50 citations · 100 across the 6 of their papers we have counts for
6 papers
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference
Binghao Lu, Caiwen Ding, Jinbo Bi +1
Change detection, which aims to detect spatial changes from a pair of multi-temporal images due to natural or man-made causes, has been widely applied in remote sensing, disaster m…
Distilling Adversarial Robustness Using Heterogeneous Teachers
Jieren Deng, Aaron Palmer, Rigel Mahmood +4
Achieving resiliency against adversarial attacks is necessary prior to deploying neural network classifiers in domains where misclassification incurs substantial costs, e.g., self-…
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
Hongwu Peng, Shaoyi Huang, Shiyang Chen +8
Transformers are considered one of the most important deep learning models since 2018, in part because it establishes state-of-the-art (SOTA) records and could potentially replace…
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent
Soumitra Pal, Tingyang Xu, Tianbao Yang +2
In prior works, stochastic dual coordinate ascent (SDCA) has been parallelized in a multi-core environment where the cores communicate through shared memory, or in a multi-processo…
On Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu +1
We investigate a general framework of multiplicative multitask feature learning which decomposes each task's model parameters into a multiplication of two components. One of the co…
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction
Tingyang Xu, Jiangwen Sun, Jinbo Bi
Longitudinal analysis is important in many disciplines, such as the study of behavioral transitions in social science. Only very recently, feature selection has drawn adequate atte…