付立群

闽江学者特聘教授, 博士生导师
地址: 厦门大学海韵校区行政C楼#705B 邮编：361005
邮箱: liqun @ xmu.edu.cn
谷歌学术主页

简介

付立群，厦门大学闽江学者特聘教授，博士生导师；导航与位置服务技术国家地方联合工程研究中心副主任；未来网络实验室(FUNLab)主任。香港中文大学信息工程学系博士,香港中文大学网络编码研究所以及KTH瑞典皇家理工学院博士后。入选第十二批国家海外高层次引进人才（青年项目），福建省“闽江学者”奖励计划,以及福建省百人计划高层次引进人才。IEEE 高级会员。
付教授目前的研究领域主要包括大规模网络资源调度及优化，无线通信与网络，水声通信与网络等。近年来在本领域国际顶级期刊和会议上发表学术论文六十余篇。其科研工作曾获得香港中文大学颁发的杰出学者国际研究基金以及瑞典皇家理工学院ACCESS学者研究基金。担任IEEE通信学会亚太区信息服务委员会副主席(2018-2019), IEEE Comsoc绿色通信与计算委员会绿色认知通信和计算网络专题组副主席(2012-2014)。担任IEEE Communications Letters 编委(2021-至今), JCIN期刊编委_2019-至今）。多次担任本领域顶级国际会议委员会（副)主席:IEEE INFOCOM GCCCN Workshop 2014, IEEE INFOCOM GSCN Workshop 2016, IEEE WiOpt 2018等国际会议技术委员会\宣传\网页宣传主席。

研究方向

下一代无线系统的网络优化和资源管理
大规模数据网络
绿色无线网络和能源系统
机器学习和边缘计算
物联网：LoRa

科研项目

项目负责人，“近海多域资源融合与空海一体智能组网关键技术研究”，国家自然科学基金委， 2024.01-2027.12，RMB 2,580,000.
项目负责人，厦门大学信息学院-爱瑞通信系统（厦门）有限公司产学研联合实验室，共建平台， 2023.09-2026.09，RMB 2,400,000.
项目负责人，“基于MAB的智能无线网络资源分配与优化”，重点实验室访问（开放）基金课题， 2023.1-2024.12，RMB 75,138.
项目负责人，“基于AI感知舱的云边协同平台研发与产业化”，福建省经信委， 2022.09-2023.8，RMB 1,000,000.
项目负责人，“5G系统仿真开发平台”，委托开发， 2022.05-2023.8，RMB 300,000.
项目负责人，“青年千人计划”研究基金，中共中央组织部， 2017.01-2020.01，RMB 2,000,000.
项目负责人，研究启动资金，厦门大学，2017.01-2022.01，RMB 2,000,000.
项目负责人，“基于非凸优化的无线网络节能设计和资源分配”，No. 61771017，国家自然科学基金面上项目，2018.1-2021.12， RMB 500,000.
项目负责人，“福建省百强人才计划”研究基金，福建省组织部， 2018.01-2022.01，RMB 500,000.
共同主持人，“大规模无线自组织网络：性能分析和性能改进”，No. 096/2013/A3，澳门科技发展基金，2014.01-2017.01，MOP 1,356,000.
共同主持人，“分布式无线网络中物理层网络编码的性能分析”，国家自然科学基金面上项目，No. 61401380，2015.01-2017.12，RMB 250,000.

专著

Liqun Fu, “Energy-Efficient Design in Cognitive MIMO System”, a book chapter in Handbook of Cognitive Radio, Springer, May 2017 (ISBN: 978-981-10-1389-8).
Liqun Fu, Hongseok Kim, Jianwei Huang, Soung Chang Liew, and Mung Chiang, “Energy Conservation in Multi-cell Networks,” a book chapter in Green Communications: Theoretical Fundamentals, Algorithms, and Applications, CRC Press, Sep. 2012 (ISBN-10: 1466501073, ISBN- 13: 978-1466501072).

