56 citations · 160 across the 28 of their papers we have counts for
8 papers · 1 filter
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
Wenlong Deng, Lang Lang, Zhen Liu +1
In light of the smoothness property brought by skip connections in ResNet, this paper proposed the Skip Logit to introduce the skip connection mechanism that fits arbitrary DNN dim…
Baseline correction for FAST radio recombination lines: a modified penalized least squares smoothing technique
Bin Liu, Lixin Wang, Junzhi Wang +2
A pilot project has been proceeded to map 1 deg on the Galactic plane for radio recombination lines (RRLs) using the Five hundred meter Aperture Spherical Telescope (FAST). The…
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
Chengfei Lv, Chaoyue Niu, Renjie Gu +17
To break the bottlenecks of mainstream cloud-based machine learning (ML) paradigm, we adopt device-cloud collaborative ML and build the first end-to-end and general-purpose system,…
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Xiuxiu Bai, Zhe Liu, Yao Gao +2
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (…
The FAST Ultra-Deep Survey (FUDS): observational strategy, calibration and data reduction
Hongwei Xi, Bo Peng, Lister Staveley-Smith +2
The FAST Ultra-Deep Survey (FUDS) is a blind survey that aims for the direct detection of HI in galaxies at redshifts . The survey uses the multibeam receiver on the Five H…
Notes on BIM and BFM Optimal Power Flow With Parallel Lines and Total Current Limits
Frederik Geth, Bin Liu
The second-order cone relaxation of the branch flow model (BFM) and bus injection model (BIM) variants of optimal power flow are well-known to be equivalent for radial networks. In…