337 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN7 papers
- Beijing Normal UniversityCN4 papers
- Central University of Finance and EconomicsCN4 papers
- Peking UniversityCN4 papers
- Renmin University of ChinaCN4 papers
- Tohoku UniversityJP4 papers
- Beihang UniversityCN3 papers
- The University of Texas at San AntonioUS3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Beijing University of Chemical TechnologyCN2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Hong Kong University of Science and TechnologyHK2 papers
5 papers · 1 filter
s-LWSR: Super Lightweight Super-Resolution Network
Biao Li, Jiabin Liu, Bo Wang +2
Deep learning (DL) architectures for superresolution (SR) normally contain tremendous parameters, which has been regarded as the crucial advantage for obtaining satisfying performa…
Learning from Label Proportions with Generative Adversarial Networks
Jiabin Liu, Bo Wang, Zhiquan Qi +2
In this paper, we leverage generative adversarial networks (GANs) to derive an effective algorithm LLP-GAN for learning from label proportions (LLP), where only the bag-level propo…
Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case Study
Ming Liu, Dongpeng Liu, Guangyu Sun +6
Detecting inaccurate smart meters and targeting them for replacement can save significant resources. For this purpose, a novel deep-learning method was developed based on long shor…
The asymptotic value of graph energy for random graphs with degree-based weights
Xueliang Li, Yiyang Li, Jiarong Song
In this paper, we investigate the energy of a weighted random graph in , in which each edge takes the weight , where is a random variabl…
Timing the market: the economic value of price extremes
Haibin Xie, Shouyang Wang
By decomposing asset returns into potential maximum gain (PMG) and potential maximum loss (PML) with price extremes, this study empirically investigated the relationships between P…