Search Results for author: You Song

Found 5 papers, 2 papers with code

One-shot neural band selection for spectral recovery

no code implementations16 May 2023 Hai-Miao Hu, Zhenbo Xu, Wenshuai Xu, You Song, YiTao Zhang, Liu Liu, Zhilin Han, Ajin Meng

To solve this ill-posed inverse problem, most band selection methods adopt hand-crafted priors or exploit clustering or sparse regularization constraints to find most prominent bands.

Spectral Reconstruction

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

1 code implementation22 Mar 2020 Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song

Graph representation learning is a fundamental task in various applications that strives to learn low-dimensional embeddings for nodes that can preserve graph topology information.

Dynamic graph embedding Graph Representation Learning +1

An anomaly prediction framework for financial IT systems using hybrid machine learning methods

no code implementations30 Jul 2019 Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song

To improve the efficiency and accuracy of system failure detection and thereby reduce the impact of system failures on financial services, we propose a novel machine learning-based framework to predict the occurrence of system exceptions and failures in a financial software system.

BIG-bench Machine Learning Time Series Prediction

Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize

1 code implementation4 Mar 2019 Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song

Unsupervised cross-spectral stereo matching aims at recovering disparity given cross-spectral image pairs without any supervision in the form of ground truth disparity or depth.

Image-to-Image Translation Stereo Matching +2

Mimicing the Kane-Mele type spin orbit interaction by spin-flexual phonon coupling in graphene devices

no code implementations28 Mar 2015 Zhanbin Bai, Rui Wang, Yazhou Zhou, Tianru Wu, Jianlei Ge, Jing Li, Yuyuan Qin, Fucong Fei, Lu Cao, Xuefeng Wang, Xinran Wang, Shuai Zhang, Liling Sun, You Song, Fengqi Song

On the efforts of enhancing the spin orbit interaction (SOI) of graphene for seeking the dissipationless quantum spin Hall devices, unique Kane-Mele type SOI and high mobility samples are desired.

Mesoscale and Nanoscale Physics

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