458 citations · 922 across the 17 of their papers we have counts for
5 papers · 1 filter
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths
Ruslan Khalitov, Tong Yu, Lei Cheng +1
Sequential data naturally have different lengths in many domains, with some very long sequences. As an important modeling tool, neural attention should capture long-range interacti…
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng, Ruslan Khalitov, Tong Yu +1
Classification of long sequential data is an important Machine Learning task and appears in many application scenarios. Recurrent Neural Networks, Transformers, and Convolutional N…
Sparse Factorization of Large Square Matrices
Ruslan Khalitov, Tong Yu, Lei Cheng +1
Square matrices appear in many machine learning problems and models. Optimization over a large square matrix is expensive in memory and in time. Therefore an economic approximation…
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu, Hong Zhu
Since deep neural networks were developed, they have made huge contributions to everyday lives. Machine learning provides more rational advice than humans are capable of in almost…
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
Tong Yu, Didier Mutter, Jacques Marescaux +1
Vision algorithms capable of interpreting scenes from a real-time video stream are necessary for computer-assisted surgery systems to achieve context-aware behavior. In laparoscopi…