activity
20152026
most citedMulti-Label Learning with Deep Forest

32 citations · 116 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 1 cited

Theoretical Exploration of Flexible Transmitter Model

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang +1

Neural network models generally involve two important components, i.e., network architecture and neuron model. Although there are abundant studies about network architectures, only…

cs.LG2021★ 5 cited

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values

Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang +1

Multivariate time series (MTS) prediction is ubiquitous in real-world fields, but MTS data often contains missing values. In recent years, there has been an increasing interest in…

cs.LG2021★ 2 cited

Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning

Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen +3

In many real-world imitation learning tasks, the demonstrator and the learner have to act under different observation spaces. This situation brings significant obstacles to existin…

cs.LG2021★ 17 cited

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

Yang Yang, Zhao-Yang Fu, De-Chuan Zhan +2

Complex objects are usually with multiple labels, and can be represented by multiple modal representations, e.g., the complex articles contain text and image information as well as…

cs.LG2021★ 30 cited

A Simple Approach for Non-stationary Linear Bandits

Peng Zhao, Lijun Zhang, Yuan Jiang +1

This paper investigates the problem of non-stationary linear bandits, where the unknown regression parameter is evolving over time. Existing studies develop various algorithms and…