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Military Scenario Named Entity Recognition Method Based on Deep Neural Network., , , and . ICCAIS, page 137-140. IEEE, (2018)Matrix Approximation with Cumulative Penalty for Collaborative Filtering., , , and . CSCWD, page 458-463. IEEE, (2019)An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines., , , , , and . ICDM Workshops, page 1209-1216. IEEE, (2018)PruX: Communication Pruning of Parallel BFS in the Graph 500 Benchmark., , , and . ICA3PP (1), volume 11334 of Lecture Notes in Computer Science, page 106-121. Springer, (2018)Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs., , , and . ICA3PP (2), volume 11945 of Lecture Notes in Computer Science, page 27-41. Springer, (2019)DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets., , , , and . NPC, volume 9966 of Lecture Notes in Computer Science, page 133-146. (2016)TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks., , , , and . CoRR, (2023)PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension., , , , , and . CoRR, (2020)MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets., , , , , and . ICIP, page 3379-3383. IEEE, (2023)CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms., , and . PCCNT, page 41:1-41:6. ACM, (2023)