Dr Bo Yuan
Honorary Associate Professor
School of Electrical Engineering & Computer Science
Book Chapter
Yuan, B. and Gallagher, M. (2007). Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks. Parameter Setting in Evolutionary Algorithms. (pp. 121-142) edited by Lobo, F. G., Lima, C. F. and Michalewicz, Z.. Berlin, Heidelberg, Germany: Springer-Verlag. doi: 10.1007/978-3-540-69432-8_6
Journal Articles
Zhao, Haimei, Zhang, Jing, Chen, Zhuo, Yuan, Bo and Tao, Dacheng (2024). On robust cross-view consistency in self-supervised monocular depth estimation. Machine Intelligence Research, 21 (3), 495-513. doi: 10.1007/s11633-023-1474-0
Yuan, Bo and Gallagher, Marcus (2007). Combining meta-EAs and racing for difficult EA parameter tuning tasks. Studies in Computational Intelligence, 54, 121-142. doi: 10.1007/978-3-540-69432-8_6
Yuan, B., Orlowska, M. and Sadiq, S. (2007). On the optimal robot routing problem in wireless sensor networks. IEEE Transactions On Knowledge And Data Engineering, 19 (9), 1252-1261. doi: 10.1109/TKDE.2007.1062
Yuan, Bo and Gallagher, Marcus (2004). Statistical racing techniques for improved empirical evaluation of evolutionary algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3242, 172-181.
Conference Papers
Chen, Zhuo, Zhao, Haimei, Yuan, Bo and Li, Xiu (2024). STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract). 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i21.30429
Chen, Zhuo, Zhao, Haimei, Wang, Chaoyue, Yuan, Bo and Li, Xiu (2024). Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract). 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i21.30428
Yuan, Bo and Gallagher, Marcus (2009). Convergence analysis of UMDAc with finite populations: A case study on flat landscapes. 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009, Montréal, QC, Canada, 8-12 July 2009. New York, NY, U.S.A.: ACM (Association for Computing Machinery) Press. doi: 10.1145/1569901.1569967
Yuan B., Orlowska M. and Sadiq S. (2007). Finding the optimal path in 3D spaces using EDAs -The wireless sensor networks scenario. 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, Warsaw, April 11, 2007-April 14, 2007. Springer Verlag. doi: 10.1007/978-3-540-71618-1_59
Yuan, B., Orlowska, M. and Sadiq, S. (2007). Real-time acquisition of buyer behaviour data - The smart shop floor scenario. 1st International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE 2006), Seoul, Korea, 11 September, 2007. New York: Springer-Verlag.
Yuan, Bo and Gallagher, Marcus (2007). Combining Meta-EAs and racing for difficult EA parameter tuning tasks. Workshop on Parameter Setting in Genetic and Evolutionary Algorithms, Washington Dc, 2005. BERLIN: SPRINGER-VERLAG BERLIN.
Yuan, Bo and Gallagher, Marcus (2005). A hybrid approach to parameter tuning in genetic algorithms. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005, , , September 2, 2005-September 5, 2005.
Yuan, Bo and Gallagher, Marcus (2005). Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005, , , September 2, 2005-September 5, 2005.