Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Kirk A. Ingold, Evgeni Sorokin | Summary: Powerful and efficient optical frequency combs in the mid-infrared (MIR) spectral region are highly desirable for a broad range of applications. Despite extensive efforts utilizing various techniques, MIR frequency comb sources are still […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Kirk A. Ingold, Evgeni Sorokin | Summary: Powerful and efficient optical frequency combs in the mid-infrared (MIR) spectral region are highly desirable for a broad range of applications. Despite extensive efforts utilizing various techniques, MIR frequency comb sources are still […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang, | Summary: Despite their outstanding performance in a broad spectrum of real-world tasks, deep artificial neural networks are sensitive to input noises, particularly adversarial perturbations. On the contrary, human and animal brains are much less vulnerable. In contrast to […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Pengbo Hu, Xingyu Li, Yi Zhou, , | Summary: As deep learning advances, there is an ever-growing demand for models capable of synthesizing information from multi-modal resources to address the complex tasks raised from real-life applications. Recently, many large multi-modal datasets have been collected, on which researchers […]
Kavli Affiliate: Wei Gao | First 5 Authors: Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao | Summary: Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation technologies for nerve-system impairments and amputation, […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu | Summary: Learning with noisy labels has aroused much research interest since data annotations, especially for large-scale datasets, may be inevitably imperfect. Recent approaches resort to a semi-supervised learning problem by dividing training samples into clean and […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Meng Xu, Yining Di, Xiqun Chen, Jingru Yu | Summary: Matching and pickup processes are core features of ride-sourcing services. Previous studies have adopted abundant analytical models to depict the two processes and obtain operational insights; while the goodness of fit between models and data […]
Kavli Affiliate: Michela Gallagher | Authors: Dong-Hee Kim, In-Beom Jin, Nam-Heon Kim, Yong-Jae Jeon, Bo-Ryoung Choi, Michela Gallagher and Jung-Soo Han | Summary: The lateral habenula (LHb) has been implicated in conditioned inhibition. Here, the modulating effects of LHb activity on the association of a conditioned stimulus (CS) with the nonoccurrence of an unconditioned stimulus […]
Kavli Affiliate: Wei Gao | First 5 Authors: Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao, | Summary: Margin has played an important role on the design and analysis of learning algorithms during the past years, mostly working with the maximization of the minimum margin. Recent years have witnessed the increasing empirical studies on the […]
Kavli Affiliate: Wei Gao | First 5 Authors: Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao | Summary: Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds due to quantization. In this paper, we propose […]