部分发表论文

期刊论文

Lizhao You, Zhirong Tang, Pengbo Wang, Zhaorui Wang, Haipeng Dai, Liqun Fu, "Quick and Reliable LoRa Data Aggregation Through Multi-Packet Reception," IEEE/ACM Transactions on Networking, 2023.
Kaiqi Zhong, Shengbo Liu, Liqun Fu, "Throughput Maximization in Cellular Networks With Wireless Backhaul and Energy Harvesting," IEEE Transactions on Vehicular Technology, 2023.
Yong Zhou, Yuanming Shi, Haibo Zhou, Jingjing Wang, Liqun Fu, Yang Yang, "Towards Scalable Wireless Federated Learning: Challenges and Solutions," arXiv preprint arXiv:2310.05076, 2023.
Lizhao You, Xinbo Zhao, Rui Cao, Yulin Shao, Liqun Fu, "Broadband digital over-the-air computation for wireless federated edge learning," IEEE Transactions on Mobile Computing, 2023.
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 Communications Surveys & Tutorials, 2023.
Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu, "Latency Minimization for Wireless Federated Learning with Heterogeneous Local Model Updates," IEEE In
Shengbo Liu, Wen Wu, Liqun Fu, Kaige Qu, Qiang Ye, Weihua Zhuang, Sherman Shen, "Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization," arXiv preprint arXiv:2305.18834, 2023.
Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu, "Deep Reinforcement Learning Based Scheduling for NR-U/WiGig Coexistence in Unlicensed MmWave Bands," IEEE Transactions on Wireless Communications, 2023.
Jingwen Tong, Liqun Fu, Zhu Han, "Model-Based Thompson Sampling for Frequency and Rate Selection in Underwater Acoustic Communications," IEEE Transactions on Wireless Communications, 2023.
Xiaowen Ye, Yiding Yu, Liqun Fu, "Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems," IEEE Transactions on Vehicular Technology, 2023.
Yifan Zhang, Jiangbin Lyu, and Liqun Fu, “Energy-Efficient Trajectory Design for UAV-Aided Maritime Data Collection in Wind,”accepted by IEEE Transactions on Wireless Communications, Jun. 21st, 2022.
Jingwen Tong, Liqun Fu* and Zhu Han, “Age-of-Information Oriented Scheduling for MultiChannel IoT Systems with Correlated Sources,” accepted by IEEE Transactions on Wireless Communications, May 23rd, 2022.

