Bojian Yin - RankMe

22 papers B 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling. CoRR Bojian Yin, Shurong Wang, Haoyu Tan, Sander M. Bohté, Federico Corradi, Guoqi Li
2026	J	`jnl`	Traces propagation: memory-efficient and scalable forward-only learning in spiking neural networks. Neuromorph. Comput. Eng. Lorenzo Pes, Bojian Yin, Sander Stuijk, Federico Corradi
2025	—	`conf`	Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks. NICE Bojian Yin, Federico Corradi
2025	J	`jnl`	Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation. CoRR Bojian Yin, Federico Corradi
2025	J	`jnl`	Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks. CoRR Lorenzo Pes, Bojian Yin, Sander Stuijk, Federico Corradi
2024	J	`jnl`	Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks. CoRR Bojian Yin, Federico Corradi
2023	J	`jnl`	Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nat. Mac. Intell. Bojian Yin, Federico Corradi, Sander M. Bohté
2023	—	`conf`	Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. ICANN (1) Tao Sun, Bojian Yin, Sander M. Bohté
2023	J	`jnl`	Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. CoRR Tao Sun, Bojian Yin, Sander M. Bohté
2022	—	`conf`	Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté
2022	B	`conf`	Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks. IJCNN Anca-Diana Vicol, Bojian Yin, Sander M. Bohté
2021	J	`jnl`	Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. CoRR Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. Nat. Mach. Intell. Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. CoRR Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Effective and Efficient Spiking Recurrent Neural Networks. ERCIM News Bojian Yin, Federico Corradi, Sander M. Bohté
2021	—	`conf`	LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization. ICANN (4) Bojian Yin, H. Steven Scholte, Sander M. Bohté
2020	—	`conf`	Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. ICONS Bojian Yin, Federico Corradi, Sander M. Bohté
2020	J	`jnl`	Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. CoRR Bojian Yin, Federico Corradi, Sander M. Bohté
2019	J	`jnl`	LocalNorm: Robust Image Classification through Dynamically Regularized Normalization. CoRR Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohté
2019	J	`jnl`	Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype. Bioinform. Bojian Yin, Marleen Balvert, Rick A. A. van der Spek, Bas E. Dutilh, Sander M. Bohté, Jan Veldink, Alexander Schönhuth
2018	—	`conf`	An image representation based convolutional network for DNA classification. ICLR (Poster) Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté
2018	J	`jnl`	An image representation based convolutional network for DNA classification. CoRR Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté