Yangqiu Song

I am now an assistant professor at Department of CSE with a joint appointment at Math Department at HKUST. I was an assistant professor at Lane Department of CSEE at WVU (2015-2016); a post-doc researcher at UIUC (2013-2015), a post-doc researcher at HKUST and visiting researcher at Huawei Noah's Ark Lab, Hong Kong (2012-2013); an associate researcher at Microsoft Research Asia (2010-2012); a staff researcher at IBM Research-China  (2009-2010). I received my B.E. and Ph.D. degree from Tsinghua University, China, in July 2003 and January 2009. I also worked as interns at Google in 2007-2008 and at IBM Research-China in 2006-2007.

Office: Room 3518

Clearwater Bay, Kowloon, Hong Kong

Email:  yqsong  #  cse dot ust dot hk

Research Interests: knowledge graph, text mining, information extraction, machine learning.


Code    KnowComp Group Code    Google scholar    DBLP    LinkedIn   Full Publication List

Invited Talks:

2017 Summer: SCUT, PKU. Recent Development of Heterogeneous Information Networks: From Meta-paths to Meta-graphs. [ppt] [pdf]

IJCAI 2016 Workshop on Heterogeneous Information Network Analysis. Incorporating Structured World Knowledge into Unstructured Text via Heterogeneous Information Networks. [ppt] [pdf] (extended abstract [pdf])

ICDM 2015 Workshop on Practical Transfer Learning. Text Classification without Supervision: Incorporating World Knowledge and Domain Adaptation. [ppt] [pdf]

Teaching:

2017 Spring,Fall@HKUST: COMP3211, Fundamentals of Artificial Intelligence (Canvas)

2016 Fall@HKUST: COMP6211A, Topics in Text Mining and Knowledge Graph Construction, Inference, and Applications

2016 Spring@WVU: CS472, Artificial Intelligence

2015 Fall@WVU: CS493n, Big Data Engineering

Group:

PhDs:

MPhils:

RAs:

Past students, interns, visitors, collaborators with first employment: 

Recent Research Topics (Full Publication List):

World knowledge inference and learning (Survey Preliminary Version).

1. Text classification without supervision; Learning with "flat world knowledge feature representation" and domain adaptation.

2. Classical learning problems with "structural HIN representation;" Learning with world knowledge as  indirect supervision.

Information extraction (Situation frame detection from low-resource languages:  LoReHLT 2016,  LoReHLT 2017; Event extraction from news: ACE 2005, TAC KBP 2014TAC KBP 2015; Discourse parser: CoNLL Shared Task 2015).

Short text conceptualization with Web-scale concept knowledge base  (Probase: a probabilistic knowledge base about open domain concepts extracted from 1.68 billion Web documents, data download and exploration: link).

Visual text analytics (TIARA : interactive text topic visualization).

Service:

Journal Editorial Board: Journal of Artificial Intelligence Research (2016.07-2019.06)

Journal Guest Editor: IEEE Transaction on Big Data Special Issue on “Knowledge Graphs: Techniques and Applications.”

Journal Reviewer (selected): IEEE TPAMI; IEEE TKDE; IEEE TBD; IEEE SMC-B; IEEE TCybernetics; IEEE TNN; IEEE ITSTM; IEEE IS; ACM TKDD; ACM TIST; ACM TMCCA; JAIR; MLJ; DMKD; IR; PR; PRL; BMC Bioinformatics

Co-Chair:

IJCAI'19 in Macau: Local Chair

ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE'11)

Conference on Natural Language Processing and Chinese Computing (NLPCC’17): Machine Learning Track Area Chair

Senior Program Committee: IJCAI'15; AAAI'18

Program Committee: CIKM'14,17; *SEM'17; NIPS'15-17; ECML/PKDD'11,14-17; KDD'13-17; ACL'13,17; DASFAA'17; AAAI'15-17; SDM'15-17; ICDM'14-16; IJCAI'13,16; ICMLA'07-15; IEEE DSAA'15; ICTAI'11-12,14-15; ACML'13-15; ICML'15; BigComp'15; CIKM'14; CIDM'13-14; COLING'14; SMIR'14; WSDM'14; IEEE-CSE'12-13; RecSys'13; LSRS'13; IUI'13; ParLearning'12-13; LSVA'11; OEDM'09-11; SBNMA'11

Research Sponsors:

HK-UGC, HK-RGC, NSFC 973 Big Data, DARPA LORELEI, Wechat WHAT Lab.