Jiangbin Lyu, Dan Yu, and Liqun Fu*, “Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability,” IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9574-9590, Jun. 2022.
Xiaowen Ye, Yiding Yu, and Liqun Fu*, “Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks,” IEEE Transactions on Mobile Computing, vol. 21, no. 5, pp. 1625-1638, May 2022.
Jingwen Tong, Hongliang Zhang, Liqun Fu*, Amir Leshem, and Zhu Han, “Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via MultiPlayer Bandits,”, accepted by IEEE Transactions on Communications, Mar. 13th, 2022.
Shengbo Liu, and Liqun Fu*, “Improving End-to-end Throughput in Multi-hop Wireless
Zhibin Wang, Jiahang Qiu, Yong Zhou*, Yuanming Shi, Liqun Fu*, Wei Chen, and Khaled B. Letaief, “Federated Learning via Intelligent Reflecting Surface,” IEEE Transactions on Wireless Communications, vol. 21, no. 2, pp. 808-822, Feb. 2022.
Xiaowen Ye, Yiding Yu, and Liqun Fu*, “Multi-channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning,” IEEE Transactions on Wireless Communications, vol. 21. no. 2, pp. 794-807, Feb. 2022.
Jingwen Tong, Liqun Fu* and Zhu Han, “Throughput Enhancement of Full Duplex CSMA Networks Using Multi-Player Bandits”, IEEE Internet of Things Journal, vol. 8, no. 15, pp. 11807-11821, Aug. 2021.
Zhaoxi Wu and Liqun Fu*, “Optimizing Job Completion Time with Fairness in Large-scale Data Centers,” Future Generation Computer Systems, vol. 114, pp. 563-573, Jan. 2021.
Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, and Wei Chen, “Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface,” IEEE Network Magazine, vol. 34, no. 5, pp. 16-22, Sept./Oct. 2020.
Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, and Ke Tang, “Optimal Energy-Delay Scheduling for Energy Harvesting WSNs with Interference Channel via Negatively Correlated Search,” IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1690-1703, Mar. 2020.
Shengbo Liu, Liqun Fu*, and Wei Xie, “Hidden-node Problem in Full-duplex Enabled CSMA Networks,” IEEE Transactions on Mobile Computing, vol. 19, no. 2, pp. 347-361, Feb. 2020.
Shijun Lin, Liqun Fu, and Yong Li, “Energy Saving with Network Coding Design over Rayleigh Fading Channel” IEEE Transactions on Wireless Communications, vol. 16, no. 17, pp. 4503-4518, Jul. 2017.
Demia Della Penda, Liqun Fu, and Mikael Johansson “Energy Efficient D2D Communications in Dynamic TDD Systems,” IEEE Transactions on Communications, vol. 65, no. 3, pp. 1260-1273, Mar. 2017.
Shijun Lin and Liqun Fu*, “Throughput Capacity of IEEE 802.11 Many-to/from-one Bidirectional Networks with Physical-Layer Network Coding,” IEEE Transactions on Wireless Communications, vol. 15, no. 1, pp. 217-231, Jan. 2016.
Shijun Lin, Liqun Fu*, Jianmin Xie, and Xijun Wang, “Hybrid Network Coding for Unbalanced Slotted ALOHA Relay Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 1, pp. 298-313, Jan. 2016.
Liqun Fu*, Mikael Johansson, and Mats Bengtsson, “Energy Efficient Transmissions in Cognitive MIMO Systems with Multiple Data Streams,” IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp. 5171-5184, Sept. 2015.
Liqun Fu*, Ying Jun (Angela) Zhang, and Jianwei Huang, “Energy Efficient Transmissions in MIMO Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications (JSAC), vol. 31, no. 11, pp. 2420-2431, Nov. 2013.
Shijun Lin and Liqun Fu, “Unsaturated Throughput Analysis of Physical-Layer Network Coding Based on IEEE 802.11 Distributed Coordination Function,” IEEE Transactions on Wireless Communications, vol. 12, no. 11, pp. 5544-5556, Nov. 2013.
Liqun Fu*, Soung Chang Liew, and Jianwei Huang, “Effective Carrier Sensing in CSMA Networks under Cumulative Interference,” IEEE Transactions on Mobile Computing, vol. 12, no. 4, pp. 748-760, Apr. 2013.
Liqun Fu*, Hongseok Kim, Jianwei Huang, Soung Chang Liew, and Mung Chiang, “Energy Conservation and Interference Mitigation: From Decoupling Property to Win-Win Strategy,” IEEE Transactions on Wireless Communications, vol. 10, no. 11, pp. 3943-3955, Nov. 2011.
Liqun Fu*, Soung Chang Liew, and Jianwei Huang, “Fast Algorithms for Joint Power Control and Scheduling in Wireless Networks,” IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 1186-1197, Mar. 2010.
W. Xie, Y. J. Zhang, M. L. Sichitiu, Liqun Fu, and Y. Yao, “Feasibility of Optimally Assigning Channels by Exhaustive Search in Commercial Multi-radio Wireless Mesh Networks,” Springer Telecommunication Systems (Special Issue on Wireless Ad-hoc, Sensor and Mesh Networks), vol. 44, no. 1-2, pp. 171-178, Jun. 2010.

