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Disambiguation of "Liang, Xiaoyao"

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Applying Victim Cache in High Performance GPGPU Computing.

, , , , and . ISPDC, page 24-29. IEEE Computer Society, (2016)

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Liang Liang

Liang-Liang Fu

Shu Chuan Liang

Dsin Dshin Liang

Qian Liang

 

Other publications of authors with the same name

ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 40 (1): 129-142 (2021)Selective Detection and Segmentation of Cervical Cells., , , , , and . ICBBT, page 55-61. ACM, (2019)Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators., , , , , , and . ICCAD, page 50. ACM, (2018)Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology., , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 571-580. Springer, (2021)RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators., , and . ICCD, page 158-165. IEEE, (2023)Bank stealing for conflict mitigation in GPGPU Register File., , , , , and . ISLPED, page 55-60. IEEE, (2015)A Hint Frequency Based Approach to Enhancing the I/O Performance of Multilevel Cache Storage Systems., , , , , , and . J. Comput. Sci. Technol., 32 (2): 312-328 (2017)A Process-Variation-Tolerant Floating-Point Unit with Voltage Interpolation and Variable Latency., , and . ISSCC, page 404-405. IEEE, (2008)Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point., , , , , , , and . ICCV, page 5261-5270. IEEE, (2021)PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration., , , and . HPCC/DSS/SmartCity, page 122-129. IEEE, (2020)