Ø Jianping Luo, Liang Chen, Xia Li, Qingfu Zhang,Novel Multitask Conditional Neural Network Surrogate Models, IEEE Transactions on Cybernetics, 2022, 52(5):3984-3997.
Ø Jianping Luo, Shaofei Huang, Yuan Yuan,Video Super-Resolution using Multiscale Pyramid 3D Convolutional Networks, 2020 ACM Multimedia(ACM MM), 1882-1890. (CCF-A)
Ø Ning Xie, Jianping Luo*. Resources Allocation at the Physical Layer for Network Function Virtualization Deployment. IEEE Transactions on Vehicular Technology. 10.1109/TVT.2020.2964703.
Ø Jianping Luo, YongFei Dong, Zexuan Zhu, Wenming Cao, and Xia Li, Expensive Multiobjective Optimization Based on Information Transfer Surrogate, IEEE Transactions on Systems, Man, and Cybernetics: Systems，2023, 53(3):1684-1696.
Ø Jianping Luo, Abhishek Gupta,Yew-Soon Ong, Zhenkun Wang. Evolutionary Optimization of Expensive Multi-objective Problems with Co-sub-Pareto Front Gaussian Process Surrogates. IEEE Transactions on Cybernetics, 2019, 49(5):1708-1721.
Ø Jianping Luo*, Yongfei Dong, etc. A New Multitask Joint Learning Framework for Expensive Multi-objective Optimization Problems, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 (To appear).
Ø Jianping Luo, Xiongwen Huang, Yun Yang, Xia Li , Zhenkun Wang, Jiqiang Feng. A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization. Information Sciences, 2020, 514C: 166-202.
Ø Ruiqi Tan, Yuan Yuan, Jianping Luo*. "Video Super-Resolution with Spatial-Temporal Transformer Encoder." 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022. (CCF-B)
Ø Jingming Chen, Yuan Yuan, Jianping Luo*. "Self-Guided Video Super-resolution based on a Fast Deformable ConvGRU Model" 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022. (CCF-B)
Ø Z Wang, Q Zhang, YS Ong, S Yao, H Liu, Jianping Luo. Choose appropriate subproblems for collaborative modeling in expensive multiobjective optimization, IEEE Transactions on Cybernetics. 2021.
Ø Jianping Luo, Yun Yang, Qiqi Liu, Xia Li, Minrong Chen and Kaizhou Gao. A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization, Information Sciences，2018, 449C: 164-186.
Ø Jianping Luo, Yun Yang, Qiqi Liu,Xia Li, Min-rong Chen. A decomposition-based multi-objective evolutionary algorithm with quality indicator. Swarm and Evolutionary Computation，2018, 39 (C): 339-355.
Ø Yun Yang, Jianping Luo*, L. Huang, and Q. Liu. A Many-Objective Evolutionary Algorithm with Epsilon-Indicator Direction Vector. Applied Soft Computing, 2019, 76C: 326-355.
Ø Kaizhou Gao, Ling Wang, Jianping Luo, Hua Jiang, Ali Sadolla，Quanke Pan. Discrete harmony search algorithm for scheduling and rescheduling the reprocessing problems in remanufacturing: a case study. Engineering Optimization, 2017:1-17.
Ø Jianping Luo, Qiqi Liu, Yun Yang, Xia Li, Min-rong Chen, Wenming Cao. An artificial bee colony algorithm for multi-objective optimization. Applied Soft Computing, 2016 (50): 235–251.
Ø Jianping Luo, Xia Li, Min-Rong Chen. A novel hybrid shuffled frog-leaping algorithm for vehicle routing problem with time windows, Information Sciences, 2015-4, 316: 266-292.
Ø Jian-ping Luo, Xia Li, Min-Rong Chen. Hybrid Shuffled Frog Leaping Algorithm for Energy-Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers. Expert Systems With Applications, 2014-10, 41(10):5804-5816.
Ø Jianping Luo, Min-Rong Chen. Multi-phase Modified Shuffled Frog Leaping Algorithm with Extremal Optimization for the MDVRP and the MDVRPTW, Computers & Industrial Engineering, 2014-6, 72:84-97.
Ø Jianping Luo, Min-Rong Chen. Improved Shuffled Frog Leaping Algorithm and its Multi-Phase Model for Multi-Depot Vehicle Routing Problem, Expert Systems With Applications, 2014-4, 41(5): 2535–2545.
Ø Jianping Luo, Xiongwen Huang, Xia Li and Kaizhou Gao. A novel particle swarm optimizer for many-objective optimization, 2019 IEEE Congress on Evolutionary Computation (CEC), 2019.
Ø Jianping Luo, Wei Xu, Jiao Chen,A Novel Radial Basis Function (RBF) Network for Bayesian Optimization, 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021(CCIS 2021) , 250-254, 2021.11
Ø Jianping Luo，Jiqiang Feng, Ruofan Jin. A New Approach to Building the Gaussian Process Model for Expensive Multi-objective Optimization, ICIST19. 2019.
Ø Ronghong Cai and Jianping Luo*, Multi-Task Learning for Multi-Objective Evolutionary Neural Architecture Search, 2021 IEEE Congress on Evolutionary Computation (CEC) ,1680-1687, 2021.05
Ø Rui Shi, Jianping Luo*, and Liu Qiqi, Fast Evolutionary Neural Architecture Search Based on Bayesian Surrogate Model, 2021 IEEE Congress on Evolutionary Computation (CEC2021),1217-1224,2021.05
Ø Yusu Chen, Rui Shi, Jianping Luo*, ME-DARTS: Introduce Multi-stage Evolution to Improve Differentiable Architecture Search, 2021 6th International Conference on Computational Intelligence and Applications (ICCIA 2021), 278-285, 2021.02
Ø Minyan Zheng, Jianping Luo*. Space-Time Video Super-Resolution 3D Transformer, MultiMedia Modeling - 29th International Conference, MMM 2023, 374-385, 2022. (CCF推荐会议)
Ø Kaishan Lin, Jianping Luo*. LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules, the 32nd International Conference on Artificial Neural Networks (ICANN23), Greece, 2023. (CCF推荐会议)
Ø Xueliang Zhong, Jianping Luo*. Classification-based and Lightweight Networks For Fast Image Super Resolution, the 32nd International Conference on Artificial Neural Networks (ICANN23), Greece, 2023. (CCF推荐会议)
Ø Zhichen Liu, Jianping Luo*. Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module, the 32nd International Conference on Artificial Neural Networks (ICANN23), Greece, 2023. (CCF推荐会议)
Ø Kaixuan Hou, Jianping Luo. A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework, the 2023 International Conference on Neural Information Processing (ICONIP2023), Changsha, China, 2023. (CCF推荐会议)
Ø Jiaqi Wang, Jianping Luo*. A Novel Iterative Fusion Multi-Task Learning Framework for Solving Dense Prediction, the 2023 International Conference on Neural Information Processing (ICONIP2023), Changsha, China, 2023. (CCF推荐会议)
Ø Guang Luo, Jianping Luo*. Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem with Reinforcement Learning, The 15th Asian Conference on Machine Learning (ACML 2023), İstanbul, Turkey, 2023. (CCF推荐会议)
Ø Minyan Zheng, Jianping Luo*, Wenming Cao,Video Super-Resolution based on Spatial-Temporal Transformer,7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021(CCIS 2021) ,403-407, 2021.11.
Ø Zhichen Liu，Jianping Luo*. 3D Convolution-Based Video Compression Model Without Motion Estimation，2023 3rd International Conference on Advanced Algorithms and Neural Networks (AANN 2023), Qingdao, China, 2023.
Ø Zijian Lin, Jianping Luo*; Hierarchical Bi-Directional Temporal Context Mining for Improved Image Compression, MMM 2024 (Accepted) (CCF推荐会议)
Ø Zebin Li, Jianping Luo*; Dive into Coarse-to-Fine Strategy in Single Image Deblurring, MMM 2024 (Accepted) (CCF推荐会议)
Ø Yuqi Yang, Jianping Luo*. Behavior Recognition Algorithm Based on Motion Capture and Enhancement, 2023 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023). (Accepted)
Ø Jianlin Chen; Jianping Luo*; Enhancing Vehicle Routing Solutions through Attention-Based Deep Reinforcement Learning, 5th International Conference on Data-driven Optimization of Complex Systems (DOCS’2023), Tianjing, China
Ø K Gao, F Yang, J Li, H Sang, Jianping Luo. Improved jaya algorithm for flexible job shop rescheduling problem, IEEE Access 8, 2020, 86915-86922
Ø Q Yang, Z Wang, Jianping Luo, Q He, Balancing performance between the decision space and the objective space in multimodal multiobjective optimization, Memetic Computing, 2021, 13 (1), 31-47
Ø Jianping Luo, Xia Li, Min-rong Chen. Multi-PhaseHeuristic for Multi-Depots Vehicle Routing Problem，Journal of Software Engineering and Applications, 2013, 6（3）: 82-86.
Ø Xia Li, Jianping Luo, Min-Rong Chen, Na Wang. An improved shuffled frog-leaping algorithm with extremal optimisation for continuous optimization, Information Sciences, 2012, 192(5): 143-151.
Ø Hu Xue, Jianping Luo*, Xiongwen Huang and Yun Yang. Effective resource management of cloud data center, 2018 International Conference on Communication, Network and Artificial Intelligence (CNAI2018), Beijing, 2018.4.23-2018.4.25.
Ø Jianping Luo, Xia Li, Min-Rong Chen, Hongwei Liu. An improved multi-objective evolution algorithm based on shuffled frog leaping, Management, Knowledge and learning international conference, Portoro, 2014.6.25-2014.6.27.
Ø Min-rong Chen, Wei Zen, Guo-qiang Zeng, Xia Li, Jian-Ping Luo. A Novel Artificial BeeColony Algorithm with Integration of Extremal Optimization for NumericalOptimization Problems，Evolutionary Computation (CEC), 2014 IEEE Congress on, 242-249, 2014.
Ø Jianping Luo, Xia Li, Min-rong Chen. A Novel Meta-heuristic for the Multi-depot Vehicle Routing Problem, Communications in Computer and Information Science (ICICA2012), 216-224, Chengde, 2012.9.14-2012.9.17.
Ø Luo Jianping, Chen Min-Rong, Li Xia. A Novel Hybrid Algorithm for Global Optimization Based on EO and SFLA，4th IEEE Conference on Industrial Electronics and Applications，1926-1930，Xian, CHINA，2009.5.25-2009.5.27.
Ø 徐薇，骆剑平*，李霞，曹文明. 基于相关性学习层的多任务模型及其在贝叶斯优化中的应用, 深圳大学学报自然科学版，40(4): 494-503, 2023.
Ø 骆剑平; 李霞; 陈泯融. 云计算环境中基于混合蛙跳算法的资源调度.计算机工程与应用, 2012, (29): 67~72 .
Ø 骆剑平; 李霞; 陈泯融. 基于改进混合蛙跳算法的CVRP求解. 电子与信息学报, 2011.2.15, (02): 429~434.
Ø 骆剑平; 李霞; 陈泯融.混合蛙跳算法的Markov模型及其收敛性分析.电子学报, 2010.12.15, (12): 2875~2880. （入选精品期刊顶尖论文平台——领跑者5000）
Ø 骆剑平; 陈泯融.混合蛙跳算法及其改进算法的运动轨迹及收敛性分析.信号处理, 2010.9.25, (09): 1428~1433.
