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Liao, Keng-Mao
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1

A Deep Learning Framework for Time-Series Processing-Micros..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Mao, Yuwei ; Hasan, Mahmudul ; Lee, Claire... - p. 890-893 , 2023
Link: https://doi.org/10.1109/..
 
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2

Physics-based Data-Augmented Deep Learning for Enhanced Aut..:

, In: Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing,
Gupta, Vishu ; Lyu, Yuhui ; Suarez, Derick... - p. 188-197 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

AI for Learning Deformation Behavior of a Material: Predict..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Mao, Yuwei ; Keshavarz, Shahriyar ; Gupta, Vishu... - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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4

To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategi..:

, In: 2022 International Conference on Computational Science and Computational Intelligence (CSCI),
Mao, Yuwei ; Gupta, Vishu ; Wang, Kewei... - p. 298-301 , 2022
Link: https://doi.org/10.1109/..
 
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5

Pre-Activation based Representation Learning to Enhance Pre..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Gupta, Vishu ; Liao, Wei-keng ; Choudhary, Alok. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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6

I/O in WRF: A Case Study in Modern Parallel I/O Techniques:

, In: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis,
Huang, Zanhua ; Hou, Kaiyuan ; Agrawal, Ankit... - p. 1-13 , 2023
Link: https://doi.org/10.1145/..
 
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7

A Case Study of Data Management Challenges Presented in Lar..:

, In: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
Lee, Claire Songhyun ; Hewes, V ; Cerati, Giuseppe... - p. 71-81 , 2023
Link: https://doi.org/10.1109/..
 
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8

I/O in WRF: A Case Study in Modern Parallel I/O Techniques:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Huang, Zanhua ; Hou, Kaiyuan ; Agrawal, Ankit... - p. 1-13 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

Which Deep Learning Framework Should I Use: A Comparative S..:

, In: 2022 International Conference on Computational Science and Computational Intelligence (CSCI),
Gupta, Vishu ; Liao, Wei-Keng ; Choudhary, Alok. - p. 72-77 , 2022
Link: https://doi.org/10.1109/..
 
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10

Using Multi-Resolution Data to Accelerate Neural Network Tr..:

, In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
Wang, Kewei ; Lee, Sunwoo ; Balewski, Jan... - p. 404-413 , 2022
Link: https://doi.org/10.1109/..
 
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11

Heterogeneous Feature Fusion Based Machine Learning on Shal..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Yang, Zijiang ; Watari, Tetsushi ; Ichigozaki, Daisuke... - p. 566-577 , 2021
Link: https://doi.org/10.1007/..
 
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12

Improving all-to-many personalized communication in two-pha..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Kang, Qiao ; Ross, Robert ; Latham, Robert... - p. 1-13 , 2020
Link: https://dl.acm.org/doi/1..
 
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13

Predicting Resource Requirement in Intermediate Palomar Tra..:

, In: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID),
Kang, Qiao ; Sim, Alex ; Nugent, Peter... - p. 619-628 , 2020
Link: https://doi.org/10.1109/..
 
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14

Data-Driven Insights from Predictive Analytics on Heterogen..:

, In: 2019 International Conference on Data Mining Workshops (ICDMW),
Yang, Zijiang ; Watari, Tetsushi ; Ichigozaki, Daisuke... - p. 806-813 , 2019
Link: https://doi.org/10.1109/..
 
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15

Peak Area Detection Network for Directly Learning Phase Reg..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),
Jha, Dipendra ; Kusne, Aaron Gilad ; Al-Bahrani, Reda... - p. 1-8 , 2019
Link: https://doi.org/10.1109/..
 
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