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ORCIDLiqun Fu 0001
Person information
- affiliation: Xiamen University, School of Informatics, China
- affiliation (former): ShanghaiTech University, China
- affiliation (former): KTH Royal Institute of Technology, Sweden
- affiliation (PhD 2010): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Liqun Fu 0002 — Surgical Navigation Specialists, Mississauga, Canada
- Liqun Fu 0003
![[0000-0003-3763-6267]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3763-6267")
(aka: Li-Qun Fu 0003) — Nanjing University of Science and Technology, School of Economics and Management, China
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Books and Theses
- 2024
[b2]Liqun Fu, Shengbo Liu, Wen Wu, Ning Zhang, Weihua Zhuang:
MAC Protocol Design in Full-Duplex Enabled Wireless Networks. Wireless Networks, Springer 2024, ISBN 978-3-031-57295-1, pp. 1-147- 2010
- [b1]Liqun Fu:
Scheduling in wireless networks with physical interference constraints. Chinese University of Hong Kong, Hong Kong, 2010
Journal Articles
- 2025
- [j46]Xiaowen Ye, Xianghao Yu, Liqun Fu:
Digital-Twin-Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems. IEEE Internet Things J. 12(9): 13005-13020 (2025) - [j45]Xiaowen Ye, Yuyi Mao, Xianghao Yu, Liqun Fu:
Intelligent Omni-Surface-Aided Integrated Sensing and Communications Based on Deep Reinforcement Learning With Knowledge Transfer. IEEE Trans. Wirel. Commun. 24(5): 4344-4360 (2025) - 2024
- [j44]Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu:
Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates. IEEE Internet Things J. 11(1): 444-461 (2024) - [j43]Xiaowen Ye, Liqun Fu, John M. Cioffi:
Joint Codebook Selection and MCS Adaptation for MmWave eMBB Services Based on Deep Reinforcement Learning. IEEE Internet Things J. 11(19): 31545-31560 (2024) - [j42]Yizhe Wang, Deqing Wang, Liqun Fu:
Pilot-Free End-to-End Underwater Acoustic Communication System Based on Autoencoder. J. Commun. Inf. Networks 9(3): 233-243 (2024) - [j41]Xiaowen Ye, Liqun Fu:
Joint MCS Adaptation and RB Allocation in Cellular Networks Based on Deep Reinforcement Learning With Stable Matching. IEEE Trans. Mob. Comput. 23(1): 549-565 (2024) - [j40]Lizhao You, Xinbo Zhao, Rui Cao, Yulin Shao, Liqun Fu:
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning. IEEE Trans. Mob. Comput. 23(5): 5212-5228 (2024) - [j39]Xiaowen Ye, Liqun Fu:
Joint Codebook Selection and UE Scheduling for Unlicensed MmWave NR-U/WiGig Coexistence Based on Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 23(9): 8919-8934 (2024) - [j38]Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han:
From Learning to Analytics: Improving Model Efficacy With Goal-Directed Client Selection. IEEE Trans. Mob. Comput. 23(12): 10803-10817 (2024) - [j37]Jingwen Tong, Xinran Li, Liqun Fu, Jun Zhang, Khaled B. Letaief:
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation. IEEE Trans. Mob. Comput. 23(12): 15274-15288 (2024) - [j36]Lizhao You, Zhirong Tang, Pengbo Wang, Zhaorui Wang, Haipeng Dai, Liqun Fu:
Quick and Reliable LoRa Data Aggregation Through Multi-Packet Reception. IEEE/ACM Trans. Netw. 32(2): 1616-1630 (2024) - [j35]Kaiqi Zhong, Shengbo Liu, Liqun Fu:
Throughput Maximization in Cellular Networks With Wireless Backhaul and Energy Harvesting. IEEE Trans. Veh. Technol. 73(3): 3551-3567 (2024) - [j34]Xiaowen Ye, Qian Zhou, Liqun Fu:
Deep Reinforcement Learning-Based Scheduling for NR-U/WiGig Coexistence in Unlicensed mmWave Bands. IEEE Trans. Wirel. Commun. 23(1): 58-73 (2024) - [j33]Jiangbin Lyu, Xu Chen, Jiefeng Zhang, Liqun Fu:
Spatial Deep Learning for Site-Specific Movement Optimization of Aerial Base Stations. IEEE Trans. Wirel. Commun. 23(7): 7712-7727 (2024) - [j32]Liqun Fu, Jingwen Tong, Tongtong Lin, Jun Zhang:
Data-Driven Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds. IEEE Trans. Wirel. Commun. 23(10): 13707-13721 (2024) - 2023
- [j31]Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. IEEE Commun. Surv. Tutorials 25(4): 2088-2132 (2023) - [j30]Yong Zhou, Yuanming Shi, Haibo Zhou, Jingjing Wang, Liqun Fu, Yang Yang:
Toward Scalable Wireless Federated Learning: Challenges and Solutions. IEEE Internet Things Mag. 6(4): 10-16 (2023) - [j29]Shengbo Liu, Liqun Fu:
Improving End-to-end Throughput in Multi-Hop Wireless Networks With Cut-Through Capability. IEEE Trans. Mob. Comput. 22(3): 1521-1535 (2023) - [j28]Xiaowen Ye, Yiding Yu, Liqun Fu:
Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems. IEEE Trans. Veh. Technol. 72(6): 7364-7379 (2023) - [j27]Jingwen Tong, Liqun Fu, Yizhe Wang, Zhu Han:
Model-Based Thompson Sampling for Frequency and Rate Selection in Underwater Acoustic Communications. IEEE Trans. Wirel. Commun. 22(10): 6946-6961 (2023) - 2022
- [j26]Jiangbin Lyu, Dan Yu, Liqun Fu:
Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability. IEEE Internet Things J. 9(12): 9574-9590 (2022) - [j25]Jingwen Tong, Hongliang Zhang, Liqun Fu, Amir Leshem, Zhu Han:
Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via Multi-player Bandits. IEEE Trans. Commun. 70(5): 3526-3541 (2022) - [j24]Xiaowen Ye, Yiding Yu, Liqun Fu:
Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks. IEEE Trans. Mob. Comput. 21(5): 1625-1638 (2022) - [j23]Xiaowen Ye, Yiding Yu, Liqun Fu:
Multi-Channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 21(2): 794-807 (2022) - [j22]Zhibin Wang, Jiahang Qiu, Yong Zhou, Yuanming Shi, Liqun Fu, Wei Chen, Khaled B. Letaief:
Federated Learning via Intelligent Reflecting Surface. IEEE Trans. Wirel. Commun. 21(2): 808-822 (2022) - [j21]Jingwen Tong, Liqun Fu, Zhu Han:
Age-of-Information Oriented Scheduling for Multichannel IoT Systems With Correlated Sources. IEEE Trans. Wirel. Commun. 21(11): 9775-9790 (2022) - [j20]Yifan Zhang, Jiangbin Lyu, Liqun Fu:
Energy-Efficient Trajectory Design for UAV-Aided Maritime Data Collection in Wind. IEEE Trans. Wirel. Commun. 21(12): 10871-10886 (2022) - 2021
- [j19]Zhaoxi Wu, Liqun Fu:
Optimizing job completion time with fairness in large-scale data centers. Future Gener. Comput. Syst. 114: 563-573 (2021) - [j18]Jingwen Tong, Liqun Fu, Zhu Han:
Throughput Enhancement of Full-Duplex CSMA Networks Using Multiplayer Bandits. IEEE Internet Things J. 8(15): 11807-11821 (2021) - 2020
- [j17]Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang:
Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. IEEE Internet Things J. 7(3): 1690-1703 (2020) - [j16]Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen:
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface. IEEE Netw. 34(5): 16-22 (2020) - [j15]Shengbo Liu, Liqun Fu, Wei Xie:
Hidden-Node Problem in Full-Duplex Enabled CSMA Networks. IEEE Trans. Mob. Comput. 19(2): 347-361 (2020) - [j14]Shijun Lin, Haichuan Ding, Liqun Fu, Yuguang Fang, Jianghong Shi:
Energy Minimization of Multi-Cell Cognitive Capacity Harvesting Networks With Neighbor Resource Sharing. IEEE Trans. Wirel. Commun. 19(5): 3199-3213 (2020) - 2019
- [j13]Deqing Wang, Haiyu Li, Yongjun Xie, Xiaoyi Hu, Liqun Fu:
Channel-Adaptive Location-Assisted Wake-up Signal Detection Approach Based on LFM Over Underwater Acoustic Channels. IEEE Access 7: 93806-93819 (2019) - 2018
- [j12]Shengbo Liu, Liqun Fu:
全双工CSMA网络中的隐藏终端问题研究 (Study of Hidden Node Problem in Full-duplex Enabled CSMA Networks). 计算机科学 45(11A): 282-286 (2018) - 2017
- [j11]Demia Della Penda, Liqun Fu, Mikael Johansson:
Energy Efficient D2D Communications in Dynamic TDD Systems. IEEE Trans. Commun. 65(3): 1260-1273 (2017) - [j10]Shijun Lin, Liqun Fu, Yong Li:
Energy Saving With Network Coding Design Over Rayleigh Fading Channel. IEEE Trans. Wirel. Commun. 16(7): 4503-4518 (2017) - 2016
- [j9]Shijun Lin, Liqun Fu:
Throughput Capacity of IEEE 802.11 Many-to/From-One Bidirectional Networks With Physical-Layer Network Coding. IEEE Trans. Wirel. Commun. 15(1): 217-231 (2016) - [j8]Shijun Lin, Liqun Fu, Jianmin Xie, Xijun Wang:
Hybrid Network Coding for Unbalanced Slotted ALOHA Relay Networks. IEEE Trans. Wirel. Commun. 15(1): 298-313 (2016) - 2015
- [j7]Liqun Fu, Mikael Johansson, Mats Bengtsson:
Energy Efficient Transmissions in Cognitive MIMO Systems With Multiple Data Streams. IEEE Trans. Wirel. Commun. 14(9): 5171-5184 (2015) - 2013
- [j6]Liqun Fu, Ying Jun (Angela) Zhang, Jianwei Huang:
Energy Efficient Transmissions in MIMO Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 31(11): 2420-2431 (2013) - [j5]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Effective Carrier Sensing in CSMA Networks under Cumulative Interference. IEEE Trans. Mob. Comput. 12(4): 748-760 (2013) - [j4]Shijun Lin, Liqun Fu:
Unsaturated Throughput Analysis of Physical-Layer Network Coding Based on IEEE 802.11 Distributed Coordination Function. IEEE Trans. Wirel. Commun. 12(11): 5544-5556 (2013) - 2011
- [j3]Liqun Fu, Hongseok Kim, Jianwei Huang, Soung Chang Liew, Mung Chiang:
Energy Conservation and Interference Mitigation: From Decoupling Property to Win-Win Strategy. IEEE Trans. Wirel. Commun. 10(11): 3943-3955 (2011) - 2010
- [j2]Wei Xie, Ying Jun (Angela) Zhang, Mihail L. Sichitiu, Liqun Fu, Yan Yao:
Feasibility of optimally assigning channels by exhaustive search in commercial multi-radio wireless mesh networks. Telecommun. Syst. 44(1-2): 171-178 (2010) - [j1]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Fast algorithms for joint power control and scheduling in wireless networks. IEEE Trans. Wirel. Commun. 9(3): 1186-1197 (2010)
Conference and Workshop Papers
- 2025
- [c46]Yanxin Qian, Yan Zhong, Lizhao You, Songtao Liu, Nanqing Zhou, Liqun Fu:
A Practical Deep Reinforcement Learning-Based QoS-Aware Scheduler for 5G Cellular Networks. WASA (3) 2025: 317-328 - [c45]Shumin Lian, Jingwen Tong, Liqun Fu:
Dynamic Channel Allocation via Bandit Learning for WiFi 7 Networks with Multi-Link Operation. WCNC 2025: 1-6 - 2024
- [c44]Rongyou Cao, Yuheng Zhong, Jiangbin Lyu, Deqing Wang, Liqun Fu:
AFDM Channel Estimation in Multi-Scale Multi-Lag Channels. GLOBECOM 2024: 1569-1574 - [c43]Weiya Ni, Jingwen Tong, Liqun Fu:
Online Resource Allocation for User Experience Improvement in Heterogeneous MEC Systems. GLOBECOM 2024: 3419-3424 - [c42]Chaohui Xu, Liqun Fu:
Parallel Computing for mmWave Beam Tracking Based on LSTM and Adversarial Sparse Transformer. GLOBECOM 2024: 4780-4785 - [c41]Wenjun Xie, Enqi Zhang, Lizhao You, Deqing Wang, Zhaorui Wang, Liqun Fu:
Combating Multi-Path Interference to Improve Chirp-Based Underwater Acoustic Communication. ICC 2024: 5377-5382 - [c40]Dongsheng Fu, Xintong Chen, Jiangbin Lyu, Liqun Fu:
Site-Specific Deployment Optimization of Intelligent Reflecting Surface for Coverage Enhancement. VTC Spring 2024: 1-7 - [c39]Guanglong Pang, Lizhao You, Liqun Fu:
An Efficient DRL-Based Link Adaptation for Cellular Networks with Low Overhead. WCNC 2024: 1-6 - [c38]Jielin Zhu, Youlong Wu, Dingzhu Wen, Xuan Liu, Liqun Fu, Yuanming Shi:
Fisher-Robust Information Bottleneck for Task-Oriented Communication with Noisy Data. WCSP 2024: 78-83 - 2023
- [c37]Hao Chen, Yili Jin, Weipeng Wang, Wei Liu, Lizhao You, Liqun Fu, Qiao Xiang:
When Configuration Verification Meets Machine Learning: A DRL Approach for Finding Minimum k-Link Failures. APNOMS 2023: 83-88 - [c36]Hao Chen, Peng Liu, Lizhao You, Ziyang Guo, Jianjun Luo, Xinghua Sun, Taotao Wang, Liqun Fu:
Deep Reinforcement Learning based Dynamic Channel Bonding for Wi-Fi Networks. ISPA/BDCloud/SocialCom/SustainCom 2023: 153-160 - [c35]Anqi Xue, Weipeng Wang, Liqun Fu:
Deep-Unfolding Aided Hybrid Precoding Design Based on Penalty Dual Decomposition for Full-Duplex mmWave System. GLOBECOM 2023: 2943-2948 - [c34]Xintong Chen, Jiangbin Lyu, Liqun Fu:
IRS-Aided Sectorized Base Station Design and 3D Coverage Performance Analysis. IWQoS 2023: 1-10 - [c33]Yan Zhong, Hao Chen, Wei Liu, Lizhao You, Taotao Wang, Liqun Fu:
Deep Reinforcement Learning based Channel Allocation for Channel Bonding Wi-Fi Networks. MSN 2023: 113-119 - [c32]Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu:
Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates. WCNC 2023: 1-6 - [c31]Jiajie Huang, Xiaowen Ye, Liqun Fu:
MAC Protocol for Underwater Acoustic Multi-Cluster Networks Based on Multi-Agent Reinforcement Learning. WUWNet 2023: 10:1-10:5 - 2022
- [c30]Zhenzhen Chen, Jingwen Tong, Liqun Fu, Zhu Han:
Over-the-Air Computing Aided Federated Learning and Analytics via Belief Propagation Based Stochastic Bandits. ICC 2022: 2804-2809 - [c29]Qian Zhou, Xiaowen Ye, Liqun Fu:
Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands. ICC 2022: 4468-4473 - [c28]Xinbo Zhao, Lizhao You, Rui Cao, Yulin Shao, Liqun Fu:
Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning. ICC 2022: 5359-5364 - [c27]Zhirong Tang, Lizhao You, Haipeng Dai, Liqun Fu:
Quick and Reliable Physical-layer Data Aggregation in LoRa through Multi-Packet Reception. SECON 2022: 118-126 - 2021
- [c26]Xinglong Han, Shengbo Liu, Liqun Fu:
Hybrid Beamforming for Full-Duplex Enabled Cellular System in the Unlicensed mmWave Band. GLOBECOM 2021: 1-6 - [c25]Bifeng Ling, Jiangbin Lyu, Liqun Fu:
Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System. GLOBECOM 2021: 1-6 - [c24]Tongtong Lin, Jiahang Qiu, Liqun Fu:
Online Learning and Resource Allocation for User Experience Improvement in Mobile Edge Clouds. ICC 2021: 1-6 - [c23]Kaiqi Zhong, Liqun Fu:
Optimal Throughput of the Full-Duplex Two-Way Relay System with Energy Harvesting. VTC Fall 2021: 1-6 - 2020
- [c22]Yufang Huang, Shengbo Liu, Liqun Fu:
Balancing Hidden-node and Exposed-node Problems in Full-duplex Enabled CSMA Networks. GLOBECOM (Workshops) 2020: 1-6 - [c21]Xiaowen Ye, Yiding Yu, Liqun Fu:
MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning. GLOBECOM 2020: 1-6 - [c20]Yifan Zhang, Jiangbin Lyu, Liqun Fu:
Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind. GLOBECOM 2020: 1-6 - [c19]Jin Qiu, Jiangbin Lyu, Liqun Fu:
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning. ICC 2020: 1-6 - [c18]Jingwen Tong, Shuyue Lai, Liqun Fu, Zhu Han:
Optimal Frequency and Rate Selection Using Unimodal Objective Based Thompson Sampling Algorithm. ICC 2020: 1-7 - [c17]Jiangbin Lyu, Dan Yu, Liqun Fu:
Achieving Max-Min Throughput in LoRa Networks. ICNC 2020: 471-476 - [c16]Shengbo Liu, Liqun Fu:
End-to-end Throughput Optimization in Multi-hop Wireless Networks with Cut-through Capability. WCNC 2020: 1-7 - 2019
- [c15]Jingwen Tong, Liqun Fu, Zhu Han:
Throughput Enhancement of Full-Duplex CSMA Networks via Adversarial Multi-Player Multi-Armed Bandit. GLOBECOM 2019: 1-6 - [c14]Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang:
Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. ICC 2019: 1-7 - [c13]Kaiqi Zhong, Liqun Fu:
Optimal Throughput of the ANC Based Two-Way Relay System with Energy Harvesting. VTC Fall 2019: 1-7 - 2017
- [c12]Haifeng Cao, Liqun Fu, Hongning Dai:
Throughput analysis of the two-way relay system with network coding and energy harvesting. ICC 2017: 1-6 - [c11]Shijun Lin, Liqun Fu, Kewei Li, Yong Li:
Sum-Rate Optimization for Device-to-Device Communications over Rayleigh Fading Channel. VTC Spring 2017: 1-6 - 2016
- [c10]Shijun Lin, Liqun Fu:
Energy conservation of bidirectional cellular relay network over Rayleigh fading channel. INFOCOM Workshops 2016: 835-840 - 2015
- [c9]Demia Della Penda, Liqun Fu, Mikael Johansson:
Mode selection for energy efficient D2D communications in dynamic TDD systems. ICC 2015: 5404-5409 - [c8]Hongning Dai, Raymond Chi-Wing Wong, Wei Zhang, Liqun Fu:
On percolation connectivity of large scale wireless networks with directional antennas. PIMRC 2015: 1487-1492 - 2012
- [c7]Liqun Fu, Ying Jun Zhang, Jianwei Huang:
Energy efficient transmissions in MIMO cognitive radio networks. CISS 2012: 1-6 - 2011
- [c6]Hong-Ning Dai, Soung Chang Liew, Liqun Fu:
Link scheduling in multi-transmit-receive wireless networks. LCN 2011: 199-202 - 2010
- [c5]Liqun Fu, Hongseok Kim, Jianwei Huang, Soung Chang Liew, Mung Chiang:
