Qingguo Lü, Ph.D. (Postdoctoral), is an associate researcher at the School of Computer Science, Chongqing University. He received his Ph.D. degree from Southwest University in 2021, supervised by Prof. Xiaofeng Liao (IEEE/AAIA Fellow and Changjiang Scholar Distinguished Professor, China). He was a postdoctoral fellow in the discipline of computer science and technology at Chongqing University, co-supervised by Prof. Shaojiang Deng (Excellent Talent of the New Century, Ministry of Education, China), and a visiting scholar at Texas A&M University at Qatar, co-supervised by Prof. Ting-Wen Huang (Member of the World Academy of Sciences, Member of the European Academy of Sciences, Fellow of IEEE/AAIA/IAPR, and visiting professor of Yangtze River Scholars, China). He is mainly engaged in research related to distributed optimization theory and algorithms in the context of machine learning, smart grid, privacy security and other applications. He has published more than 50 high-quality academic papers (more than 30 papers in IEEE Transactions series of repertoire) in international high-level journals and conferences, such as IEEE TPDS, IEEE TDSC, IEEE TSC, IEEE TCYB, IEEE TSMCS, IEEE TNNLS, IEEE TAC, etc., of which more than 30 papers have been published as the first author, corresponding author, etc.; more than 30 papers have been published as the main author. He has published 4 English monographs and applied for more than 10 national and international patents. He has served as guest editor of international journals, such as Complex Engineering Systems and Mathematics, and as a member of the Young Editorial Board of Chongqing University, and has been a reviewer for IEEE TIFS, IEEE TPDS, IEEE TDSC, IEEE TNNLS, IEEE TCYB, and IEEE TSMCS, among other prestigious journals for a long period of time. He has presided over a number of national and provincial vertical projects, including National Natural Science Foundation of China (NSFC) Youth Fund Project, China Postdoctoral Science Foundation (CPSF) Faceted Project, Chongqing Natural Science Foundation (CQNSF) Faceted Project, Chongqing Postdoctoral Research Project Special Funding (First Class Funding), Central Universities' Fundamental Scientific Research Funding Project, and Provincial and Ministerial Key Laboratories' Open Subject Project. He has participated in the National Key Research and Development Program projects, National Natural Science Foundation of China key projects, and multi-million horizontal projects as a project backbone. He was awarded or honored with the Second Prize of Natural Science of Chongqing Municipality in 2021 (3/4), Outstanding Doctoral Dissertation of ACM China in 2021 (Chongqing Chapter), Outstanding Master's Dissertation of Chongqing Municipality in 2019, Outstanding Graduating Student of General Higher Education of Chongqing Municipality in 2018, and Best Presentation Dissertation of EEI 2024, among other awards or honors.

PEER-REVIEWED PUBLICATIONS

Monographs 

[1] Qingguo Lü, Xiaofeng Liao, Huaqing Li, Shaojiang Deng, Yantao Li and Keke Zhang. Decentralized optimization in networks: Algorithmic efficiency and privacy preservation. Elsevier, ISBN: 9780443333378, 2025. 

[2] Qingguo Lü, Xiaofeng Liao, Huaqing Li, Shaojiang Deng, and Shanfu Gao. Distributed optimization in networked systems: Algorithms and applications. Springer, ISBN: 978-981-19-8558-4, 2023. 

[3] Huaqing Li, Qingguo Lü, Zheng Wang, Xiaofeng Liao and Tingwen Huang. Distributed optimization: Advances in theories, methods, and applications. Springer Singapore, ISBN: 978-981-15-6108-5, 2020. 

[4] Huaqing Li, Dawen Xia, Qingguo Lü, Zheng Wang, Xiangzhao Wu, Huiwei Wang and Lianghao Ji. Second-order consensus of continuous-time multi-agent systems. Elsevier, ISBN: 9780323901314, 2020.

Paper (selected)

[1] Qingguo Lü, Xiaofeng Liao*, Shaojiang Deng*, and Huaqing Li. Asynchronous algorithms for decentralized resource allocation over directed networks, IEEE Transactions on Parallel and Distributed Systems, 2023, 34(1): 16-32, Regular Paper.

