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Liu, Pangfeng
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1

Accelerating Convolutional Neural Networks via Inter-operat..:

, In: 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS),
You, Yi ; Liu, Pangfeng ; Hong, Ding-Yong.. - p. 916-923 , 2023
Link: https://doi.org/10.1109/..
 
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2

Accelerate Inference of CNN Models on CPU via Column Combin..:

, In: 2023 Eleventh International Symposium on Computing and Networking (CANDAR),
Lin, Chien-Hung ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 20-29 , 2023
Link: https://doi.org/10.1109/..
 
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3

Function Clustering to Optimize Resource Utilization on Con..:

, In: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS),
Lee, Chao-Yu ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 2724-2725 , 2023
Link: https://doi.org/10.1109/..
 
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4

Exploiting Fine-Grained Structured Pruning for Efficient In..:

, In: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS),
Wu, Cheng-Hung ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 2835-2836 , 2023
Link: https://doi.org/10.1109/..
 
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5

CNN Models Acceleration Using Filter Pruning and Sparse Ten..:

Wei, Hong-Xuan ; Liu, Pangfeng ; Hong, Ding-Yong..
International Journal of Networking and Computing.  12 (2022)  2 - p. 270-294 , 2022
Link: https://doi.org/10.15803..
 
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6

A Cloud-Native Online Judge System:

, In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),
Pan, Guan-Chen ; Liu, Pangfeng ; Wu, Jan-Jan - p. 1293-1298 , 2022
Link: https://doi.org/10.1109/..
 
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7

Efficient Inference on Convolutional Neural Networks by Ima..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Chang, Yu-Jen ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 5672-5681 , 2022
Link: https://doi.org/10.1109/..
 
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8

Accelerating Video Captioning on Heterogeneous System Archi..:

Huang, Horng-Ruey ; Hong, Ding-Yong ; Wu, Jan-Jan...
ACM Transactions on Architecture and Code Optimization.  19 (2022)  3 - p. 1-25 , 2022
Link: https://doi.org/10.1145/..
 
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9

Efficient Dual Batch Size Deep Learning for Distributed Par..:

, In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),
Lu, Kuan-Wei ; Liu, Pangfeng ; Hong, Ding-Yong. - p. 630-639 , 2022
Link: https://doi.org/10.1109/..
 
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10

Accelerating Video Captioning on Heterogeneous System Archi..:

Huang, Horng-Ruey ; Hong, Ding-Yong ; Wu, Jan-Jan...
ACM Transactions on Architecture and Code Optimization (TACO).  19 (2022)  3 - p. 1-25 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Task Scheduling Techniques for Deep Learning in Heterogeneo..:

, In: 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW),
Liu, Pangfeng ; Wu, Jan-Jan - p. 141-147 , 2019
Link: https://doi.org/10.1109/..
 
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12

A collaborative CPU‐GPU approach for deep learning on mobil..:

Valery, Olivier ; Liu, Pangfeng ; Wu, Jan‐Jan
Concurrency and Computation: Practice and Experience.  31 (2019)  17 - p. , 2019
Link: https://doi.org/10.1002/..
 
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13

A Bicameralism Voting Framework for Combining Knowledge fro..:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Hsieh, Yu-Tung ; Lee, Chuan-Yu ; Lin, Ching-Chi.. - p. 298-306 , 2019
Link: https://doi.org/10.1109/..
 
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14

Communication Usage Optimization of Gradient Sparsification..:

, In: Proceedings of the 2018 VII International Conference on Network, Communication and Computing,
Wang, Sheng-Ping ; Liu, Pangfeng ; Wu, Jan-Jan - p. 22-26 , 2018
Link: https://dl.acm.org/doi/1..
 
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15

A collaborative CPU–GPU approach for principal component an..:

Valery, Olivier ; Liu, Pangfeng ; Wu, Jan-Jan
Journal of Parallel and Distributed Computing.  120 (2018)  - p. 44-61 , 2018
Link: https://doi.org/10.1016/..
 
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