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ORCIDHao Ye 0004
Person information
- affiliation: University of California Santa Cruz, Department of Electrical and Computer Engineering, CA, USA
- affiliation (former): Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
Other persons with the same name
- Hao Ye — disambiguation page
- Hao Ye 0001
![[0000-0003-1607-244X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1607-244X")
— Tsinghua University, Department of Automation, TNList, Beijing, China - Hao Ye 0002 — University of Texas at Dallas, School of Engineering and Computer Science, TX, USA
- Hao Ye 0003 — University of Pennsylvania, Philadelphia, PA, USA (and 2 more)
- Hao Ye 0005 — Videt Tech Ltd., Shanghai, China (and 2 more)
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2020 – today
- 2026
[j20]Yucheng Sheng, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li:
Semantic Communication for Cooperative Perception Using HARQ. IEEE Trans. Cogn. Commun. Netw. 12: 1139-1154 (2026)- [j19]Hua Zhang, Kai Huang, Chengye Yang, Le Liang, Chongtao Guo, Hao Ye, Shi Jin:
Fast Adversarial Training for Graph Neural Network Based Resource Allocation. IEEE Wirel. Commun. Lett. 15: 126-130 (2026) - 2025
- [j18]Kai Huang, Le Liang, Xinping Yi, Hao Ye, Shi Jin, Geoffrey Ye Li:
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management. IEEE Trans. Commun. 73(9): 7584-7598 (2025) - [j17]Yandi Liu, Guowei Liu, Le Liang, Hao Ye, Chongtao Guo, Shi Jin:
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception. IEEE Trans. Mob. Comput. 24(12): 13351-13365 (2025) - [j16]Hao Ye, Le Liang:
On Purely Data-Driven Massive MIMO Detectors. IEEE Trans. Signal Process. 73: 3079-3093 (2025) - [j15]Hao Fang, Kai Huang, Hao Ye, Chongtao Guo, Le Liang, Xiao Li, Shi Jin:
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 74(11): 17396-17412 (2025) - [j14]Shuangyi Qian, Ming Jiang, Chunming Zhao, Hao Ye:
A Simplified Realization for Data-Driven MIMO Detector With Product Quantization. IEEE Wirel. Commun. Lett. 14(5): 1436-1440 (2025) - [c16]Xiaotian Fan, Xingyu Zhou, Hao Ye, Le Liang, Shi Jin:
MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models. WCNC 2025: 1-6 - [i23]Yandi Liu, Guowei Liu, Le Liang, Hao Ye, Chongtao Guo, Shi Jin:
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception. CoRR abs/2502.10456 (2025) - [i22]Jiacheng Wang, Le Liang, Hao Ye, Chongtao Guo, Shi Jin:
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning. CoRR abs/2505.03533 (2025) - [i21]Hao Fang, Kai Huang, Hao Ye, Chongtao Guo, Le Liang, Xiao Li, Shi Jin:
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach. CoRR abs/2505.12902 (2025) - [i20]Jiaming Yu, Le Liang, Hao Ye, Shi Jin:
Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs. CoRR abs/2506.14187 (2025) - [i19]Yucheng Sheng, Jiacheng Wang, Xingyu Zhou, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li:
A Wireless Foundation Model for Multi-Task Prediction. CoRR abs/2507.05938 (2025) - [i18]Le Liang, Hao Ye, Yucheng Sheng, Ouya Wang, Jiacheng Wang, Shi Jin, Geoffrey Ye Li:
Large Language Models for Wireless Communications: From Adaptation to Autonomy. CoRR abs/2507.21524 (2025) - [i17]Guowei Liu, Le Liang, Chongtao Guo, Hao Ye, Shi Jin:
RSU-Assisted Resource Allocation for Collaborative Perception. CoRR abs/2509.17691 (2025) - 2024
- [j13]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li:
Semantic communication for cooperative perception based on importance map. J. Frankl. Inst. 361(6): 106739 (2024) - [c15]Guowei Liu, Hao Ye, Le Liang, Shi Jin:
V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning. MLSP 2024: 1-6 - [c14]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin:
Semantic Communication for Cooperative Perception with HARQ. MLSP 2024: 1-6 - [c13]Yifan Fan, Jiaming Yu, Hao Ye, Le Liang, Shi Jin:
Cooperative Multi-Agent Reinforcement Learning-Based Wi-Fi Multiple Access. WCSP 2024: 413-418 - [i16]Yucheng Sheng, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li:
Semantic Communication for Cooperative Perception using HARQ. CoRR abs/2409.09042 (2024) - 2023
- [c12]Kexin Wang, Hao Ye, Le Liang, Shi Jin:
Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation. GLOBECOM (Workshops) 2023: 335-340 - [c11]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin:
Semantic Communication for Cooperative Perception Based on the Importance Map. WCSP 2023: 177-182 - [i15]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li:
Semantic Communication for Cooperative Perception based on Importance Map. CoRR abs/2311.06498 (2023) - 2022
- [j12]Hao Ye, Le Liang, Geoffrey Ye Li:
Decentralized Federated Learning With Unreliable Communications. IEEE J. Sel. Top. Signal Process. 16(3): 487-500 (2022) - 2021
