Author

Ling Zhu

Michigan State University, Ford Motor Company, Microsoft - Cited by 220 - Optimization - Robotics - Computational Intelligence - Evolutionary Computation - Distributed System

Biography

Ling Zhu is a professor and scientist  Ling Zhu works aa a professor ,Retinal Therapeutics Research Group, Save Sight Institute, The University of Sydney, Sydney, Australia have area of intrest:-Organic anion transporters; Genetic polymorphism; Single nucleotide polymorphism
Title
Cited by
Year
Handling multiple scenarios in evolutionary multiobjective numerical optimization
K Deb, L Zhu, S KulkarniIEEE Transactions on Evolutionary Computation 22 (6), 920-933, 2017201
30
2017
Multi-scenario optimization using multi-criterion methods: A case study on byzantine agreement problem
L Zhu, K Deb, S Kulkarni14 IEEE Congress on Evolutionary Computation (CEC), 2601-2608, 141
20
2014
Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results
K Deb, L Zhu, S Kulkarni2015 IEEE Congress on Evolutionary Computation (CEC), 77-84, 2015201
18
2015
Constrained surrogate-based engine calibration using lower confidence bound
A Pal, L Zhu, Y Wang, GG ZhuIEEE/ASME Transactions on Mechatronics 26 (6), 3116-3127, 2021202
18
2021
Internal combustion engine calibration using optimization algorithms
X Yu, L Zhu, Y Wang, D Filev, X YaoApplied Energy 305, 117894, 2022202
15
2022
Interpretable-ai policies using evolutionary nonlinear decision trees for discrete action systems
Y Dhebar, K Deb, S Nageshrao, L Zhu, D FilevarXiv preprint arXiv:2009.09521, 2020202
15
2020
Multi-objective stochastic Bayesian optimization for iterative engine calibration
A Pal, L Zhu, Y Wang, GG Zhu2020 American Control Conference (ACC), 4893-4898, 2020202
15
2020
Multi-objective surrogate-assisted stochastic optimization for engine calibration
A Pal, Y Wang, L Zhu, GG ZhuJournal of Dynamic Systems, Measurement, and Control 3 (10), 101004, 2021202
14
2021
Domination-based ordinal regression for expensive multi-objective optimization
X Yu, X Yao, Y Wang, L Zhu, D Filev2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2058-2065, 2019201
12
2019
Mutual authentication protocols for RFID systems
AA Omer, JP Thomas, L ZhuInternational Journal of Automation and Computing 5, 348-365, 2008200
9
2008
Engine calibration using global optimization methods with customization
L Zhu, Y Wang, A Pal, G ZhuSAE Technical Paper, 2020202
8
2020
Engine calibration optimization based on its surrogate models
A Pal, Y Wang, L Zhu, GG ZhuDynamic Systems and Control Conference 59155, V002T12A002, 2019201
8
2019
Dynamic System Identification for a Nonlinear Vehicle Model Using -Markov Cover under Different Operational Conditions
A Pal, W Wei, L Zhu, Y Wang, G Zhu2021 American Control Conference (ACC), 230-235, 2021202
8
2021
Interpretable AI agent through nonlinear decision trees for lane change problem
A Ghosh, Y Dhebar, R Guha, K Deb, S Nageshrao, L Zhu, E Tseng, ...2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021202
5
2021
Synthesizing round based fault-tolerant programs using genetic programming
L Zhu, S KulkarniSymposium on Self-Stabilizing Systems, 370-372, 2013201
4
2013
A multi-objective optimization framework for online ridesharing systems
H Javidi, D Simon, L Zhu, Y Wang2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021202
4
2021
Refinement of probabilistic stabilizing programs using genetic algorithms
L Zhu, J Chen, S KulkarniStabilization, Safety, and Security of Distributed Systems: 17th …, 2015201
3
2015
Synthesizing customized network protocols using genetic programming
M Roohitavaf, L Zhu, S Kulkarni, S BiswasProceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018201
3
2018
Using genetic programming to identify tradeoffs in self-stabilizing programs: A case study
L Zhu, SS Kulkarni015 IEEE 35th International Conference on Distributed Computing Systems …, 01501
2
2015