Ling Zhu

Orcid: 0000-0003-3887-7863

Affiliations:
  • Ford Motor Company, Dearborn, MI, USA
  • Michigan State University, East Lansing, MI, USA (former)


According to our database1, Ling Zhu authored at least 21 papers between 2008 and 2024.

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Bibliography

2024
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems.
IEEE Trans. Cybern., January, 2024

2023
Experience-Based Evolutionary Algorithms for Expensive Optimization.
CoRR, 2023

2021
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A multi-objective optimization framework for online ridesharing systems.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Dynamic System Identification for a Nonlinear Vehicle Model Using $q$-Markov Cover under Different Operational Conditions.
Proceedings of the 2021 American Control Conference, 2021

2020
A multi-objective optimization framework for on-line ridesharing systems.
CoRR, 2020

Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems.
CoRR, 2020

Occlusion Handling for Industrial Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration.
Proceedings of the 2020 American Control Conference, 2020

2019
Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization.
IEEE Trans. Evol. Comput., 2018

Synthesizing customized network protocols using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

NetSynth: a framework for synthesizing customized network protocols using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2015
"Slow is Fast" for wireless sensor networks in the presence of message losses.
J. Parallel Distributed Comput., 2015

Refinement of Probabilistic Stabilizing Programs Using Genetic Algorithms.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2015

Using Genetic Programming to Identify Tradeoffs in Self-Stabilizing Programs: A Case Study.
Proceedings of the IEEE 35th International Conference on Distributed Computing Systems Workshops, 2015

Using Model Checking Techniques For Evaluating the Effectiveness of Evolutionary Computing in Synthesis of Distributed Fault-Tolerant Programs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Synthesizing Round Based Fault-Tolerant Programs Using Genetic Programming.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2013

2008
Mutual authentication protocols for RFID systems.
Int. J. Autom. Comput., 2008


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