- [j11]Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots. IEEE Trans. Cogn. Commun. Netw. 7(3): 702-714 (2021) - [j10]Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. IEEE Wirel. Commun. 28(5): 134-140 (2021) - [i14]Hao Ye, Le Liang, Geoffrey Li:
Decentralized Federated Learning with Unreliable Communications. CoRR abs/2108.02397 (2021) - 2020
- [j9]Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li:
Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks. Proc. IEEE 108(2): 341-356 (2020) - [j8]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Compress CSI and Allocate Resources in Vehicular Networks. IEEE Trans. Commun. 68(6): 3640-3653 (2020) - [j7]Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels. IEEE Trans. Wirel. Commun. 19(5): 3133-3143 (2020) - [c10]Ziyan He, Liang Wang, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Resource Allocation based on Graph Neural Networks in Vehicular Communications. GLOBECOM 2020: 1-5 - [c9]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Over-the-Air Computation. GLOBECOM 2020: 1-6 - [c8]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Bilinear Convolutional Auto-encoder based Pilot-free End-to-end Communication Systems. ICC 2020: 1-6 - [i13]Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. CoRR abs/2005.05265 (2020)
2010 – 2019
- 2019
- [j6]Le Liang, Hao Ye, Geoffrey Ye Li:
Toward Intelligent Vehicular Networks: A Machine Learning Framework. IEEE Internet Things J. 6(1): 124-135 (2019) - [j5]Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. IEEE J. Sel. Areas Commun. 37(10): 2282-2292 (2019) - [j4]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Reinforcement Learning Based Resource Allocation for V2V Communications. IEEE Trans. Veh. Technol. 68(4): 3163-3173 (2019) - [j3]Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning in Physical Layer Communications. IEEE Wirel. Commun. 26(2): 93-99 (2019) - [c7]Le Liang, Hao Ye, Geoffrey Ye Li:
Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks. SPAWC 2019: 1-5 - [c6]Hao Ye, Le Liang, Geoffrey Ye Li:
Circular Convolutional Auto-Encoder for Channel Coding. SPAWC 2019: 1-5 - [i12]Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. CoRR abs/1903.02551 (2019) - [i11]Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. CoRR abs/1905.02910 (2019) - [i10]Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li:
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks. CoRR abs/1907.03289 (2019) - [i9]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Allocate Resources in Vehicular Networks. CoRR abs/1908.03447 (2019) - [i8]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Compress CSI and Allocate Resources in Vehicular Networks. CoRR abs/1908.04685 (2019) - 2018
- [j2]Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu:
Machine Learning for Vehicular Networks: Recent Advances and Application Examples. IEEE Veh. Technol. Mag. 13(2): 94-101 (2018) - [j1]Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang:
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. IEEE Wirel. Commun. Lett. 7(1): 114-117 (2018) - [c5]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN. GLOBECOM Workshops 2018: 1-5 - [c4]Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning for Resource Allocation in V2V Communications. ICC 2018: 1-6 - [c3]Xiaoli Ma, Hao Ye, Ye (Geoffrey) Li:
Learning Assisted Estimation for Time-Varying Channels. ISWCS 2018: 1-5 - [c2]Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning based Distributed Resource Allocation for V2V Broadcasting. IWCMC 2018: 440-445 - [i7]Le Liang, Hao Ye, Geoffrey Ye Li:
Towards Intelligent Vehicular Networks: A Machine Learning Framework. CoRR abs/1804.00338 (2018) - [i6]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Reinforcement Learning based Resource Allocation for V2V Communications. CoRR abs/1805.07222 (2018) - [i5]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN. CoRR abs/1807.00447 (2018) - [i4]Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning in Physical Layer Communications. CoRR abs/1807.11713 (2018) - 2017
- [c1]Hao Ye, Geoffrey Ye Li:
Initial Results on Deep Learning for Joint Channel Equalization and Decoding. VTC Fall 2017: 1-5 - [i3]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. CoRR abs/1708.08514 (2017) - [i2]Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning for Resource Allocation in V2V Communications. CoRR abs/1711.00968 (2017) - [i1]Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu:
Machine Learning for Vehicular Networks. CoRR abs/1712.07143 (2017)
Coauthor Index
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last updated on 2026-01-27 03:56 CET by the dblp team
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