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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j46]Jing Zhang, Chao-Kai Wen, Le Liang, Shi Jin:
Universal Model-Driven Deep Learning for MIMO Transceiver Design. IEEE Commun. Mag. 62(4): 74-80 (2024)- [j45]Yun Ma
, He Fang, Le Liang, Xianbin Wang:
Physical-Layer Authentication Enhancement via Random Watermark Hopping. IEEE Internet Things J. 11(20): 32998-33009 (2024) - [j44]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) - [j43]Yijie Bian, Jie Yang, Lingyun Dai, Xi Lin, Xinyao Cheng, Hang Que, Le Liang, Shi Jin:
Multi-modal fusion for sensing-aided beam tracking in mmWave communications. Phys. Commun. 67: 102514 (2024) - [j42]Zhijin Qin, Le Liang, Zijing Wang, Shi Jin, Xiaoming Tao, Wen Tong, Geoffrey Ye Li:
AI Empowered Wireless Communications: From Bits to Semantics. Proc. IEEE 112(7): 621-652 (2024) - [j41]Chongtao Guo, Songtao Liu, Bin Liao, Zhigang Wang, Le Liang:
AoI-Driven Power Allocation and Batch Sampling Control for V2V Status Update Communications. IEEE Trans. Ind. Informatics 20(1): 291-302 (2024) - [j40]Yihao Chen, Jingguo Bi, Le Liang, Wangxuan Lin, Xiaofan Liang, Le Xu, Zigang Deng:
Dynamic Characteristics Measurement and Analysis of HTS Maglev Vehicle Driven by Permanent Magnet Electrodynamic Wheel. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j39]Siqi Jiang, Yijian Wang, Le Liang, Huibo Zhang, Zigang Deng:
Truth-Correction-Based Multisensor Fusion Method for HTS Maglev Train's Position Detection. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j38]Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang:
SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications. IEEE Trans. Mob. Comput. 23(5): 4819-4831 (2024) - [j37]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Gradient-Based Markov Chain Monte Carlo for MIMO Detection. IEEE Trans. Wirel. Commun. 23(7): 7566-7581 (2024) - [j36]Zheng Wang, Le Liang, Shanxiang Lyu, Yili Xia, Yongming Huang, Derrick Wing Kwan Ng:
Efficient Statistical Linear Precoding for Downlink Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23(10): 14805-14818 (2024) - [j35]Yangjing Wang, Huaqian Zhang, Xiao Li, Le Liang, Michail Matthaiou, Shi Jin:
Multi-Agent DRL Approach to Two-Timescale Transmission for RIS-Aided MU-MISO Systems. IEEE Wirel. Commun. Lett. 13(10): 2697-2701 (2024) - [c26]Zhiwei Shan, Xinping Yi, Le Liang, Chung-Shou Liao, Shi Jin:
GRLinQ: A Distributed Link Scheduling Mechanism with Graph Reinforcement Learning. ISIT 2024: 2436-2441 - [c25]Guowei Liu, Hao Ye, Le Liang, Shi Jin:
V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning. MLSP 2024: 1-6 - [c24]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin:
Semantic Communication for Cooperative Perception with HARQ. MLSP 2024: 1-6 - [c23]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Decentralized Massive MIMO Detection Using Mini-Batch Gradient-Based MCMC. SPAWC 2024: 456-460 - [c22]Tianhao Mao, Jie Yang, Le Liang, Shi Jin:
Joint Radar-Communication Beamforming for CRB-Based Target Localization. VTC Spring 2024: 1-7 - [i29]Hao Ye, Le Liang:
On Purely Data-Driven Massive MIMO Detectors. CoRR abs/2401.07515 (2024) - [i28]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces. CoRR abs/2407.06042 (2024) - [i27]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection. CoRR abs/2407.18489 (2024) - [i26]Yucheng Sheng, Kai Huang, Le Liang, Peng Liu, Shi Jin, Geoffrey Ye Li:
Beam Prediction based on Large Language Models. CoRR abs/2408.08707 (2024) - [i25]Zhiwei Shan, Xinping Yi, Le Liang, Chung-Shou Liao, Shi Jin:
GRLinQ: An Intelligent Spectrum Sharing Mechanism for Device-to-Device Communications with Graph Reinforcement Learning. CoRR abs/2408.09394 (2024) - [i24]Xingyu Zhou, Le Liang, Jing Zhang, Peiwen Jiang, Yong Li, Shi Jin:
Generative Diffusion Models for High Dimensional Channel Estimation. CoRR abs/2408.10501 (2024) - [i23]Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu:
Perception-guided Jailbreak against Text-to-Image Models. CoRR abs/2408.10848 (2024) - [i22]Yucheng Sheng, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li:
Semantic Communication for Cooperative Perception using HARQ. CoRR abs/2409.09042 (2024) - [i21]Jie Yang, Hang Que, Tao Du, Le Liang, Xiao Li, Chao-Kai Wen, Shi Jin:
ISAC Prototype System for Multi-Domain Cooperative Communication Networks. CoRR abs/2410.22956 (2024) - 2023
- [j34]Hengxi Zhang, Chengyue Lu, Huaze Tang, Xiaoli Wei, Le Liang, Ling Cheng, Wenbo Ding, Zhu Han:
Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks. IEEE Internet Things J. 10(3): 2667-2679 (2023) - [j33]Chongtao Guo, Zhengchao Li, Le Liang, Geoffrey Ye Li:
Reinforcement Learning-Based Power Control for Reliable Mission-Critical Wireless Transmission. IEEE Internet Things J. 10(23): 20868-20883 (2023) - [j32]Chongtao Guo, Xijun Wang, Le Liang, Geoffrey Ye Li:
Age of Information, Latency, and Reliability in Intelligent Vehicular Networks. IEEE Netw. 37(6): 109-116 (2023) - [j31]Guang-Ju Li, Shi Jin, Wenwu Yu, Le Liang, Xiaokai Nie, Hongzhe Liu:
Online Energy Consumption Optimization in WPCNs With Time-Varying Energy Storage Efficiency. IEEE Trans. Commun. 71(3): 1771-1784 (2023) - [j30]Hongfu Shi, Zhihao Ke, Jun Zheng, Yuqing Xiang, Kehong Ren, Peng Lin, Kaiwen Li, Hanlin Zhu, Le Liang, Zigang Deng:
An Effective Optimization Method and Implementation of Permanent Magnet Electrodynamic Wheel for Maglev Car. IEEE Trans. Veh. Technol. 72(7): 8369-8381 (2023) - [j29]Yujin Cai, Shi Jin, Wenwu Yu, Xiaokai Nie, Le Liang, Hongzhe Liu:
Cooperative Distributed Resource Allocation in Heterogeneous Networks With D2D Communication. IEEE Trans. Veh. Technol. 72(12): 16426-16440 (2023) - [c21]Kexin Wang, Hao Ye, Le Liang, Shi Jin:
Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation. GLOBECOM (Workshops) 2023: 335-340 - [c20]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods. GLOBECOM 2023: 5683-5688 - [c19]Zijian Cao, Hua Zhang, Le Liang, Haotian Wang:
Pilot-Free Semantic Communication Systems for Frequency-Selective Fading Channels. ICC Workshops 2023: 1860-1865 - [c18]Jiaming Yu, Shaochuan Wu, Le Liang, Shi Jin:
Resource Allocation in Vehicular Networks Based on Federated Multi-Agent Reinforcement Learning. ICCT 2023: 84-89 - [c17]Keying Zhu, Kai Huang, Le Liang, Shi Jin:
Resource Allocation in Vehicular Networks Based on Offline Reinforcement Learning. ICCT 2023: 558-563 - [c16]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin:
Semantic Communication for Cooperative Perception Based on the Importance Map. WCSP 2023: 177-182 - [i20]Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Gradient-Based Markov Chain Monte Carlo for MIMO Detection. CoRR abs/2308.06562 (2023) - [i19]Kai Huang, Le Liang, Shi Jin, Geoffrey Ye Li:
Meta Reinforcement Learning for Fast Spectrum Sharing in Vehicular Networks. CoRR abs/2309.17185 (2023) - [i18]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
- [j28]Qiang Sun, Le Liang, Xinhao Dang, Yuan Chen:
Deep learning-based dimensional emotion recognition combining the attention mechanism and global second-order feature representations. Comput. Electr. Eng. 104(Part): 108469 (2022) - [j27]Ning Gao, Le Liang, Donghong Cai, Xiao Li, Shi Jin:
Coverage Control for UAV Swarm Communication Networks: A Distributed Learning Approach. IEEE Internet Things J. 9(20): 19854-19867 (2022) - [j26]Hao Ye, Le Liang, Geoffrey Ye Li:
Decentralized Federated Learning With Unreliable Communications. IEEE J. Sel. Top. Signal Process. 16(3): 487-500 (2022) - [c15]Kexin Wang, Yeqing Feng, Le Liang, Shi Jin:
Joint Spectrum Allocation and Power Control in Vehicular Networks Based on Reinforcement Learning. ISWCS 2022: 1-6 - [c14]Kai Huang, Zezhou Luo, Le Liang, Shi Jin:
Fast Spectrum Sharing in Vehicular Networks: A Meta Reinforcement Learning Approach. VTC Fall 2022: 1-5 - [c13]Jiachen Li, Boning Gao, Zhexuan Yu, Cen Li, Wankai Tang, Le Liang, Xiao Li, Shi Jin, Qiang Cheng, Tie Jun Cui:
Coverage Enhancement of 5G Commercial Network based on Reconfigurable Intelligent Surface. VTC Fall 2022: 1-5 - [c12]Yucheng Sheng, Fang Li, Le Liang, Shi Jin:
