Mutual authentication protocols for RFID systems. - Ashrar A. Omer; Johnson P. Thomas; Ling Zhu 001 (Int. J. Autom. Comput., 2008)

Synthesizing Round Based Fault-Tolerant Programs Using Genetic Programming. - Ling Zhu 001; Sandeep S. Kulkarni (SSS, 2013)

Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem. - Ling Zhu 001; Kalyanmoy Deb; Sandeep S. Kulkarni (IEEE Congress on Evolutionary Computation, 2014)

Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results. - Kalyanmoy Deb; Ling Zhu 001; Sandeep S. Kulkarni (CEC, 2015)

Using Model Checking Techniques For Evaluating the Effectiveness of Evolutionary Computing in Synthesis of Distributed Fault-Tolerant Programs. - Ling Zhu 001; Sandeep S. Kulkarni (GECCO, 2015)

Using Genetic Programming to Identify Tradeoffs in Self-Stabilizing Programs: A Case Study. - Ling Zhu 001; Sandeep S. Kulkarni (ICDCS Workshops, 2015)

Refinement of Probabilistic Stabilizing Programs Using Genetic Algorithms. - Ling Zhu 001; Jingshu Chen; Sandeep S. Kulkarni (SSS, 2015)

"Slow is Fast" for wireless sensor networks in the presence of message losses. - Reza Hajisheykhi; Ling Zhu 001; Mahesh Arumugam; Murat Demirbas; Sandeep S. Kulkarni (J. Parallel Distributed Comput., 2015)

NetSynth: a framework for synthesizing customized network protocols using genetic programming. - Mohammad Roohitavaf; Ling Zhu 001; Sandeep S. Kulkarni; Subir Biswas (GECCO (Companion), 2018)

Synthesizing customized network protocols using genetic programming. - Mohammad Roohitavaf; Ling Zhu 001; Sandeep S. Kulkarni; Subir Biswas (GECCO (Companion), 2018)

Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization. - Kalyanmoy Deb; Ling Zhu 001; Sandeep S. Kulkarni (IEEE Trans. Evol. Comput., 2018)

Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization. - Xunzhao Yu; Xin Yao 001; Yan Wang 075; Ling Zhu 001; Dimitar P. Filev (SSCI, 2019)

Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration. - Anuj Pal; Ling Zhu 001; Yan Wang 075; Guoming G. Zhu (ACC, 2020)

Occlusion Handling for Industrial Robots. - Ling Zhu 001; Meghna Menon; Mario A. Santillo; Gregory Linkowski (IROS, 2020)

Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. - Yashesh D. Dhebar; Kalyanmoy Deb; Subramanya Nageshrao; Ling Zhu 001; Dimitar P. Filev (CoRR, 2020)

A multi-objective optimization framework for on-line ridesharing systems. - Hamed Javidi; Dan Simon; Ling Zhu 001; Yan Wang 075 (CoRR, 2020)

Dynamic System Identification for a Nonlinear Vehicle Model Using $q$-Markov Cover under Different Operational Conditions. - Anuj Pal; Wenpeng Wei; Ling Zhu 001; Yan Wang 075; Guoming Zhu 001 (ACC, 2021)

A multi-objective optimization framework for online ridesharing systems. - Hamed Javidi; Dan Simon; Ling Zhu 001; Yan Wang 075 (BigComp, 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 001; H. Eric Tseng; Dimitar P. Filev (SSCI, 2021)

Experience-Based Evolutionary Algorithms for Expensive Optimization. - Xunzhao Yu; Yan Wang 075; Ling Zhu 001; Dimitar P. Filev; Xin Yao 001 (CoRR, 2023)

Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems. - Yashesh D. Dhebar; Kalyanmoy Deb; Subramanya Nageshrao; Ling Zhu 001; Dimitar P. Filev (IEEE Trans. Cybern., 2024)

Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm. - Xunzhao Yu; Yan Wang 075; Ling Zhu 001; Dimitar P. Filev; Xin Yao 001 (IEEE Trans. Cybern., 2024)