Ke-Thia Yao

Publication Activity (10 Years)

Years Active: 1994-2022
Publications (10 Years): 8

Top Topics

Link Prediction

Boltzmann Machine

Top Venues

Publications

Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao
Augmenting Knowledge Graphs for Better Link Prediction. IJCAI (2022)
Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao
Augmenting Knowledge Graphs for Better Link Prediction. CoRR (2022)
Jeremy Liu, Ke-Thia Yao, Federico M. Spedalieri
Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers. Entropy 22 (11) (2020)
Daniel Garijo, Ke-Thia Yao, Amandeep Singh, Pedro A. Szekely
A Template-Based Approach for Annotating Long-Tail Datasets. ASLD@ISWC (2020)
Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma
A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. ACM J. Emerg. Technol. Comput. Syst. 14 (2) (2018)
Jeremy Liu, Federico M. Spedalieri, Ke-Thia Yao, Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Garrett S. Rose, Gangotree Chakma
Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy 20 (5) (2018)
Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. CoRR (2017)
Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. MLHPC@SC (2016)
Yintao Liu, Anqi Wu, Dong Guo, Ke-Thia Yao, Cauligi S. Raghavendra
Weighted Task Regularization for Multitask Learning. ICDM Workshops (2013)
Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi S. Raghavendra, Oluwafemi Balogun, Lanre Olabinjo
Semi-supervised Failure Prediction for Oil Production Wells. ICDM Workshops (2011)
Hyokyeong Lee, Ke-Thia Yao, Aiichiro Nakano
Dynamic Structure Learning of Factor Graphs and Parameter Estimation of a Constrained Nonlinear Predictive Model for Oilfield Optimization. IC-AI (2010)
Thomas D. Gottschalk, Ke-Thia Yao, Gene Wagenbreth, Robert F. Lucas, Dan M. Davis
Distributed and Interactive Simulations Operating at Large Scale for Transcontinental Expeimentation. DS-RT (2010)
Gene Wagenbreth, Ke-Thia Yao, Dan M. Davis, Robert F. Lucas, Thomas D. Gottschalk
Enabling 1, 000, 000-entity simulations on distributed Linux clusters. WSC (2005)
In-Young Ko, Ke-Thia Yao, Robert Neches
Dynamic coordination of information management services for processing dynamic web content. WWW (2002)
Robert Neches, Ke-Thia Yao, Alejandro Bugacov, Vished Kumar, Ragy Eleish
GeoWorlds: integrating GIS and digital libraries for situation understanding and management. New Rev. Hypermedia Multim. 7 (2001)
Ke-Thia Yao, In-Young Ko, Ragy Eleish, Robert Neches
Asynchronous information space analysis architecture using content and structure-based service brokering. ACM DL (2000)
Ke-Thia Yao, Robert Neches, In-Young Ko, Ragy Eleish, Sameer Abhinkar
Synchronous and Asynchronous Collaborative Information Space Analysis Tools. ICPP Workshops (1999)
Robert Neches, Sameer Abhinkar, Fangqi Hu, Ragy Eleish, In-Young Ko, Ke-Thia Yao, Quan M. Zhu, Peter M. Will
Collaborative Information Space Analysis Tools. D Lib Mag. 4 (10) (1998)
Thomas Ellman, John Eric Keane, Mark Schwabacher, Ke-Thia Yao
Multilevel modelling for engineering design optimization. Artif. Intell. Eng. Des. Anal. Manuf. 11 (5) (1997)
Ke-Thia Yao, Andrew Gelsey
Intelligent automated grid generation for numerical simulations. Artif. Intell. Eng. Des. Anal. Manuf. 10 (3) (1996)
Ke-Thia Yao, Andrew Gelsey
Intelligent Automated Grid Generation for Numerical Simulations. AAAI (1994)