A Multi-Task Semantic Communication System for Natural Language Processing. VTC Fall 2022: 1-5 - [i17]Chongtao Guo, Zhengchao Li, Le Liang, Geoffrey Ye Li:
Reinforcement Learning Based Power Control for Reliable Wireless Transmission. CoRR abs/2202.06345 (2022) - [i16]Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang:
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications. CoRR abs/2204.02321 (2022) - 2021
- [j25]Le Liang, Guoli Wang:
Efficient recurrent attention network for remote sensing scene classification. IET Image Process. 15(8): 1712-1721 (2021) - [j24]Le Liang, Yanyan Chen, LiangChuang Liao, Hongwei Sun, Yanjie Liu:
A novel impedance control method of rubber unstacking robot dealing with unpredictable and time-variable adhesion force. Robotics Comput. Integr. Manuf. 67: 102038 (2021) - [j23]Le Liang, Yu Wang, Zhongming Yan, Weirong Chen:
Exploration of a Novel HTS Thin-Film Device Combined With Roles of Transformer and Overcurrent Limiter. IEEE Trans. Ind. Electron. 68(9): 8141-8148 (2021) - [j22]Deepak Dasalukunte, Richard Dorrance, Le Liang, Lu Lu:
A Vector Processor for Mean Field Bayesian Channel Estimation. IEEE Trans. Very Large Scale Integr. Syst. 29(7): 1348-1359 (2021) - [j21]Yuyao Sun, Wei Xu, Le Liang, Ning Wang, Geoffrey Ye Li, Xiaohu You:
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems. IEEE Wirel. Commun. Lett. 10(8): 1840-1844 (2021) - [i15]Yuyao Sun, Wei Xu, Le Liang, Ning Wang, Geoffrey Ye Li, Xiaohu You:
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems. CoRR abs/2105.10283 (2021) - [i14]Hao Ye, Le Liang, Geoffrey Li:
Decentralized Federated Learning with Unreliable Communications. CoRR abs/2108.02397 (2021) - 2020
- [j20]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) - [j19]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) - [j18]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)
2010 – 2019
- 2019
- [b1]Le Liang:
Resource Allocation for Vehicular Communications. Georgia Institute of Technology, Atlanta, GA, USA, 2019 - [j17]Huimin Deng, Yu Wang, Guangcheng Fan, Le Liang, Zhongming Yan:
Design and Test of a Single-Stage Double-Layer Multipole Field Electromagnetic Launcher With a Rotational Performance. IEEE Access 7: 112008-112014 (2019) - [j16]Le Liang, Hao Ye, Geoffrey Ye Li:
Toward Intelligent Vehicular Networks: A Machine Learning Framework. IEEE Internet Things J. 6(1): 124-135 (2019) - [j15]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Low-Latency Vehicular Communications: An Effective Capacity Perspective. IEEE J. Sel. Areas Commun. 37(4): 905-917 (2019) - [j14]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) - [j13]Hai-xia Peng, Le Liang, Xuemin Shen, Geoffrey Ye Li:
Vehicular Communications: A Network Layer Perspective. IEEE Trans. Veh. Technol. 68(2): 1064-1078 (2019) - [j12]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for High-Reliability Low-Latency Vehicular Communications With Packet Retransmission. IEEE Trans. Veh. Technol. 68(7): 6219-6230 (2019) - [j11]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Vehicular Communications With Low Latency and High Reliability. IEEE Trans. Wirel. Commun. 18(8): 3887-3902 (2019) - [j10]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for V2X Communications: A Large Deviation Theory Perspective. IEEE Wirel. Commun. Lett. 8(4): 1108-1111 (2019) - [c11]Le Liang, Hao Ye, Geoffrey Ye Li:
Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks. SPAWC 2019: 1-5 - [c10]Hao Ye, Le Liang, Geoffrey Ye Li:
Circular Convolutional Auto-Encoder for Channel Coding. SPAWC 2019: 1-5 - [i13]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) - [i12]Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. CoRR abs/1905.02910 (2019) - [i11]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) - [i10]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Allocate Resources in Vehicular Networks. CoRR abs/1908.03447 (2019) - [i9]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
- [j9]Leyuan Pan, Le Liang, Wei Xu, Xiaodai Dong:
