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HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks., , , , , , , , , and 1 other author(s). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 38 (8): 1543-1556 (2019)Graph processing and machine learning architectures with emerging memory technologies: a survey.. Sci. China Inf. Sci., (2021)ReversiSpec: Reversible Coherence Protocol for Defending Transient Attacks., and . CoRR, (2020)RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training., , , , , , , , , and 3 other author(s). CoRR, (2023)QuEst: Graph Transformer for Quantum Circuit Reliability Estimation., , , , , , , , , and 3 other author(s). CoRR, (2022)Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework., , , , , , , and . CoRR, (2020)ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition., , , , and . MICRO, page 992-1004. ACM, (2021)A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols., , and . CoRR, (2020)DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition., and . ASPLOS (1), page 47-61. ACM, (2023)DudeTM: Building Durable Transactions with Decoupling for Persistent Memory., , , , , , and . ASPLOS, page 329-343. ACM, (2017)