[2] Qingguo Lü, Xiaofeng Liao*, Tao Xiang, Huaqing Li, and Tingwen Huang. Privacy masking stochastic subgradient-push algorithm for distributed online optimization. IEEE Transactions on Cybernetics, 2021, 51(6): 3224-3237, Regular Paper.

[3] Qingguo Lü, Xiaofeng Liao*, Huaqing Li, and Tingwen Huang. A nesterov-like gradient tracking algorithm for distributed optimization over directed networks. IEEE Transactions on Systems Man Cybernetics-Systems, 2021, 51(10): 6258-36270, Regular Paper.

[4] Qingguo Lü, Xiaofeng Liao*, Huaqing Li, and Tingwen Huang. Achieving acceleration for distributed economic dispatch in smart grids over directed networks. IEEE Transactions on Network Science and Engineering, 2020, 7(3): 1988-1999, Regular Paper.

[5] Qingguo Lü, Xiaofeng Liao*, Shaojiang Deng*, and Huaqing Li. ET-DASG: An efficient decentralized algorithm for convex optimization over networks. IEEE Transactions on Network Science and Engineering, 2022, 9(3): 1789-1801, Regular Paper.

[6] Qingguo Lü, Xiaofeng Liao*, Huaqing Li, and Tingwen Huang. A computation-efficient decentralized algorithm for composite constrained optimization. IEEE Transactions on Signal and Information Processing over Networks, 2020, 6: 774-789, Regular Paper.

[7] Qingguo Lü, Xiaofeng Liao*, Shaojiang Deng*, and Huaqing Li. A decentralized stochastic algorithm for coupled composite optimization with linear convergence, IEEE Transactions on Signal and Information Processing over Networks, 2022, 8: 627-640, Regular Paper.

[8] Qingguo Lü, Shaojiang Deng*, Huaqing Li, and Tingwen Huang. Privacy protection decentralized economic dispatch over directed networks with accurate convergence. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(6): 1702-1716, Regular Paper.

[9] Qingguo Lü, Xiangguang Dai*, Wei Zhang, and MR Ezilarasan. Distributed stochastic learning for composite sharing optimization in consumer electronics. IEEE Transactions on Consumer Electronics, Regular Paper, doi: 10.1109/TCE.2024.3506915, 2024.

[10] Qingguo Lü, Keke Zhang, Shaojiang Deng*, Yantao Li, Huaqing Li, Shanfu Gao, and Yingjue Chen. Privacy-preserving decentralized dual averaging for online optimization over directed networks. IEEE Transactions on Industrial Cyber-Physical Systems, 2023, 1: 79-91.

[11] Dong Li, Qingguo Lü*, Xiaofeng Liao*, Tao Xiang, Jiahui Wu, and Junqing Le. AVPMIR: Adaptive verifiable privacy-preserving medical image retrieval. IEEE Transactions on Dependable and Secure Computing, 2024, 21(5): 4637-4651, Regular Paper.

[12] Keke Zhang, Qingguo Lü*, Xiaofeng Liao*, and Huaqing Li. Zeroth-order decentralized dual averaging for online optimization with privacy consideration. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(6): 3754-3766, Regular Paper.

[13] Keke Zhang, Qingguo Lü*, Xiaofeng Liao*, Huaqing Li, and Tingwen Huang. Privacy-preserving distributed accelerated resource allocation in general directed networks. IEEE Transactions on Consumer Electronics, Regular Paper, doi: 10.1109/TCE.2025.3535149, 2025.

[14] Keke Zhang, Qingguo Lü*, Qixing Zhou, Huaqing Li*, Dawen Xia, and Tingwen Huang. Momentum-based distributed economic dispatch of smart grids in time-varying directed networks. IEEE Transactions on Network Science and Engineering, Regular Paper, doi: 10.1109/TNSE.2025.3561195, 2025.

[15] Dong Li, Jiahui Wu, Dong Li, Junqing Le, Qingguo Lü*, Xiaofeng Liao*, and Tao Xiang. An efficient privacy-preserving ranked multi-keyword retrieval for multiple data owners in outsourced cloud. IEEE Transactions on Services Computing, 2024, 17(2): 406-419, Regular Paper.

[16] Yantao Li, Chen Chen, Keke Zhang*, Dong Li, Qingguo Lü*, Shaojiang Deng, and Huaqing Li. Q-DADAM: A quantized distributed online optimization algorithm with adaptive momentum. IEEE Transactions on Control of Network Systems, Regular Paper, doi: 10.1109/TCNS.2025.3526555, 2025.

[17] Bingxue Luo, Qingguo Lü*, Huqiang Cheng, Hao Zhou, and Xiaofeng Liao*. A distributed stochastic unified accelerated algorithm for convex optimization over time-varying directed networks. IEEE Transactions on Systems Man Cybernetics-Systems, Major Revision.

[18] Hao Zhou, Min Li, Qun Liu, Keke Zhang, Qingguo Lü*, Huaqing Li*. Ponnuthurai Nagaratnam Suganthan. An optimization framework with imbalance-ratio and position for imbalance learning. IEEE Transactions on Systems Man Cybernetics-Systems, Minor Revision.

[19] Huaqing Li, Qingguo Lü, Guo Chen, Zhaoyang Dong, and Tingwen Huang*. Distributed constrained optimization over unbalanced directed networks using asynchronous broadcast-based algorithm. IEEE Transactions on Automatic Control, 2021, 66(3): 1102-1115,Regular Paper.

[20] Huaqing Li, Qingguo Lü, and Tingwen Huang*. Distributed projection subgradient algorithm over time-varying general unbalanced directed graphs. IEEE Transactions on Automatic Control, 2019, 64(3): 1309-1316, Brief Paper.

[21] Huaqing Li, Qingguo Lü, Xiaofeng Liao, and Tingwen Huang*. Accelerated convergence algorithm for distributed constrained optimization under time-varying general directed graphs. IEEE Transactions on Systems Man Cybernetics-Systems, 2020, 50(7): 2612-2622, Regular Paper.

[22] Huaqing Li, Qingguo Lü, Guo Chen, Tingwen Huang*, and Zhaoyang Dong. Convergence of distributed accelerated algorithm over unbalanced directed network. IEEE Transactions on Systems Man Cybernetics-Systems, 2021, 51(8): 5153-5164, Regular Paper.

[23] Huaqing Li, Qingguo Lü, and Tingwen Huang*. Convergence analysis of a distributed optimization algorithm with a general unbalanced directed communication network. IEEE Transactions on Network Science and Engineering, 2019, 6(3): 237-248, Regular Paper.

PATENTS (selected)

[1] 吕庆国, 陈英珏, 张可可, 李冬, 廖晓峰, 邓绍江, 李华青, 李艳涛. 一种基于事件触发机制的分布式随机梯度优化方法及系统. 国家发明专利, 2023年,中国, CN116702925A.（专利申请号：202310737415.6）

[2] 吕庆国, 张可可, 廖晓峰, 陈英珏, 邓绍江, 李华青, 李艳涛, 李冬. 一种使用零和结构扰动实现隐私保护的分布式对偶平均推送优化方法. 国家发明专利, 2023年,中国, CN116938561A.（专利申请号：202310908201.0）

[3] 吕庆国, 张可可, 廖晓峰, 陈英珏, 邓绍江, 李华青, 李艳涛, 李冬. 一种保护隐私的分布式零阶对偶平均在线优化方法及系统. 国家发明专利, 2023年,中国, CN117118723A.（专利申请号：202311158210.9）

[4] 吕庆国, 张可可, 高山褔, 李冬, 程胡强, 廖晓峰, 邓绍江, 李华青, 李艳涛. 一种有向网络环境下基于双重跟踪的鲁棒去中心化随机算法及系统. 国家发明专利, 2024年,中国, CN117792928A.（专利申请号：202311622195.9）

[5] 吕庆国, 陈宸, 张可可, 廖晓峰, 邓绍江, 李华青, 李艳涛, 李冬. 一种带宽受限场景下的量化分布式自适应在线优化方法及系统. 国家发明专利, 2024年,中国, CN117812616A.（专利申请号：202410024620.2）

[6] 吕庆国, 胡汉卿, 邓绍江, 陈宸, 张可可, 李华青, 李冬, 周豪, 周昱江, 李艳涛, 廖晓峰. 一种隐私保护的分布式加速资源分配方法及系统. 国家发明专利, 2024年,中国, CN119336508A.（专利申请号：202411466578.6）

