Jianping Luo, Ph.D., professor, doctoral supervisor, deputy director of the Department of Electronic Engineering. Project evaluation experts of National Natural Science Foundation of China, Guangdong Science and Technology Department and Shenzhen Science and Technology Commission, as special reviewers of several international magazines, and visiting scholar of Nanyang Technological University in Singapore. The main research fields are intelligent computing, machine learning (deep learning), video processing and other research directions. Shenzhen overseas high-level talents, Shenzhen Nanshan District pilot talents, Shenzhen first computer science and technology contribution award winner.

Artificial intelligence, intelligent computing, machine learning, video signal processing.

Academic doctor: information and communication engineering

Professional doctor: electronic information

Doctor studying abroad: information and communication engineering

Academic Master: Information and Communication Engineering

Professional Master: A New Generation of Electronic Information Technology

1. Recruitment research direction (including but not limited to): machine learning (including deep learning), image/audio/video processing and analysis, computer vision, intelligent optimization and scheduling.

2. Job responsibilities:

1) Undertaking important scientific research projects together with the co-tutors, and completing the scientific research tasks during the postdoctoral enrollment as planned;

2) Assist in team and laboratory construction, and write and publish academic papers of IEEE Trans/CCF A class.

3. Application conditions:

1) Have good academic ethics, rigorous scientific attitude, good health and be competent for the job requirements;

2) Have good basic knowledge of artificial intelligence theory, programming, English reading and writing skills.

4. Application process:

1) Send your resume to ljp@szu.edu.cn;

2) Conduct an interview after preliminary screening;

3) After the interview, we will inform you whether to agree to the employment after the school has approved it.

The employer will keep the application materials submitted by the applicant confidential.

ØJianping Luo, Liang Chen, Xia Li, Qingfu Zhang,Novel Multitask Conditional Neural Network Surrogate Models, IEEE Transactions on Cybernetics, 2022, 52(5):3984-3997.

ØJianping Luo, Shaofei Huang, Yuan Yuan,Video Super-Resolution using Multiscale Pyramid 3D Convolutional Networks, 2020 ACM Multimedia(ACM MM), 1882-1890. (CCF-A)

ØNing Xie, Jianping Luo*. Resources Allocation at the Physical Layer for Network Function Virtualization Deployment. IEEE Transactions on Vehicular Technology. 10.1109/TVT.2020.2964703.

ØJianping 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.

ØJianping 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.

ØJianping 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).

ØJianping 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.

ØRuiqi 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)

ØJingming 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)

ØZ 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.

ØJianping 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.

ØJianping 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.  

ØYun 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.

ØKaizhou 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.

ØJianping 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.

ØJian-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.

ØJianping 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.

ØJianping 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.

ØJianping 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.

ØJianping 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

ØJianping Luo，Jiqiang Feng, Ruofan Jin. A New Approach to Building the Gaussian Process Model for Expensive Multi-objective Optimization, ICIST19. 2019.

ØRonghong 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

ØRui 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

ØYusu 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

ØMinyan 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)

ØKaishan 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)

ØXueliang 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)

ØZhichen 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)

ØKaixuan 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)

ØJiaqi 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)

ØGuang 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)

ØMinyan 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.

ØZhichen 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.

ØZijian Lin, Jianping Luo*; Hierarchical Bi-Directional Temporal Context Mining for Improved Image Compression, MMM 2024 (Accepted) (CCF推荐会议)

ØZebin Li, Jianping Luo*; Dive into Coarse-to-Fine Strategy in Single Image Deblurring, MMM 2024 (Accepted) (CCF推荐会议)

ØYuqi 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)

ØJianlin 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

ØK Gao, F Yang, J Li, H Sang, Jianping Luo. Improved jaya algorithm for flexible job shop rescheduling problem, IEEE Access 8, 2020, 86915-86922

ØQ 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

ØJianping 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.

ØXia 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.

ØHu 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.

ØJianping 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.

ØMin-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.

ØJianping 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.

ØLuo 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.