Bojian Yin

According to our database, Bojian Yin authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling.

Bojian Yin, Shurong Wang, Haoyu Tan, Sander M. Bohté, Federico Corradi, Guoqi Li

CoRR, March, 2026

Traces propagation: memory-efficient and scalable forward-only learning in spiking neural networks.

Lorenzo Pes, Bojian Yin, Sander Stuijk, Federico Corradi

Neuromorph. Comput. Eng., 2026

2025

Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation.

Bojian Yin, Federico Corradi

CoRR, May, 2025

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks.

Bojian Yin, Federico Corradi

Proceedings of the Neuro Inspired Computational Elements, 2025

2023

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time.

Bojian Yin, Federico Corradi, Sander M. Bohté

Nat. Mac. Intell., May, 2023

Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout.

Tao Sun, Bojian Yin, Sander M. Bohté

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks.

Anca-Diana Vicol, Bojian Yin, Sander M. Bohté

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks.

Bojian Yin, Federico Corradi, Sander M. Bohté

Nat. Mach. Intell., 2021

Effective and Efficient Spiking Recurrent Neural Networks.

Bojian Yin, Federico Corradi, Sander M. Bohté

ERCIM News, 2021

LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization.

Bojian Yin, H. Steven Scholte, Sander M. Bohté

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks.

Bojian Yin, Federico Corradi, Sander M. Bohté

Proceedings of the International Conference on Neuromorphic Systems, 2020

2019

LocalNorm: Robust Image Classification through Dynamically Regularized Normalization.

Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohté

CoRR, 2019

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

2018

An image representation based convolutional network for DNA classification.

Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté

Proceedings of the 6th International Conference on Learning Representations, 2018