47 citations · 65 across the 8 of their papers we have counts for
8 papers
Perturbation-Based Two-Stage Multi-Domain Active Learning
Rui He, Zeyu Dai, Shan He +1
In multi-domain learning (MDL) scenarios, high labeling effort is required due to the complexity of collecting data from various domains. Active Learning (AL) presents an encouragi…
Multi-Domain Learning From Insufficient Annotations
Rui He, Shengcai Liu, Jiahao Wu +2
Multi-domain learning (MDL) refers to simultaneously constructing a model or a set of models on datasets collected from different domains. Conventional approaches emphasize domain-…
Multi-Domain Active Learning: Literature Review and Comparative Study
Rui He, Shengcai Liu, Shan He +1
Multi-domain learning (MDL) refers to learning a set of models simultaneously, where each model is specialized to perform a task in a particular domain. Generally, a high labeling…
Robust Dynamic Network Embedding via Ensembles
Chengbin Hou, Guoji Fu, Peng Yang +3
Dynamic Network Embedding (DNE) has recently attracted considerable attention due to the advantage of network embedding in various fields and the dynamic nature of many real-world…
GloDyNE: Global Topology Preserving Dynamic Network Embedding
Chengbin Hou, Han Zhang, Shan He +1
Learning low-dimensional topological representation of a network in dynamic environments is attracting much attention due to the time-evolving nature of many real-world networks. T…
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
Chengbin Hou, Han Zhang, Ke Tang +1
Learning topological representation of a network in dynamic environments has recently attracted considerable attention due to the time-evolving nature of many real-world networks i…
HEAT: Hyperbolic Embedding of Attributed Networks
David McDonald, Shan He
Finding a low dimensional representation of hierarchical, structured data described by a network remains a challenging problem in the machine learning community. An emerging approa…
Attributed Network Embedding for Incomplete Attributed Networks
Chengbin Hou, Shan He, Ke Tang
Attributed networks are ubiquitous since a network often comes with auxiliary attribute information e.g. a social network with user profiles. Attributed Network Embedding (ANE) has…