Energy conservation and interference mitigation: From decoupling property to win-win strategy. CDC 2010: 1830-1835 - [c4]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Effective Carrier Sensing in CSMA Networks under Cumulative Interference. INFOCOM 2010: 2588-2596 - 2009
- [c3]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Power Controlled Scheduling with Consecutive Transmission Constraints: Complexity Analysis and Algorithm Design. INFOCOM 2009: 1530-1538 - [c2]JiaLiang Zhang, Soung Chang Liew, Liqun Fu:
On Fast Optimal STDMA Scheduling over Fading Wireless Channels. INFOCOM 2009: 1710-1718 - 2008
- [c1]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization. ICC 2008: 3066-3072
Informal and Other Publications
- 2025
- [i35]Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Liqun Fu, Sai Zou, Wei Ni:
Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions. CoRR abs/2502.08118 (2025) - [i34]Houyi Qi, Minghui Liwang, Xianbin Wang, Liqun Fu, Yiguang Hong, Li Li, Zhipeng Cheng:
Accelerating Stable Matching between Workers and Time-Dependent Tasks for Dynamic MCS: A Stagewise Service Trading Approach. CoRR abs/2502.08386 (2025) - [i33]Xiaohong Yang, Minghui Liwang, Liqun Fu, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Yiguang Hong:
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT. CoRR abs/2503.06145 (2025) - [i32]Zhenyu Jiang, Xintong Chen, Jiangbin Lyu, Liqun Fu, Rui Zhang:
Quasi-Static IRS: 3D Shaped Beamforming for Area Coverage Enhancement. CoRR abs/2505.01076 (2025) - [i31]Shumin Lian, Jingwen Tong, Jun Zhang, Liqun Fu:
Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM. CoRR abs/2506.04594 (2025) - [i30]Xintong Chen, Zhenyu Jiang, Jiangbin Lyu, Liqun Fu:
Neural Channel Knowledge Map Assisted Scheduling Optimization of Active IRSs in Multi-User Systems. CoRR abs/2508.07009 (2025) - 2024
- [i29]Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han:
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection. CoRR abs/2404.00371 (2024) - [i28]Yiling Wang, Jiangbin Lyu, Liqun Fu:
Fast Online Movement Optimization of Aerial Base Stations Based on Global Connectivity Map. CoRR abs/2405.02655 (2024) - [i27]Rongyou Cao, Yuheng Zhong, Jiangbin Lyu, Deqing Wang, Liqun Fu:
AFDM Channel Estimation in Multi-Scale Multi-Lag Channels. CoRR abs/2405.02660 (2024) - [i26]Dongsheng Fu, Xintong Chen, Jiangbin Lyu, Liqun Fu:
Site-Specific Deployment Optimization of Intelligent Reflecting Surface for Coverage Enhancement. CoRR abs/2405.02818 (2024) - [i25]Jingwen Tong, Xinran Li, Liqun Fu, Jun Zhang, Khaled B. Letaief:
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation. CoRR abs/2406.07992 (2024) - [i24]Xiaowen Ye, Yuyi Mao, Xianghao Yu, Shu Sun, Liqun Fu, Jie Xu:
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach. CoRR abs/2412.04074 (2024) - [i23]Xiaowen Ye, Xianghao Yu, Liqun Fu:
Digital Twin Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems. CoRR abs/2412.18856 (2024) - 2023
- [i22]Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. CoRR abs/2301.03377 (2023) - [i21]Shengbo Liu, Wen Wu, Liqun Fu, Kaige Qu, Qiang Ye, Weihua Zhuang, Sherman X. Shen:
Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization. CoRR abs/2305.18834 (2023) - [i20]Yong Zhou, Yuanming Shi, Haibo Zhou, Jingjing Wang, Liqun Fu, Yang Yang:
Towards Scalable Wireless Federated Learning: Challenges and Solutions. CoRR abs/2310.05076 (2023) - [i19]Wenjun Xie, Enqi Zhang, Lizhao You, Deqing Wang, Zhaorui Wang, Liqun Fu:
Combating Multi-path Interference to Improve Chirp-based Underwater Acoustic Communication. CoRR abs/2311.17624 (2023) - [i18]Xintong Chen, Jiangbin Lyu, Liqun Fu:
IRS-Aided Sectorized Base Station Design and 3D Coverage Performance Analysis. CoRR abs/2312.10475 (2023) - [i17]Jiangbin Lyu, Xu Chen, Jiefeng Zhang, Liqun Fu:
Spatial Deep Learning for Site-Specific Movement Optimization of Aerial Base Stations. CoRR abs/2312.10490 (2023) - 2022
- [i16]Lizhao You, Zhirong Tang, Pengbo Wang, Zhaorui Wang, Haipeng Dai, Liqun Fu:
Quick and Reliable LoRa Physical-layer Data Aggregation through Multi-Packet Reception. CoRR abs/2212.06582 (2022) - [i15]Lizhao You, Xinbo Zhao, Rui Cao, Yulin Shao, Liqun Fu:
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning. CoRR abs/2212.06596 (2022) - 2021
- [i14]Bifeng Ling, Jiangbin Lyu, Liqun Fu:
Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System. CoRR abs/2105.13600 (2021) - [i13]Xinbo Zhao, Lizhao You, Rui Cao, Yulin Shao, Liqun Fu:
Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning. CoRR abs/2111.10508 (2021) - [i12]Yifan Zhang, Jiangbin Lyu, Liqun Fu:
Energy-Efficient Trajectory Design for UAV-Aided Maritime Data Collection in Wind. CoRR abs/2112.13396 (2021) - 2020
- [i11]Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen:
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface. CoRR abs/2004.05843 (2020) - [i10]Yifan Zhang, Jiangbin Lyu, Liqun Fu:
Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind. CoRR abs/2006.01371 (2020) - [i9]Jiangbin Lyu, Dan Yu, Liqun Fu:
Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability. CoRR abs/2008.07438 (2020) - [i8]Xiaowen Ye, Yiding Yu, Liqun Fu:
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols. CoRR abs/2008.11621 (2020) - [i7]Zhibin Wang, Jiahang Qiu, Yong Zhou, Yuanming Shi, Liqun Fu, Wei Chen, Khaled B. Letaief:
Federated Learning via Intelligent Reflecting Surface. CoRR abs/2011.05051 (2020) - 2019
- [i6]Jiangbin Lyu, Dan Yu, Liqun Fu:
Achieving Max-Min Throughput in LoRa Networks. CoRR abs/1904.12300 (2019) - [i5]Jin Qiu, Jiangbin Lyu, Liqun Fu:
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning. CoRR abs/1911.08111 (2019) - 2015
- [i4]Demia Della Penda, Liqun Fu, Mikael Johansson:
Energy efficient D2D communications in dynamic TDD systems. CoRR abs/1506.00412 (2015) - 2011
- [i3]Hong-Ning Dai, Soung Chang Liew, Liqun Fu:
Link Scheduling in Multi-Transmit-Receive Wireless Networks. CoRR abs/1107.1941 (2011) - 2009
- [i2]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Safe Carrier Sensing Range in CSMA Network under Physical Interference Model. CoRR abs/0901.3611 (2009) - [i1]Liqun Fu, Soung Chang Liew, Jianwei Huang:
Effective Carrier Sensing in CSMA Networks under Cumulative Interference. CoRR abs/0912.2138 (2009)
Coauthor Index
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2025-09-14 22:34 CEST by the dblp team
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