi Liu, Guowei Liu, Le Liang, Hao Ye, Chongtao Guo, Shi Jin
2025	J	`jnl`	Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception. IEEE Trans. Mob. Comput. Yandi Liu, Guowei Liu, Le Liang, Hao Ye, Chongtao Guo, Shi Jin
2025	J	`jnl`	Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs. CoRR Jiaming Yu, Le Liang, Hao Ye, Shi Jin
2025	J	`jnl`	Large Language Models for Wireless Communications: From Adaptation to Autonomy. CoRR Le Liang, Hao Ye, Yucheng Sheng, Ouya Wang, Jiacheng Wang, Shi Jin, Geoffrey Ye Li
2025	B	`conf`	MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models. WCNC Xiaotian Fan, Xingyu Zhou, Hao Ye, Le Liang, Shi Jin
2025	J	`jnl`	Meta-Learning Empowered Graph Neural Networks for Radio Resource Management. IEEE Trans. Commun. Kai Huang, Le Liang, Xinping Yi, Hao Ye, Shi Jin, Geoffrey Ye Li
2025	J	`jnl`	On Purely Data-Driven Massive MIMO Detectors. IEEE Trans. Signal Process. Hao Ye, Le Liang
2025	J	`jnl`	Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach. CoRR Hao Fang, Kai Huang, Hao Ye, Chongtao Guo, Le Liang, Xiao Li, Shi Jin
2025	J	`jnl`	Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach. IEEE Trans. Veh. Technol. Hao Fang, Kai Huang, Hao Ye, Chongtao Guo, Le Liang, Xiao Li, Shi Jin
2025	J	`jnl`	RSU-Assisted Resource Allocation for Collaborative Perception. CoRR Guowei Liu, Le Liang, Chongtao Guo, Hao Ye, Shi Jin
2025	J	`jnl`	Reducing Pilots in Channel Estimation With Predictive Foundation Models. CoRR Xingyu Zhou, Le Liang, Hao Ye, Jing Zhang, Chao-Kai Wen, Shi Jin
2025	J	`jnl`	Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning. CoRR Jiacheng Wang, Le Liang, Hao Ye, Chongtao Guo, Shi Jin
2024	—	`conf`	Cooperative Multi-Agent Reinforcement Learning-Based Wi-Fi Multiple Access. WCSP Yifan Fan, Jiaming Yu, Hao Ye, Le Liang, Shi Jin
2024	J	`jnl`	Semantic Communication for Cooperative Perception using HARQ. CoRR Yucheng Sheng, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li
2024	—	`conf`	Semantic Communication for Cooperative Perception with HARQ. MLSP Yucheng Sheng, Hao Ye, Le Liang, Shi Jin
2024	J	`jnl`	Semantic communication for cooperative perception based on importance map. J. Frankl. Inst. Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li
2024	—	`conf`	V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning. MLSP Guowei Liu, Hao Ye, Le Liang, Shi Jin
2023	—	`conf`	Semantic Communication for Cooperative Perception Based on the Importance Map. WCSP Yucheng Sheng, Hao Ye, Le Liang, Shi Jin
2023	J	`jnl`	Semantic Communication for Cooperative Perception based on Importance Map. CoRR Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li
2023	—	`conf`	Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation. GLOBECOM (Workshops) Kexin Wang, Hao Ye, Le Liang, Shi Jin
2022	J	`jnl`	Decentralized Federated Learning With Unreliable Communications. IEEE J. Sel. Top. Signal Process. Hao Ye, Le Liang, Geoffrey Ye Li
2021	J	`jnl`	Decentralized Federated Learning with Unreliable Communications. CoRR Hao Ye, Le Liang, Geoffrey Li
2021	J	`jnl`	Deep Learning Based End-to-End Wireless Communication Systems Without Pilots. IEEE Trans. Cogn. Commun. Netw. Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang
2021	J	`jnl`	Federated Learning and Wireless Communications. IEEE Wirel. Commun. Zhijin Qin, Geoffrey Ye Li, Hao Ye
2020	—	`conf`	Bilinear Convolutional Auto-encoder based Pilot-free End-to-end Communication Systems. ICC Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2020	J	`jnl`	Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels. IEEE Trans. Wirel. Commun. Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Juang
2020	B	`conf`	Deep Over-the-Air Computation. GLOBECOM Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2020	J	`jnl`	Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks. Proc. IEEE Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li