[7] 吕庆国, 吴朝旭, 韩泽飞, 周炀, 张可可, 李冬, 周豪, 李华青, 廖晓峰, 邓绍江, 李艳涛. 一种基于状态分解技术的差分隐私分布式梯度追踪优化方法及系统. 国家发明专利, 2025年,中国.（专利申请号：202510468595.1，专利权人：重庆大学）

[8] 吕庆国, 贺成龙, 代祥光, 周炀, 韩泽飞, 吴朝旭, 张可可, 管明宇, 冯玉明, 李华青, 廖晓峰. 基于状态分解的隐私保护分布式对偶平均在线优化方法及系统. 国家发明专利, 2025年,中国.（专利申请号：202510468588.1，专利权人：重庆大学）

[9] Qingguo Lü, Keke Zhang, Lifeng Zheng and Yunhang Zhu. An efficient and accelerated distributed algorithm for smart grids. Innovation Patent, Australia, 2020100842, 2020.（专利申请号：2020100842）

[10] Qingguo Lü, Keke Zhang, Zhengran Cao and Yunhang Zhu. A computation-efficient distributed algorithm for convex constrained optimization problem. Innovation Patent, Australia, 2020101237, 2020.（专利申请号：2020101237）

[11] Qingguo Lü, Keke Zhang, Lifeng Zheng and Zhengran Cao. Decentralized optimization algorithm for machine learning tasks in networks: Resource efficient. Innovation Patent, Australia, 2020101959, 2020.（专利申请号：2020101959）

PROJECTS (selected)

[1] Natural Science Foundation of China (国家自然科学基金青年项目), Research on high performance distributed algorithms for composite non-convex optimization problems in machine learning (62302068), 2024.01-2026.12, 300,000 RMB, in progress, Chair.

[2] Basic Research Funds for Central Universities (中央高校基本科研业务费项目), Efficient and secure distributed optimization theory and method for resource constrained networks (2023CDJXY-039), 2023.06-2025.06, 560,000 RMB, in progress, Chair.

[3] Special Funding for Postdoctoral Research Projects in Chongqing (重庆市博士后研究项目特别资助 (一等资助)), Research on distributed energy optimization scheduling and privacy protection of smart grid in complex environments (2021XM1006), 2021.12-2024.07, 200,000 RMB, in progress, Chair.

[4] Postdoctoral Science Foundation of China (中国博士后科学基金面上项目), Research on key technologies of distributed energy optimization and privacy protection for real smart grids (2021M700588), 2021.12-2024.07, 80,000 RMB, in progress, Chair.

[5] Natural Science Foundation of Chongqing (重庆市自然科学基金面上项目), Research on efficient and secure distributed optimization algorithms in complex network environment (CSTB2022NSCQ-MSX1627), 2022.08-2025.07, 50,000 RMB, in progress, Chair.

[6] Open Fund of the Key Laboratory of Industrial Internet of Things and Networked Control of the Ministry of Education (工业物联网与网络化控制教育部重点实验室开放基金), Research on key technologies of distributed optimization and privacy protection of complex networked systems (2021FF09), 2021.12-2024.07, 50,000 RMB, in progress, Chair.

ACTIVE REVIEWERS

IEEE TAC、Automatica、IEEE TCYB、IEEE TNNLS、IEEE TIE、IEEE TSIPN、IEEE TSMCS、IEEE TNSE、IEEE TMC、IEEE TCNS、IEEE TII、IEEE TIFS、IEEE TSC、CNSNS、ND、NN、JFI、NCA、IJSS、IJRNC、Mathematics and Computers in Simulation、IJAIT、ACM、Systems & Control Letter、Peer-to-Peer Networking and Applications、IFAC Journal of Systems and Control、Energy Conversion and Economics、Applied Sciences、IEEE Control Systems Letters、Biomedical Signal Processing and Control、Journal of Computational and Applied Mathematics、IEEE Internet of Things Journal、EURASIP Journal on Advances in Signal Processing、Signal Processing、IEEE SSCI、IEEE ICCSS、IEEE IECON、IEEE ICIST、IEEE ICICIP、CCC、CCDC、IEEE CDC、etc.