科研论文
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XY. Wang, D. Wu, XW. Wang, R. Zeng, Lianbo Ma, Ruiyun Yu. Truthful Auction-based Resource Allocation Mechanisms with Flexible Task Offloading in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2023 (CCF A类，计算机网络顶刊).
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He, Qiang; Wang, Yu; Wang, Xingwei; Xu, Weiqiang; Li, Fuliang; Yang, Kaiqi; Ma, Lianbo, Routing Optimization with Deep Reinforcement Learning in Knowledge Defined Networking, IEEE Transactions on Mobile Computing, 10.1109/TMC.2023.3235446, 2023 (CCF A类，计算机网络顶刊).
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Nan Li, Lianbo Ma*, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin,Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues，ACM Computing Surveys，2023 （中科院1区， 计算机类综述顶刊，IF:14.32）.
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Jian Cheng, Kaifang Long, Shuang Zhang, Tian Zhang, Lianbo Ma*, Shi Cheng, Yinan Guo，TISGF: Text-Image Scene Graph Fusion for Multi-Modal Named Entity Recognition, IEEE Transactions on Artificial Intelligence, 2023, doi.10.1109/TAI.2023.3326416..
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2022年：
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L. Ma, X.Y. Wang, X. Wang, Liang Wang, Y. Shi, M. Huang, TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Things, IEEE Transactions on Mobile Computing, vol. 21, no. 11, pp. 4125 - 4138, 2022. (CCF A, 移动计算顶刊, ESI高被引论文，ESI热点论文, Best Paper Award Running-up).
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L. Ma, M.Huang, S. Yang, et al. An Adaptive Localized Decision Variable Analysis Approach to Large Scale Multi-objective and Many-objective Optimization, IEEE Transactions on Cybernetics, 2022, doi.10.1109/TCYB.2020.3041212. (中科院1区, 进化计算顶刊, IF:11.0，ESI高被引论文).
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L. Ma, Y.Guo, et al. Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-objective Optimization of Industrial Copper Burdening System, IEEE Transactions on Cybernetics, 2022, 10.1109/TCYB.2021.3086501.(中科院1区, 进化计算顶刊, IF:11.0，ESI高被引论文).
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Xueyi Wang, Lianbo Ma*, Xingwei Wang*, Ying Shi, Bo Yi, Min Huang, Truthful VNFI Procurement Mechanisms with Flexible Resource Provisioning in NFV Markets, IEEE Transactions on Cloud Computing, 2022,10.1109/TCC.2022.3157732 (中科院1区).
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Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang, A Survey on Knee-oriented Multi-objective Evolutionary Optimization, IEEE Transactions on Evolutionary Computation, 2022,10.1109/TEVC.2022.3144880. (中科院1区， 进化计算顶刊).
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2021年：
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L. Ma, S. Cheng, et al. Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021,10.1109/TSMC.2020.2963943. (中科院1区, 国际控制论顶刊, ESI高被引论文，热点论文).
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H. Zhang, L. Ma*, et al., Furnace-grouping problem modeling and multi-objective optimization for special aluminum, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, doi.10.1109/TETCI.2021.3051973. (进化计算权威期刊).
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Q. He, X. Wang, Z. Lei, M. Huang, Y. Cai, L. Ma, TIFIM: A Two-stage Iterative Framework for Influence Maximization in Social Networks, Applied Mathematics and Computation,vol.354, pp.338-352,2019 (JCR1, ESI高被引论文，ESI热点论文).
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Lianbo Ma, Jingwei Wang, Jian Cheng, Xingwei Wang, and Wancheng Zhu, MLRP-KG: Mine Landslide Risk Prediction Based on Knowledge Graph, IEEE Transactions on Artificial Intelligence, 3(1):78-87, 2022, 10.1109/TAI.2021.3114652..
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L. Ma, S.Cheng, et al.An Angle-based Multi-objective Evolutionary Algorithm Based on Pruning-Power Indicator for Game Map Generation, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 10.1109/TETCI.2021.3067104.(进化计算权威期刊).