Ling Zhu

According to our database, Ling Zhu authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm.

Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar P. Filev, Xin Yao

IEEE Trans. Cybern., June, 2024

Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems.

Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev

IEEE Trans. Cybern., January, 2024

2023

Experience-Based Evolutionary Algorithms for Expensive Optimization.

Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar P. Filev, Xin Yao

CoRR, 2023

2021

Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem.

Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A multi-objective optimization framework for online ridesharing systems.

Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang

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.

Anuj Pal, Wenpeng Wei, Ling Zhu, Yan Wang, Guoming Zhu

Proceedings of the 2021 American Control Conference, 2021

2020

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

Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang

CoRR, 2020

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

Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev

CoRR, 2020

Occlusion Handling for Industrial Robots.

Ling Zhu, Meghna Menon, Mario A. Santillo, Gregory Linkowski

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration.

Anuj Pal, Ling Zhu, Yan Wang, Guoming G. Zhu

Proceedings of the 2020 American Control Conference, 2020

2019

Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization.

Xunzhao Yu, Xin Yao, Yan Wang, Ling Zhu, Dimitar P. Filev

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization.

Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni

IEEE Trans. Evol. Comput., 2018

Synthesizing customized network protocols using genetic programming.

Mohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

NetSynth: a framework for synthesizing customized network protocols using genetic programming.

Mohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2015

"Slow is Fast" for wireless sensor networks in the presence of message losses.

Reza Hajisheykhi, Ling Zhu, Mahesh Arumugam, Murat Demirbas, Sandeep S. Kulkarni

J. Parallel Distributed Comput., 2015

Refinement of Probabilistic Stabilizing Programs Using Genetic Algorithms.

Ling Zhu, Jingshu Chen, Sandeep S. Kulkarni

Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2015

Using Genetic Programming to Identify Tradeoffs in Self-Stabilizing Programs: A Case Study.

Ling Zhu, Sandeep S. Kulkarni

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.

Ling Zhu, Sandeep S. Kulkarni

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results.

Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem.

Ling Zhu, Kalyanmoy Deb, Sandeep S. Kulkarni

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Synthesizing Round Based Fault-Tolerant Programs Using Genetic Programming.

Ling Zhu, Sandeep S. Kulkarni

Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2013

2008

Mutual authentication protocols for RFID systems.

Ashrar A. Omer, Johnson P. Thomas, Ling Zhu

Int. J. Autom. Comput., 2008