Ling Zhu

22 papers A 2B 2C 4Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm.
IEEE Trans. Cybern.
Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar P. Filev, Xin Yao
2024 J jnl
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems.
IEEE Trans. Cybern.
Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev
2023 J jnl
Experience-Based Evolutionary Algorithms for Expensive Optimization.
CoRR
Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar P. Filev, Xin Yao
2021 — conf
A multi-objective optimization framework for online ridesharing systems.
BigComp
Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang
2021 C conf
Dynamic System Identification for a Nonlinear Vehicle Model Using $q$-Markov Cover under Different Operational Conditions.
ACC
Anuj Pal, Wenpeng Wei, Ling Zhu, Yan Wang, Guoming Zhu
2021 — conf
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem.
SSCI
Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev
2020 J jnl
A multi-objective optimization framework for on-line ridesharing systems.
CoRR
Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang
2020 J jnl
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems.
CoRR
Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev
2020 C conf
Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration.
ACC
Anuj Pal, Ling Zhu, Yan Wang, Guoming G. Zhu
2020 A conf
Occlusion Handling for Industrial Robots.
IROS
Ling Zhu, Meghna Menon, Mario A. Santillo, Gregory Linkowski
2019 — conf
Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization.
SSCI
Xunzhao Yu, Xin Yao, Yan Wang, Ling Zhu, Dimitar P. Filev
2018 J jnl
Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization.
IEEE Trans. Evol. Comput.
Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni
2018 — conf
NetSynth: a framework for synthesizing customized network protocols using genetic programming.
GECCO (Companion)
Mohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas
2018 — conf
Synthesizing customized network protocols using genetic programming.
GECCO (Companion)
Mohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas
2015 J jnl
"Slow is Fast" for wireless sensor networks in the presence of message losses.
J. Parallel Distributed Comput.
Reza Hajisheykhi, Ling Zhu, Mahesh Arumugam, Murat Demirbas, Sandeep S. Kulkarni
2015 B conf
Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results.
CEC
Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni
2015 C conf
Refinement of Probabilistic Stabilizing Programs Using Genetic Algorithms.
SSS
Ling Zhu, Jingshu Chen, Sandeep S. Kulkarni
2015 — conf
Using Genetic Programming to Identify Tradeoffs in Self-Stabilizing Programs: A Case Study.
ICDCS Workshops
Ling Zhu, Sandeep S. Kulkarni
2015 A conf
Using Model Checking Techniques For Evaluating the Effectiveness of Evolutionary Computing in Synthesis of Distributed Fault-Tolerant Programs.
GECCO
Ling Zhu, Sandeep S. Kulkarni
2014 B conf
Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem.
IEEE Congress on Evolutionary Computation
Ling Zhu, Kalyanmoy Deb, Sandeep S. Kulkarni
2013 C conf
Synthesizing Round Based Fault-Tolerant Programs Using Genetic Programming.
SSS
Ling Zhu, Sandeep S. Kulkarni
2008 J jnl
Mutual authentication protocols for RFID systems.
Int. J. Autom. Comput.
Ashrar A. Omer, Johnson P. Thomas, Ling Zhu