• 2480 Citations
19962021
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Personal profile

Education/Academic qualification

Computer and Information Science, PhD, Syracuse University

… → 1999

Applied Mathematics, BS, National Chung Hsing University

… → 1988

Fingerprint Dive into the research topics where Wei-Keng Liao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Data storage equipment Engineering & Materials Science
Space time adaptive processing Engineering & Materials Science
Learning systems Engineering & Materials Science
High Performance Mathematics
Parallel algorithms Engineering & Materials Science
Communication Engineering & Materials Science
Clustering algorithms Engineering & Materials Science
Parallel I/O Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2001 2021

Research Output 1996 2019

Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training

Lee, S., Agrawal, A., Balaprakash, P., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 47-56 10 p. 8638635. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Communication
Supercomputers
Synchronization
Costs

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics

Yang, Z., Al-Bahrani, R., Reid, A. C. E., Papanikolaou, S., Kalidindi, S. R., Liao, W. K., Choudhary, A. & Agrawal, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852162. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Materials science
Neural networks
Availability
Deep learning

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

Jha, D., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Campbell, C. & Agrawal, A., Dec 1 2019, In : Nature communications. 10, 1, 5316.

Research output: Contribution to journalArticle

Open Access
learning
Density functional theory
Materials properties
density functional theory
predictions
9 Citations (Scopus)

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

Yang, Z., Yabansu, Y. C., Jha, D., Liao, W-K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Mar 1 2019, In : Acta Materialia. 166, p. 335-345 11 p.

Research output: Contribution to journalArticle

Elastic deformation
Composite materials
Microstructure
Materials science
Learning systems

Integration of burst buffer in high-level parallel I/O library for exa-scale computing era

Hou, K., Al-Bahrani, R., Rangel, E., Agrawal, A., Latham, R., Ross, R., Choudhary, A. & Liao, W. K., Feb 8 2019, Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-12 12 p. 8638428. (Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supercomputers
Computer systems
Agglomeration