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Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 67-I (9): 3163-3174 (2020)Knowledge-Based Prediction of Network Controllability Robustness., , , , and . CoRR, (2020)Searching Better Rewiring Strategies and Objective Functions for Stronger Controllability Robustness., , and . IEEE Trans. Circuits Syst. II Express Briefs, 68 (6): 2112-2116 (2021)Raycast Calibration for Augmented Reality HMDs with Off-Axis Reflective Combiners., , , , , , , and . ICCP, page 1-12. IEEE, (2020)Exploring Graph Representations in Machine Learning for Network Robustness Evaluation., , and . IJCNN, page 1-8. IEEE, (2024)Energy Optimization of Distributed Video Processing System in Dynamic Environment., , , and . CCNC, page 602-603. IEEE, (2024)An Optimization Algorithm Based on Binary Difference and Gravitational Evolution., , and . Int. J. Comput. Intell. Syst., 5 (3): 483-493 (2012)Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving., , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1593-1600. IOS Press, (2023)Selecting evolutionary algorithms for black box design optimization problems., , and . Soft Comput., 23 (15): 6511-6531 (2019)A sequential algorithm portfolio approach for black box optimization., , , and . Swarm Evol. Comput., (2019)