Chang Wang

Publication Activity (10 Years)

Years Active: 2004-2016
Publications (10 Years): 1

Top Topics

Relation Extraction

Manifold Alignment

Dependency Tree

Top Venues

IBM J. Res. Dev.

Publications

Chang Wang, Liangliang Cao, James Fan
Building Joint Spaces for Relation Extraction. IJCAI (2016)
Chang Wang, Liangliang Cao, Bowen Zhou
Medical Synonym Extraction with Concept Space Models. IJCAI (2015)
Chang Wang, Liangliang Cao, Bowen Zhou
Medical Synonym Extraction with Concept Space Models. CoRR (2015)
Chang Wang, James Fan
Medical Relation Extraction with Manifold Models. ACL (1) (2014)
Chang Wang, Sridhar Mahadevan
Multiscale Manifold Learning. AAAI (2013)
Chang Wang, Sridhar Mahadevan
Manifold Alignment Preserving Global Geometry. IJCAI (2013)
Bonan Min, Ralph Grishman, Li Wan, Chang Wang, David Gondek
Distant Supervision for Relation Extraction with an Incomplete Knowledge Base. HLT-NAACL (2013)
Chang Wang, Aditya Kalyanpur, James Fan, Branimir Boguraev, David Gondek
Relation extraction and scoring in DeepQA. IBM J. Res. Dev. 56 (3) (2012)
Chang Wang, James Fan, Aditya Kalyanpur, David Gondek
Relation Extraction with Relation Topics. EMNLP (2011)
Chang Wang, Emine Yilmaz, Martin Szummer
Relevance feedback exploiting query-specific document manifolds. CIKM (2011)
Chang Wang, Sridhar Mahadevan
Jointly Learning Data-Dependent Label and Locality-Preserving Projections. IJCAI (2011)
Chang Wang, Sridhar Mahadevan
Heterogeneous Domain Adaptation Using Manifold Alignment. IJCAI (2011)
Chang Wang, Sridhar Mahadevan
A General Framework for Manifold Alignment. AAAI Fall Symposium: Manifold Learning and Its Applications (2009)
Chang Wang, Sridhar Mahadevan
Manifold Alignment without Correspondence. IJCAI (2009)
Chang Wang, Sridhar Mahadevan
Multiscale Analysis of Document Corpora Based on Diffusion Models. IJCAI (2009)
Chang Wang, Sridhar Mahadevan
Manifold alignment using Procrustes analysis. ICML (2008)
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns, Kimberly Ferguson, Chang Wang
Learning to Plan Using Harmonic Analysis of Diffusion Models. ICAPS (2007)
Jeffrey Johns, Sridhar Mahadevan, Chang Wang
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization. AAAI (2007)
Chang Wang, Stephen D. Scott
New kernels for protein structural motif discovery and function classification. ICML (2005)
Chang Wang, Stephen D. Scott, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev
New Techniques for Generation and Analysis of Evolutionary Trees. METMBS (2004)