activity
20142017
most citedCharacterizing Driving Styles with Deep Learning

91 citations · 123 across the 7 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2016★ 5 cited

A Self-Paced Regularization Framework for Multi-Label Learning

Changsheng Li, Fan Wei, Junchi Yan +4

In this paper, we propose a novel multi-label learning framework, called Multi-Label Self-Paced Learning (MLSPL), in an attempt to incorporate the self-paced learning strategy into…

cs.LG2016★ 15 cited

Self-Paced Multi-Task Learning

Changsheng Li, Junchi Yan, Fan Wei +3

In this paper, we propose a novel multi-task learning (MTL) framework, called Self-Paced Multi-Task Learning (SPMTL). Different from previous works treating all tasks and instances…

cs.LG2015★ 5 cited

Joint Active Learning with Feature Selection via CUR Matrix Decomposition

Changsheng Li, Xiangfeng Wang, Weishan Dong +3

This paper presents an unsupervised learning approach for simultaneous sample and feature selection, which is in contrast to existing works which mainly tackle these two problems s…

cs.LG2014★ 2 cited

Dynamic Structure Embedded Online Multiple-Output Regression for Stream Data

Changsheng Li, Fan Wei, Weishan Dong +3

Online multiple-output regression is an important machine learning technique for modeling, predicting, and compressing multi-dimensional correlated data streams. In this paper, we…

cs.LG2014★ 1 cited

Max-Margin based Discriminative Feature Learning

Changsheng Li, Qingshan Liu, Weishan Dong +2

In this paper, we propose a new max-margin based discriminative feature learning method. Specifically, we aim at learning a low-dimensional feature representation, so as to maximiz…