会议论文

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," in Proc. of 24st Asia-Pacific Network Operations and Management Symposium (APNOMS), IEEE, 2023, pp. 83-88.
Xintong Chen, Jiangbin Lyu, Liqun Fu, "Irs-aided sectorized base station design and 3d coverage performance analysis," in Proc. of 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS), IEEE, 2023, pp. 01-10.
Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu, "Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates," in Proc. of 2023 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, 2023, pp. 1-6.
Zhirong Tang, Lizhao You, Liqun Fu, and Haipeng Dai, “Quick and Reliable Physical-layer Data Aggregation in LoRa through Multi-Packet Reception,” in Proc. of IEEE International Conference on Sensing, Communication, and Networking (SECON), Sept., 2022.
Qian Zhou, Xiaowen Ye, and Liqun Fu*, “Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands,” in Proc. of IEEE International Conference on Communications (ICC), Seoul, South Korea, May, 2022.
Xinbo Zhao, Lizhao You, Rui Cao, Yulin Shao, and Liqun Fu, “Broadband Digital Over-theAir Computation for Asynchronous Federated Edge Learning,” in Proc. of IEEE International Conference on Communications (ICC), Seoul, South Korea, May, 2022.
Zhenzhen Chen, Jingwen Tong, Liqun Fu*, and Zhu Han, “Over-the-Air Computing Aided Federated Learning and Analytics via Belief Propagation Based Stochastic Bandits,” in Proc. of IEEE International Conference on Communications (ICC), Seoul, South Korea, May, 2022.
Xinglong Han, Shengbo Liu, and Liqun Fu*, “Hybrid Beamforming for Full-duplex Enabled Cellular System in the Unlicensed mmWave Band,” in Proc. of IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec., 2021.
Bifeng Ling, Jiangbin Lyu, and Liqun Fu, “Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System,” in Proc. of IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec., 2021.
Kaiqi Zhong and Liqun Fu*, “Optimal Throughput of the Full-duplex Two-way Relay System with Energy Harvesting,” in Proc. of IEEE Vehicular Technology Conference (VTC) (Fall), Sept., 2021.
Tongtong Lin, Jiahang Qiu, and Liqun Fu*, “Online Learning and Resource Allocation for User Experience Improvement in Mobile Edge Clouds,” in Proc. of IEEE International Conference on Communications (ICC), Jun., 2021.
Yufang Huang, Shengbo Liu, and Liqun Fu*, “Balancing Hidden-node and Exposed-node Problems in Full-duplex Enabled CSMA Networks,”in Proc. of IEEE Global Communications Conference (GLOBECOM) Workshop on Advanced Technology for 5G Plus, Taipei, Dec., 2020.
Yifan Zhang, Jiangbin Lyu, and Liqun Fu, “Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind,”in Proc. of IEEE Global Communications Conference (GLOBECOM), Taipei, Dec., 2020.
Xiaowen Ye, Yiding Yu, and Liqun Fu*, “MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning,” in Proc. of IEEE Global Communications Conference (GLOBECOM), Taipei, Dec., 2020.
Zewen Zhu, Xiaowen Ye, and Liqun Fu*, “Deep Reinforcement Learning Based Energy Efficient Underwater Acoustic Communications,” in Proc. of MTS/IEEE OCEANS Conference, Singapore-U.S. Gulf Coast, Oct., 2020.
Mengya Wang, Deqing Wang, Haiyu Li, and Liqun Fu, “A Real-Time Software-Defined Acoustic Modem Based on USRP for Underwater Communications,” in Proc. of MTS/IEEE OCEANS Conference, Singapore-U.S. Gulf Coast, Oct., 2020.
Fen Ye, Qinlin Xie, Deqing Wang, Liqun Fu, and Wen Lin, “A Low-Complexity Orthogonal Matching Pursuit based Channel Estimation Approach for Underwater Acoustic Baseband OFDM System,” in Proc. of MTS/IEEE OCEANS Conference, Singapore-U.S. Gulf Coast, Oct., 2020.
Jin Qiu, Jiangbin Lyu, and Liqun Fu, “Placement Optimization of Aerial Based Stations with Deep Reinforcement Learning,” in Proc. of IEEE International Conference on Communications (ICC), Dublin, Ireland, Jun., 2020.
Jingwen Tong, Shuyue Lai, Liqun Fu*, and Zhu Han, “Optimal Frequency and Rate Selection Using Unimodal Objective Based Thompson Sampling Algorithm,” in Proc. of IEEE International Conference on Communications (ICC), Dublin, Ireland, Jun.,2020.
Shengbo Liu, and Liqun Fu*,“End-to-end Throughput Optimization in Multi-hop Wireless Networks with Cut-through Capability,” in Proc. of IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea, Apr., 2020.
