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Le Liang
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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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