An image representation based convolutional network for DNA classification. - Bojian Yin; Marleen Balvert; Davide Zambrano; Alexander Schönhuth; Sander M. Bohté (ICLR (Poster), 2018)

Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype. - Bojian Yin; Marleen Balvert; Rick A. A. van der Spek; Bas E. Dutilh; Sander M. Bohté; Jan Veldink; Alexander Schönhuth (Bioinform., 2019)

LocalNorm: Robust Image Classification through Dynamically Regularized Normalization. - Bojian Yin; Siebren Schaafsma; Henk Corporaal; H. Steven Scholte; Sander M. Bohté (CoRR, 2019)

Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. - Bojian Yin; Federico Corradi; Sander M. Bohté (ICONS, 2020)

LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization. - Bojian Yin; H. Steven Scholte; Sander M. Bohté (ICANN (4), 2021)

Effective and Efficient Spiking Recurrent Neural Networks. - Bojian Yin; Federico Corradi; Sander M. Bohté (ERCIM News, 2021)

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. - Bojian Yin; Federico Corradi; Sander M. Bohté (Nat. Mach. Intell., 2021)

Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. - Bojian Yin; Qinghai Guo; Federico Corradi; Sander M. Bohté (ICONS, 2022)

Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks. - Anca-Diana Vicol; Bojian Yin; Sander M. Bohté (IJCNN, 2022)

Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. - Tao Sun; Bojian Yin; Sander M. Bohté (ICANN (1), 2023)

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. - Bojian Yin; Federico Corradi; Sander M. Bohté (Nat. Mac. Intell., 2023)

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks. - Bojian Yin; Federico Corradi (NICE, 2025)

Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation. - Bojian Yin; Federico Corradi (CoRR, 2025)