Hao Su

TL;DR: A simple heat/cool cycle can be used to significantly affect the properties of a solution of a low‐molecular‐weight gelator at high pH, leading to materials with very different properties than when the native solution is used.

TL;DR: The Binary Ensemble Neural Network (BENN) as mentioned in this paper leverages ensemble methods to improve the performance of BNNs with limited efficiency cost, which can even surpass the accuracy of the full-precision floating number network with the same architecture.

TL;DR: Zhang et al. as discussed by the authors constructed a stratified low-dimensional quasi-natural image space that faithfully approximates the natural image space while also removing adversarial perturbations, and introduced a novel Sparse Transformation Layer (STL) in between the input image and the first layer of the neural network.

TL;DR: A large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database and the best performing teams have outperformed state-of-the-art approaches on both tasks.

TL;DR: This paper provides an overview of MRI-compatible fiber-optic force sensors based on different sensing principles, including light intensity modulation, wavelength modulation, and phase modulation and discusses the fundamental principles, state of the art development, and challenges of Fiber-optIC force sensors for MRI-guided interventions and rehabilitation.