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Fluid: a framework for approximate concurrency via controlled dependency relaxation.

, , , , , , и . PLDI, стр. 252-267. ACM, (2021)

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Ping Jiang

Qiu Jiang

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Kaiyun Jiang

 

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A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation., , , , , , и . SoCC, стр. 227-232. IEEE, (2018)Strengthening barrier-coverage of static sensor network with mobile sensor nodes., , , , , и . Wireless Networks, 22 (1): 1-10 (2016)Predicting Protein-Ligand Docking Structure with Graph Neural Network., , , , , , , , и . J. Chem. Inf. Model., 62 (12): 2923-2932 (2022)Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks., , , , , , , и . J. Chem. Inf. Model., 60 (10): 4594-4602 (2020)CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference., , , , , и . MEMSYS, стр. 396-407. ACM, (2019)BitMapper: an efficient all-mapper based on bit-vector computing., , , , и . BMC Bioinform., (2015)Fortifying Barrier-Coverage of Wireless Sensor Network with Mobile Sensor Nodes., , , , , и . WASA, том 8491 из Lecture Notes in Computer Science, стр. 368-377. Springer, (2014)Morphable Convolutional Neural Network for Biomedical Image Segmentation., , , , , , и . DATE, стр. 1522-1525. IEEE, (2021)Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications., , , , , , и . HiPC, стр. 205-214. IEEE, (2019)Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs., , , , , , , и . CoRR, (2021)