David Tsang, Andrew Lundgren, Ruxandra Bondarescu, Simon Fong, and Mihai Bondarescu. Optimizing finite mirrors for advanced gravitational wave detectors. In APS April Meeting Abstracts, 2009
Download Paper
Robert Simon Fong and Peter Tino. Extended stochastic derivative-free optimization on Riemannian manifolds. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO ’19, pages 257–258, New York, NY, USA, 2019. ACM
Download Paper
Robert Simon Fong and Peter Tino. Population-Based Optimization on Riemannian Manifolds, volume 1046 of Studies in Computational Intelligence (SCI). Springer, 2022. ISBN: 978-3-031- 04292-8 (eBook ISBN: 978-3-031-04293-5)
Download Paper
Boyu Li, Robert Simon Fong, and Peter Tino. Simple Cycle Reservoirs are Universal. Journal of Machine Learning Research, 25(158):1–28, 2024
Download Paper
Peter Tino, Robert Simon Fong, and Roberto Fabio Leonarduzzi. Predictive Modeling in the Reservoir Kernel Motif Space. In 2024 International Joint Conference on Neural Networks (IJCNN), pages 1–8, 2024
Download Paper
Robert Simon Fong, Yanming Song, and Alexander Yosifov. Efficient digital quadratic unconstrained binary optimization solvers for sat problems. New Journal of Physics, 27(1):013027, Jan 2025
Download Paper
Robert Simon Fong, Boyu Li, and Peter Tino. Universality of Real Minimal Complexity Reservoir. In Proceedings of the AAAI Conference on Artificial Intelligence, 39(16), 16622-16629,2025
Download Paper
Robert Simon Fong, Boyu Li, and Peter Tino. Linear simple cycle reservoirs at the edge of stability perform fourier decomposition of the input driving signals. Chaos, 35(4):043109
Download Paper
Ziqiang Li, Robert Simon Fong, Kantaro Fujiwara, Kazuyuki Aihara, and Gouhei Tanaka. Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization. In 2025 International Joint Conference on Neural Networks (IJCNN), pages 1–9, 2025
Download Paper