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MNN: A Universal and Efficient Inference Engine., , , , , , , , , and 2 other author(s). CoRR, (2020)Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data., , , , , , , and . IEEE Trans. Instrum. Meas., (2021)INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices., , , , , , , , , and 1 other author(s). CoRR, (2020)Circular Convolution Filter Bank Multicarrier (FBMC) System with Index Modulation., , , , and . VTC Fall, page 1-5. IEEE, (2017)Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning., , , , , , , and . CoRR, (2019)Combination-selection algorithm for FBMC-IM system., , , and . WCSP, page 1-6. IEEE, (2017)Low complexity K-best detectors for MIMO-OFDM-IM system., , , and . WCSP, page 1-6. IEEE, (2017)MNN: A Universal and Efficient Inference Engine., , , , , , , , , and 2 other author(s). MLSys, mlsys.org, (2020)A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses., , , , , , and . IEEE Access, (2020)TCGTR-based channel estimation for cooperative multi-cell large scale antenna systems., , , and . ICC Workshops, page 1089-1094. IEEE, (2015)