2020	J	`jnl`	Federated Learning and Wireless Communications. CoRR Zhijin Qin, Geoffrey Ye Li, Hao Ye
2020	J	`jnl`	Learn to Compress CSI and Allocate Resources in Vehicular Networks. IEEE Trans. Commun. Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li
2020	B	`conf`	Resource Allocation based on Graph Neural Networks in Vehicular Communications. GLOBECOM Ziyan He, Liang Wang, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2019	—	`conf`	Circular Convolutional Auto-Encoder for Channel Coding. SPAWC Hao Ye, Le Liang, Geoffrey Ye Li
2019	J	`jnl`	Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. CoRR Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang
2019	J	`jnl`	Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks. CoRR Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li
2019	J	`jnl`	Deep Learning in Physical Layer Communications. IEEE Wirel. Commun. Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2019	J	`jnl`	Deep Reinforcement Learning Based Resource Allocation for V2V Communications. IEEE Trans. Veh. Technol. Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2019	J	`jnl`	Learn to Allocate Resources in Vehicular Networks. CoRR Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li
2019	J	`jnl`	Learn to Compress CSI and Allocate Resources in Vehicular Networks. CoRR Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li
2019	—	`conf`	Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks. SPAWC Le Liang, Hao Ye, Geoffrey Ye Li
2019	J	`jnl`	Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. CoRR Le Liang, Hao Ye, Geoffrey Ye Li
2019	J	`jnl`	Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. IEEE J. Sel. Areas Commun. Le Liang, Hao Ye, Geoffrey Ye Li
2019	J	`jnl`	Toward Intelligent Vehicular Networks: A Machine Learning Framework. IEEE Internet Things J. Le Liang, Hao Ye, Geoffrey Ye Li
2018	—	`conf`	Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN. GLOBECOM Workshops Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan
2018	J	`jnl`	Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN. CoRR Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan
2018	J	`jnl`	Deep Learning in Physical Layer Communications. CoRR Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2018	B	`conf`	Deep Reinforcement Learning based Distributed Resource Allocation for V2V Broadcasting. IWCMC Hao Ye, Geoffrey Ye Li
2018	J	`jnl`	Deep Reinforcement Learning based Resource Allocation for V2V Communications. CoRR Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
2018	—	`conf`	Deep Reinforcement Learning for Resource Allocation in V2V Communications. ICC Hao Ye, Geoffrey Ye Li
2018	—	`conf`	Learning Assisted Estimation for Time-Varying Channels. ISWCS Xiaoli Ma, Hao Ye, Ye (Geoffrey) Li
2018	J	`jnl`	Machine Learning for Vehicular Networks: Recent Advances and Application Examples. IEEE Veh. Technol. Mag. Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu
2018	J	`jnl`	Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. IEEE Wirel. Commun. Lett. Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang
2018	J	`jnl`	Towards Intelligent Vehicular Networks: A Machine Learning Framework. CoRR Le Liang, Hao Ye, Geoffrey Ye Li
2017	J	`jnl`	Deep Reinforcement Learning for Resource Allocation in V2V Communications. CoRR Hao Ye, Geoffrey Ye Li
2017	—	`conf`	Initial Results on Deep Learning for Joint Channel Equalization and Decoding. VTC Fall Hao Ye, Geoffrey Ye Li
2017	J	`jnl`	Machine Learning for Vehicular Networks. CoRR Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu
2017	J	`jnl`	Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. CoRR Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang