GongJin Lan
Research Associate
Major Work：
Autonomous driving and AI-based robots, Optimization Algorithms and Evolutionary Robotics
Education :
2016-10 ~ 2020-10, VU University Amsterdam, Artificial Intelligence, Ph.D.
Work Experience:
(1) 2020-11 ~ , Southern University of Science and Technology, Department of Computer Science and Engineering, Research Associate
(2) 2013-09 ~ 2016-10, Southern University of Science and Technology, Department of Computer Science and Engineering, Research Assistant
(3) 2011-07 ~ 2013-06, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Institute of Integration Technology, Research Assistant
Publications:
[1] Lan, G., Yu Wu, Fei Hu, Qi Hao, Vision-based Human Pose Estimation via Deep Learning: A Survey. IEEE Transactions on Human-Machine Systems, in press. (SCI-2, IF=4.124)
[2] Lan, G., Gao, Z., Tong, L. and Liu, T., 2022. Class binarization to neuroevolution for multiclass classification. Neural Computing and Applications, pp.1-18. (SCI-2, IF=5.102)
[3] Lan, G., Liu, T., Wang, X., Pan, X. and Huang, Z., 2022. A semantic web technology index. Scientific Reports, 12(1), pp.1-10. (SCI-3, IF=4.996)
[4] Lan, G., Tomczak, J.M., Roijers, D.M. and Eiben, A.E., 2021. Time efficiency in optimization with a bayesian-evolutionary algorithm. Swarm and Evolutionary Computation, p.100970. (SCI-2, IF=10.267)
[5] Lan, G., De Carlo, M., van Diggelen, F., Tomczak, J.M., Roijers, D.M. and Eiben, A.E., 2021. Learning directed locomotion in modular robots with evolvable morphologies. Applied Soft Computing, 111, p.107688. (SCI-2, IF=8.263)
[6] Lan, G., van Hooft, M., De Carlo, M., Tomczak, J.M. and Eiben, A.E., 2021. Learning locomotion skills in evolvable robots. Neurocomputing, 452, pp.294-306. (SCI-2, IF=5.779)
[7] Lan, G., Jelisavcic, M., Roijers, D.M., Haasdijk, E. and Eiben, A.E., 2018. Directed locomotion for modular robots with evolvable morphologies. In International Conference on Parallel Problem Solving from Nature (pp. 476-487). CCF-B