Search Results for author: Ning Zhou

Found 11 papers, 0 papers with code

Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating

no code implementations6 Jul 2023 Sheng-Lan Liu, Yu-Ning Ding, Si-Fan Zhang, Wen-Yue Chen, Ning Zhou, Hao liu, Gui-Hong Lao

MMFS, which possesses action recognition and action quality assessment, captures RGB, skeleton, and is collected the score of actions from 11671 clips with 256 categories including spatial and temporal labels.

Action Analysis Action Quality Assessment +1

Fixed-Time Cooperative Behavioral Control for Networked Autonomous Agents with Second-Order Nonlinear Dynamics

no code implementations11 Mar 2021 Ning Zhou, Xiaodong Cheng, Zhongqi Sun, Yuanqing Xia

In this paper, we investigate the fixed-time behavioral control problem for a team of second-order nonlinear agents, aiming to achieve a desired formation with collision/obstacle~avoidance.

Optimization and Control

Ubiquitous proximity to a critical state for collective neural activity in the CA1 region of freely moving mice

no code implementations26 Feb 2021 Yi-Ling Chen, Chun-Chung Chen, Yu-Ying Mei, Ning Zhou, Dongchuan Wu, Ting-Kuo Lee

By independently altering the coupling distribution and the network structure of the statistical model, the network structures are found to be vital to maintain the proximity to the critical state.


$\rm ^{83}Rb$/$\rm ^{83m}Kr$ production and cross-section measurement with 3.4 MeV and 20 MeV proton beams

no code implementations4 Feb 2021 Dan Zhang, Jingkai Xia, YiFan Li, Jingtao You, Yao Li, Changbo Fu, Jianglai Liu, Ning Zhou, Jie Bao, Huan Jia, Chenzhang Yuan, Yuan He, Weixing Xiong, Mengyun Guan

$\rm ^{83m}Kr$, with a short lifetime, is an ideal calibration source for liquid xenon or liquid argon detectors.

Nuclear Experiment Instrumentation and Detectors

Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment

no code implementations CVPR 2020 Qiuyu Chen, Wei zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan

Specifically, the fractional dilated kernel is adaptively constructed according to the image aspect ratios, where the interpolation of nearest two integers dilated kernels is used to cope with the misalignment of fractional sampling.

Deep neural network marketplace recommenders in online experiments

no code implementations6 Sep 2018 Simen Eide, Ning Zhou

Recommendations are broadly used in marketplaces to match users with items relevant to their interests and needs.


Five lessons from building a deep neural network recommender

no code implementations6 Sep 2018 Simen Eide, Audun M. Øygard, Ning Zhou

Recommendation algorithms are widely adopted in marketplaces to help users find the items they are looking for.

Recommendation Systems Transfer Learning

Weather Forecasting Error in Solar Energy Forecasting

no code implementations24 Sep 2017 Hossein Sangrody, Morteza Sarailoo, Ning Zhou, Nhu Tran, Mahdi Motalleb, Elham Foruzan

Generally, observed weather data are applied in the solar PV generation forecasting model while in practice the energy forecasting is based on forecasted weather data.

Weather Forecasting

Limits on Axion Couplings from the first 80-day data of PandaX-II Experiment

no code implementations25 Jul 2017 Changbo Fu, Xiaopeng Zhou, Xun Chen, Yunhua Chen, Xiangyi Cui, Deqing Fang, Karl Giboni, Franco Giuliani, Ke Han, Xingtao Huang, Xiangdong Ji, Yonglin Ju, Siao Lei, Shaoli Li, Huaxuan Liu, Jianglai Liu, Yugang Ma, Yajun Mao, Xiangxiang Ren, Andi Tan, Hongwei Wang, Jimin Wang, Meng Wang, Qiuhong Wang, Siguang Wang, Xuming Wang, Zhou Wang, Shiyong Wu, Mengjiao Xiao, Pengwei Xie, Binbin Yan, Yong Yang, Jianfeng Yue, Hongguang Zhang, Tao Zhang, Li Zhao, Ning Zhou

We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.

High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology

On the Performance of Forecasting Models in the Presence of Input Uncertainty

no code implementations15 Jul 2017 Hossein Sangrody, Morteza Sarailoo, Ning Zhou, Ahmad Shokrollahi, Elham Foruzan

Generally, forecasting models are trained using observed weather data while the trained models are applied for energy forecasting using forecasted weather data.

Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition

no code implementations8 Jul 2017 Tianyi Zhao, Baopeng Zhang, Wei zhang, Ning Zhou, Jun Yu, Jianping Fan

Our LMM model can provide an end-to-end approach for jointly learning: (a) the deep networks to extract more discriminative deep features for image and object class representation; (b) the tree classifier for recognizing large numbers of object classes hierarchically; and (c) the visual hierarchy adaptation for achieving more accurate indexing of large numbers of object classes hierarchically.

Object Recognition

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