Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
---|---|---|---|---|---|---|
2022 | A Cloud-Native Online Judge System | Guan-Chen Pan; Pangfeng Liu; Jan-Jan Wu | ||||
2018 | A Collaborative CPU-GPU Approach for Principal Component Analysis on Mobile Heterogeneous Platform | Olivier Valery; Pangfeng Liu; Jan-Jan Wu | Journal of Parallel and Distributed Computing (JPDC) 120, 44-61 | |||
2019 | A collaborative CPU‐GPU approach for deep learning on mobile devices | Olivier Valery; Pangfeng Liu; Jan-Jan Wu | Concurrency and Computation: Practice and Experience 31(17), e5225 | |||
2015 | A Dynamic Binary Translation System in a Client/Server Environment | Chun-Chen Hsu; Ding-Yong Hong; Wei-Chung Hsu; Pangfeng Liu; Jan-Jan Wu | Journal of Systems Architecture 61(7), 307-319 | |||
2012 | A Dynamic Binary Translation System in a Client/Server Environment | Ding-Yong Hong; Chun-Chen Hsu; Chao-Rui Chang; Jan-Jan Wu; Pen-Chung Yew; Wei-Chung Hsu; Pangfeng Liu; Chien-Min Wang; Yeh-Ching Chung | TR-IIS-12-002 | |||
2015 | A Partial Workload Offloading Framework in a Mobile Cloud Computing Context | Olivier Valery; Ju-Chen Chou; Yulin Tsao; Pangfeng Liu; Jan-Jan Wu | ||||
2006 | Abstracting Knowledge from Annotated Chinese-Chess game Records | Bo-Nian Chen; Pangfeng Liu; Shun-Chin Hsu; Tsan-sheng Hsu | ||||
2021 | Accelerate CNN Models via Filter Pruning and Sparse Tensor Core | An-Tai Chen; Pangfeng Liu; Ding-Yong Hong; Jan-Jan Wu | ||||
2022 | Accelerating Video Captioning on Heterogeneous System Architectures | Horng-Ruey Huang; Ding-Yong Hong; Jan-Jan Wu ; Kung-Fu Chen; Pangfeng Liu; Wei-Chung Hsu | ACM Transactions on Architecture and Code Optimization (TACO) 19(3), 38 | |||
2018 | Adaptive Communication for Distributed Deep Learning on Commodity GPU Cluster | Li-Yung Ho; Jan-Jan Wu; Pangfeng Liu | ||||
2012 | Aggregating Consistent Endgame Knowledge in Chinese Chess | Bo-Nian Chen; Pangfeng Liu; Shun-Chin Hsu; Tsan-sheng Hsu | Knowledge-Based Systems 34, 34-42 | |||
2020 | An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks | Leo Chen; Pangfeng Liu; Jan-Jan Wu | ||||
2014 | An Adaptive OpenCL Computation Offloading Framework on Mobile Device | Olivier Valery; Wei-Shu Hung; Ju-Chen Chou; Pangfeng Liu; Jan-Jan Wu | ||||
2015 | An Asymmetry-aware Energy-efficientHypervisor Scheduling Policy for Asymmetric Multi-core | Ching-Chi Lin; You-Cheng Syu; Yi-Chung Chen; Jan-Jan Wu; Pangfeng Liu; Po-Wen Cheng; Wei-Te Hsu | TR-IIS-15-003 | |||
2014 | An Energy-Efficient Hypervisor Scheduler for Asymmetric Multicore | Ching-Chi Lin; Chao-Jui Chang; You-Chen Syu; Jan-Jan Wu; Pangfeng Liu; Po-Wen Cheng; Wei-Te Hsu | ||||
2016 | An Energy-efficient Scheduler for Throughput Guaranteed Jobs on Asymmetric Multi-core Platforms | Ching-Chi Lin; Hsiang-Hsin Li; Pangfeng Liu; Jan-Jan Wu | ||||
2018 | Communication Usage Optimization of Gradient Sparsification with Aggregation in Deep Learning | Sheng-Ping Wang; Pangfeng Liu; Jan-Jan Wu | ||||
2009 | Conflict Resolution of Chinese Chess Endgame Knowledge Base | Bo-Nian Chen; Pangfeng Liu; Shun-Chin Hsu; Tsan-sheng Hsu | ||||
2017 | CPU/GPU Collaboration Techniques for Transfer Learning on Mobile Devices | Olivier Valery; Pangfeng Liu; Jan-Jan Wu | ||||
2017 | Data Partition Optimization for Column-Family NoSQL databases | Meng-Ju Hsieh; Li-Yung Ho; Jan-Jan Wu ; Pangfeng Liu | International Journal of Big Data Intelligence 4(4), 263-275 |