Jiangbin Lyu, Dan Yu, and Liqun Fu, “Achieving Max-Min Throughput in LoRa Networks,” in Proc. of International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, USA, Feb., 2020.
Jingwen Tong, Liqun Fu*, and Zhu Han, “Throughput Enhancement of Full-Duplex CSMA Networks via Adversarial Multi-Armed Bandit,” in Proc. of IEEE Global Communications Conference (GLOBECOM), Hawaii, USA, Dec., 2019.
Xiaowei Ye, Liqun Fu, “Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks,” in Proc. of ACM International Conference on Underwater Networks and Systems (WUWNet), Atlanta, GA, USA, Oct. 2019.
Kaiqi Zhong and Liqun Fu, “Optimal Throughput of the ANC based Two-way Relay System with Energy Harvesting,” in Proc. of IEEE Vehicular Technology Conference (VTC) (Fall), Honolulu, Hi, USA, Sept., 2019.
D. Jiao, P. Yang, Liqun Fu, L. Ke, and K. Tang, “Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search,”in Proc. of IEEE International Conference on Communications (ICC), Shanghai, May, 2019.
Haifeng Cao, Liqun Fu, and Hongning Dai, “Throughput Analysis of the Two-way Relay System with Network Coding and Energy Harvesting,” in Proc. of IEEE International Conference on Communications (ICC), Paris, May 2017.
Shijun Lin, Liqun Fu, Kewei Li, and Yong Li, “Sum-rate Optimization for Device-to-Device Communications over Rayleigh Fading Channel,” in Proc. of IEEE Vehicular Technology Conference (VTC) (Spring), Sydney, Jun., 2017.
Shijun Lin and Liqun Fu, “Energy Conservation of Bidirectional Cellular Relay Network over Rayleigh Fading Channel”, in Proc. of GSNC Workshop of the 35th Annual IEEE Conference on Computer Communications (INFOCOM), Toronto, Apr. 2016.
Hongning Dai, Raymond C.W. Wong, Wei Zhang, and Liqun Fu, “ On Percolation Connectivity of Large Scale Wireless Networks with Directional Antennas,” in Proc. of IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Hong Kong, Aug., 2015.
Demia Della Penda, Liqun Fu, and Mikael Johansson, “ Mode Selection for Energy Efficient D2D Communications in Dynamic TDD Systems,” in Proc. of IEEE International Conference on Communications (ICC), London, UK, Jun., 2015.
Liqun Fu, Ying Jun (Angela) Zhang, and Jianwei Huang, “Energy Efficient Transmissions in MIMO Cognitive Radio Networks,” in Proc. of IEEE 46th Annual Conference on Information Sciences and Systems (CISS), Princeton, New Jersey, US, Mar. 2012.
Hongning Dai, Soung Chang Liew, and Liqun Fu, “Link Scheduling in Multi-Transmit-Receive Wireless Networks,” in Proc. of 36th IEEE Conference on Local Computer Networks (LCN), Bonn, Germany, Oct. 2011.
Liqun Fu, Hongseok Kim, Jianwei Huang, Soung Chang Liew, and Mung Chiang, “Energy Conservation and Interference Mitigation: From Decoupling Property to Win-Win Strategy,”(invited paper), in Proc. of 49th IEEE Conference on Decision and Control (CDC), Atlanta, Georgia, US, Dec. 2010.
Liqun Fu, Soung Chang Liew, and Jianwei Huang, “Effective Carrier Sensing in CSMA Networks under Cumulative Interference,” in Proc. of the 29th Annual IEEE Conference on Computer Communications (INFOCOM), San Diego, CA, US, March, 2010. (Acceptance rate: 17.5%)
Liqun Fu, Soung Chang Liew, and Jianwei Huang, “Power Controlled Scheduling with Consecutive Transmission Constraints: Complexity Analysis and Algorithm Design,” in Proc. of the 28th Annual IEEE Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, Apr. 2009. (Acceptance rate: 19.6%)
Jialiang Zhang, Soung Chang Liew, and Liqun Fu, “On Fast Optimal STDMA Scheduling over Fading Wireless Channels,” in Proc. of the 28th Annual IEEE Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, Apr. 2009. (Acceptance rate: 19.6%)
Liqun Fu, Soung Chang Liew, and Jianwei Huang, “Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization,” in Proc. of IEEE International Conference on Communications (ICC), Beijing, China, May 2008
Liqun Fu and Zhigang Cao, “Joint Optimization of Routing and Scheduling for Higher Throughput in IEEE 802.16 Mesh Networks,” in Proc. of IET International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN), 2006.
Liqun Fu, Zhigang Cao, and Pingyi Fan, “Spatial Reuse in IEEE 802.16 Based Wireless Mesh Networks,” in Proc. of IEEE International Symposium on Communications and Information Technologies (ISCIT), 2005.

专利

吕江滨,陈新潼,付立群,岳蕾, 一种实现LoRa网络最优吞吐量公平性的方法 ,国家发明专利，已授权，专利号：ZL 2019105473945
余丹,吕江滨,付立群,岳蕾, 一种实现LoRa网络最优吞吐量公平性的方法 ,国家发明专利，已授权，专利号：ZL 2019105473945
付立群 ,刘圣波,岳蕾,谢伟, 无线网络中基于全双工MAC协议的通信方法, 国家发明专利，已授权，专利号：ZL 2019100305534
付立群 ,刘圣波,岳蕾,谢伟, 无线网络中基于全双工MAC协议的通信方法, 国家发明专利，已授权，专利号：ZL 2019100305483
余丹,吕江滨,付立群,岳蕾, 基于条件概率实现LoRa网关下行特定占空比的方法, 国家发明专利，已授权，专利号：ZL 2019106655955
李徐竹,吕江滨,,付立群,岳蕾, 一种实现LoRa网络吞吐量最大化和公平性的方法, 国家发明专利，申请号：202010871867X
岳蕾,赖舒悦,童景文,付立群, 一种提升水声通信链路平均吞吐量的方法, 国家发明专利，申请号：2020102796073

获奖

2018年获厦门大学南强青年拔尖人才A类荣誉
2018年获福建省百人计划-创新长期荣誉
2016年获福建省闽江学者荣誉
2016年获国家高层次人才-青年人才荣誉
2013年获瑞典皇家理工学院颁发的ACCESS奖学金
2009年获香港中文大学颁发的全球卓越研究奖学金
2008年获香港中文大学颁发的香港中文大学研究生海外学术活动奖学金

学术任职

Vice-chair of the ISC (Information Services Committee) of the Asia-Pacific Region of IEEE ComSoc (Communications Society), 2018-2019.
Vice-chair of the SIG (Special Interest Group) on Green Cognitive Communications and Computing Networks, IEEE ComSoc Technical Committee on Green Communications and Computing, 2012-2014.
IEEE Comsoc TCCN (Technical Committee of Cognitive Networks) representative of the IEEE Comsoc Student Competition Program, 2017-2018.
Editor for Journals, IEEE Communications Letters, Jan. 2022-Now.
Editor for Journals, Journal of Communications and Information Networks (JCIN), Jan. 2019 -Now.
Editor for Journals, IEEE Access, 2018-2021.
Technical Program Committee Co-Chair, IEEE/CIC International Conference on Communications in China (ICCC), Xiamen, China,2021.
Technical Program Committee Co-Chair, INFOCOM Workshop on Green Cognitive Communications and Computing Networks, Toronto, Canada, 2014.

会议主席

Web Chair, IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2018.
Publicity Co-Chair, INFOCOM Workshop on Green and Sustainable Networking and Computing (GSNC), San Francisco, 2016.