activity
20142024
most citedUnderstanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data

111 citations · 251 across the 18 of their papers we have counts for

collaborators
Showing 2015Show all

7 papers · 1 filter

cs.DC2015

Parallel Knowledge Embedding with MapReduce on a Multi-core Processor

Miao Fan, Qiang Zhou, Thomas Fang Zheng +1

This article firstly attempts to explore parallel algorithms of learning distributed representations for both entities and relations in large-scale knowledge repositories with {\it…

cs.CV2015★ 12 cited

Detecting Table Region in PDF Documents Using Distant Supervision

Miao Fan, Doo Soon Kim

Superior to state-of-the-art approaches which compete in table recognition with 67 annotated government reports in PDF format released by {\it ICDAR 2013 Table Competition}, this p…

cs.AI2015★ 7 cited

Probabilistic Belief Embedding for Knowledge Base Completion

Miao Fan, Qiang Zhou, Andrew Abel +2

This paper contributes a novel embedding model which measures the probability of each belief in a large-scale knowledge repository via simultaneously learn…

cs.CL2015★ 6 cited

Distant Supervision for Entity Linking

Miao Fan, Qiang Zhou, Thomas Fang Zheng

Entity linking is an indispensable operation of populating knowledge repositories for information extraction. It studies on aligning a textual entity mention to its corresponding d…

cs.AI2015★ 7 cited

Large Margin Nearest Neighbor Embedding for Knowledge Representation

Miao Fan, Qiang Zhou, Thomas Fang Zheng +1

Traditional way of storing facts in triplets ({\it head\_entity, relation, tail\_entity}), abbreviated as ({\it h, r, t}), makes the knowledge intuitively displayed and easily acqu…

cs.CL2015★ 6 cited

Jointly Embedding Relations and Mentions for Knowledge Population

Miao Fan, Kai Cao, Yifan He +1

This paper contributes a joint embedding model for predicting relations between a pair of entities in the scenario of relation inference. It differs from most stand-alone approache…