Framework of Channel Estimation for Hybrid Analog-and-Digital Processing Enabled Massive MIMO Communications. IEEE Trans. Commun. 66(9): 3902-3915 (2018) - [j8]Le Liang, Shijie Xie, Geoffrey Ye Li, Zhi Ding, Xingxing Yu:
Graph-Based Resource Sharing in Vehicular Communication. IEEE Trans. Wirel. Commun. 17(7): 4579-4592 (2018) - [j7]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) - [c9]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Low-Latency Vehicular Communications with Packet Retransmission. GLOBECOM 2018: 1-6 - [c8]Le Liang, Shijie Xie, Geoffrey Ye Li, Zhi Ding, Xingxing Yu:
Graph-Based Radio Resource Management for Vehicular Networks. ICC 2018: 1-6 - [i8]Le Liang, Shijie Xie, Geoffrey Ye Li, Zhi Ding, Xingxing Yu:
Graph-Based Radio Resource Management for Vehicular Networks. CoRR abs/1801.02679 (2018) - [i7]Le Liang, Hao Ye, Geoffrey Ye Li:
Towards Intelligent Vehicular Networks: A Machine Learning Framework. CoRR abs/1804.00338 (2018) - [i6]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Low-Latency Vehicular Communications with Packet Retransmission. CoRR abs/1806.03343 (2018) - 2017
- [j6]Le Liang, Geoffrey Ye Li, Wei Xu:
Resource Allocation for D2D-Enabled Vehicular Communications. IEEE Trans. Commun. 65(7): 3186-3197 (2017) - [j5]Le Liang, Hai-xia Peng, Geoffrey Ye Li, Xuemin Shen:
Vehicular Communications: A Physical Layer Perspective. IEEE Trans. Veh. Technol. 66(12): 10647-10659 (2017) - [j4]Le Liang, Joonbeom Kim, Satish Chandra Jha, Kathiravetpillai Sivanesan, Geoffrey Ye Li:
Spectrum and Power Allocation for Vehicular Communications With Delayed CSI Feedback. IEEE Wirel. Commun. Lett. 6(4): 458-461 (2017) - [c7]Le Liang, Geoffrey Ye Li, Wei Xu:
Meeting different QoS requirements of vehicular networks: A D2D-based approach. ICASSP 2017: 3734-3738 - [c6]Yao Yan, Le Liang, Yanyan Chen, Yue Wang, Yanjie Liu:
A Method of Computed-Torque Deviation Coupling Control Based on Friction Compensation Analysis. ICIRA (2) 2017: 800-811 - [c5]Qirong Tang, Le Liang, Yinghao Li, Zhenqiang Deng, Yinan Guo, Hai Huang:
An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm. ICSI (1) 2017: 394-401 - [i5]Le Liang, Hai-xia Peng, Geoffrey Ye Li, Xuemin Shen:
Vehicular Communications: A Physical Layer Perspective. CoRR abs/1704.05746 (2017) - [i4]Hai-xia Peng, Le Liang, Xuemin Shen, Geoffrey Ye Li:
Vehicular Communications: A Network Layer Perspective. CoRR abs/1707.09972 (2017) - [i3]Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu:
Machine Learning for Vehicular Networks. CoRR abs/1712.07143 (2017) - [i2]Leyuan Pan, Le Liang, Wei Xu, Xiaodai Dong:
Framework of Channel Estimation for Hybrid Analog-and-Digital Processing Enabled Massive MIMO Communications. CoRR abs/1712.08846 (2017) - 2016
- [c4]Le Liang, Yanjie Liu, Haijun Han, Mingyue Wu, Qingwu Ma:
A method of structure optimization for high-speed and heavy-load robot based on dynamic characteristic analysis. AIM 2016: 1461-1466 - 2014
- [j3]Le Liang, Wei Xu, Xiaodai Dong:
Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems. IEEE Wirel. Commun. Lett. 3(6): 653-656 (2014) - [j2]Wei Xu, Le Liang:
On Coordinated Multi-point Transmission with Partial Channel State Information Via Delayed Feedback. Wirel. Pers. Commun. 75(4): 2103-2119 (2014) - [c3]Le Liang, Yongyu Dai, Wei Xu, Xiaodai Dong:
How to approach zero-forcing under RF chain limitations in large mmWave multiuser systems? ICCC 2014: 518-522 - [i1]Le Liang, Wei Xu, Xiaodai Dong:
Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems. CoRR abs/1410.3947 (2014) - 2013
- [j1]Le Liang, Wei Xu, Xiaodai Dong:
Limited Feedback-Based Multi-Antenna Relay Broadcast Channels with Block Diagonalization. IEEE Trans. Wirel. Commun. 12(8): 4092-4101 (2013) - 2012
- [c2]Wei Xu, Le Liang, Hua Zhang, Shi Jin, James C. F. Li, Ming Lei:
Performance enhanced transmission in device-to-device communications: Beamforming or interference cancellation? GLOBECOM 2012: 4296-4301 - [c1]Le Liang, Wei Xu, Hua Zhang:
Adaptive coordinated multi-point transmission based on delayed limited feedback. PIMRC 2012: 2335-2340
Coauthor Index
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