221 citations · 319 across the 19 of their papers we have counts for
6 papers · 1 filter
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty, Xujiang Zhao, Feng Chen +1
Semi-supervised learning (SSL) algorithms have had great success in recent years in limited labeled data regimes. However, the current state-of-the-art SSL algorithms are computati…
FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting
Bi-Ying Yan, Chao Yang, Feng Chen +2
With the goal of predicting the future rainfall intensity in a local region over a relatively short period time, precipitation nowcasting has been a long-time scientific challenge…
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Xujiang Zhao, Feng Chen, Jin-Hee Cho
Subjective Logic (SL) is one of well-known belief models that can explicitly deal with uncertain opinions and infer unknown opinions based on a rich set of operators of fusing mult…
Dual Averaging Method for Online Graph-structured Sparsity
Baojian Zhou, Feng Chen, Yiming Ying
Online learning algorithms update models via one sample per iteration, thus efficient to process large-scale datasets and useful to detect malicious events for social benefits, suc…
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou, Feng Chen, Yiming Ying
Stochastic optimization algorithms update models with cheap per-iteration costs sequentially, which makes them amenable for large-scale data analysis. Such algorithms have been wid…
Training and Inference with Integers in Deep Neural Networks
Shuang Wu, Guoqi Li, Feng Chen +1
Researches on deep neural networks with discrete parameters and their deployment in embedded systems have been active and promising topics. Although previous works have successfull…